Supervised Learning : Modelling Dichotomous Categorical Responses for Prediction
John Pauline Pineda
December 3, 2022
- 1.
Table of Contents
- 1.1 Sample Data
- 1.2 Data Quality Assessment
- 1.3 Data Preprocessing
- 1.4 Data Exploration
- 1.5 Predictive Model
Development
- 1.5.1 Logistic Regression (LR)
- 1.5.2 Linear Discriminant Analysis (LDA)
- 1.5.3 Flexible Discriminant Analysis (FDA)
- 1.5.4 Mixture Discriminant Analysis (MDA)
- 1.5.5 Naive Bayes (NB)
- 1.5.6 Nearest Shrunken Centroids (NSC)
- 1.5.7 Averaged Neural Network (AVNN)
- 1.5.8 Support Vector Machine - Radial Basis Function Kernel (SVM_R)
- 1.5.9 Support Vector Machine - Polynomial Kernel (SVM_P)
- 1.5.10 K-Nearest Neighbors (KNN)
- 1.5.11 Classification and Regression Trees (CART)
- 1.5.12 Conditional Inference Trees (CTREE)
- 1.5.13 C5.0 Decision Trees (C50)
- 1.5.14 Random Forest (RF)
- 1.5.15 Bagged Trees (BTREE)
- 1.6 Consolidated Findings
- 2. Summary
- 3. References
1. Table of Contents
This project implements different predictive modelling procedures for dichotomous categorical responses using various helpful packages in R. Models applied in the analysis to predict dichotomous categorical responses included the Logistic Regression, Linear Discriminant Analysis, Flexible Discriminant Analysis, Mixture Discriminant Analysis, Naive Bayes, Nearest Shrunken Centroids, Averaged Neural Network, Support Vector Machine (Radial Basis Function Kernel, Polynomial Kernel), K-Nearest Neighbors, Classification and Regression Trees, Conditional Inference Trees, C5.0 Decision Trees, Random Forest and Bagged Trees algorithms. The resulting predictions derived from the candidate models were evaluated in terms of their discrimination power using the area under the receiver operating characteristics curve (AUROC) metric. All results were consolidated in a Summary presented at the end of the document.
Binary classification learning refers to a predictive modelling problem where only two class labels are predicted for a given sample of input data. These models use the training data set and calculate how to best map instances of input data to the specific class labels. Typically, binary classification tasks involve one class that is the normal state (assigned the class label 0) and another class that is the abnormal state (assigned the class label 1). It is common to structure a binary classification task with a model that predicts a Bernoulli probability distribution for each instance. The Bernoulli distribution is a discrete probability distribution that covers a case where an event will have a binary outcome as either a 0 or 1. For a binary classification, this means that the model predicts a probability of an instance belonging to class 1, or the abnormal state. The algorithms applied in this study (mostly contained in the caret package) attempt to categorize the input data and form dichotomous groups based on their similarities.
1.1 Sample Data
The Solubility dataset from the AppliedPredictiveModeling package was used for this illustrated example. The original numeric response was transformed to simulate a dichotomous categorical variable.
Preliminary dataset assessment:
[A] 1267 rows (observations)
[A.1] Train Set = 951 observations
[A.2] Test Set = 316 observations
[B] 229 columns (variables)
[B.1] 1/229 response = Log_Solubility_Class variable (factor)
[B.1.1] Levels = Log_Solubility_Class=Low < Log_Solubility_Class=High
[B.2] 228/229 predictors = All remaining variables (208/228 factor + 20/228 numeric)
Code Chunk | Output
##################################
# Loading R libraries
##################################
library(AppliedPredictiveModeling)
library(caret)
library(rpart)
library(lattice)
library(dplyr)
library(tidyr)
library(moments)
library(skimr)
library(RANN)
library(pls)
library(corrplot)
library(tidyverse)
library(lares)
library(DMwR2)
library(gridExtra)
library(rattle)
library(rpart.plot)
library(RColorBrewer)
library(stats)
library(nnet)
library(elasticnet)
library(earth)
library(party)
library(kernlab)
library(randomForest)
library(Cubist)
library(pROC)
library(mda)
library(klaR)
library(pamr)
library(C50)
##################################
# Loading source and
# formulating the train set
##################################
data(solubility)
Solubility_Train <- as.data.frame(cbind(solTrainY,solTrainX))
Solubility_Test <- as.data.frame(cbind(solTestY,solTestX))
##################################
# Applying dichotomization and
# defining the response variable
##################################
Solubility_Train$Log_Solubility_Class <- ifelse(Solubility_Train$solTrainY<mean(Solubility_Train$solTrainY),
"Low","High")
Solubility_Train$Log_Solubility_Class <- factor(Solubility_Train$Log_Solubility_Class,
levels = c("Low","High"))
Solubility_Test$Log_Solubility_Class <- ifelse(Solubility_Test$solTestY<mean(Solubility_Train$solTrainY),
"Low","High")
Solubility_Test$Log_Solubility_Class <- factor(Solubility_Test$Log_Solubility_Class,
levels = c("Low","High"))
Solubility_Train$solTrainY <- NULL
Solubility_Test$solTestY <- NULL
##################################
# Performing a general exploration of the train set
##################################
dim(Solubility_Train)## [1] 951 229str(Solubility_Train)## 'data.frame': 951 obs. of 229 variables:
## $ FP001 : int 0 0 1 0 0 1 0 1 1 1 ...
## $ FP002 : int 1 1 1 0 0 0 1 0 0 1 ...
## $ FP003 : int 0 0 1 1 1 1 0 1 1 1 ...
## $ FP004 : int 0 1 1 0 1 1 1 1 1 1 ...
## $ FP005 : int 1 1 1 0 1 0 1 0 0 1 ...
## $ FP006 : int 0 1 0 0 1 0 0 0 1 1 ...
## $ FP007 : int 0 1 0 1 0 0 0 1 1 1 ...
## $ FP008 : int 1 1 1 0 0 0 1 0 0 0 ...
## $ FP009 : int 0 0 0 0 1 1 1 0 1 0 ...
## $ FP010 : int 0 0 1 0 0 0 0 0 0 0 ...
## $ FP011 : int 0 1 0 0 0 0 0 0 1 0 ...
## $ FP012 : int 0 0 0 0 0 1 0 1 0 0 ...
## $ FP013 : int 0 0 0 0 1 0 1 0 0 0 ...
## $ FP014 : int 0 0 0 0 0 0 1 0 0 0 ...
## $ FP015 : int 1 1 1 1 1 1 1 1 1 1 ...
## $ FP016 : int 0 1 0 0 1 1 0 1 0 0 ...
## $ FP017 : int 0 0 1 1 0 0 0 0 1 1 ...
## $ FP018 : int 0 1 0 0 0 0 0 0 0 0 ...
## $ FP019 : int 1 0 0 0 1 0 1 0 0 0 ...
## $ FP020 : int 0 0 0 0 0 0 0 0 0 0 ...
## $ FP021 : int 0 0 0 0 0 1 0 0 1 0 ...
## $ FP022 : int 0 0 0 0 0 0 0 0 0 1 ...
## $ FP023 : int 0 0 0 1 0 0 0 0 1 0 ...
## $ FP024 : int 1 0 0 0 1 0 0 0 0 0 ...
## $ FP025 : int 0 0 1 0 0 0 0 0 0 0 ...
## $ FP026 : int 1 0 0 0 0 0 1 0 0 0 ...
## $ FP027 : int 0 0 0 0 0 0 0 0 0 1 ...
## $ FP028 : int 0 1 0 0 0 0 0 0 1 1 ...
## $ FP029 : int 0 0 0 0 0 0 0 0 0 0 ...
## $ FP030 : int 0 0 0 0 1 0 0 0 0 0 ...
## $ FP031 : int 0 0 0 0 0 0 0 1 0 0 ...
## $ FP032 : int 0 0 0 0 0 0 0 0 0 0 ...
## $ FP033 : int 0 0 0 0 0 0 0 0 0 0 ...
## $ FP034 : int 0 0 0 0 1 0 0 0 0 1 ...
## $ FP035 : int 0 0 0 0 0 0 0 0 1 0 ...
## $ FP036 : int 0 0 0 0 0 0 0 0 0 0 ...
## $ FP037 : int 0 0 0 0 0 0 0 0 1 0 ...
## $ FP038 : int 0 0 1 0 0 0 0 0 0 0 ...
## $ FP039 : int 1 0 0 0 0 0 0 0 0 0 ...
## $ FP040 : int 1 0 0 0 0 0 0 0 0 0 ...
## $ FP041 : int 0 0 0 1 0 0 0 0 1 0 ...
## $ FP042 : int 0 0 0 0 0 0 0 0 0 0 ...
## $ FP043 : int 0 1 0 0 0 0 0 0 0 0 ...
## $ FP044 : int 0 0 0 0 0 0 0 0 0 0 ...
## $ FP045 : int 0 0 1 0 0 0 0 0 0 0 ...
## $ FP046 : int 0 1 0 0 0 0 1 0 0 1 ...
## $ FP047 : int 0 1 1 0 0 0 1 0 0 0 ...
## $ FP048 : int 0 0 0 0 0 0 0 1 0 0 ...
## $ FP049 : int 0 0 0 0 0 0 1 0 0 0 ...
## $ FP050 : int 0 0 0 0 0 0 0 1 0 1 ...
## $ FP051 : int 0 1 0 0 0 0 0 0 0 0 ...
## $ FP052 : int 0 0 0 0 0 0 0 0 0 1 ...
## $ FP053 : int 0 0 0 0 0 0 1 0 0 0 ...
## $ FP054 : int 0 0 0 1 0 0 0 0 1 1 ...
## $ FP055 : int 0 0 0 0 0 0 0 0 0 0 ...
## $ FP056 : int 1 0 0 0 0 0 0 0 0 0 ...
## $ FP057 : int 0 0 0 0 0 0 1 0 0 0 ...
## $ FP058 : int 0 0 0 0 0 0 0 0 0 1 ...
## $ FP059 : int 0 0 0 0 0 0 0 1 0 0 ...
## $ FP060 : int 0 1 1 0 0 0 0 1 1 0 ...
## $ FP061 : int 0 0 1 0 0 0 0 1 1 0 ...
## $ FP062 : int 0 0 1 0 0 1 0 1 1 1 ...
## $ FP063 : int 1 1 0 0 1 1 1 0 0 1 ...
## $ FP064 : int 0 1 1 0 1 1 0 1 0 0 ...
## $ FP065 : int 1 1 0 0 1 0 1 0 1 1 ...
## $ FP066 : int 1 0 1 1 1 1 1 1 1 1 ...
## $ FP067 : int 1 1 0 0 1 1 1 0 0 1 ...
## $ FP068 : int 0 1 0 0 1 1 1 0 0 1 ...
## $ FP069 : int 1 0 1 1 1 1 0 1 1 0 ...
## $ FP070 : int 1 1 0 1 0 0 1 0 1 0 ...
## $ FP071 : int 0 0 0 0 0 0 1 0 1 1 ...
## $ FP072 : int 0 1 1 0 0 1 0 1 1 1 ...
## $ FP073 : int 0 1 1 0 0 0 0 0 1 0 ...
## $ FP074 : int 0 1 0 0 0 0 0 0 1 0 ...
## $ FP075 : int 0 1 0 0 1 1 1 0 0 1 ...
## $ FP076 : int 1 1 0 0 0 0 1 0 1 1 ...
## $ FP077 : int 0 1 0 1 0 0 0 1 1 1 ...
## $ FP078 : int 0 1 0 0 0 0 0 0 1 0 ...
## $ FP079 : int 1 1 1 1 1 0 1 0 1 1 ...
## $ FP080 : int 0 1 0 0 1 1 1 1 0 0 ...
## $ FP081 : int 0 0 1 1 0 0 0 1 1 1 ...
## $ FP082 : int 1 1 1 0 1 1 1 0 1 1 ...
## $ FP083 : int 0 0 0 0 1 0 0 0 0 1 ...
## $ FP084 : int 1 1 0 0 1 0 1 0 0 0 ...
## $ FP085 : int 0 1 0 0 0 0 1 0 0 0 ...
## $ FP086 : int 0 0 0 1 1 0 0 1 1 1 ...
## $ FP087 : int 1 1 1 1 1 0 1 0 1 1 ...
## $ FP088 : int 0 1 0 0 0 0 0 1 1 0 ...
## $ FP089 : int 1 1 0 0 0 0 1 0 0 0 ...
## $ FP090 : int 0 1 0 1 0 0 0 1 1 1 ...
## $ FP091 : int 1 1 0 0 1 0 1 0 0 1 ...
## $ FP092 : int 0 0 0 0 1 1 1 0 1 0 ...
## $ FP093 : int 0 1 0 1 0 0 0 1 1 1 ...
## $ FP094 : int 0 0 0 0 1 0 0 1 0 0 ...
## $ FP095 : int 0 0 0 0 0 0 0 0 1 1 ...
## $ FP096 : int 0 0 0 0 0 0 0 0 1 0 ...
## $ FP097 : int 1 1 0 0 0 0 1 0 1 0 ...
## $ FP098 : int 0 0 1 0 0 0 0 1 0 0 ...
## $ FP099 : int 0 0 0 0 0 0 0 0 1 0 ...
## [list output truncated]summary(Solubility_Train)## FP001 FP002 FP003 FP004
## Min. :0.0000 Min. :0.0000 Min. :0.0000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000
## Median :0.0000 Median :1.0000 Median :0.0000 Median :1.0000
## Mean :0.4932 Mean :0.5394 Mean :0.4364 Mean :0.5846
## 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:1.0000
## Max. :1.0000 Max. :1.0000 Max. :1.0000 Max. :1.0000
## FP005 FP006 FP007 FP008
## Min. :0.0000 Min. :0.0000 Min. :0.0000 Min. :0.000
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.000
## Median :1.0000 Median :0.0000 Median :0.0000 Median :0.000
## Mean :0.5794 Mean :0.4006 Mean :0.3638 Mean :0.326
## 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:1.000
## Max. :1.0000 Max. :1.0000 Max. :1.0000 Max. :1.000
## FP009 FP010 FP011 FP012
## Min. :0.0000 Min. :0.0000 Min. :0.0000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000
## Median :0.0000 Median :0.0000 Median :0.0000 Median :0.0000
## Mean :0.2797 Mean :0.1788 Mean :0.2145 Mean :0.1767
## 3rd Qu.:1.0000 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:0.0000
## Max. :1.0000 Max. :1.0000 Max. :1.0000 Max. :1.0000
## FP013 FP014 FP015 FP016
## Min. :0.0000 Min. :0.0000 Min. :0.0000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:1.0000 1st Qu.:0.0000
## Median :0.0000 Median :0.0000 Median :1.0000 Median :0.0000
## Mean :0.1661 Mean :0.1609 Mean :0.8601 Mean :0.1462
## 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:1.0000 3rd Qu.:0.0000
## Max. :1.0000 Max. :1.0000 Max. :1.0000 Max. :1.0000
## FP017 FP018 FP019 FP020
## Min. :0.0000 Min. :0.0000 Min. :0.000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.000 1st Qu.:0.0000
## Median :0.0000 Median :0.0000 Median :0.000 Median :0.0000
## Mean :0.1441 Mean :0.1314 Mean :0.122 Mean :0.1199
## 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:0.000 3rd Qu.:0.0000
## Max. :1.0000 Max. :1.0000 Max. :1.000 Max. :1.0000
## FP021 FP022 FP023 FP024
## Min. :0.0000 Min. :0.0000 Min. :0.000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.000 1st Qu.:0.0000
## Median :0.0000 Median :0.0000 Median :0.000 Median :0.0000
## Mean :0.1209 Mean :0.1041 Mean :0.123 Mean :0.1125
## 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:0.000 3rd Qu.:0.0000
## Max. :1.0000 Max. :1.0000 Max. :1.000 Max. :1.0000
## FP025 FP026 FP027 FP028
## Min. :0.0000 Min. :0.00000 Min. :0.00000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.00000 1st Qu.:0.00000 1st Qu.:0.0000
## Median :0.0000 Median :0.00000 Median :0.00000 Median :0.0000
## Mean :0.1157 Mean :0.08412 Mean :0.09779 Mean :0.1062
## 3rd Qu.:0.0000 3rd Qu.:0.00000 3rd Qu.:0.00000 3rd Qu.:0.0000
## Max. :1.0000 Max. :1.00000 Max. :1.00000 Max. :1.0000
## FP029 FP030 FP031 FP032
## Min. :0.000 Min. :0.00000 Min. :0.00000 Min. :0.00000
## 1st Qu.:0.000 1st Qu.:0.00000 1st Qu.:0.00000 1st Qu.:0.00000
## Median :0.000 Median :0.00000 Median :0.00000 Median :0.00000
## Mean :0.102 Mean :0.09359 Mean :0.08938 Mean :0.07361
## 3rd Qu.:0.000 3rd Qu.:0.00000 3rd Qu.:0.00000 3rd Qu.:0.00000
## Max. :1.000 Max. :1.00000 Max. :1.00000 Max. :1.00000
## FP033 FP034 FP035 FP036
## Min. :0.0000 Min. :0.00000 Min. :0.00000 Min. :0.00000
## 1st Qu.:0.0000 1st Qu.:0.00000 1st Qu.:0.00000 1st Qu.:0.00000
## Median :0.0000 Median :0.00000 Median :0.00000 Median :0.00000
## Mean :0.0694 Mean :0.07992 Mean :0.07256 Mean :0.07571
## 3rd Qu.:0.0000 3rd Qu.:0.00000 3rd Qu.:0.00000 3rd Qu.:0.00000
## Max. :1.0000 Max. :1.00000 Max. :1.00000 Max. :1.00000
## FP037 FP038 FP039 FP040
## Min. :0.00000 Min. :0.00000 Min. :0.00000 Min. :0.00000
## 1st Qu.:0.00000 1st Qu.:0.00000 1st Qu.:0.00000 1st Qu.:0.00000
## Median :0.00000 Median :0.00000 Median :0.00000 Median :0.00000
## Mean :0.07045 Mean :0.08622 Mean :0.07466 Mean :0.06835
## 3rd Qu.:0.00000 3rd Qu.:0.00000 3rd Qu.:0.00000 3rd Qu.:0.00000
## Max. :1.00000 Max. :1.00000 Max. :1.00000 Max. :1.00000
## FP041 FP042 FP043 FP044
## Min. :0.00000 Min. :0.00000 Min. :0.00000 Min. :0.00000
## 1st Qu.:0.00000 1st Qu.:0.00000 1st Qu.:0.00000 1st Qu.:0.00000
## Median :0.00000 Median :0.00000 Median :0.00000 Median :0.00000
## Mean :0.06309 Mean :0.05678 Mean :0.06625 Mean :0.05994
## 3rd Qu.:0.00000 3rd Qu.:0.00000 3rd Qu.:0.00000 3rd Qu.:0.00000
## Max. :1.00000 Max. :1.00000 Max. :1.00000 Max. :1.00000
## FP045 FP046 FP047 FP048
## Min. :0.00000 Min. :0.0000 Min. :0.000 Min. :0.0000
## 1st Qu.:0.00000 1st Qu.:0.0000 1st Qu.:0.000 1st Qu.:0.0000
## Median :0.00000 Median :0.0000 Median :0.000 Median :0.0000
## Mean :0.05573 Mean :0.3155 Mean :0.266 Mean :0.1241
## 3rd Qu.:0.00000 3rd Qu.:1.0000 3rd Qu.:1.000 3rd Qu.:0.0000
## Max. :1.00000 Max. :1.0000 Max. :1.000 Max. :1.0000
## FP049 FP050 FP051 FP052
## Min. :0.000 Min. :0.0000 Min. :0.0000 Min. :0.00000
## 1st Qu.:0.000 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.00000
## Median :0.000 Median :0.0000 Median :0.0000 Median :0.00000
## Mean :0.122 Mean :0.1125 Mean :0.1094 Mean :0.09148
## 3rd Qu.:0.000 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:0.00000
## Max. :1.000 Max. :1.0000 Max. :1.0000 Max. :1.00000
## FP053 FP054 FP055 FP056
## Min. :0.00000 Min. :0.00000 Min. :0.00000 Min. :0.00000
## 1st Qu.:0.00000 1st Qu.:0.00000 1st Qu.:0.00000 1st Qu.:0.00000
## Median :0.00000 Median :0.00000 Median :0.00000 Median :0.00000
## Mean :0.09359 Mean :0.07571 Mean :0.05363 Mean :0.06519
## 3rd Qu.:0.00000 3rd Qu.:0.00000 3rd Qu.:0.00000 3rd Qu.:0.00000
## Max. :1.00000 Max. :1.00000 Max. :1.00000 Max. :1.00000
## FP057 FP058 FP059 FP060
## Min. :0.0000 Min. :0.0000 Min. :0.00000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.00000 1st Qu.:0.0000
## Median :0.0000 Median :0.0000 Median :0.00000 Median :0.0000
## Mean :0.1199 Mean :0.1136 Mean :0.05468 Mean :0.4816
## 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:0.00000 3rd Qu.:1.0000
## Max. :1.0000 Max. :1.0000 Max. :1.00000 Max. :1.0000
## FP061 FP062 FP063 FP064
## Min. :0.0000 Min. :0.0000 Min. :0.0000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000
## Median :0.0000 Median :0.0000 Median :0.0000 Median :0.0000
## Mean :0.4469 Mean :0.4374 Mean :0.4259 Mean :0.4164
## 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:1.0000
## Max. :1.0000 Max. :1.0000 Max. :1.0000 Max. :1.0000
## FP065 FP066 FP067 FP068
## Min. :0.0000 Min. :0.0000 Min. :0.0000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000
## Median :1.0000 Median :1.0000 Median :0.0000 Median :0.0000
## Mean :0.5931 Mean :0.6099 Mean :0.3796 Mean :0.3617
## 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:1.0000
## Max. :1.0000 Max. :1.0000 Max. :1.0000 Max. :1.0000
## FP069 FP070 FP071 FP072
## Min. :0.0000 Min. :0.0000 Min. :0.000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.000 1st Qu.:0.0000
## Median :0.0000 Median :0.0000 Median :0.000 Median :1.0000
## Mean :0.3617 Mean :0.3554 Mean :0.327 Mean :0.6583
## 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:1.000 3rd Qu.:1.0000
## Max. :1.0000 Max. :1.0000 Max. :1.000 Max. :1.0000
## FP073 FP074 FP075 FP076
## Min. :0.0000 Min. :0.0000 Min. :0.0000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000
## Median :0.0000 Median :0.0000 Median :0.0000 Median :0.0000
## Mean :0.3102 Mean :0.3249 Mean :0.3386 Mean :0.3281
## 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:1.0000
## Max. :1.0000 Max. :1.0000 Max. :1.0000 Max. :1.0000
## FP077 FP078 FP079 FP080
## Min. :0.0000 Min. :0.0000 Min. :0.0000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000
## Median :0.0000 Median :0.0000 Median :1.0000 Median :0.0000
## Mean :0.3207 Mean :0.3039 Mean :0.6898 Mean :0.3028
## 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:1.0000
## Max. :1.0000 Max. :1.0000 Max. :1.0000 Max. :1.0000
## FP081 FP082 FP083 FP084
## Min. :0.0000 Min. :0.000 Min. :0.0000 Min. :0.000
## 1st Qu.:0.0000 1st Qu.:0.000 1st Qu.:0.0000 1st Qu.:0.000
## Median :0.0000 Median :1.000 Median :0.0000 Median :0.000
## Mean :0.2787 Mean :0.714 Mean :0.2734 Mean :0.286
## 3rd Qu.:1.0000 3rd Qu.:1.000 3rd Qu.:1.0000 3rd Qu.:1.000
## Max. :1.0000 Max. :1.000 Max. :1.0000 Max. :1.000
## FP085 FP086 FP087 FP088
## Min. :0.0000 Min. :0.0000 Min. :0.0000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000
## Median :0.0000 Median :0.0000 Median :1.0000 Median :0.0000
## Mean :0.2555 Mean :0.2692 Mean :0.7266 Mean :0.2629
## 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:1.0000
## Max. :1.0000 Max. :1.0000 Max. :1.0000 Max. :1.0000
## FP089 FP090 FP091 FP092
## Min. :0.0000 Min. :0.0000 Min. :0.000 Min. :0.000
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.000 1st Qu.:0.000
## Median :0.0000 Median :0.0000 Median :0.000 Median :0.000
## Mean :0.2471 Mean :0.2492 Mean :0.225 Mean :0.244
## 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:0.000 3rd Qu.:0.000
## Max. :1.0000 Max. :1.0000 Max. :1.000 Max. :1.000
## FP093 FP094 FP095 FP096
## Min. :0.000 Min. :0.0000 Min. :0.0000 Min. :0.0000
## 1st Qu.:0.000 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000
## Median :0.000 Median :0.0000 Median :0.0000 Median :0.0000
## Mean :0.244 Mean :0.2313 Mean :0.2198 Mean :0.2177
## 3rd Qu.:0.000 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:0.0000
## Max. :1.000 Max. :1.0000 Max. :1.0000 Max. :1.0000
## FP097 FP098 FP099 FP100
## Min. :0.0000 Min. :0.0000 Min. :0.0000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000
## Median :0.0000 Median :0.0000 Median :0.0000 Median :0.0000
## Mean :0.2355 Mean :0.2376 Mean :0.2271 Mean :0.2313
## 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:0.0000
## Max. :1.0000 Max. :1.0000 Max. :1.0000 Max. :1.0000
## FP101 FP102 FP103 FP104
## Min. :0.0000 Min. :0.0000 Min. :0.0000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000
## Median :0.0000 Median :0.0000 Median :0.0000 Median :0.0000
## Mean :0.2366 Mean :0.2019 Mean :0.2187 Mean :0.2229
## 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:0.0000
## Max. :1.0000 Max. :1.0000 Max. :1.0000 Max. :1.0000
## FP105 FP106 FP107 FP108
## Min. :0.0000 Min. :0.0000 Min. :0.0000 Min. :0.000
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.000
## Median :0.0000 Median :0.0000 Median :0.0000 Median :0.000
## Mean :0.2156 Mean :0.1914 Mean :0.2114 Mean :0.205
## 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:0.000
## Max. :1.0000 Max. :1.0000 Max. :1.0000 Max. :1.000
## FP109 FP110 FP111 FP112
## Min. :0.0000 Min. :0.0000 Min. :0.0000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000
## Median :0.0000 Median :0.0000 Median :0.0000 Median :0.0000
## Mean :0.1767 Mean :0.2061 Mean :0.1966 Mean :0.1945
## 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:0.0000
## Max. :1.0000 Max. :1.0000 Max. :1.0000 Max. :1.0000
## FP113 FP114 FP115 FP116
## Min. :0.0000 Min. :0.0000 Min. :0.0000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000
## Median :0.0000 Median :0.0000 Median :0.0000 Median :0.0000
## Mean :0.1956 Mean :0.1556 Mean :0.1788 Mean :0.1924
## 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:0.0000
## Max. :1.0000 Max. :1.0000 Max. :1.0000 Max. :1.0000
## FP117 FP118 FP119 FP120
## Min. :0.0000 Min. :0.0000 Min. :0.000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.000 1st Qu.:0.0000
## Median :0.0000 Median :0.0000 Median :0.000 Median :0.0000
## Mean :0.1788 Mean :0.1924 Mean :0.163 Mean :0.1661
## 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:0.000 3rd Qu.:0.0000
## Max. :1.0000 Max. :1.0000 Max. :1.000 Max. :1.0000
## FP121 FP122 FP123 FP124
## Min. :0.0000 Min. :0.000 Min. :0.0000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.000 1st Qu.:0.0000 1st Qu.:0.0000
## Median :0.0000 Median :0.000 Median :0.0000 Median :0.0000
## Mean :0.1399 Mean :0.164 Mean :0.1672 Mean :0.1619
## 3rd Qu.:0.0000 3rd Qu.:0.000 3rd Qu.:0.0000 3rd Qu.:0.0000
## Max. :1.0000 Max. :1.000 Max. :1.0000 Max. :1.0000
## FP125 FP126 FP127 FP128
## Min. :0.0000 Min. :0.0000 Min. :0.0000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000
## Median :0.0000 Median :0.0000 Median :0.0000 Median :0.0000
## Mean :0.1556 Mean :0.1483 Mean :0.1399 Mean :0.1483
## 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:0.0000
## Max. :1.0000 Max. :1.0000 Max. :1.0000 Max. :1.0000
## FP129 FP130 FP131 FP132
## Min. :0.0000 Min. :0.0000 Min. :0.0000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000
## Median :0.0000 Median :0.0000 Median :0.0000 Median :0.0000
## Mean :0.1388 Mean :0.1052 Mean :0.1262 Mean :0.1251
## 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:0.0000
## Max. :1.0000 Max. :1.0000 Max. :1.0000 Max. :1.0000
## FP133 FP134 FP135 FP136
## Min. :0.0000 Min. :0.0000 Min. :0.0000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000
## Median :0.0000 Median :0.0000 Median :0.0000 Median :0.0000
## Mean :0.1262 Mean :0.1272 Mean :0.1262 Mean :0.1209
## 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:0.0000
## Max. :1.0000 Max. :1.0000 Max. :1.0000 Max. :1.0000
## FP137 FP138 FP139 FP140
## Min. :0.0000 Min. :0.0000 Min. :0.00000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.00000 1st Qu.:0.0000
## Median :0.0000 Median :0.0000 Median :0.00000 Median :0.0000
## Mean :0.1157 Mean :0.1115 Mean :0.08202 Mean :0.1115
## 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:0.00000 3rd Qu.:0.0000
## Max. :1.0000 Max. :1.0000 Max. :1.00000 Max. :1.0000
## FP141 FP142 FP143 FP144
## Min. :0.0000 Min. :0.0000 Min. :0.00000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.00000 1st Qu.:0.0000
## Median :0.0000 Median :0.0000 Median :0.00000 Median :0.0000
## Mean :0.1167 Mean :0.1094 Mean :0.08097 Mean :0.1041
## 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:0.00000 3rd Qu.:0.0000
## Max. :1.0000 Max. :1.0000 Max. :1.00000 Max. :1.0000
## FP145 FP146 FP147 FP148
## Min. :0.0000 Min. :0.000 Min. :0.0000 Min. :0.00000
## 1st Qu.:0.0000 1st Qu.:0.000 1st Qu.:0.0000 1st Qu.:0.00000
## Median :0.0000 Median :0.000 Median :0.0000 Median :0.00000
## Mean :0.1041 Mean :0.103 Mean :0.1052 Mean :0.08728
## 3rd Qu.:0.0000 3rd Qu.:0.000 3rd Qu.:0.0000 3rd Qu.:0.00000
## Max. :1.0000 Max. :1.000 Max. :1.0000 Max. :1.00000
## FP149 FP150 FP151 FP152
## Min. :0.00000 Min. :0.00000 Min. :0.00000 Min. :0.00000
## 1st Qu.:0.00000 1st Qu.:0.00000 1st Qu.:0.00000 1st Qu.:0.00000
## Median :0.00000 Median :0.00000 Median :0.00000 Median :0.00000
## Mean :0.09043 Mean :0.07886 Mean :0.05573 Mean :0.08202
## 3rd Qu.:0.00000 3rd Qu.:0.00000 3rd Qu.:0.00000 3rd Qu.:0.00000
## Max. :1.00000 Max. :1.00000 Max. :1.00000 Max. :1.00000
## FP153 FP154 FP155 FP156
## Min. :0.00000 Min. :0.00000 Min. :0.0000 Min. :0.00000
## 1st Qu.:0.00000 1st Qu.:0.00000 1st Qu.:0.0000 1st Qu.:0.00000
## Median :0.00000 Median :0.00000 Median :0.0000 Median :0.00000
## Mean :0.07781 Mean :0.03785 Mean :0.0694 Mean :0.07045
## 3rd Qu.:0.00000 3rd Qu.:0.00000 3rd Qu.:0.0000 3rd Qu.:0.00000
## Max. :1.00000 Max. :1.00000 Max. :1.0000 Max. :1.00000
## FP157 FP158 FP159 FP160
## Min. :0.00000 Min. :0.00000 Min. :0.00000 Min. :0.00000
## 1st Qu.:0.00000 1st Qu.:0.00000 1st Qu.:0.00000 1st Qu.:0.00000
## Median :0.00000 Median :0.00000 Median :0.00000 Median :0.00000
## Mean :0.06204 Mean :0.05363 Mean :0.07045 Mean :0.06835
## 3rd Qu.:0.00000 3rd Qu.:0.00000 3rd Qu.:0.00000 3rd Qu.:0.00000
## Max. :1.00000 Max. :1.00000 Max. :1.00000 Max. :1.00000
## FP161 FP162 FP163 FP164
## Min. :0.00000 Min. :0.0000 Min. :0.0000 Min. :0.0000
## 1st Qu.:0.00000 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000
## Median :0.00000 Median :0.0000 Median :0.0000 Median :1.0000
## Mean :0.06625 Mean :0.4953 Mean :0.4763 Mean :0.6278
## 3rd Qu.:0.00000 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:1.0000
## Max. :1.00000 Max. :1.0000 Max. :1.0000 Max. :1.0000
## FP165 FP166 FP167 FP168
## Min. :0.0000 Min. :0.0000 Min. :0.0000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000
## Median :0.0000 Median :0.0000 Median :0.0000 Median :1.0000
## Mean :0.3491 Mean :0.3312 Mean :0.3281 Mean :0.6656
## 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:1.0000
## Max. :1.0000 Max. :1.0000 Max. :1.0000 Max. :1.0000
## FP169 FP170 FP171 FP172
## Min. :0.0000 Min. :0.000 Min. :0.0000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.000 1st Qu.:0.0000 1st Qu.:0.0000
## Median :0.0000 Median :0.000 Median :0.0000 Median :0.0000
## Mean :0.1861 Mean :0.184 Mean :0.1693 Mean :0.1514
## 3rd Qu.:0.0000 3rd Qu.:0.000 3rd Qu.:0.0000 3rd Qu.:0.0000
## Max. :1.0000 Max. :1.000 Max. :1.0000 Max. :1.0000
## FP173 FP174 FP175 FP176
## Min. :0.000 Min. :0.0000 Min. :0.0000 Min. :0.000
## 1st Qu.:0.000 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.000
## Median :0.000 Median :0.0000 Median :0.0000 Median :0.000
## Mean :0.142 Mean :0.1304 Mean :0.1346 Mean :0.122
## 3rd Qu.:0.000 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:0.000
## Max. :1.000 Max. :1.0000 Max. :1.0000 Max. :1.000
## FP177 FP178 FP179 FP180
## Min. :0.0000 Min. :0.0000 Min. :0.00000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.00000 1st Qu.:0.0000
## Median :0.0000 Median :0.0000 Median :0.00000 Median :0.0000
## Mean :0.1209 Mean :0.1209 Mean :0.09779 Mean :0.1073
## 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:0.00000 3rd Qu.:0.0000
## Max. :1.0000 Max. :1.0000 Max. :1.00000 Max. :1.0000
## FP181 FP182 FP183 FP184
## Min. :0.00000 Min. :0.00000 Min. :0.00000 Min. :0.00000
## 1st Qu.:0.00000 1st Qu.:0.00000 1st Qu.:0.00000 1st Qu.:0.00000
## Median :0.00000 Median :0.00000 Median :0.00000 Median :0.00000
## Mean :0.09359 Mean :0.09884 Mean :0.07571 Mean :0.08412
## 3rd Qu.:0.00000 3rd Qu.:0.00000 3rd Qu.:0.00000 3rd Qu.:0.00000
## Max. :1.00000 Max. :1.00000 Max. :1.00000 Max. :1.00000
## FP185 FP186 FP187 FP188
## Min. :0.00000 Min. :0.00000 Min. :0.00000 Min. :0.00000
## 1st Qu.:0.00000 1st Qu.:0.00000 1st Qu.:0.00000 1st Qu.:0.00000
## Median :0.00000 Median :0.00000 Median :0.00000 Median :0.00000
## Mean :0.08517 Mean :0.07676 Mean :0.07256 Mean :0.06835
## 3rd Qu.:0.00000 3rd Qu.:0.00000 3rd Qu.:0.00000 3rd Qu.:0.00000
## Max. :1.00000 Max. :1.00000 Max. :1.00000 Max. :1.00000
## FP189 FP190 FP191 FP192
## Min. :0.00000 Min. :0.00000 Min. :0.00000 Min. :0.00000
## 1st Qu.:0.00000 1st Qu.:0.00000 1st Qu.:0.00000 1st Qu.:0.00000
## Median :0.00000 Median :0.00000 Median :0.00000 Median :0.00000
## Mean :0.07676 Mean :0.07256 Mean :0.07045 Mean :0.06099
## 3rd Qu.:0.00000 3rd Qu.:0.00000 3rd Qu.:0.00000 3rd Qu.:0.00000
## Max. :1.00000 Max. :1.00000 Max. :1.00000 Max. :1.00000
## FP193 FP194 FP195 FP196
## Min. :0.00000 Min. :0.00000 Min. :0.00000 Min. :0.00000
## 1st Qu.:0.00000 1st Qu.:0.00000 1st Qu.:0.00000 1st Qu.:0.00000
## Median :0.00000 Median :0.00000 Median :0.00000 Median :0.00000
## Mean :0.06204 Mean :0.05889 Mean :0.06099 Mean :0.05678
## 3rd Qu.:0.00000 3rd Qu.:0.00000 3rd Qu.:0.00000 3rd Qu.:0.00000
## Max. :1.00000 Max. :1.00000 Max. :1.00000 Max. :1.00000
## FP197 FP198 FP199 FP200
## Min. :0.00000 Min. :0.00000 Min. :0.00000 Min. :0.00000
## 1st Qu.:0.00000 1st Qu.:0.00000 1st Qu.:0.00000 1st Qu.:0.00000
## Median :0.00000 Median :0.00000 Median :0.00000 Median :0.00000
## Mean :0.05258 Mean :0.05678 Mean :0.04732 Mean :0.04942
## 3rd Qu.:0.00000 3rd Qu.:0.00000 3rd Qu.:0.00000 3rd Qu.:0.00000
## Max. :1.00000 Max. :1.00000 Max. :1.00000 Max. :1.00000
## FP201 FP202 FP203 FP204
## Min. :0.00000 Min. :0.0000 Min. :0.0000 Min. :0.00000
## 1st Qu.:0.00000 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.00000
## Median :0.00000 Median :0.0000 Median :0.0000 Median :0.00000
## Mean :0.05258 Mean :0.2576 Mean :0.1146 Mean :0.09884
## 3rd Qu.:0.00000 3rd Qu.:1.0000 3rd Qu.:0.0000 3rd Qu.:0.00000
## Max. :1.00000 Max. :1.0000 Max. :1.0000 Max. :1.00000
## FP205 FP206 FP207 FP208
## Min. :0.00000 Min. :0.00000 Min. :0.00000 Min. :0.0000
## 1st Qu.:0.00000 1st Qu.:0.00000 1st Qu.:0.00000 1st Qu.:0.0000
## Median :0.00000 Median :0.00000 Median :0.00000 Median :0.0000
## Mean :0.07781 Mean :0.05994 Mean :0.05678 Mean :0.1125
## 3rd Qu.:0.00000 3rd Qu.:0.00000 3rd Qu.:0.00000 3rd Qu.:0.0000
## Max. :1.00000 Max. :1.00000 Max. :1.00000 Max. :1.0000
## MolWeight NumAtoms NumNonHAtoms NumBonds
## Min. : 46.09 Min. : 5.00 Min. : 2.00 Min. : 4.00
## 1st Qu.:122.61 1st Qu.:17.00 1st Qu.: 8.00 1st Qu.:17.00
## Median :179.23 Median :22.00 Median :12.00 Median :23.00
## Mean :201.65 Mean :25.51 Mean :13.16 Mean :25.91
## 3rd Qu.:264.34 3rd Qu.:31.00 3rd Qu.:17.00 3rd Qu.:31.50
## Max. :665.81 Max. :94.00 Max. :47.00 Max. :97.00
## NumNonHBonds NumMultBonds NumRotBonds NumDblBonds
## Min. : 1.00 Min. : 0.000 Min. : 0.000 Min. :0.000
## 1st Qu.: 8.00 1st Qu.: 1.000 1st Qu.: 0.000 1st Qu.:0.000
## Median :12.00 Median : 6.000 Median : 2.000 Median :1.000
## Mean :13.56 Mean : 6.148 Mean : 2.251 Mean :1.006
## 3rd Qu.:18.00 3rd Qu.:10.000 3rd Qu.: 3.500 3rd Qu.:2.000
## Max. :50.00 Max. :25.000 Max. :16.000 Max. :7.000
## NumAromaticBonds NumHydrogen NumCarbon NumNitrogen
## Min. : 0.000 Min. : 0.00 Min. : 1.000 Min. :0.0000
## 1st Qu.: 0.000 1st Qu.: 7.00 1st Qu.: 6.000 1st Qu.:0.0000
## Median : 6.000 Median :11.00 Median : 9.000 Median :0.0000
## Mean : 5.121 Mean :12.35 Mean : 9.893 Mean :0.8128
## 3rd Qu.: 6.000 3rd Qu.:16.00 3rd Qu.:12.000 3rd Qu.:1.0000
## Max. :25.000 Max. :47.00 Max. :33.000 Max. :6.0000
## NumOxygen NumSulfer NumChlorine NumHalogen
## Min. : 0.000 Min. :0.000 Min. : 0.0000 Min. : 0.0000
## 1st Qu.: 0.000 1st Qu.:0.000 1st Qu.: 0.0000 1st Qu.: 0.0000
## Median : 1.000 Median :0.000 Median : 0.0000 Median : 0.0000
## Mean : 1.574 Mean :0.164 Mean : 0.5563 Mean : 0.6982
## 3rd Qu.: 2.000 3rd Qu.:0.000 3rd Qu.: 0.0000 3rd Qu.: 1.0000
## Max. :13.000 Max. :4.000 Max. :10.0000 Max. :10.0000
## NumRings HydrophilicFactor SurfaceArea1 SurfaceArea2
## Min. :0.000 Min. :-0.98500 Min. : 0.00 Min. : 0.00
## 1st Qu.:0.000 1st Qu.:-0.76300 1st Qu.: 9.23 1st Qu.: 10.63
## Median :1.000 Median :-0.31400 Median : 29.10 Median : 33.12
## Mean :1.402 Mean :-0.02059 Mean : 36.46 Mean : 40.23
## 3rd Qu.:2.000 3rd Qu.: 0.31300 3rd Qu.: 53.28 3rd Qu.: 60.66
## Max. :7.000 Max. :13.48300 Max. :331.94 Max. :331.94
## Log_Solubility_Class
## Low :427
## High:524
##
##
##
## ##################################
# Performing a general exploration of the test set
##################################
dim(Solubility_Test)## [1] 316 229str(Solubility_Test)## 'data.frame': 316 obs. of 229 variables:
## $ FP001 : int 1 1 0 0 1 1 1 0 1 0 ...
## $ FP002 : int 0 0 1 0 1 0 0 0 0 1 ...
## $ FP003 : int 0 1 0 1 0 0 0 0 1 0 ...
## $ FP004 : int 1 1 0 0 1 1 1 1 1 0 ...
## $ FP005 : int 0 0 1 0 1 0 0 0 0 1 ...
## $ FP006 : int 0 1 0 1 1 0 0 0 0 0 ...
## $ FP007 : int 0 0 0 0 0 0 0 1 1 0 ...
## $ FP008 : int 0 0 0 0 1 0 0 0 0 0 ...
## $ FP009 : int 1 0 0 0 0 0 0 0 0 0 ...
## $ FP010 : int 1 0 1 0 0 0 0 0 0 0 ...
## $ FP011 : int 0 1 0 0 1 0 0 0 0 0 ...
## $ FP012 : int 0 1 0 0 0 1 0 1 0 0 ...
## $ FP013 : int 0 0 0 0 0 0 0 0 0 0 ...
## $ FP014 : int 0 0 0 0 0 0 0 0 0 0 ...
## $ FP015 : int 1 1 0 1 1 1 1 1 1 1 ...
## $ FP016 : int 0 1 0 0 0 0 0 1 0 0 ...
## $ FP017 : int 0 0 0 0 0 0 0 0 0 0 ...
## $ FP018 : int 0 0 0 0 0 0 0 0 0 0 ...
## $ FP019 : int 0 0 0 0 1 0 0 0 0 1 ...
## $ FP020 : int 0 0 0 0 0 1 0 0 0 0 ...
## $ FP021 : int 1 0 0 0 0 0 0 0 0 0 ...
## $ FP022 : int 0 0 0 0 0 0 0 0 0 0 ...
## $ FP023 : int 0 0 0 0 0 0 1 0 0 0 ...
## $ FP024 : int 0 0 0 0 1 0 0 0 0 1 ...
## $ FP025 : int 1 0 0 0 0 0 0 0 0 0 ...
## $ FP026 : int 0 0 0 0 0 0 0 0 0 1 ...
## $ FP027 : int 0 0 0 1 0 0 0 0 0 0 ...
## $ FP028 : int 0 0 0 1 0 0 0 0 0 0 ...
## $ FP029 : int 0 0 0 0 0 0 0 0 0 0 ...
## $ FP030 : int 0 0 0 1 0 0 0 0 0 0 ...
## $ FP031 : int 0 0 0 0 0 0 0 0 0 0 ...
## $ FP032 : int 0 0 1 0 0 0 0 0 0 0 ...
## $ FP033 : int 0 0 1 0 0 0 0 0 0 0 ...
## $ FP034 : int 0 0 0 0 0 0 0 0 0 0 ...
## $ FP035 : int 0 0 0 0 0 0 0 0 0 0 ...
## $ FP036 : int 0 0 0 0 0 0 0 0 0 0 ...
## $ FP037 : int 0 0 0 0 0 0 0 0 1 0 ...
## $ FP038 : int 1 0 0 0 0 0 0 0 0 0 ...
## $ FP039 : int 0 0 0 0 0 0 0 0 0 0 ...
## $ FP040 : int 0 0 0 0 1 0 0 0 0 0 ...
## $ FP041 : int 0 0 0 0 0 0 0 0 0 0 ...
## $ FP042 : int 0 0 0 0 0 0 0 0 0 0 ...
## $ FP043 : int 0 0 0 0 0 0 0 0 0 0 ...
## $ FP044 : int 0 0 0 0 0 0 0 0 0 0 ...
## $ FP045 : int 0 0 0 0 0 0 0 0 0 0 ...
## $ FP046 : int 0 0 1 0 0 0 0 0 0 1 ...
## $ FP047 : int 0 0 0 0 1 0 0 0 0 0 ...
## $ FP048 : int 0 0 0 0 0 0 0 0 0 0 ...
## $ FP049 : int 0 0 0 0 0 0 0 0 0 0 ...
## $ FP050 : int 0 0 0 0 0 0 0 0 0 0 ...
## $ FP051 : int 0 0 0 0 0 0 0 0 0 0 ...
## $ FP052 : int 0 0 0 0 0 0 0 0 0 0 ...
## $ FP053 : int 0 0 0 0 0 0 0 0 0 0 ...
## $ FP054 : int 0 0 0 0 0 0 0 0 0 0 ...
## $ FP055 : int 0 0 1 0 0 0 0 0 0 0 ...
## $ FP056 : int 0 0 0 0 0 0 0 0 0 0 ...
## $ FP057 : int 0 0 0 0 0 0 0 0 0 0 ...
## $ FP058 : int 0 0 0 0 0 0 0 0 0 0 ...
## $ FP059 : int 0 0 0 0 0 0 0 0 0 0 ...
## $ FP060 : int 1 1 1 0 0 1 0 1 0 0 ...
## $ FP061 : int 1 1 1 0 0 1 0 0 0 0 ...
## $ FP062 : int 1 1 0 0 1 1 1 0 1 0 ...
## $ FP063 : int 0 1 0 1 1 0 0 0 0 1 ...
## $ FP064 : int 1 1 0 0 0 0 0 0 1 0 ...
## $ FP065 : int 0 0 1 0 0 0 0 0 0 0 ...
## $ FP066 : int 0 1 0 1 0 1 0 0 1 1 ...
## $ FP067 : int 0 1 0 1 1 0 0 0 0 1 ...
## $ FP068 : int 0 1 0 1 1 0 0 0 0 0 ...
## $ FP069 : int 0 0 0 0 0 0 0 0 1 1 ...
## $ FP070 : int 0 0 0 0 0 0 0 0 0 0 ...
## $ FP071 : int 0 0 0 0 0 0 0 0 0 0 ...
## $ FP072 : int 1 1 1 0 1 1 1 1 1 0 ...
## $ FP073 : int 1 0 1 0 0 0 0 0 0 0 ...
## $ FP074 : int 0 0 1 0 0 0 0 0 1 0 ...
## $ FP075 : int 0 1 0 1 0 0 0 1 0 0 ...
## $ FP076 : int 0 0 0 0 0 0 0 0 0 0 ...
## $ FP077 : int 0 0 0 1 0 0 0 1 0 0 ...
## $ FP078 : int 0 0 1 0 0 0 0 0 0 0 ...
## $ FP079 : int 0 0 1 1 1 0 0 0 0 1 ...
## $ FP080 : int 1 1 0 1 0 0 0 1 0 0 ...
## $ FP081 : int 0 0 0 1 0 0 0 0 1 0 ...
## $ FP082 : int 0 0 1 0 1 0 0 0 0 1 ...
## $ FP083 : int 0 1 0 1 1 0 0 0 0 0 ...
## $ FP084 : int 0 0 0 1 1 0 0 1 0 1 ...
## $ FP085 : int 0 0 0 0 0 0 0 0 0 0 ...
## $ FP086 : int 0 0 0 1 0 0 0 0 0 0 ...
## $ FP087 : int 0 0 1 1 1 0 0 1 0 1 ...
## $ FP088 : int 1 0 0 0 0 0 0 1 1 0 ...
## $ FP089 : int 0 0 0 0 0 0 0 0 0 0 ...
## $ FP090 : int 0 0 0 1 0 0 0 1 0 0 ...
## $ FP091 : int 0 0 0 1 1 0 0 0 0 0 ...
## $ FP092 : int 0 0 0 0 0 0 0 0 0 0 ...
## $ FP093 : int 0 0 0 1 0 0 0 1 0 0 ...
## $ FP094 : int 0 1 0 0 0 0 0 0 1 0 ...
## $ FP095 : int 0 0 1 1 0 0 0 0 0 0 ...
## $ FP096 : int 0 0 0 0 0 0 0 0 0 0 ...
## $ FP097 : int 0 0 0 0 0 0 0 0 0 0 ...
## $ FP098 : int 1 1 0 0 0 1 0 0 0 0 ...
## $ FP099 : int 0 0 0 0 0 0 0 0 0 0 ...
## [list output truncated]summary(Solubility_Test)## FP001 FP002 FP003 FP004
## Min. :0.0000 Min. :0.0000 Min. :0.000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.000 1st Qu.:0.0000
## Median :0.0000 Median :1.0000 Median :0.000 Median :1.0000
## Mean :0.4684 Mean :0.5854 Mean :0.443 Mean :0.5316
## 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:1.000 3rd Qu.:1.0000
## Max. :1.0000 Max. :1.0000 Max. :1.000 Max. :1.0000
## FP005 FP006 FP007 FP008
## Min. :0.0000 Min. :0.0000 Min. :0.0000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000
## Median :1.0000 Median :0.0000 Median :0.0000 Median :0.0000
## Mean :0.6171 Mean :0.3513 Mean :0.3544 Mean :0.3608
## 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:1.0000
## Max. :1.0000 Max. :1.0000 Max. :1.0000 Max. :1.0000
## FP009 FP010 FP011 FP012
## Min. :0.0000 Min. :0.000 Min. :0.0000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.000 1st Qu.:0.0000 1st Qu.:0.0000
## Median :0.0000 Median :0.000 Median :0.0000 Median :0.0000
## Mean :0.2627 Mean :0.193 Mean :0.1741 Mean :0.1677
## 3rd Qu.:1.0000 3rd Qu.:0.000 3rd Qu.:0.0000 3rd Qu.:0.0000
## Max. :1.0000 Max. :1.000 Max. :1.0000 Max. :1.0000
## FP013 FP014 FP015 FP016
## Min. :0.0000 Min. :0.0000 Min. :0.0000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:1.0000 1st Qu.:0.0000
## Median :0.0000 Median :0.0000 Median :1.0000 Median :0.0000
## Mean :0.1646 Mean :0.1582 Mean :0.8291 Mean :0.1424
## 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:1.0000 3rd Qu.:0.0000
## Max. :1.0000 Max. :1.0000 Max. :1.0000 Max. :1.0000
## FP017 FP018 FP019 FP020
## Min. :0.0000 Min. :0.00000 Min. :0.0000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.00000 1st Qu.:0.0000 1st Qu.:0.0000
## Median :0.0000 Median :0.00000 Median :0.0000 Median :0.0000
## Mean :0.1487 Mean :0.08544 Mean :0.1139 Mean :0.1076
## 3rd Qu.:0.0000 3rd Qu.:0.00000 3rd Qu.:0.0000 3rd Qu.:0.0000
## Max. :1.0000 Max. :1.00000 Max. :1.0000 Max. :1.0000
## FP021 FP022 FP023 FP024
## Min. :0.0000 Min. :0.0000 Min. :0.00000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.00000 1st Qu.:0.0000
## Median :0.0000 Median :0.0000 Median :0.00000 Median :0.0000
## Mean :0.1076 Mean :0.1171 Mean :0.08544 Mean :0.0981
## 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:0.00000 3rd Qu.:0.0000
## Max. :1.0000 Max. :1.0000 Max. :1.00000 Max. :1.0000
## FP025 FP026 FP027 FP028
## Min. :0.00000 Min. :0.0000 Min. :0.00000 Min. :0.00000
## 1st Qu.:0.00000 1st Qu.:0.0000 1st Qu.:0.00000 1st Qu.:0.00000
## Median :0.00000 Median :0.0000 Median :0.00000 Median :0.00000
## Mean :0.07911 Mean :0.1171 Mean :0.07911 Mean :0.05696
## 3rd Qu.:0.00000 3rd Qu.:0.0000 3rd Qu.:0.00000 3rd Qu.:0.00000
## Max. :1.00000 Max. :1.0000 Max. :1.00000 Max. :1.00000
## FP029 FP030 FP031 FP032
## Min. :0.00000 Min. :0.00000 Min. :0.0000 Min. :0.0000
## 1st Qu.:0.00000 1st Qu.:0.00000 1st Qu.:0.0000 1st Qu.:0.0000
## Median :0.00000 Median :0.00000 Median :0.0000 Median :0.0000
## Mean :0.05063 Mean :0.08228 Mean :0.0981 Mean :0.1297
## 3rd Qu.:0.00000 3rd Qu.:0.00000 3rd Qu.:0.0000 3rd Qu.:0.0000
## Max. :1.00000 Max. :1.00000 Max. :1.0000 Max. :1.0000
## FP033 FP034 FP035 FP036
## Min. :0.0000 Min. :0.00000 Min. :0.0000 Min. :0.00000
## 1st Qu.:0.0000 1st Qu.:0.00000 1st Qu.:0.0000 1st Qu.:0.00000
## Median :0.0000 Median :0.00000 Median :0.0000 Median :0.00000
## Mean :0.1203 Mean :0.06646 Mean :0.0981 Mean :0.06013
## 3rd Qu.:0.0000 3rd Qu.:0.00000 3rd Qu.:0.0000 3rd Qu.:0.00000
## Max. :1.0000 Max. :1.00000 Max. :1.0000 Max. :1.00000
## FP037 FP038 FP039 FP040
## Min. :0.00000 Min. :0.00000 Min. :0.00000 Min. :0.00000
## 1st Qu.:0.00000 1st Qu.:0.00000 1st Qu.:0.00000 1st Qu.:0.00000
## Median :0.00000 Median :0.00000 Median :0.00000 Median :0.00000
## Mean :0.09494 Mean :0.03165 Mean :0.06329 Mean :0.05696
## 3rd Qu.:0.00000 3rd Qu.:0.00000 3rd Qu.:0.00000 3rd Qu.:0.00000
## Max. :1.00000 Max. :1.00000 Max. :1.00000 Max. :1.00000
## FP041 FP042 FP043 FP044
## Min. :0.00000 Min. :0.00000 Min. :0.0000 Min. :0.00000
## 1st Qu.:0.00000 1st Qu.:0.00000 1st Qu.:0.0000 1st Qu.:0.00000
## Median :0.00000 Median :0.00000 Median :0.0000 Median :0.00000
## Mean :0.06013 Mean :0.06013 Mean :0.0443 Mean :0.06013
## 3rd Qu.:0.00000 3rd Qu.:0.00000 3rd Qu.:0.0000 3rd Qu.:0.00000
## Max. :1.00000 Max. :1.00000 Max. :1.0000 Max. :1.00000
## FP045 FP046 FP047 FP048
## Min. :0.00000 Min. :0.0000 Min. :0.0000 Min. :0.0000
## 1st Qu.:0.00000 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000
## Median :0.00000 Median :0.0000 Median :0.0000 Median :0.0000
## Mean :0.06329 Mean :0.3259 Mean :0.2975 Mean :0.1139
## 3rd Qu.:0.00000 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:0.0000
## Max. :1.00000 Max. :1.0000 Max. :1.0000 Max. :1.0000
## FP049 FP050 FP051 FP052
## Min. :0.0000 Min. :0.0000 Min. :0.00000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.00000 1st Qu.:0.0000
## Median :0.0000 Median :0.0000 Median :0.00000 Median :0.0000
## Mean :0.1076 Mean :0.1139 Mean :0.05696 Mean :0.1044
## 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:0.00000 3rd Qu.:0.0000
## Max. :1.0000 Max. :1.0000 Max. :1.00000 Max. :1.0000
## FP053 FP054 FP055 FP056
## Min. :0.00000 Min. :0.0000 Min. :0.00000 Min. :0.00000
## 1st Qu.:0.00000 1st Qu.:0.0000 1st Qu.:0.00000 1st Qu.:0.00000
## Median :0.00000 Median :0.0000 Median :0.00000 Median :0.00000
## Mean :0.06013 Mean :0.0981 Mean :0.09177 Mean :0.06329
## 3rd Qu.:0.00000 3rd Qu.:0.0000 3rd Qu.:0.00000 3rd Qu.:0.00000
## Max. :1.00000 Max. :1.0000 Max. :1.00000 Max. :1.00000
## FP057 FP058 FP059 FP060
## Min. :0.0000 Min. :0.0000 Min. :0.0000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000
## Median :0.0000 Median :0.0000 Median :0.0000 Median :0.0000
## Mean :0.1234 Mean :0.1361 Mean :0.0443 Mean :0.4525
## 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:1.0000
## Max. :1.0000 Max. :1.0000 Max. :1.0000 Max. :1.0000
## FP061 FP062 FP063 FP064
## Min. :0.0000 Min. :0.0000 Min. :0.0000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000
## Median :0.0000 Median :0.0000 Median :0.0000 Median :0.0000
## Mean :0.3924 Mean :0.4272 Mean :0.3576 Mean :0.3892
## 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:1.0000
## Max. :1.0000 Max. :1.0000 Max. :1.0000 Max. :1.0000
## FP065 FP066 FP067 FP068
## Min. :0.0000 Min. :0.0000 Min. :0.0000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000
## Median :1.0000 Median :1.0000 Median :0.0000 Median :0.0000
## Mean :0.5981 Mean :0.6171 Mean :0.3259 Mean :0.2911
## 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:1.0000
## Max. :1.0000 Max. :1.0000 Max. :1.0000 Max. :1.0000
## FP069 FP070 FP071 FP072
## Min. :0.0000 Min. :0.0000 Min. :0.0000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000
## Median :0.0000 Median :0.0000 Median :0.0000 Median :1.0000
## Mean :0.3734 Mean :0.3323 Mean :0.3449 Mean :0.6456
## 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:1.0000
## Max. :1.0000 Max. :1.0000 Max. :1.0000 Max. :1.0000
## FP073 FP074 FP075 FP076
## Min. :0.0000 Min. :0.0000 Min. :0.0000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000
## Median :0.0000 Median :0.0000 Median :0.0000 Median :0.0000
## Mean :0.2911 Mean :0.3259 Mean :0.2563 Mean :0.3165
## 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:1.0000
## Max. :1.0000 Max. :1.0000 Max. :1.0000 Max. :1.0000
## FP077 FP078 FP079 FP080
## Min. :0.000 Min. :0.0000 Min. :0.0000 Min. :0.0000
## 1st Qu.:0.000 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000
## Median :0.000 Median :0.0000 Median :1.0000 Median :0.0000
## Mean :0.307 Mean :0.3101 Mean :0.7278 Mean :0.2627
## 3rd Qu.:1.000 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:1.0000
## Max. :1.000 Max. :1.0000 Max. :1.0000 Max. :1.0000
## FP081 FP082 FP083 FP084
## Min. :0.000 Min. :0.0000 Min. :0.0000 Min. :0.0000
## 1st Qu.:0.000 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000
## Median :0.000 Median :1.0000 Median :0.0000 Median :0.0000
## Mean :0.288 Mean :0.7437 Mean :0.2532 Mean :0.2247
## 3rd Qu.:1.000 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:0.0000
## Max. :1.000 Max. :1.0000 Max. :1.0000 Max. :1.0000
## FP085 FP086 FP087 FP088
## Min. :0.000 Min. :0.0000 Min. :0.0000 Min. :0.0000
## 1st Qu.:0.000 1st Qu.:0.0000 1st Qu.:1.0000 1st Qu.:0.0000
## Median :0.000 Median :0.0000 Median :1.0000 Median :0.0000
## Mean :0.269 Mean :0.2722 Mean :0.7627 Mean :0.2437
## 3rd Qu.:1.000 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:0.0000
## Max. :1.000 Max. :1.0000 Max. :1.0000 Max. :1.0000
## FP089 FP090 FP091 FP092
## Min. :0.0000 Min. :0.0000 Min. :0.000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.000 1st Qu.:0.0000
## Median :0.0000 Median :0.0000 Median :0.000 Median :0.0000
## Mean :0.2532 Mean :0.2278 Mean :0.231 Mean :0.2184
## 3rd Qu.:1.0000 3rd Qu.:0.0000 3rd Qu.:0.000 3rd Qu.:0.0000
## Max. :1.0000 Max. :1.0000 Max. :1.000 Max. :1.0000
## FP093 FP094 FP095 FP096
## Min. :0.0000 Min. :0.00 Min. :0.0000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.00 1st Qu.:0.0000 1st Qu.:0.0000
## Median :0.0000 Median :0.00 Median :0.0000 Median :0.0000
## Mean :0.2152 Mean :0.25 Mean :0.2057 Mean :0.1867
## 3rd Qu.:0.0000 3rd Qu.:0.25 3rd Qu.:0.0000 3rd Qu.:0.0000
## Max. :1.0000 Max. :1.00 Max. :1.0000 Max. :1.0000
## FP097 FP098 FP099 FP100
## Min. :0.0000 Min. :0.0000 Min. :0.000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.000 1st Qu.:0.0000
## Median :0.0000 Median :0.0000 Median :0.000 Median :0.0000
## Mean :0.2089 Mean :0.2025 Mean :0.212 Mean :0.1804
## 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:0.000 3rd Qu.:0.0000
## Max. :1.0000 Max. :1.0000 Max. :1.000 Max. :1.0000
## FP101 FP102 FP103 FP104
## Min. :0.0000 Min. :0.0000 Min. :0.0000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000
## Median :0.0000 Median :0.0000 Median :0.0000 Median :0.0000
## Mean :0.1772 Mean :0.1456 Mean :0.2184 Mean :0.1835
## 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:0.0000
## Max. :1.0000 Max. :1.0000 Max. :1.0000 Max. :1.0000
## FP105 FP106 FP107 FP108
## Min. :0.0000 Min. :0.0000 Min. :0.0000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000
## Median :0.0000 Median :0.0000 Median :0.0000 Median :0.0000
## Mean :0.2152 Mean :0.1361 Mean :0.1962 Mean :0.1804
## 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:0.0000
## Max. :1.0000 Max. :1.0000 Max. :1.0000 Max. :1.0000
## FP109 FP110 FP111 FP112
## Min. :0.0000 Min. :0.0000 Min. :0.0000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000
## Median :0.0000 Median :0.0000 Median :0.0000 Median :0.0000
## Mean :0.1741 Mean :0.1646 Mean :0.1804 Mean :0.1772
## 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:0.0000
## Max. :1.0000 Max. :1.0000 Max. :1.0000 Max. :1.0000
## FP113 FP114 FP115 FP116
## Min. :0.0000 Min. :0.0000 Min. :0.0000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000
## Median :0.0000 Median :0.0000 Median :0.0000 Median :0.0000
## Mean :0.1646 Mean :0.1772 Mean :0.1582 Mean :0.1487
## 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:0.0000
## Max. :1.0000 Max. :1.0000 Max. :1.0000 Max. :1.0000
## FP117 FP118 FP119 FP120
## Min. :0.0000 Min. :0.0000 Min. :0.0000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000
## Median :0.0000 Median :0.0000 Median :0.0000 Median :0.0000
## Mean :0.1709 Mean :0.1171 Mean :0.1677 Mean :0.1551
## 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:0.0000
## Max. :1.0000 Max. :1.0000 Max. :1.0000 Max. :1.0000
## FP121 FP122 FP123 FP124
## Min. :0.0000 Min. :0.0000 Min. :0.0000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000
## Median :0.0000 Median :0.0000 Median :0.0000 Median :0.0000
## Mean :0.1076 Mean :0.1361 Mean :0.1456 Mean :0.1329
## 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:0.0000
## Max. :1.0000 Max. :1.0000 Max. :1.0000 Max. :1.0000
## FP125 FP126 FP127 FP128
## Min. :0.0000 Min. :0.0000 Min. :0.0000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000
## Median :0.0000 Median :0.0000 Median :0.0000 Median :0.0000
## Mean :0.1203 Mean :0.1139 Mean :0.1487 Mean :0.1076
## 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:0.0000
## Max. :1.0000 Max. :1.0000 Max. :1.0000 Max. :1.0000
## FP129 FP130 FP131 FP132
## Min. :0.0000 Min. :0.00000 Min. :0.0000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.00000 1st Qu.:0.0000 1st Qu.:0.0000
## Median :0.0000 Median :0.00000 Median :0.0000 Median :0.0000
## Mean :0.1392 Mean :0.08228 Mean :0.1076 Mean :0.1266
## 3rd Qu.:0.0000 3rd Qu.:0.00000 3rd Qu.:0.0000 3rd Qu.:0.0000
## Max. :1.0000 Max. :1.00000 Max. :1.0000 Max. :1.0000
## FP133 FP134 FP135 FP136
## Min. :0.0000 Min. :0.00000 Min. :0.00000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.00000 1st Qu.:0.00000 1st Qu.:0.0000
## Median :0.0000 Median :0.00000 Median :0.00000 Median :0.0000
## Mean :0.1361 Mean :0.08544 Mean :0.06329 Mean :0.1013
## 3rd Qu.:0.0000 3rd Qu.:0.00000 3rd Qu.:0.00000 3rd Qu.:0.0000
## Max. :1.0000 Max. :1.00000 Max. :1.00000 Max. :1.0000
## FP137 FP138 FP139 FP140
## Min. :0.00000 Min. :0.00000 Min. :0.00000 Min. :0.00000
## 1st Qu.:0.00000 1st Qu.:0.00000 1st Qu.:0.00000 1st Qu.:0.00000
## Median :0.00000 Median :0.00000 Median :0.00000 Median :0.00000
## Mean :0.08861 Mean :0.08228 Mean :0.06329 Mean :0.08861
## 3rd Qu.:0.00000 3rd Qu.:0.00000 3rd Qu.:0.00000 3rd Qu.:0.00000
## Max. :1.00000 Max. :1.00000 Max. :1.00000 Max. :1.00000
## FP141 FP142 FP143 FP144
## Min. :0.00000 Min. :0.00000 Min. :0.0000 Min. :0.00000
## 1st Qu.:0.00000 1st Qu.:0.00000 1st Qu.:0.0000 1st Qu.:0.00000
## Median :0.00000 Median :0.00000 Median :0.0000 Median :0.00000
## Mean :0.06962 Mean :0.09494 Mean :0.0538 Mean :0.09177
## 3rd Qu.:0.00000 3rd Qu.:0.00000 3rd Qu.:0.0000 3rd Qu.:0.00000
## Max. :1.00000 Max. :1.00000 Max. :1.0000 Max. :1.00000
## FP145 FP146 FP147 FP148
## Min. :0.00000 Min. :0.00000 Min. :0.00000 Min. :0.00000
## 1st Qu.:0.00000 1st Qu.:0.00000 1st Qu.:0.00000 1st Qu.:0.00000
## Median :0.00000 Median :0.00000 Median :0.00000 Median :0.00000
## Mean :0.06329 Mean :0.09177 Mean :0.06962 Mean :0.07911
## 3rd Qu.:0.00000 3rd Qu.:0.00000 3rd Qu.:0.00000 3rd Qu.:0.00000
## Max. :1.00000 Max. :1.00000 Max. :1.00000 Max. :1.00000
## FP149 FP150 FP151 FP152
## Min. :0.00000 Min. :0.00000 Min. :0.00000 Min. :0.0000
## 1st Qu.:0.00000 1st Qu.:0.00000 1st Qu.:0.00000 1st Qu.:0.0000
## Median :0.00000 Median :0.00000 Median :0.00000 Median :0.0000
## Mean :0.08228 Mean :0.06646 Mean :0.03165 Mean :0.0538
## 3rd Qu.:0.00000 3rd Qu.:0.00000 3rd Qu.:0.00000 3rd Qu.:0.0000
## Max. :1.00000 Max. :1.00000 Max. :1.00000 Max. :1.0000
## FP153 FP154 FP155 FP156
## Min. :0.00000 Min. :0.00000 Min. :0.00000 Min. :0.00000
## 1st Qu.:0.00000 1st Qu.:0.00000 1st Qu.:0.00000 1st Qu.:0.00000
## Median :0.00000 Median :0.00000 Median :0.00000 Median :0.00000
## Mean :0.03481 Mean :0.03165 Mean :0.06646 Mean :0.04747
## 3rd Qu.:0.00000 3rd Qu.:0.00000 3rd Qu.:0.00000 3rd Qu.:0.00000
## Max. :1.00000 Max. :1.00000 Max. :1.00000 Max. :1.00000
## FP157 FP158 FP159 FP160
## Min. :0.00000 Min. :0.00000 Min. :0.00000 Min. :0.00000
## 1st Qu.:0.00000 1st Qu.:0.00000 1st Qu.:0.00000 1st Qu.:0.00000
## Median :0.00000 Median :0.00000 Median :0.00000 Median :0.00000
## Mean :0.05696 Mean :0.07911 Mean :0.03481 Mean :0.03481
## 3rd Qu.:0.00000 3rd Qu.:0.00000 3rd Qu.:0.00000 3rd Qu.:0.00000
## Max. :1.00000 Max. :1.00000 Max. :1.00000 Max. :1.00000
## FP161 FP162 FP163 FP164
## Min. :0.00000 Min. :0.0000 Min. :0.0000 Min. :0.0000
## 1st Qu.:0.00000 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000
## Median :0.00000 Median :1.0000 Median :0.0000 Median :1.0000
## Mean :0.03481 Mean :0.5316 Mean :0.4525 Mean :0.6551
## 3rd Qu.:0.00000 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:1.0000
## Max. :1.00000 Max. :1.0000 Max. :1.0000 Max. :1.0000
## FP165 FP166 FP167 FP168
## Min. :0.0000 Min. :0.0000 Min. :0.0000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000
## Median :0.0000 Median :0.0000 Median :0.0000 Median :1.0000
## Mean :0.3196 Mean :0.3386 Mean :0.3006 Mean :0.7152
## 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:1.0000
## Max. :1.0000 Max. :1.0000 Max. :1.0000 Max. :1.0000
## FP169 FP170 FP171 FP172
## Min. :0.0000 Min. :0.0000 Min. :0.0000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000
## Median :0.0000 Median :0.0000 Median :0.0000 Median :0.0000
## Mean :0.1867 Mean :0.1551 Mean :0.1297 Mean :0.1487
## 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:0.0000
## Max. :1.0000 Max. :1.0000 Max. :1.0000 Max. :1.0000
## FP173 FP174 FP175 FP176
## Min. :0.0000 Min. :0.0000 Min. :0.0000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000
## Median :0.0000 Median :0.0000 Median :0.0000 Median :0.0000
## Mean :0.1361 Mean :0.1551 Mean :0.1329 Mean :0.1076
## 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:0.0000
## Max. :1.0000 Max. :1.0000 Max. :1.0000 Max. :1.0000
## FP177 FP178 FP179 FP180
## Min. :0.0000 Min. :0.0000 Min. :0.0000 Min. :0.00000
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.00000
## Median :0.0000 Median :0.0000 Median :0.0000 Median :0.00000
## Mean :0.1013 Mean :0.1076 Mean :0.1392 Mean :0.06962
## 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:0.00000
## Max. :1.0000 Max. :1.0000 Max. :1.0000 Max. :1.00000
## FP181 FP182 FP183 FP184
## Min. :0.0000 Min. :0.00000 Min. :0.0000 Min. :0.00000
## 1st Qu.:0.0000 1st Qu.:0.00000 1st Qu.:0.0000 1st Qu.:0.00000
## Median :0.0000 Median :0.00000 Median :0.0000 Median :0.00000
## Mean :0.1044 Mean :0.07595 Mean :0.1329 Mean :0.09494
## 3rd Qu.:0.0000 3rd Qu.:0.00000 3rd Qu.:0.0000 3rd Qu.:0.00000
## Max. :1.0000 Max. :1.00000 Max. :1.0000 Max. :1.00000
## FP185 FP186 FP187 FP188
## Min. :0.0000 Min. :0.00000 Min. :0.00000 Min. :0.00000
## 1st Qu.:0.0000 1st Qu.:0.00000 1st Qu.:0.00000 1st Qu.:0.00000
## Median :0.0000 Median :0.00000 Median :0.00000 Median :0.00000
## Mean :0.0981 Mean :0.06013 Mean :0.06646 Mean :0.06962
## 3rd Qu.:0.0000 3rd Qu.:0.00000 3rd Qu.:0.00000 3rd Qu.:0.00000
## Max. :1.0000 Max. :1.00000 Max. :1.00000 Max. :1.00000
## FP189 FP190 FP191 FP192
## Min. :0.00000 Min. :0.0000 Min. :0.00000 Min. :0.00000
## 1st Qu.:0.00000 1st Qu.:0.0000 1st Qu.:0.00000 1st Qu.:0.00000
## Median :0.00000 Median :0.0000 Median :0.00000 Median :0.00000
## Mean :0.04114 Mean :0.0538 Mean :0.05696 Mean :0.06962
## 3rd Qu.:0.00000 3rd Qu.:0.0000 3rd Qu.:0.00000 3rd Qu.:0.00000
## Max. :1.00000 Max. :1.0000 Max. :1.00000 Max. :1.00000
## FP193 FP194 FP195 FP196
## Min. :0.00000 Min. :0.00000 Min. :0.00000 Min. :0.00000
## 1st Qu.:0.00000 1st Qu.:0.00000 1st Qu.:0.00000 1st Qu.:0.00000
## Median :0.00000 Median :0.00000 Median :0.00000 Median :0.00000
## Mean :0.06962 Mean :0.06646 Mean :0.05063 Mean :0.06962
## 3rd Qu.:0.00000 3rd Qu.:0.00000 3rd Qu.:0.00000 3rd Qu.:0.00000
## Max. :1.00000 Max. :1.00000 Max. :1.00000 Max. :1.00000
## FP197 FP198 FP199 FP200
## Min. :0.00000 Min. :0.0000 Min. :0.00000 Min. :0.00000
## 1st Qu.:0.00000 1st Qu.:0.0000 1st Qu.:0.00000 1st Qu.:0.00000
## Median :0.00000 Median :0.0000 Median :0.00000 Median :0.00000
## Mean :0.06329 Mean :0.0443 Mean :0.07278 Mean :0.06329
## 3rd Qu.:0.00000 3rd Qu.:0.0000 3rd Qu.:0.00000 3rd Qu.:0.00000
## Max. :1.00000 Max. :1.0000 Max. :1.00000 Max. :1.00000
## FP201 FP202 FP203 FP204
## Min. :0.00000 Min. :0.0000 Min. :0.0000 Min. :0.00000
## 1st Qu.:0.00000 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.00000
## Median :0.00000 Median :0.0000 Median :0.0000 Median :0.00000
## Mean :0.04114 Mean :0.2658 Mean :0.1361 Mean :0.09494
## 3rd Qu.:0.00000 3rd Qu.:1.0000 3rd Qu.:0.0000 3rd Qu.:0.00000
## Max. :1.00000 Max. :1.0000 Max. :1.0000 Max. :1.00000
## FP205 FP206 FP207 FP208
## Min. :0.00000 Min. :0.00000 Min. :0.0000 Min. :0.0000
## 1st Qu.:0.00000 1st Qu.:0.00000 1st Qu.:0.0000 1st Qu.:0.0000
## Median :0.00000 Median :0.00000 Median :0.0000 Median :0.0000
## Mean :0.07911 Mean :0.05063 Mean :0.0443 Mean :0.1361
## 3rd Qu.:0.00000 3rd Qu.:0.00000 3rd Qu.:0.0000 3rd Qu.:0.0000
## Max. :1.00000 Max. :1.00000 Max. :1.0000 Max. :1.0000
## MolWeight NumAtoms NumNonHAtoms NumBonds NumNonHBonds
## Min. : 56.07 Min. : 5.0 Min. : 3.00 Min. : 4 Min. : 2.0
## 1st Qu.:121.91 1st Qu.:17.0 1st Qu.: 8.00 1st Qu.:16 1st Qu.: 8.0
## Median :170.11 Median :22.0 Median :11.00 Median :23 Median :12.0
## Mean :194.12 Mean :24.6 Mean :12.71 Mean :25 Mean :13.1
## 3rd Qu.:253.82 3rd Qu.:29.0 3rd Qu.:16.00 3rd Qu.:30 3rd Qu.:17.0
## Max. :478.92 Max. :68.0 Max. :33.00 Max. :71 Max. :36.0
## NumMultBonds NumRotBonds NumDblBonds NumAromaticBonds
## Min. : 0.000 Min. : 0.000 Min. :0.0000 Min. : 0.000
## 1st Qu.: 1.000 1st Qu.: 0.000 1st Qu.:0.0000 1st Qu.: 0.000
## Median : 6.000 Median : 1.000 Median :1.0000 Median : 6.000
## Mean : 6.313 Mean : 1.949 Mean :0.8892 Mean : 5.399
## 3rd Qu.:10.000 3rd Qu.: 3.000 3rd Qu.:1.0000 3rd Qu.:10.000
## Max. :27.000 Max. :16.000 Max. :6.0000 Max. :27.000
## NumHydrogen NumCarbon NumNitrogen NumOxygen
## Min. : 0.0 Min. : 1.000 Min. :0.0000 Min. :0.000
## 1st Qu.: 7.0 1st Qu.: 6.000 1st Qu.:0.0000 1st Qu.:0.000
## Median :11.0 Median : 8.000 Median :0.0000 Median :1.000
## Mean :11.9 Mean : 9.785 Mean :0.7089 Mean :1.389
## 3rd Qu.:15.0 3rd Qu.:12.000 3rd Qu.:1.0000 3rd Qu.:2.000
## Max. :40.0 Max. :24.000 Max. :6.0000 Max. :9.000
## NumSulfer NumChlorine NumHalogen NumRings
## Min. :0.0000 Min. :0.000 Min. :0.0000 Min. :0.000
## 1st Qu.:0.0000 1st Qu.:0.000 1st Qu.:0.0000 1st Qu.:1.000
## Median :0.0000 Median :0.000 Median :0.0000 Median :1.000
## Mean :0.1013 Mean :0.557 Mean :0.7089 Mean :1.399
## 3rd Qu.:0.0000 3rd Qu.:0.000 3rd Qu.:1.0000 3rd Qu.:2.000
## Max. :3.0000 Max. :9.000 Max. :9.0000 Max. :6.000
## HydrophilicFactor SurfaceArea1 SurfaceArea2 Log_Solubility_Class
## Min. :-0.9860 Min. : 0.00 Min. : 0.00 Low :143
## 1st Qu.:-0.7670 1st Qu.: 9.23 1st Qu.: 9.23 High:173
## Median :-0.3970 Median : 26.30 Median : 26.30
## Mean :-0.1022 Mean : 32.76 Mean : 35.04
## 3rd Qu.: 0.2140 3rd Qu.: 49.55 3rd Qu.: 52.32
## Max. : 5.0000 Max. :201.85 Max. :201.85##################################
# Formulating a data type assessment summary
##################################
PDA <- Solubility_Train
(PDA.Summary <- data.frame(
Column.Index=c(1:length(names(PDA))),
Column.Name= names(PDA),
Column.Type=sapply(PDA, function(x) class(x)),
row.names=NULL)
)## Column.Index Column.Name Column.Type
## 1 1 FP001 integer
## 2 2 FP002 integer
## 3 3 FP003 integer
## 4 4 FP004 integer
## 5 5 FP005 integer
## 6 6 FP006 integer
## 7 7 FP007 integer
## 8 8 FP008 integer
## 9 9 FP009 integer
## 10 10 FP010 integer
## 11 11 FP011 integer
## 12 12 FP012 integer
## 13 13 FP013 integer
## 14 14 FP014 integer
## 15 15 FP015 integer
## 16 16 FP016 integer
## 17 17 FP017 integer
## 18 18 FP018 integer
## 19 19 FP019 integer
## 20 20 FP020 integer
## 21 21 FP021 integer
## 22 22 FP022 integer
## 23 23 FP023 integer
## 24 24 FP024 integer
## 25 25 FP025 integer
## 26 26 FP026 integer
## 27 27 FP027 integer
## 28 28 FP028 integer
## 29 29 FP029 integer
## 30 30 FP030 integer
## 31 31 FP031 integer
## 32 32 FP032 integer
## 33 33 FP033 integer
## 34 34 FP034 integer
## 35 35 FP035 integer
## 36 36 FP036 integer
## 37 37 FP037 integer
## 38 38 FP038 integer
## 39 39 FP039 integer
## 40 40 FP040 integer
## 41 41 FP041 integer
## 42 42 FP042 integer
## 43 43 FP043 integer
## 44 44 FP044 integer
## 45 45 FP045 integer
## 46 46 FP046 integer
## 47 47 FP047 integer
## 48 48 FP048 integer
## 49 49 FP049 integer
## 50 50 FP050 integer
## 51 51 FP051 integer
## 52 52 FP052 integer
## 53 53 FP053 integer
## 54 54 FP054 integer
## 55 55 FP055 integer
## 56 56 FP056 integer
## 57 57 FP057 integer
## 58 58 FP058 integer
## 59 59 FP059 integer
## 60 60 FP060 integer
## 61 61 FP061 integer
## 62 62 FP062 integer
## 63 63 FP063 integer
## 64 64 FP064 integer
## 65 65 FP065 integer
## 66 66 FP066 integer
## 67 67 FP067 integer
## 68 68 FP068 integer
## 69 69 FP069 integer
## 70 70 FP070 integer
## 71 71 FP071 integer
## 72 72 FP072 integer
## 73 73 FP073 integer
## 74 74 FP074 integer
## 75 75 FP075 integer
## 76 76 FP076 integer
## 77 77 FP077 integer
## 78 78 FP078 integer
## 79 79 FP079 integer
## 80 80 FP080 integer
## 81 81 FP081 integer
## 82 82 FP082 integer
## 83 83 FP083 integer
## 84 84 FP084 integer
## 85 85 FP085 integer
## 86 86 FP086 integer
## 87 87 FP087 integer
## 88 88 FP088 integer
## 89 89 FP089 integer
## 90 90 FP090 integer
## 91 91 FP091 integer
## 92 92 FP092 integer
## 93 93 FP093 integer
## 94 94 FP094 integer
## 95 95 FP095 integer
## 96 96 FP096 integer
## 97 97 FP097 integer
## 98 98 FP098 integer
## 99 99 FP099 integer
## 100 100 FP100 integer
## 101 101 FP101 integer
## 102 102 FP102 integer
## 103 103 FP103 integer
## 104 104 FP104 integer
## 105 105 FP105 integer
## 106 106 FP106 integer
## 107 107 FP107 integer
## 108 108 FP108 integer
## 109 109 FP109 integer
## 110 110 FP110 integer
## 111 111 FP111 integer
## 112 112 FP112 integer
## 113 113 FP113 integer
## 114 114 FP114 integer
## 115 115 FP115 integer
## 116 116 FP116 integer
## 117 117 FP117 integer
## 118 118 FP118 integer
## 119 119 FP119 integer
## 120 120 FP120 integer
## 121 121 FP121 integer
## 122 122 FP122 integer
## 123 123 FP123 integer
## 124 124 FP124 integer
## 125 125 FP125 integer
## 126 126 FP126 integer
## 127 127 FP127 integer
## 128 128 FP128 integer
## 129 129 FP129 integer
## 130 130 FP130 integer
## 131 131 FP131 integer
## 132 132 FP132 integer
## 133 133 FP133 integer
## 134 134 FP134 integer
## 135 135 FP135 integer
## 136 136 FP136 integer
## 137 137 FP137 integer
## 138 138 FP138 integer
## 139 139 FP139 integer
## 140 140 FP140 integer
## 141 141 FP141 integer
## 142 142 FP142 integer
## 143 143 FP143 integer
## 144 144 FP144 integer
## 145 145 FP145 integer
## 146 146 FP146 integer
## 147 147 FP147 integer
## 148 148 FP148 integer
## 149 149 FP149 integer
## 150 150 FP150 integer
## 151 151 FP151 integer
## 152 152 FP152 integer
## 153 153 FP153 integer
## 154 154 FP154 integer
## 155 155 FP155 integer
## 156 156 FP156 integer
## 157 157 FP157 integer
## 158 158 FP158 integer
## 159 159 FP159 integer
## 160 160 FP160 integer
## 161 161 FP161 integer
## 162 162 FP162 integer
## 163 163 FP163 integer
## 164 164 FP164 integer
## 165 165 FP165 integer
## 166 166 FP166 integer
## 167 167 FP167 integer
## 168 168 FP168 integer
## 169 169 FP169 integer
## 170 170 FP170 integer
## 171 171 FP171 integer
## 172 172 FP172 integer
## 173 173 FP173 integer
## 174 174 FP174 integer
## 175 175 FP175 integer
## 176 176 FP176 integer
## 177 177 FP177 integer
## 178 178 FP178 integer
## 179 179 FP179 integer
## 180 180 FP180 integer
## 181 181 FP181 integer
## 182 182 FP182 integer
## 183 183 FP183 integer
## 184 184 FP184 integer
## 185 185 FP185 integer
## 186 186 FP186 integer
## 187 187 FP187 integer
## 188 188 FP188 integer
## 189 189 FP189 integer
## 190 190 FP190 integer
## 191 191 FP191 integer
## 192 192 FP192 integer
## 193 193 FP193 integer
## 194 194 FP194 integer
## 195 195 FP195 integer
## 196 196 FP196 integer
## 197 197 FP197 integer
## 198 198 FP198 integer
## 199 199 FP199 integer
## 200 200 FP200 integer
## 201 201 FP201 integer
## 202 202 FP202 integer
## 203 203 FP203 integer
## 204 204 FP204 integer
## 205 205 FP205 integer
## 206 206 FP206 integer
## 207 207 FP207 integer
## 208 208 FP208 integer
## 209 209 MolWeight numeric
## 210 210 NumAtoms integer
## 211 211 NumNonHAtoms integer
## 212 212 NumBonds integer
## 213 213 NumNonHBonds integer
## 214 214 NumMultBonds integer
## 215 215 NumRotBonds integer
## 216 216 NumDblBonds integer
## 217 217 NumAromaticBonds integer
## 218 218 NumHydrogen integer
## 219 219 NumCarbon integer
## 220 220 NumNitrogen integer
## 221 221 NumOxygen integer
## 222 222 NumSulfer integer
## 223 223 NumChlorine integer
## 224 224 NumHalogen integer
## 225 225 NumRings integer
## 226 226 HydrophilicFactor numeric
## 227 227 SurfaceArea1 numeric
## 228 228 SurfaceArea2 numeric
## 229 229 Log_Solubility_Class factor1.2 Data Quality Assessment
[A] No missing observations noted for any variable.
[B] Low variance observed for 127 variables with First.Second.Mode.Ratio>5.
[B.1]-[B.33] FP013 to FP045 variables (factor)
[B.34]-[B.45] FP048 to FP059 variables (factor)
[B.46] FP114 variable (factor)
[B.47]-[B.50] FP119 to FP122 variable (factor)
[B.51]-[B.88] FP124 to FP161 variables (factor)
[B.89]-[B.118] FP172 to FP201 variables (factor)
[B.119]-[B.124] FP203 to FP208 variables (factor)
[B.125] NumSulfer variable (numeric)
[B.126] NumChlorine variable (numeric)
[B.127] NumHalogen variable (numeric)
[C] Low variance observed for 4 variables with Unique.Count.Ratio<0.01.
[C.1] NumDblBonds variable (numeric)
[C.2] NumNitrogen variable (numeric)
[C.3] NumSulfer variable (numeric)
[C.4] NumRings variable (numeric)
[D] High skewness observed for 3 variables with Skewness>3 or Skewness<(-3).
[D.1] NumSulfer variable (numeric)
[D.2] NumChlorine variable (numeric)
[D.3] HydrophilicFactor variable (numeric)
Code Chunk | Output
##################################
# Loading dataset
##################################
DQA <- Solubility_Train
##################################
# Formulating an overall data quality assessment summary
##################################
(DQA.Summary <- data.frame(
Column.Index=c(1:length(names(DQA))),
Column.Name= names(DQA),
Column.Type=sapply(DQA, function(x) class(x)),
Row.Count=sapply(DQA, function(x) nrow(DQA)),
NA.Count=sapply(DQA,function(x)sum(is.na(x))),
Fill.Rate=sapply(DQA,function(x)format(round((sum(!is.na(x))/nrow(DQA)),3),nsmall=3)),
row.names=NULL)
)## Column.Index Column.Name Column.Type Row.Count NA.Count Fill.Rate
## 1 1 FP001 integer 951 0 1.000
## 2 2 FP002 integer 951 0 1.000
## 3 3 FP003 integer 951 0 1.000
## 4 4 FP004 integer 951 0 1.000
## 5 5 FP005 integer 951 0 1.000
## 6 6 FP006 integer 951 0 1.000
## 7 7 FP007 integer 951 0 1.000
## 8 8 FP008 integer 951 0 1.000
## 9 9 FP009 integer 951 0 1.000
## 10 10 FP010 integer 951 0 1.000
## 11 11 FP011 integer 951 0 1.000
## 12 12 FP012 integer 951 0 1.000
## 13 13 FP013 integer 951 0 1.000
## 14 14 FP014 integer 951 0 1.000
## 15 15 FP015 integer 951 0 1.000
## 16 16 FP016 integer 951 0 1.000
## 17 17 FP017 integer 951 0 1.000
## 18 18 FP018 integer 951 0 1.000
## 19 19 FP019 integer 951 0 1.000
## 20 20 FP020 integer 951 0 1.000
## 21 21 FP021 integer 951 0 1.000
## 22 22 FP022 integer 951 0 1.000
## 23 23 FP023 integer 951 0 1.000
## 24 24 FP024 integer 951 0 1.000
## 25 25 FP025 integer 951 0 1.000
## 26 26 FP026 integer 951 0 1.000
## 27 27 FP027 integer 951 0 1.000
## 28 28 FP028 integer 951 0 1.000
## 29 29 FP029 integer 951 0 1.000
## 30 30 FP030 integer 951 0 1.000
## 31 31 FP031 integer 951 0 1.000
## 32 32 FP032 integer 951 0 1.000
## 33 33 FP033 integer 951 0 1.000
## 34 34 FP034 integer 951 0 1.000
## 35 35 FP035 integer 951 0 1.000
## 36 36 FP036 integer 951 0 1.000
## 37 37 FP037 integer 951 0 1.000
## 38 38 FP038 integer 951 0 1.000
## 39 39 FP039 integer 951 0 1.000
## 40 40 FP040 integer 951 0 1.000
## 41 41 FP041 integer 951 0 1.000
## 42 42 FP042 integer 951 0 1.000
## 43 43 FP043 integer 951 0 1.000
## 44 44 FP044 integer 951 0 1.000
## 45 45 FP045 integer 951 0 1.000
## 46 46 FP046 integer 951 0 1.000
## 47 47 FP047 integer 951 0 1.000
## 48 48 FP048 integer 951 0 1.000
## 49 49 FP049 integer 951 0 1.000
## 50 50 FP050 integer 951 0 1.000
## 51 51 FP051 integer 951 0 1.000
## 52 52 FP052 integer 951 0 1.000
## 53 53 FP053 integer 951 0 1.000
## 54 54 FP054 integer 951 0 1.000
## 55 55 FP055 integer 951 0 1.000
## 56 56 FP056 integer 951 0 1.000
## 57 57 FP057 integer 951 0 1.000
## 58 58 FP058 integer 951 0 1.000
## 59 59 FP059 integer 951 0 1.000
## 60 60 FP060 integer 951 0 1.000
## 61 61 FP061 integer 951 0 1.000
## 62 62 FP062 integer 951 0 1.000
## 63 63 FP063 integer 951 0 1.000
## 64 64 FP064 integer 951 0 1.000
## 65 65 FP065 integer 951 0 1.000
## 66 66 FP066 integer 951 0 1.000
## 67 67 FP067 integer 951 0 1.000
## 68 68 FP068 integer 951 0 1.000
## 69 69 FP069 integer 951 0 1.000
## 70 70 FP070 integer 951 0 1.000
## 71 71 FP071 integer 951 0 1.000
## 72 72 FP072 integer 951 0 1.000
## 73 73 FP073 integer 951 0 1.000
## 74 74 FP074 integer 951 0 1.000
## 75 75 FP075 integer 951 0 1.000
## 76 76 FP076 integer 951 0 1.000
## 77 77 FP077 integer 951 0 1.000
## 78 78 FP078 integer 951 0 1.000
## 79 79 FP079 integer 951 0 1.000
## 80 80 FP080 integer 951 0 1.000
## 81 81 FP081 integer 951 0 1.000
## 82 82 FP082 integer 951 0 1.000
## 83 83 FP083 integer 951 0 1.000
## 84 84 FP084 integer 951 0 1.000
## 85 85 FP085 integer 951 0 1.000
## 86 86 FP086 integer 951 0 1.000
## 87 87 FP087 integer 951 0 1.000
## 88 88 FP088 integer 951 0 1.000
## 89 89 FP089 integer 951 0 1.000
## 90 90 FP090 integer 951 0 1.000
## 91 91 FP091 integer 951 0 1.000
## 92 92 FP092 integer 951 0 1.000
## 93 93 FP093 integer 951 0 1.000
## 94 94 FP094 integer 951 0 1.000
## 95 95 FP095 integer 951 0 1.000
## 96 96 FP096 integer 951 0 1.000
## 97 97 FP097 integer 951 0 1.000
## 98 98 FP098 integer 951 0 1.000
## 99 99 FP099 integer 951 0 1.000
## 100 100 FP100 integer 951 0 1.000
## 101 101 FP101 integer 951 0 1.000
## 102 102 FP102 integer 951 0 1.000
## 103 103 FP103 integer 951 0 1.000
## 104 104 FP104 integer 951 0 1.000
## 105 105 FP105 integer 951 0 1.000
## 106 106 FP106 integer 951 0 1.000
## 107 107 FP107 integer 951 0 1.000
## 108 108 FP108 integer 951 0 1.000
## 109 109 FP109 integer 951 0 1.000
## 110 110 FP110 integer 951 0 1.000
## 111 111 FP111 integer 951 0 1.000
## 112 112 FP112 integer 951 0 1.000
## 113 113 FP113 integer 951 0 1.000
## 114 114 FP114 integer 951 0 1.000
## 115 115 FP115 integer 951 0 1.000
## 116 116 FP116 integer 951 0 1.000
## 117 117 FP117 integer 951 0 1.000
## 118 118 FP118 integer 951 0 1.000
## 119 119 FP119 integer 951 0 1.000
## 120 120 FP120 integer 951 0 1.000
## 121 121 FP121 integer 951 0 1.000
## 122 122 FP122 integer 951 0 1.000
## 123 123 FP123 integer 951 0 1.000
## 124 124 FP124 integer 951 0 1.000
## 125 125 FP125 integer 951 0 1.000
## 126 126 FP126 integer 951 0 1.000
## 127 127 FP127 integer 951 0 1.000
## 128 128 FP128 integer 951 0 1.000
## 129 129 FP129 integer 951 0 1.000
## 130 130 FP130 integer 951 0 1.000
## 131 131 FP131 integer 951 0 1.000
## 132 132 FP132 integer 951 0 1.000
## 133 133 FP133 integer 951 0 1.000
## 134 134 FP134 integer 951 0 1.000
## 135 135 FP135 integer 951 0 1.000
## 136 136 FP136 integer 951 0 1.000
## 137 137 FP137 integer 951 0 1.000
## 138 138 FP138 integer 951 0 1.000
## 139 139 FP139 integer 951 0 1.000
## 140 140 FP140 integer 951 0 1.000
## 141 141 FP141 integer 951 0 1.000
## 142 142 FP142 integer 951 0 1.000
## 143 143 FP143 integer 951 0 1.000
## 144 144 FP144 integer 951 0 1.000
## 145 145 FP145 integer 951 0 1.000
## 146 146 FP146 integer 951 0 1.000
## 147 147 FP147 integer 951 0 1.000
## 148 148 FP148 integer 951 0 1.000
## 149 149 FP149 integer 951 0 1.000
## 150 150 FP150 integer 951 0 1.000
## 151 151 FP151 integer 951 0 1.000
## 152 152 FP152 integer 951 0 1.000
## 153 153 FP153 integer 951 0 1.000
## 154 154 FP154 integer 951 0 1.000
## 155 155 FP155 integer 951 0 1.000
## 156 156 FP156 integer 951 0 1.000
## 157 157 FP157 integer 951 0 1.000
## 158 158 FP158 integer 951 0 1.000
## 159 159 FP159 integer 951 0 1.000
## 160 160 FP160 integer 951 0 1.000
## 161 161 FP161 integer 951 0 1.000
## 162 162 FP162 integer 951 0 1.000
## 163 163 FP163 integer 951 0 1.000
## 164 164 FP164 integer 951 0 1.000
## 165 165 FP165 integer 951 0 1.000
## 166 166 FP166 integer 951 0 1.000
## 167 167 FP167 integer 951 0 1.000
## 168 168 FP168 integer 951 0 1.000
## 169 169 FP169 integer 951 0 1.000
## 170 170 FP170 integer 951 0 1.000
## 171 171 FP171 integer 951 0 1.000
## 172 172 FP172 integer 951 0 1.000
## 173 173 FP173 integer 951 0 1.000
## 174 174 FP174 integer 951 0 1.000
## 175 175 FP175 integer 951 0 1.000
## 176 176 FP176 integer 951 0 1.000
## 177 177 FP177 integer 951 0 1.000
## 178 178 FP178 integer 951 0 1.000
## 179 179 FP179 integer 951 0 1.000
## 180 180 FP180 integer 951 0 1.000
## 181 181 FP181 integer 951 0 1.000
## 182 182 FP182 integer 951 0 1.000
## 183 183 FP183 integer 951 0 1.000
## 184 184 FP184 integer 951 0 1.000
## 185 185 FP185 integer 951 0 1.000
## 186 186 FP186 integer 951 0 1.000
## 187 187 FP187 integer 951 0 1.000
## 188 188 FP188 integer 951 0 1.000
## 189 189 FP189 integer 951 0 1.000
## 190 190 FP190 integer 951 0 1.000
## 191 191 FP191 integer 951 0 1.000
## 192 192 FP192 integer 951 0 1.000
## 193 193 FP193 integer 951 0 1.000
## 194 194 FP194 integer 951 0 1.000
## 195 195 FP195 integer 951 0 1.000
## 196 196 FP196 integer 951 0 1.000
## 197 197 FP197 integer 951 0 1.000
## 198 198 FP198 integer 951 0 1.000
## 199 199 FP199 integer 951 0 1.000
## 200 200 FP200 integer 951 0 1.000
## 201 201 FP201 integer 951 0 1.000
## 202 202 FP202 integer 951 0 1.000
## 203 203 FP203 integer 951 0 1.000
## 204 204 FP204 integer 951 0 1.000
## 205 205 FP205 integer 951 0 1.000
## 206 206 FP206 integer 951 0 1.000
## 207 207 FP207 integer 951 0 1.000
## 208 208 FP208 integer 951 0 1.000
## 209 209 MolWeight numeric 951 0 1.000
## 210 210 NumAtoms integer 951 0 1.000
## 211 211 NumNonHAtoms integer 951 0 1.000
## 212 212 NumBonds integer 951 0 1.000
## 213 213 NumNonHBonds integer 951 0 1.000
## 214 214 NumMultBonds integer 951 0 1.000
## 215 215 NumRotBonds integer 951 0 1.000
## 216 216 NumDblBonds integer 951 0 1.000
## 217 217 NumAromaticBonds integer 951 0 1.000
## 218 218 NumHydrogen integer 951 0 1.000
## 219 219 NumCarbon integer 951 0 1.000
## 220 220 NumNitrogen integer 951 0 1.000
## 221 221 NumOxygen integer 951 0 1.000
## 222 222 NumSulfer integer 951 0 1.000
## 223 223 NumChlorine integer 951 0 1.000
## 224 224 NumHalogen integer 951 0 1.000
## 225 225 NumRings integer 951 0 1.000
## 226 226 HydrophilicFactor numeric 951 0 1.000
## 227 227 SurfaceArea1 numeric 951 0 1.000
## 228 228 SurfaceArea2 numeric 951 0 1.000
## 229 229 Log_Solubility_Class factor 951 0 1.000##################################
# Listing all predictors
##################################
DQA.Predictors <- DQA[,!names(DQA) %in% c("Log_Solubility_Class")]
##################################
# Listing all numeric predictors
##################################
DQA.Predictors.Numeric <- DQA.Predictors[,-(grep("FP", names(DQA.Predictors)))]
if (length(names(DQA.Predictors.Numeric))>0) {
print(paste0("There are ",
(length(names(DQA.Predictors.Numeric))),
" numeric predictor variable(s)."))
} else {
print("There are no numeric predictor variables.")
}## [1] "There are 20 numeric predictor variable(s)."##################################
# Listing all factor predictors
##################################
DQA.Predictors.Factor <-as.data.frame(lapply(DQA.Predictors[(grep("FP", names(DQA.Predictors)))],factor))
if (length(names(DQA.Predictors.Factor))>0) {
print(paste0("There are ",
(length(names(DQA.Predictors.Factor))),
" factor predictor variable(s)."))
} else {
print("There are no factor predictor variables.")
}## [1] "There are 208 factor predictor variable(s)."##################################
# Formulating a data quality assessment summary for factor predictors
##################################
if (length(names(DQA.Predictors.Factor))>0) {
##################################
# Formulating a function to determine the first mode
##################################
FirstModes <- function(x) {
ux <- unique(na.omit(x))
tab <- tabulate(match(x, ux))
ux[tab == max(tab)]
}
##################################
# Formulating a function to determine the second mode
##################################
SecondModes <- function(x) {
ux <- unique(na.omit(x))
tab <- tabulate(match(x, ux))
fm = ux[tab == max(tab)]
sm = x[!(x %in% fm)]
usm <- unique(sm)
tabsm <- tabulate(match(sm, usm))
ifelse(is.na(usm[tabsm == max(tabsm)])==TRUE,
return("x"),
return(usm[tabsm == max(tabsm)]))
}
(DQA.Predictors.Factor.Summary <- data.frame(
Column.Name= names(DQA.Predictors.Factor),
Column.Type=sapply(DQA.Predictors.Factor, function(x) class(x)),
Unique.Count=sapply(DQA.Predictors.Factor, function(x) length(unique(x))),
First.Mode.Value=sapply(DQA.Predictors.Factor, function(x) as.character(FirstModes(x)[1])),
Second.Mode.Value=sapply(DQA.Predictors.Factor, function(x) as.character(SecondModes(x)[1])),
First.Mode.Count=sapply(DQA.Predictors.Factor, function(x) sum(na.omit(x) == FirstModes(x)[1])),
Second.Mode.Count=sapply(DQA.Predictors.Factor, function(x) sum(na.omit(x) == SecondModes(x)[1])),
Unique.Count.Ratio=sapply(DQA.Predictors.Factor, function(x) format(round((length(unique(x))/nrow(DQA.Predictors.Factor)),3), nsmall=3)),
First.Second.Mode.Ratio=sapply(DQA.Predictors.Factor, function(x) format(round((sum(na.omit(x) == FirstModes(x)[1])/sum(na.omit(x) == SecondModes(x)[1])),3), nsmall=3)),
row.names=NULL)
)
} ## Column.Name Column.Type Unique.Count First.Mode.Value Second.Mode.Value
## 1 FP001 factor 2 0 1
## 2 FP002 factor 2 1 0
## 3 FP003 factor 2 0 1
## 4 FP004 factor 2 1 0
## 5 FP005 factor 2 1 0
## 6 FP006 factor 2 0 1
## 7 FP007 factor 2 0 1
## 8 FP008 factor 2 0 1
## 9 FP009 factor 2 0 1
## 10 FP010 factor 2 0 1
## 11 FP011 factor 2 0 1
## 12 FP012 factor 2 0 1
## 13 FP013 factor 2 0 1
## 14 FP014 factor 2 0 1
## 15 FP015 factor 2 1 0
## 16 FP016 factor 2 0 1
## 17 FP017 factor 2 0 1
## 18 FP018 factor 2 0 1
## 19 FP019 factor 2 0 1
## 20 FP020 factor 2 0 1
## 21 FP021 factor 2 0 1
## 22 FP022 factor 2 0 1
## 23 FP023 factor 2 0 1
## 24 FP024 factor 2 0 1
## 25 FP025 factor 2 0 1
## 26 FP026 factor 2 0 1
## 27 FP027 factor 2 0 1
## 28 FP028 factor 2 0 1
## 29 FP029 factor 2 0 1
## 30 FP030 factor 2 0 1
## 31 FP031 factor 2 0 1
## 32 FP032 factor 2 0 1
## 33 FP033 factor 2 0 1
## 34 FP034 factor 2 0 1
## 35 FP035 factor 2 0 1
## 36 FP036 factor 2 0 1
## 37 FP037 factor 2 0 1
## 38 FP038 factor 2 0 1
## 39 FP039 factor 2 0 1
## 40 FP040 factor 2 0 1
## 41 FP041 factor 2 0 1
## 42 FP042 factor 2 0 1
## 43 FP043 factor 2 0 1
## 44 FP044 factor 2 0 1
## 45 FP045 factor 2 0 1
## 46 FP046 factor 2 0 1
## 47 FP047 factor 2 0 1
## 48 FP048 factor 2 0 1
## 49 FP049 factor 2 0 1
## 50 FP050 factor 2 0 1
## 51 FP051 factor 2 0 1
## 52 FP052 factor 2 0 1
## 53 FP053 factor 2 0 1
## 54 FP054 factor 2 0 1
## 55 FP055 factor 2 0 1
## 56 FP056 factor 2 0 1
## 57 FP057 factor 2 0 1
## 58 FP058 factor 2 0 1
## 59 FP059 factor 2 0 1
## 60 FP060 factor 2 0 1
## 61 FP061 factor 2 0 1
## 62 FP062 factor 2 0 1
## 63 FP063 factor 2 0 1
## 64 FP064 factor 2 0 1
## 65 FP065 factor 2 1 0
## 66 FP066 factor 2 1 0
## 67 FP067 factor 2 0 1
## 68 FP068 factor 2 0 1
## 69 FP069 factor 2 0 1
## 70 FP070 factor 2 0 1
## 71 FP071 factor 2 0 1
## 72 FP072 factor 2 1 0
## 73 FP073 factor 2 0 1
## 74 FP074 factor 2 0 1
## 75 FP075 factor 2 0 1
## 76 FP076 factor 2 0 1
## 77 FP077 factor 2 0 1
## 78 FP078 factor 2 0 1
## 79 FP079 factor 2 1 0
## 80 FP080 factor 2 0 1
## 81 FP081 factor 2 0 1
## 82 FP082 factor 2 1 0
## 83 FP083 factor 2 0 1
## 84 FP084 factor 2 0 1
## 85 FP085 factor 2 0 1
## 86 FP086 factor 2 0 1
## 87 FP087 factor 2 1 0
## 88 FP088 factor 2 0 1
## 89 FP089 factor 2 0 1
## 90 FP090 factor 2 0 1
## 91 FP091 factor 2 0 1
## 92 FP092 factor 2 0 1
## 93 FP093 factor 2 0 1
## 94 FP094 factor 2 0 1
## 95 FP095 factor 2 0 1
## 96 FP096 factor 2 0 1
## 97 FP097 factor 2 0 1
## 98 FP098 factor 2 0 1
## 99 FP099 factor 2 0 1
## 100 FP100 factor 2 0 1
## 101 FP101 factor 2 0 1
## 102 FP102 factor 2 0 1
## 103 FP103 factor 2 0 1
## 104 FP104 factor 2 0 1
## 105 FP105 factor 2 0 1
## 106 FP106 factor 2 0 1
## 107 FP107 factor 2 0 1
## 108 FP108 factor 2 0 1
## 109 FP109 factor 2 0 1
## 110 FP110 factor 2 0 1
## 111 FP111 factor 2 0 1
## 112 FP112 factor 2 0 1
## 113 FP113 factor 2 0 1
## 114 FP114 factor 2 0 1
## 115 FP115 factor 2 0 1
## 116 FP116 factor 2 0 1
## 117 FP117 factor 2 0 1
## 118 FP118 factor 2 0 1
## 119 FP119 factor 2 0 1
## 120 FP120 factor 2 0 1
## 121 FP121 factor 2 0 1
## 122 FP122 factor 2 0 1
## 123 FP123 factor 2 0 1
## 124 FP124 factor 2 0 1
## 125 FP125 factor 2 0 1
## 126 FP126 factor 2 0 1
## 127 FP127 factor 2 0 1
## 128 FP128 factor 2 0 1
## 129 FP129 factor 2 0 1
## 130 FP130 factor 2 0 1
## 131 FP131 factor 2 0 1
## 132 FP132 factor 2 0 1
## 133 FP133 factor 2 0 1
## 134 FP134 factor 2 0 1
## 135 FP135 factor 2 0 1
## 136 FP136 factor 2 0 1
## 137 FP137 factor 2 0 1
## 138 FP138 factor 2 0 1
## 139 FP139 factor 2 0 1
## 140 FP140 factor 2 0 1
## 141 FP141 factor 2 0 1
## 142 FP142 factor 2 0 1
## 143 FP143 factor 2 0 1
## 144 FP144 factor 2 0 1
## 145 FP145 factor 2 0 1
## 146 FP146 factor 2 0 1
## 147 FP147 factor 2 0 1
## 148 FP148 factor 2 0 1
## 149 FP149 factor 2 0 1
## 150 FP150 factor 2 0 1
## 151 FP151 factor 2 0 1
## 152 FP152 factor 2 0 1
## 153 FP153 factor 2 0 1
## 154 FP154 factor 2 0 1
## 155 FP155 factor 2 0 1
## 156 FP156 factor 2 0 1
## 157 FP157 factor 2 0 1
## 158 FP158 factor 2 0 1
## 159 FP159 factor 2 0 1
## 160 FP160 factor 2 0 1
## 161 FP161 factor 2 0 1
## 162 FP162 factor 2 0 1
## 163 FP163 factor 2 0 1
## 164 FP164 factor 2 1 0
## 165 FP165 factor 2 0 1
## 166 FP166 factor 2 0 1
## 167 FP167 factor 2 0 1
## 168 FP168 factor 2 1 0
## 169 FP169 factor 2 0 1
## 170 FP170 factor 2 0 1
## 171 FP171 factor 2 0 1
## 172 FP172 factor 2 0 1
## 173 FP173 factor 2 0 1
## 174 FP174 factor 2 0 1
## 175 FP175 factor 2 0 1
## 176 FP176 factor 2 0 1
## 177 FP177 factor 2 0 1
## 178 FP178 factor 2 0 1
## 179 FP179 factor 2 0 1
## 180 FP180 factor 2 0 1
## 181 FP181 factor 2 0 1
## 182 FP182 factor 2 0 1
## 183 FP183 factor 2 0 1
## 184 FP184 factor 2 0 1
## 185 FP185 factor 2 0 1
## 186 FP186 factor 2 0 1
## 187 FP187 factor 2 0 1
## 188 FP188 factor 2 0 1
## 189 FP189 factor 2 0 1
## 190 FP190 factor 2 0 1
## 191 FP191 factor 2 0 1
## 192 FP192 factor 2 0 1
## 193 FP193 factor 2 0 1
## 194 FP194 factor 2 0 1
## 195 FP195 factor 2 0 1
## 196 FP196 factor 2 0 1
## 197 FP197 factor 2 0 1
## 198 FP198 factor 2 0 1
## 199 FP199 factor 2 0 1
## 200 FP200 factor 2 0 1
## 201 FP201 factor 2 0 1
## 202 FP202 factor 2 0 1
## 203 FP203 factor 2 0 1
## 204 FP204 factor 2 0 1
## 205 FP205 factor 2 0 1
## 206 FP206 factor 2 0 1
## 207 FP207 factor 2 0 1
## 208 FP208 factor 2 0 1
## First.Mode.Count Second.Mode.Count Unique.Count.Ratio
## 1 482 469 0.002
## 2 513 438 0.002
## 3 536 415 0.002
## 4 556 395 0.002
## 5 551 400 0.002
## 6 570 381 0.002
## 7 605 346 0.002
## 8 641 310 0.002
## 9 685 266 0.002
## 10 781 170 0.002
## 11 747 204 0.002
## 12 783 168 0.002
## 13 793 158 0.002
## 14 798 153 0.002
## 15 818 133 0.002
## 16 812 139 0.002
## 17 814 137 0.002
## 18 826 125 0.002
## 19 835 116 0.002
## 20 837 114 0.002
## 21 836 115 0.002
## 22 852 99 0.002
## 23 834 117 0.002
## 24 844 107 0.002
## 25 841 110 0.002
## 26 871 80 0.002
## 27 858 93 0.002
## 28 850 101 0.002
## 29 854 97 0.002
## 30 862 89 0.002
## 31 866 85 0.002
## 32 881 70 0.002
## 33 885 66 0.002
## 34 875 76 0.002
## 35 882 69 0.002
## 36 879 72 0.002
## 37 884 67 0.002
## 38 869 82 0.002
## 39 880 71 0.002
## 40 886 65 0.002
## 41 891 60 0.002
## 42 897 54 0.002
## 43 888 63 0.002
## 44 894 57 0.002
## 45 898 53 0.002
## 46 651 300 0.002
## 47 698 253 0.002
## 48 833 118 0.002
## 49 835 116 0.002
## 50 844 107 0.002
## 51 847 104 0.002
## 52 864 87 0.002
## 53 862 89 0.002
## 54 879 72 0.002
## 55 900 51 0.002
## 56 889 62 0.002
## 57 837 114 0.002
## 58 843 108 0.002
## 59 899 52 0.002
## 60 493 458 0.002
## 61 526 425 0.002
## 62 535 416 0.002
## 63 546 405 0.002
## 64 555 396 0.002
## 65 564 387 0.002
## 66 580 371 0.002
## 67 590 361 0.002
## 68 607 344 0.002
## 69 607 344 0.002
## 70 613 338 0.002
## 71 640 311 0.002
## 72 626 325 0.002
## 73 656 295 0.002
## 74 642 309 0.002
## 75 629 322 0.002
## 76 639 312 0.002
## 77 646 305 0.002
## 78 662 289 0.002
## 79 656 295 0.002
## 80 663 288 0.002
## 81 686 265 0.002
## 82 679 272 0.002
## 83 691 260 0.002
## 84 679 272 0.002
## 85 708 243 0.002
## 86 695 256 0.002
## 87 691 260 0.002
## 88 701 250 0.002
## 89 716 235 0.002
## 90 714 237 0.002
## 91 737 214 0.002
## 92 719 232 0.002
## 93 719 232 0.002
## 94 731 220 0.002
## 95 742 209 0.002
## 96 744 207 0.002
## 97 727 224 0.002
## 98 725 226 0.002
## 99 735 216 0.002
## 100 731 220 0.002
## 101 726 225 0.002
## 102 759 192 0.002
## 103 743 208 0.002
## 104 739 212 0.002
## 105 746 205 0.002
## 106 769 182 0.002
## 107 750 201 0.002
## 108 756 195 0.002
## 109 783 168 0.002
## 110 755 196 0.002
## 111 764 187 0.002
## 112 766 185 0.002
## 113 765 186 0.002
## 114 803 148 0.002
## 115 781 170 0.002
## 116 768 183 0.002
## 117 781 170 0.002
## 118 768 183 0.002
## 119 796 155 0.002
## 120 793 158 0.002
## 121 818 133 0.002
## 122 795 156 0.002
## 123 792 159 0.002
## 124 797 154 0.002
## 125 803 148 0.002
## 126 810 141 0.002
## 127 818 133 0.002
## 128 810 141 0.002
## 129 819 132 0.002
## 130 851 100 0.002
## 131 831 120 0.002
## 132 832 119 0.002
## 133 831 120 0.002
## 134 830 121 0.002
## 135 831 120 0.002
## 136 836 115 0.002
## 137 841 110 0.002
## 138 845 106 0.002
## 139 873 78 0.002
## 140 845 106 0.002
## 141 840 111 0.002
## 142 847 104 0.002
## 143 874 77 0.002
## 144 852 99 0.002
## 145 852 99 0.002
## 146 853 98 0.002
## 147 851 100 0.002
## 148 868 83 0.002
## 149 865 86 0.002
## 150 876 75 0.002
## 151 898 53 0.002
## 152 873 78 0.002
## 153 877 74 0.002
## 154 915 36 0.002
## 155 885 66 0.002
## 156 884 67 0.002
## 157 892 59 0.002
## 158 900 51 0.002
## 159 884 67 0.002
## 160 886 65 0.002
## 161 888 63 0.002
## 162 480 471 0.002
## 163 498 453 0.002
## 164 597 354 0.002
## 165 619 332 0.002
## 166 636 315 0.002
## 167 639 312 0.002
## 168 633 318 0.002
## 169 774 177 0.002
## 170 776 175 0.002
## 171 790 161 0.002
## 172 807 144 0.002
## 173 816 135 0.002
## 174 827 124 0.002
## 175 823 128 0.002
## 176 835 116 0.002
## 177 836 115 0.002
## 178 836 115 0.002
## 179 858 93 0.002
## 180 849 102 0.002
## 181 862 89 0.002
## 182 857 94 0.002
## 183 879 72 0.002
## 184 871 80 0.002
## 185 870 81 0.002
## 186 878 73 0.002
## 187 882 69 0.002
## 188 886 65 0.002
## 189 878 73 0.002
## 190 882 69 0.002
## 191 884 67 0.002
## 192 893 58 0.002
## 193 892 59 0.002
## 194 895 56 0.002
## 195 893 58 0.002
## 196 897 54 0.002
## 197 901 50 0.002
## 198 897 54 0.002
## 199 906 45 0.002
## 200 904 47 0.002
## 201 901 50 0.002
## 202 706 245 0.002
## 203 842 109 0.002
## 204 857 94 0.002
## 205 877 74 0.002
## 206 894 57 0.002
## 207 897 54 0.002
## 208 844 107 0.002
## First.Second.Mode.Ratio
## 1 1.028
## 2 1.171
## 3 1.292
## 4 1.408
## 5 1.378
## 6 1.496
## 7 1.749
## 8 2.068
## 9 2.575
## 10 4.594
## 11 3.662
## 12 4.661
## 13 5.019
## 14 5.216
## 15 6.150
## 16 5.842
## 17 5.942
## 18 6.608
## 19 7.198
## 20 7.342
## 21 7.270
## 22 8.606
## 23 7.128
## 24 7.888
## 25 7.645
## 26 10.887
## 27 9.226
## 28 8.416
## 29 8.804
## 30 9.685
## 31 10.188
## 32 12.586
## 33 13.409
## 34 11.513
## 35 12.783
## 36 12.208
## 37 13.194
## 38 10.598
## 39 12.394
## 40 13.631
## 41 14.850
## 42 16.611
## 43 14.095
## 44 15.684
## 45 16.943
## 46 2.170
## 47 2.759
## 48 7.059
## 49 7.198
## 50 7.888
## 51 8.144
## 52 9.931
## 53 9.685
## 54 12.208
## 55 17.647
## 56 14.339
## 57 7.342
## 58 7.806
## 59 17.288
## 60 1.076
## 61 1.238
## 62 1.286
## 63 1.348
## 64 1.402
## 65 1.457
## 66 1.563
## 67 1.634
## 68 1.765
## 69 1.765
## 70 1.814
## 71 2.058
## 72 1.926
## 73 2.224
## 74 2.078
## 75 1.953
## 76 2.048
## 77 2.118
## 78 2.291
## 79 2.224
## 80 2.302
## 81 2.589
## 82 2.496
## 83 2.658
## 84 2.496
## 85 2.914
## 86 2.715
## 87 2.658
## 88 2.804
## 89 3.047
## 90 3.013
## 91 3.444
## 92 3.099
## 93 3.099
## 94 3.323
## 95 3.550
## 96 3.594
## 97 3.246
## 98 3.208
## 99 3.403
## 100 3.323
## 101 3.227
## 102 3.953
## 103 3.572
## 104 3.486
## 105 3.639
## 106 4.225
## 107 3.731
## 108 3.877
## 109 4.661
## 110 3.852
## 111 4.086
## 112 4.141
## 113 4.113
## 114 5.426
## 115 4.594
## 116 4.197
## 117 4.594
## 118 4.197
## 119 5.135
## 120 5.019
## 121 6.150
## 122 5.096
## 123 4.981
## 124 5.175
## 125 5.426
## 126 5.745
## 127 6.150
## 128 5.745
## 129 6.205
## 130 8.510
## 131 6.925
## 132 6.992
## 133 6.925
## 134 6.860
## 135 6.925
## 136 7.270
## 137 7.645
## 138 7.972
## 139 11.192
## 140 7.972
## 141 7.568
## 142 8.144
## 143 11.351
## 144 8.606
## 145 8.606
## 146 8.704
## 147 8.510
## 148 10.458
## 149 10.058
## 150 11.680
## 151 16.943
## 152 11.192
## 153 11.851
## 154 25.417
## 155 13.409
## 156 13.194
## 157 15.119
## 158 17.647
## 159 13.194
## 160 13.631
## 161 14.095
## 162 1.019
## 163 1.099
## 164 1.686
## 165 1.864
## 166 2.019
## 167 2.048
## 168 1.991
## 169 4.373
## 170 4.434
## 171 4.907
## 172 5.604
## 173 6.044
## 174 6.669
## 175 6.430
## 176 7.198
## 177 7.270
## 178 7.270
## 179 9.226
## 180 8.324
## 181 9.685
## 182 9.117
## 183 12.208
## 184 10.887
## 185 10.741
## 186 12.027
## 187 12.783
## 188 13.631
## 189 12.027
## 190 12.783
## 191 13.194
## 192 15.397
## 193 15.119
## 194 15.982
## 195 15.397
## 196 16.611
## 197 18.020
## 198 16.611
## 199 20.133
## 200 19.234
## 201 18.020
## 202 2.882
## 203 7.725
## 204 9.117
## 205 11.851
## 206 15.684
## 207 16.611
## 208 7.888##################################
# Formulating a data quality assessment summary for numeric predictors
##################################
if (length(names(DQA.Predictors.Numeric))>0) {
##################################
# Formulating a function to determine the first mode
##################################
FirstModes <- function(x) {
ux <- unique(na.omit(x))
tab <- tabulate(match(x, ux))
ux[tab == max(tab)]
}
##################################
# Formulating a function to determine the second mode
##################################
SecondModes <- function(x) {
ux <- unique(na.omit(x))
tab <- tabulate(match(x, ux))
fm = ux[tab == max(tab)]
sm = na.omit(x)[!(na.omit(x) %in% fm)]
usm <- unique(sm)
tabsm <- tabulate(match(sm, usm))
ifelse(is.na(usm[tabsm == max(tabsm)])==TRUE,
return(0.00001),
return(usm[tabsm == max(tabsm)]))
}
(DQA.Predictors.Numeric.Summary <- data.frame(
Column.Name= names(DQA.Predictors.Numeric),
Column.Type=sapply(DQA.Predictors.Numeric, function(x) class(x)),
Unique.Count=sapply(DQA.Predictors.Numeric, function(x) length(unique(x))),
Unique.Count.Ratio=sapply(DQA.Predictors.Numeric, function(x) format(round((length(unique(x))/nrow(DQA.Predictors.Numeric)),3), nsmall=3)),
First.Mode.Value=sapply(DQA.Predictors.Numeric, function(x) format(round((FirstModes(x)[1]),3),nsmall=3)),
Second.Mode.Value=sapply(DQA.Predictors.Numeric, function(x) format(round((SecondModes(x)[1]),3),nsmall=3)),
First.Mode.Count=sapply(DQA.Predictors.Numeric, function(x) sum(na.omit(x) == FirstModes(x)[1])),
Second.Mode.Count=sapply(DQA.Predictors.Numeric, function(x) sum(na.omit(x) == SecondModes(x)[1])),
First.Second.Mode.Ratio=sapply(DQA.Predictors.Numeric, function(x) format(round((sum(na.omit(x) == FirstModes(x)[1])/sum(na.omit(x) == SecondModes(x)[1])),3), nsmall=3)),
Minimum=sapply(DQA.Predictors.Numeric, function(x) format(round(min(x,na.rm = TRUE),3), nsmall=3)),
Mean=sapply(DQA.Predictors.Numeric, function(x) format(round(mean(x,na.rm = TRUE),3), nsmall=3)),
Median=sapply(DQA.Predictors.Numeric, function(x) format(round(median(x,na.rm = TRUE),3), nsmall=3)),
Maximum=sapply(DQA.Predictors.Numeric, function(x) format(round(max(x,na.rm = TRUE),3), nsmall=3)),
Skewness=sapply(DQA.Predictors.Numeric, function(x) format(round(skewness(x,na.rm = TRUE),3), nsmall=3)),
Kurtosis=sapply(DQA.Predictors.Numeric, function(x) format(round(kurtosis(x,na.rm = TRUE),3), nsmall=3)),
Percentile25th=sapply(DQA.Predictors.Numeric, function(x) format(round(quantile(x,probs=0.25,na.rm = TRUE),3), nsmall=3)),
Percentile75th=sapply(DQA.Predictors.Numeric, function(x) format(round(quantile(x,probs=0.75,na.rm = TRUE),3), nsmall=3)),
row.names=NULL)
)
}## Column.Name Column.Type Unique.Count Unique.Count.Ratio
## 1 MolWeight numeric 646 0.679
## 2 NumAtoms integer 66 0.069
## 3 NumNonHAtoms integer 36 0.038
## 4 NumBonds integer 72 0.076
## 5 NumNonHBonds integer 39 0.041
## 6 NumMultBonds integer 25 0.026
## 7 NumRotBonds integer 15 0.016
## 8 NumDblBonds integer 8 0.008
## 9 NumAromaticBonds integer 16 0.017
## 10 NumHydrogen integer 41 0.043
## 11 NumCarbon integer 28 0.029
## 12 NumNitrogen integer 7 0.007
## 13 NumOxygen integer 11 0.012
## 14 NumSulfer integer 5 0.005
## 15 NumChlorine integer 11 0.012
## 16 NumHalogen integer 11 0.012
## 17 NumRings integer 8 0.008
## 18 HydrophilicFactor numeric 369 0.388
## 19 SurfaceArea1 numeric 252 0.265
## 20 SurfaceArea2 numeric 287 0.302
## First.Mode.Value Second.Mode.Value First.Mode.Count Second.Mode.Count
## 1 102.200 116.230 16 14
## 2 22.000 24.000 73 51
## 3 8.000 11.000 104 73
## 4 23.000 19.000 69 56
## 5 8.000 7.000 82 66
## 6 0.000 7.000 158 122
## 7 0.000 1.000 272 186
## 8 0.000 1.000 427 268
## 9 0.000 6.000 400 302
## 10 12.000 8.000 83 79
## 11 6.000 7.000 105 97
## 12 0.000 1.000 546 191
## 13 0.000 2.000 325 218
## 14 0.000 1.000 830 96
## 15 0.000 1.000 750 81
## 16 0.000 1.000 685 107
## 17 1.000 0.000 323 260
## 18 -0.828 -0.158 21 20
## 19 0.000 20.230 218 76
## 20 0.000 20.230 211 75
## First.Second.Mode.Ratio Minimum Mean Median Maximum Skewness Kurtosis
## 1 1.143 46.090 201.654 179.230 665.810 0.988 3.945
## 2 1.431 5.000 25.507 22.000 94.000 1.364 5.523
## 3 1.425 2.000 13.161 12.000 47.000 0.993 4.129
## 4 1.232 4.000 25.909 23.000 97.000 1.360 5.408
## 5 1.242 1.000 13.563 12.000 50.000 0.969 3.842
## 6 1.295 0.000 6.148 6.000 25.000 0.670 3.053
## 7 1.462 0.000 2.251 2.000 16.000 1.577 6.437
## 8 1.593 0.000 1.006 1.000 7.000 1.360 4.760
## 9 1.325 0.000 5.121 6.000 25.000 0.796 3.241
## 10 1.051 0.000 12.346 11.000 47.000 1.262 5.261
## 11 1.082 1.000 9.893 9.000 33.000 0.927 3.616
## 12 2.859 0.000 0.813 0.000 6.000 1.554 4.831
## 13 1.491 0.000 1.574 1.000 13.000 1.772 8.494
## 14 8.646 0.000 0.164 0.000 4.000 3.842 21.526
## 15 9.259 0.000 0.556 0.000 10.000 3.178 13.780
## 16 6.402 0.000 0.698 0.000 10.000 2.691 10.808
## 17 1.242 0.000 1.402 1.000 7.000 1.034 3.875
## 18 1.050 -0.985 -0.021 -0.314 13.483 3.404 27.504
## 19 2.868 0.000 36.459 29.100 331.940 1.714 9.714
## 20 2.813 0.000 40.234 33.120 331.940 1.475 7.485
## Percentile25th Percentile75th
## 1 122.605 264.340
## 2 17.000 31.000
## 3 8.000 17.000
## 4 17.000 31.500
## 5 8.000 18.000
## 6 1.000 10.000
## 7 0.000 3.500
## 8 0.000 2.000
## 9 0.000 6.000
## 10 7.000 16.000
## 11 6.000 12.000
## 12 0.000 1.000
## 13 0.000 2.000
## 14 0.000 0.000
## 15 0.000 0.000
## 16 0.000 1.000
## 17 0.000 2.000
## 18 -0.763 0.313
## 19 9.230 53.280
## 20 10.630 60.660##################################
# Identifying potential data quality issues
##################################
##################################
# Checking for missing observations
##################################
if ((nrow(DQA.Summary[DQA.Summary$NA.Count>0,]))>0){
print(paste0("Missing observations noted for ",
(nrow(DQA.Summary[DQA.Summary$NA.Count>0,])),
" variable(s) with NA.Count>0 and Fill.Rate<1.0."))
DQA.Summary[DQA.Summary$NA.Count>0,]
} else {
print("No missing observations noted.")
}## [1] "No missing observations noted."##################################
# Checking for zero or near-zero variance predictors
##################################
if (length(names(DQA.Predictors.Factor))==0) {
print("No factor predictors noted.")
} else if (nrow(DQA.Predictors.Factor.Summary[as.numeric(as.character(DQA.Predictors.Factor.Summary$First.Second.Mode.Ratio))>5,])>0){
print(paste0("Low variance observed for ",
(nrow(DQA.Predictors.Factor.Summary[as.numeric(as.character(DQA.Predictors.Factor.Summary$First.Second.Mode.Ratio))>5,])),
" factor variable(s) with First.Second.Mode.Ratio>5."))
DQA.Predictors.Factor.Summary[as.numeric(as.character(DQA.Predictors.Factor.Summary$First.Second.Mode.Ratio))>5,]
} else {
print("No low variance factor predictors due to high first-second mode ratio noted.")
}## [1] "Low variance observed for 124 factor variable(s) with First.Second.Mode.Ratio>5."## Column.Name Column.Type Unique.Count First.Mode.Value Second.Mode.Value
## 13 FP013 factor 2 0 1
## 14 FP014 factor 2 0 1
## 15 FP015 factor 2 1 0
## 16 FP016 factor 2 0 1
## 17 FP017 factor 2 0 1
## 18 FP018 factor 2 0 1
## 19 FP019 factor 2 0 1
## 20 FP020 factor 2 0 1
## 21 FP021 factor 2 0 1
## 22 FP022 factor 2 0 1
## 23 FP023 factor 2 0 1
## 24 FP024 factor 2 0 1
## 25 FP025 factor 2 0 1
## 26 FP026 factor 2 0 1
## 27 FP027 factor 2 0 1
## 28 FP028 factor 2 0 1
## 29 FP029 factor 2 0 1
## 30 FP030 factor 2 0 1
## 31 FP031 factor 2 0 1
## 32 FP032 factor 2 0 1
## 33 FP033 factor 2 0 1
## 34 FP034 factor 2 0 1
## 35 FP035 factor 2 0 1
## 36 FP036 factor 2 0 1
## 37 FP037 factor 2 0 1
## 38 FP038 factor 2 0 1
## 39 FP039 factor 2 0 1
## 40 FP040 factor 2 0 1
## 41 FP041 factor 2 0 1
## 42 FP042 factor 2 0 1
## 43 FP043 factor 2 0 1
## 44 FP044 factor 2 0 1
## 45 FP045 factor 2 0 1
## 48 FP048 factor 2 0 1
## 49 FP049 factor 2 0 1
## 50 FP050 factor 2 0 1
## 51 FP051 factor 2 0 1
## 52 FP052 factor 2 0 1
## 53 FP053 factor 2 0 1
## 54 FP054 factor 2 0 1
## 55 FP055 factor 2 0 1
## 56 FP056 factor 2 0 1
## 57 FP057 factor 2 0 1
## 58 FP058 factor 2 0 1
## 59 FP059 factor 2 0 1
## 114 FP114 factor 2 0 1
## 119 FP119 factor 2 0 1
## 120 FP120 factor 2 0 1
## 121 FP121 factor 2 0 1
## 122 FP122 factor 2 0 1
## 124 FP124 factor 2 0 1
## 125 FP125 factor 2 0 1
## 126 FP126 factor 2 0 1
## 127 FP127 factor 2 0 1
## 128 FP128 factor 2 0 1
## 129 FP129 factor 2 0 1
## 130 FP130 factor 2 0 1
## 131 FP131 factor 2 0 1
## 132 FP132 factor 2 0 1
## 133 FP133 factor 2 0 1
## 134 FP134 factor 2 0 1
## 135 FP135 factor 2 0 1
## 136 FP136 factor 2 0 1
## 137 FP137 factor 2 0 1
## 138 FP138 factor 2 0 1
## 139 FP139 factor 2 0 1
## 140 FP140 factor 2 0 1
## 141 FP141 factor 2 0 1
## 142 FP142 factor 2 0 1
## 143 FP143 factor 2 0 1
## 144 FP144 factor 2 0 1
## 145 FP145 factor 2 0 1
## 146 FP146 factor 2 0 1
## 147 FP147 factor 2 0 1
## 148 FP148 factor 2 0 1
## 149 FP149 factor 2 0 1
## 150 FP150 factor 2 0 1
## 151 FP151 factor 2 0 1
## 152 FP152 factor 2 0 1
## 153 FP153 factor 2 0 1
## 154 FP154 factor 2 0 1
## 155 FP155 factor 2 0 1
## 156 FP156 factor 2 0 1
## 157 FP157 factor 2 0 1
## 158 FP158 factor 2 0 1
## 159 FP159 factor 2 0 1
## 160 FP160 factor 2 0 1
## 161 FP161 factor 2 0 1
## 172 FP172 factor 2 0 1
## 173 FP173 factor 2 0 1
## 174 FP174 factor 2 0 1
## 175 FP175 factor 2 0 1
## 176 FP176 factor 2 0 1
## 177 FP177 factor 2 0 1
## 178 FP178 factor 2 0 1
## 179 FP179 factor 2 0 1
## 180 FP180 factor 2 0 1
## 181 FP181 factor 2 0 1
## 182 FP182 factor 2 0 1
## 183 FP183 factor 2 0 1
## 184 FP184 factor 2 0 1
## 185 FP185 factor 2 0 1
## 186 FP186 factor 2 0 1
## 187 FP187 factor 2 0 1
## 188 FP188 factor 2 0 1
## 189 FP189 factor 2 0 1
## 190 FP190 factor 2 0 1
## 191 FP191 factor 2 0 1
## 192 FP192 factor 2 0 1
## 193 FP193 factor 2 0 1
## 194 FP194 factor 2 0 1
## 195 FP195 factor 2 0 1
## 196 FP196 factor 2 0 1
## 197 FP197 factor 2 0 1
## 198 FP198 factor 2 0 1
## 199 FP199 factor 2 0 1
## 200 FP200 factor 2 0 1
## 201 FP201 factor 2 0 1
## 203 FP203 factor 2 0 1
## 204 FP204 factor 2 0 1
## 205 FP205 factor 2 0 1
## 206 FP206 factor 2 0 1
## 207 FP207 factor 2 0 1
## 208 FP208 factor 2 0 1
## First.Mode.Count Second.Mode.Count Unique.Count.Ratio
## 13 793 158 0.002
## 14 798 153 0.002
## 15 818 133 0.002
## 16 812 139 0.002
## 17 814 137 0.002
## 18 826 125 0.002
## 19 835 116 0.002
## 20 837 114 0.002
## 21 836 115 0.002
## 22 852 99 0.002
## 23 834 117 0.002
## 24 844 107 0.002
## 25 841 110 0.002
## 26 871 80 0.002
## 27 858 93 0.002
## 28 850 101 0.002
## 29 854 97 0.002
## 30 862 89 0.002
## 31 866 85 0.002
## 32 881 70 0.002
## 33 885 66 0.002
## 34 875 76 0.002
## 35 882 69 0.002
## 36 879 72 0.002
## 37 884 67 0.002
## 38 869 82 0.002
## 39 880 71 0.002
## 40 886 65 0.002
## 41 891 60 0.002
## 42 897 54 0.002
## 43 888 63 0.002
## 44 894 57 0.002
## 45 898 53 0.002
## 48 833 118 0.002
## 49 835 116 0.002
## 50 844 107 0.002
## 51 847 104 0.002
## 52 864 87 0.002
## 53 862 89 0.002
## 54 879 72 0.002
## 55 900 51 0.002
## 56 889 62 0.002
## 57 837 114 0.002
## 58 843 108 0.002
## 59 899 52 0.002
## 114 803 148 0.002
## 119 796 155 0.002
## 120 793 158 0.002
## 121 818 133 0.002
## 122 795 156 0.002
## 124 797 154 0.002
## 125 803 148 0.002
## 126 810 141 0.002
## 127 818 133 0.002
## 128 810 141 0.002
## 129 819 132 0.002
## 130 851 100 0.002
## 131 831 120 0.002
## 132 832 119 0.002
## 133 831 120 0.002
## 134 830 121 0.002
## 135 831 120 0.002
## 136 836 115 0.002
## 137 841 110 0.002
## 138 845 106 0.002
## 139 873 78 0.002
## 140 845 106 0.002
## 141 840 111 0.002
## 142 847 104 0.002
## 143 874 77 0.002
## 144 852 99 0.002
## 145 852 99 0.002
## 146 853 98 0.002
## 147 851 100 0.002
## 148 868 83 0.002
## 149 865 86 0.002
## 150 876 75 0.002
## 151 898 53 0.002
## 152 873 78 0.002
## 153 877 74 0.002
## 154 915 36 0.002
## 155 885 66 0.002
## 156 884 67 0.002
## 157 892 59 0.002
## 158 900 51 0.002
## 159 884 67 0.002
## 160 886 65 0.002
## 161 888 63 0.002
## 172 807 144 0.002
## 173 816 135 0.002
## 174 827 124 0.002
## 175 823 128 0.002
## 176 835 116 0.002
## 177 836 115 0.002
## 178 836 115 0.002
## 179 858 93 0.002
## 180 849 102 0.002
## 181 862 89 0.002
## 182 857 94 0.002
## 183 879 72 0.002
## 184 871 80 0.002
## 185 870 81 0.002
## 186 878 73 0.002
## 187 882 69 0.002
## 188 886 65 0.002
## 189 878 73 0.002
## 190 882 69 0.002
## 191 884 67 0.002
## 192 893 58 0.002
## 193 892 59 0.002
## 194 895 56 0.002
## 195 893 58 0.002
## 196 897 54 0.002
## 197 901 50 0.002
## 198 897 54 0.002
## 199 906 45 0.002
## 200 904 47 0.002
## 201 901 50 0.002
## 203 842 109 0.002
## 204 857 94 0.002
## 205 877 74 0.002
## 206 894 57 0.002
## 207 897 54 0.002
## 208 844 107 0.002
## First.Second.Mode.Ratio
## 13 5.019
## 14 5.216
## 15 6.150
## 16 5.842
## 17 5.942
## 18 6.608
## 19 7.198
## 20 7.342
## 21 7.270
## 22 8.606
## 23 7.128
## 24 7.888
## 25 7.645
## 26 10.887
## 27 9.226
## 28 8.416
## 29 8.804
## 30 9.685
## 31 10.188
## 32 12.586
## 33 13.409
## 34 11.513
## 35 12.783
## 36 12.208
## 37 13.194
## 38 10.598
## 39 12.394
## 40 13.631
## 41 14.850
## 42 16.611
## 43 14.095
## 44 15.684
## 45 16.943
## 48 7.059
## 49 7.198
## 50 7.888
## 51 8.144
## 52 9.931
## 53 9.685
## 54 12.208
## 55 17.647
## 56 14.339
## 57 7.342
## 58 7.806
## 59 17.288
## 114 5.426
## 119 5.135
## 120 5.019
## 121 6.150
## 122 5.096
## 124 5.175
## 125 5.426
## 126 5.745
## 127 6.150
## 128 5.745
## 129 6.205
## 130 8.510
## 131 6.925
## 132 6.992
## 133 6.925
## 134 6.860
## 135 6.925
## 136 7.270
## 137 7.645
## 138 7.972
## 139 11.192
## 140 7.972
## 141 7.568
## 142 8.144
## 143 11.351
## 144 8.606
## 145 8.606
## 146 8.704
## 147 8.510
## 148 10.458
## 149 10.058
## 150 11.680
## 151 16.943
## 152 11.192
## 153 11.851
## 154 25.417
## 155 13.409
## 156 13.194
## 157 15.119
## 158 17.647
## 159 13.194
## 160 13.631
## 161 14.095
## 172 5.604
## 173 6.044
## 174 6.669
## 175 6.430
## 176 7.198
## 177 7.270
## 178 7.270
## 179 9.226
## 180 8.324
## 181 9.685
## 182 9.117
## 183 12.208
## 184 10.887
## 185 10.741
## 186 12.027
## 187 12.783
## 188 13.631
## 189 12.027
## 190 12.783
## 191 13.194
## 192 15.397
## 193 15.119
## 194 15.982
## 195 15.397
## 196 16.611
## 197 18.020
## 198 16.611
## 199 20.133
## 200 19.234
## 201 18.020
## 203 7.725
## 204 9.117
## 205 11.851
## 206 15.684
## 207 16.611
## 208 7.888if (length(names(DQA.Predictors.Numeric))==0) {
print("No numeric predictors noted.")
} else if (nrow(DQA.Predictors.Numeric.Summary[as.numeric(as.character(DQA.Predictors.Numeric.Summary$First.Second.Mode.Ratio))>5,])>0){
print(paste0("Low variance observed for ",
(nrow(DQA.Predictors.Numeric.Summary[as.numeric(as.character(DQA.Predictors.Numeric.Summary$First.Second.Mode.Ratio))>5,])),
" numeric variable(s) with First.Second.Mode.Ratio>5."))
DQA.Predictors.Numeric.Summary[as.numeric(as.character(DQA.Predictors.Numeric.Summary$First.Second.Mode.Ratio))>5,]
} else {
print("No low variance numeric predictors due to high first-second mode ratio noted.")
}## [1] "Low variance observed for 3 numeric variable(s) with First.Second.Mode.Ratio>5."## Column.Name Column.Type Unique.Count Unique.Count.Ratio First.Mode.Value
## 14 NumSulfer integer 5 0.005 0.000
## 15 NumChlorine integer 11 0.012 0.000
## 16 NumHalogen integer 11 0.012 0.000
## Second.Mode.Value First.Mode.Count Second.Mode.Count First.Second.Mode.Ratio
## 14 1.000 830 96 8.646
## 15 1.000 750 81 9.259
## 16 1.000 685 107 6.402
## Minimum Mean Median Maximum Skewness Kurtosis Percentile25th Percentile75th
## 14 0.000 0.164 0.000 4.000 3.842 21.526 0.000 0.000
## 15 0.000 0.556 0.000 10.000 3.178 13.780 0.000 0.000
## 16 0.000 0.698 0.000 10.000 2.691 10.808 0.000 1.000if (length(names(DQA.Predictors.Numeric))==0) {
print("No numeric predictors noted.")
} else if (nrow(DQA.Predictors.Numeric.Summary[as.numeric(as.character(DQA.Predictors.Numeric.Summary$Unique.Count.Ratio))<0.01,])>0){
print(paste0("Low variance observed for ",
(nrow(DQA.Predictors.Numeric.Summary[as.numeric(as.character(DQA.Predictors.Numeric.Summary$Unique.Count.Ratio))<0.01,])),
" numeric variable(s) with Unique.Count.Ratio<0.01."))
DQA.Predictors.Numeric.Summary[as.numeric(as.character(DQA.Predictors.Numeric.Summary$Unique.Count.Ratio))<0.01,]
} else {
print("No low variance numeric predictors due to low unique count ratio noted.")
}## [1] "Low variance observed for 4 numeric variable(s) with Unique.Count.Ratio<0.01."## Column.Name Column.Type Unique.Count Unique.Count.Ratio First.Mode.Value
## 8 NumDblBonds integer 8 0.008 0.000
## 12 NumNitrogen integer 7 0.007 0.000
## 14 NumSulfer integer 5 0.005 0.000
## 17 NumRings integer 8 0.008 1.000
## Second.Mode.Value First.Mode.Count Second.Mode.Count First.Second.Mode.Ratio
## 8 1.000 427 268 1.593
## 12 1.000 546 191 2.859
## 14 1.000 830 96 8.646
## 17 0.000 323 260 1.242
## Minimum Mean Median Maximum Skewness Kurtosis Percentile25th Percentile75th
## 8 0.000 1.006 1.000 7.000 1.360 4.760 0.000 2.000
## 12 0.000 0.813 0.000 6.000 1.554 4.831 0.000 1.000
## 14 0.000 0.164 0.000 4.000 3.842 21.526 0.000 0.000
## 17 0.000 1.402 1.000 7.000 1.034 3.875 0.000 2.000##################################
# Checking for skewed predictors
##################################
if (length(names(DQA.Predictors.Numeric))==0) {
print("No numeric predictors noted.")
} else if (nrow(DQA.Predictors.Numeric.Summary[as.numeric(as.character(DQA.Predictors.Numeric.Summary$Skewness))>3 |
as.numeric(as.character(DQA.Predictors.Numeric.Summary$Skewness))<(-3),])>0){
print(paste0("High skewness observed for ",
(nrow(DQA.Predictors.Numeric.Summary[as.numeric(as.character(DQA.Predictors.Numeric.Summary$Skewness))>3 |
as.numeric(as.character(DQA.Predictors.Numeric.Summary$Skewness))<(-3),])),
" numeric variable(s) with Skewness>3 or Skewness<(-3)."))
DQA.Predictors.Numeric.Summary[as.numeric(as.character(DQA.Predictors.Numeric.Summary$Skewness))>3 |
as.numeric(as.character(DQA.Predictors.Numeric.Summary$Skewness))<(-3),]
} else {
print("No skewed numeric predictors noted.")
}## [1] "High skewness observed for 3 numeric variable(s) with Skewness>3 or Skewness<(-3)."## Column.Name Column.Type Unique.Count Unique.Count.Ratio
## 14 NumSulfer integer 5 0.005
## 15 NumChlorine integer 11 0.012
## 18 HydrophilicFactor numeric 369 0.388
## First.Mode.Value Second.Mode.Value First.Mode.Count Second.Mode.Count
## 14 0.000 1.000 830 96
## 15 0.000 1.000 750 81
## 18 -0.828 -0.158 21 20
## First.Second.Mode.Ratio Minimum Mean Median Maximum Skewness Kurtosis
## 14 8.646 0.000 0.164 0.000 4.000 3.842 21.526
## 15 9.259 0.000 0.556 0.000 10.000 3.178 13.780
## 18 1.050 -0.985 -0.021 -0.314 13.483 3.404 27.504
## Percentile25th Percentile75th
## 14 0.000 0.000
## 15 0.000 0.000
## 18 -0.763 0.3131.3 Data Preprocessing
1.3.1 Outlier
[A] Outliers noted for 20 variables with the numeric data visualized through a boxplot including observations classified as suspected outliers using the IQR criterion. The IQR criterion means that all observations above the (75th percentile + 1.5 x IQR) or below the (25th percentile - 1.5 x IQR) are suspected outliers, where IQR is the difference between the third quartile (75th percentile) and first quartile (25th percentile). Outlier treatment for numerical stability remains optional depending on potential model requirements for the subsequent steps.
[A.1] MolWeight variable (8 outliers detected)
[A.2] NumAtoms variable (44 outliers detected)
[A.3] NumNonHAtoms variable (15 outliers detected)
[A.4] NumBonds variable (51 outliers detected)
[A.5] NumNonHBonds variable (18 outliers detected)
[A.6] NumMultBonds variable (6 outliers detected)
[A.7] NumRotBonds variable (23 outliers detected)
[A.8] NumDblBonds variable (3 outliers detected)
[A.9] NumAromaticBonds variable (35 outliers detected)
[A.10] NumHydrogen variable (32 outliers detected)
[A.11] NumCarbon variable (35 outliers detected)
[A.12] NumNitrogen variable (91 outliers detected)
[A.13] NumOxygen variable (36 outliers detected)
[A.14] NumSulfer variable (121 outliers detected)
[A.15] NumChlorine variable (201 outliers detected)
[A.16] NumHalogen variable (99 outliers detected)
[A.17] NumRings variable (4 outliers detected)
[A.18] HydrophilicFactor variable (53 outliers detected)
[A.19] SurfaceArea1 variable (19 outliers detected)
[A.20] SurfaceArea2 variable (12 outliers detected)
Code Chunk | Output
##################################
# Loading dataset
##################################
DPA <- Solubility_Train
##################################
# Listing all predictors
##################################
DPA.Predictors <- DPA[,!names(DPA) %in% c("Log_Solubility_Class")]
##################################
# Listing all numeric predictors
##################################
DPA.Predictors.Numeric <- DPA.Predictors[,-(grep("FP", names(DPA.Predictors)))]
##################################
# Identifying outliers for the numeric predictors
##################################
OutlierCountList <- c()
for (i in 1:ncol(DPA.Predictors.Numeric)) {
Outliers <- boxplot.stats(DPA.Predictors.Numeric[,i])$out
OutlierCount <- length(Outliers)
OutlierCountList <- append(OutlierCountList,OutlierCount)
OutlierIndices <- which(DPA.Predictors.Numeric[,i] %in% c(Outliers))
boxplot(DPA.Predictors.Numeric[,i],
ylab = names(DPA.Predictors.Numeric)[i],
main = names(DPA.Predictors.Numeric)[i],
horizontal=TRUE)
mtext(paste0(OutlierCount, " Outlier(s) Detected"))
}
OutlierCountSummary <- as.data.frame(cbind(names(DPA.Predictors.Numeric),(OutlierCountList)))
names(OutlierCountSummary) <- c("NumericPredictors","OutlierCount")
OutlierCountSummary$OutlierCount <- as.numeric(as.character(OutlierCountSummary$OutlierCount))
NumericPredictorWithOutlierCount <- nrow(OutlierCountSummary[OutlierCountSummary$OutlierCount>0,])
print(paste0(NumericPredictorWithOutlierCount, " numeric variable(s) were noted with outlier(s)." ))## [1] "20 numeric variable(s) were noted with outlier(s)."##################################
# Gathering descriptive statistics
##################################
(DPA_Skimmed <- skim(DPA.Predictors.Numeric))| Name | DPA.Predictors.Numeric |
| Number of rows | 951 |
| Number of columns | 20 |
| _______________________ | |
| Column type frequency: | |
| numeric | 20 |
| ________________________ | |
| Group variables | None |
Variable type: numeric
| skim_variable | n_missing | complete_rate | mean | sd | p0 | p25 | p50 | p75 | p100 | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| MolWeight | 0 | 1 | 201.65 | 97.91 | 46.09 | 122.60 | 179.23 | 264.34 | 665.81 | ▇▆▂▁▁ |
| NumAtoms | 0 | 1 | 25.51 | 12.61 | 5.00 | 17.00 | 22.00 | 31.00 | 94.00 | ▇▆▂▁▁ |
| NumNonHAtoms | 0 | 1 | 13.16 | 6.50 | 2.00 | 8.00 | 12.00 | 17.00 | 47.00 | ▇▆▂▁▁ |
| NumBonds | 0 | 1 | 25.91 | 13.48 | 4.00 | 17.00 | 23.00 | 31.50 | 97.00 | ▇▇▂▁▁ |
| NumNonHBonds | 0 | 1 | 13.56 | 7.57 | 1.00 | 8.00 | 12.00 | 18.00 | 50.00 | ▇▇▂▁▁ |
| NumMultBonds | 0 | 1 | 6.15 | 5.17 | 0.00 | 1.00 | 6.00 | 10.00 | 25.00 | ▇▆▃▁▁ |
| NumRotBonds | 0 | 1 | 2.25 | 2.41 | 0.00 | 0.00 | 2.00 | 3.50 | 16.00 | ▇▂▁▁▁ |
| NumDblBonds | 0 | 1 | 1.01 | 1.21 | 0.00 | 0.00 | 1.00 | 2.00 | 7.00 | ▇▂▁▁▁ |
| NumAromaticBonds | 0 | 1 | 5.12 | 5.26 | 0.00 | 0.00 | 6.00 | 6.00 | 25.00 | ▇▆▃▁▁ |
| NumHydrogen | 0 | 1 | 12.35 | 7.32 | 0.00 | 7.00 | 11.00 | 16.00 | 47.00 | ▇▇▂▁▁ |
| NumCarbon | 0 | 1 | 9.89 | 5.29 | 1.00 | 6.00 | 9.00 | 12.00 | 33.00 | ▇▇▃▁▁ |
| NumNitrogen | 0 | 1 | 0.81 | 1.19 | 0.00 | 0.00 | 0.00 | 1.00 | 6.00 | ▇▂▁▁▁ |
| NumOxygen | 0 | 1 | 1.57 | 1.73 | 0.00 | 0.00 | 1.00 | 2.00 | 13.00 | ▇▂▁▁▁ |
| NumSulfer | 0 | 1 | 0.16 | 0.49 | 0.00 | 0.00 | 0.00 | 0.00 | 4.00 | ▇▁▁▁▁ |
| NumChlorine | 0 | 1 | 0.56 | 1.40 | 0.00 | 0.00 | 0.00 | 0.00 | 10.00 | ▇▁▁▁▁ |
| NumHalogen | 0 | 1 | 0.70 | 1.47 | 0.00 | 0.00 | 0.00 | 1.00 | 10.00 | ▇▁▁▁▁ |
| NumRings | 0 | 1 | 1.40 | 1.30 | 0.00 | 0.00 | 1.00 | 2.00 | 7.00 | ▇▃▂▁▁ |
| HydrophilicFactor | 0 | 1 | -0.02 | 1.13 | -0.98 | -0.76 | -0.31 | 0.31 | 13.48 | ▇▁▁▁▁ |
| SurfaceArea1 | 0 | 1 | 36.46 | 35.29 | 0.00 | 9.23 | 29.10 | 53.28 | 331.94 | ▇▂▁▁▁ |
| SurfaceArea2 | 0 | 1 | 40.23 | 38.12 | 0.00 | 10.63 | 33.12 | 60.66 | 331.94 | ▇▂▁▁▁ |
###################################
# Verifying the data dimensions
###################################
dim(DPA.Predictors.Numeric)## [1] 951 201.3.2 Zero and Near-Zero Variance
[A] Low variance noted for 127 variables from the previous data quality assessment using a lower threshold.
[B] Low variance noted for 3 variables using a preprocessing summary from the caret package. The nearZeroVar method using both the freqCut and uniqueCut criteria set at 95/5 and 10, respectively, were applied on the dataset.
[B.1] FP154 variable (factor)
[B.2] FP199 variable (factor)
[B.3] FP200 variable (factor)
Code Chunk | Output
##################################
# Loading dataset
##################################
DPA <- Solubility_Train
##################################
# Gathering descriptive statistics
##################################
(DPA_Skimmed <- skim(DPA))| Name | DPA |
| Number of rows | 951 |
| Number of columns | 229 |
| _______________________ | |
| Column type frequency: | |
| factor | 1 |
| numeric | 228 |
| ________________________ | |
| Group variables | None |
Variable type: factor
| skim_variable | n_missing | complete_rate | ordered | n_unique | top_counts |
|---|---|---|---|---|---|
| Log_Solubility_Class | 0 | 1 | FALSE | 2 | Hig: 524, Low: 427 |
Variable type: numeric
| skim_variable | n_missing | complete_rate | mean | sd | p0 | p25 | p50 | p75 | p100 | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| FP001 | 0 | 1 | 0.49 | 0.50 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▇ |
| FP002 | 0 | 1 | 0.54 | 0.50 | 0.00 | 0.00 | 1.00 | 1.00 | 1.00 | ▇▁▁▁▇ |
| FP003 | 0 | 1 | 0.44 | 0.50 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▆ |
| FP004 | 0 | 1 | 0.58 | 0.49 | 0.00 | 0.00 | 1.00 | 1.00 | 1.00 | ▆▁▁▁▇ |
| FP005 | 0 | 1 | 0.58 | 0.49 | 0.00 | 0.00 | 1.00 | 1.00 | 1.00 | ▆▁▁▁▇ |
| FP006 | 0 | 1 | 0.40 | 0.49 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▆ |
| FP007 | 0 | 1 | 0.36 | 0.48 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▅ |
| FP008 | 0 | 1 | 0.33 | 0.47 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▃ |
| FP009 | 0 | 1 | 0.28 | 0.45 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▃ |
| FP010 | 0 | 1 | 0.18 | 0.38 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP011 | 0 | 1 | 0.21 | 0.41 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP012 | 0 | 1 | 0.18 | 0.38 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP013 | 0 | 1 | 0.17 | 0.37 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP014 | 0 | 1 | 0.16 | 0.37 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP015 | 0 | 1 | 0.86 | 0.35 | 0.00 | 1.00 | 1.00 | 1.00 | 1.00 | ▁▁▁▁▇ |
| FP016 | 0 | 1 | 0.15 | 0.35 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP017 | 0 | 1 | 0.14 | 0.35 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP018 | 0 | 1 | 0.13 | 0.34 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP019 | 0 | 1 | 0.12 | 0.33 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP020 | 0 | 1 | 0.12 | 0.32 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP021 | 0 | 1 | 0.12 | 0.33 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP022 | 0 | 1 | 0.10 | 0.31 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP023 | 0 | 1 | 0.12 | 0.33 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP024 | 0 | 1 | 0.11 | 0.32 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP025 | 0 | 1 | 0.12 | 0.32 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP026 | 0 | 1 | 0.08 | 0.28 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP027 | 0 | 1 | 0.10 | 0.30 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP028 | 0 | 1 | 0.11 | 0.31 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP029 | 0 | 1 | 0.10 | 0.30 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP030 | 0 | 1 | 0.09 | 0.29 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP031 | 0 | 1 | 0.09 | 0.29 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP032 | 0 | 1 | 0.07 | 0.26 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP033 | 0 | 1 | 0.07 | 0.25 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP034 | 0 | 1 | 0.08 | 0.27 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP035 | 0 | 1 | 0.07 | 0.26 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP036 | 0 | 1 | 0.08 | 0.26 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP037 | 0 | 1 | 0.07 | 0.26 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP038 | 0 | 1 | 0.09 | 0.28 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP039 | 0 | 1 | 0.07 | 0.26 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP040 | 0 | 1 | 0.07 | 0.25 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP041 | 0 | 1 | 0.06 | 0.24 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP042 | 0 | 1 | 0.06 | 0.23 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP043 | 0 | 1 | 0.07 | 0.25 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP044 | 0 | 1 | 0.06 | 0.24 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP045 | 0 | 1 | 0.06 | 0.23 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP046 | 0 | 1 | 0.32 | 0.46 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▃ |
| FP047 | 0 | 1 | 0.27 | 0.44 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▃ |
| FP048 | 0 | 1 | 0.12 | 0.33 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP049 | 0 | 1 | 0.12 | 0.33 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP050 | 0 | 1 | 0.11 | 0.32 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP051 | 0 | 1 | 0.11 | 0.31 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP052 | 0 | 1 | 0.09 | 0.29 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP053 | 0 | 1 | 0.09 | 0.29 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP054 | 0 | 1 | 0.08 | 0.26 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP055 | 0 | 1 | 0.05 | 0.23 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP056 | 0 | 1 | 0.07 | 0.25 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP057 | 0 | 1 | 0.12 | 0.32 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP058 | 0 | 1 | 0.11 | 0.32 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP059 | 0 | 1 | 0.05 | 0.23 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP060 | 0 | 1 | 0.48 | 0.50 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▇ |
| FP061 | 0 | 1 | 0.45 | 0.50 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▆ |
| FP062 | 0 | 1 | 0.44 | 0.50 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▆ |
| FP063 | 0 | 1 | 0.43 | 0.49 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▆ |
| FP064 | 0 | 1 | 0.42 | 0.49 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▆ |
| FP065 | 0 | 1 | 0.59 | 0.49 | 0.00 | 0.00 | 1.00 | 1.00 | 1.00 | ▆▁▁▁▇ |
| FP066 | 0 | 1 | 0.61 | 0.49 | 0.00 | 0.00 | 1.00 | 1.00 | 1.00 | ▅▁▁▁▇ |
| FP067 | 0 | 1 | 0.38 | 0.49 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▅ |
| FP068 | 0 | 1 | 0.36 | 0.48 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▅ |
| FP069 | 0 | 1 | 0.36 | 0.48 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▅ |
| FP070 | 0 | 1 | 0.36 | 0.48 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▅ |
| FP071 | 0 | 1 | 0.33 | 0.47 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▃ |
| FP072 | 0 | 1 | 0.66 | 0.47 | 0.00 | 0.00 | 1.00 | 1.00 | 1.00 | ▅▁▁▁▇ |
| FP073 | 0 | 1 | 0.31 | 0.46 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▃ |
| FP074 | 0 | 1 | 0.32 | 0.47 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▃ |
| FP075 | 0 | 1 | 0.34 | 0.47 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▅ |
| FP076 | 0 | 1 | 0.33 | 0.47 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▃ |
| FP077 | 0 | 1 | 0.32 | 0.47 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▃ |
| FP078 | 0 | 1 | 0.30 | 0.46 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▃ |
| FP079 | 0 | 1 | 0.69 | 0.46 | 0.00 | 0.00 | 1.00 | 1.00 | 1.00 | ▃▁▁▁▇ |
| FP080 | 0 | 1 | 0.30 | 0.46 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▃ |
| FP081 | 0 | 1 | 0.28 | 0.45 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▃ |
| FP082 | 0 | 1 | 0.71 | 0.45 | 0.00 | 0.00 | 1.00 | 1.00 | 1.00 | ▃▁▁▁▇ |
| FP083 | 0 | 1 | 0.27 | 0.45 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▃ |
| FP084 | 0 | 1 | 0.29 | 0.45 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▃ |
| FP085 | 0 | 1 | 0.26 | 0.44 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▃ |
| FP086 | 0 | 1 | 0.27 | 0.44 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▃ |
| FP087 | 0 | 1 | 0.73 | 0.45 | 0.00 | 0.00 | 1.00 | 1.00 | 1.00 | ▃▁▁▁▇ |
| FP088 | 0 | 1 | 0.26 | 0.44 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▃ |
| FP089 | 0 | 1 | 0.25 | 0.43 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP090 | 0 | 1 | 0.25 | 0.43 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP091 | 0 | 1 | 0.23 | 0.42 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP092 | 0 | 1 | 0.24 | 0.43 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP093 | 0 | 1 | 0.24 | 0.43 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP094 | 0 | 1 | 0.23 | 0.42 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP095 | 0 | 1 | 0.22 | 0.41 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP096 | 0 | 1 | 0.22 | 0.41 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP097 | 0 | 1 | 0.24 | 0.42 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP098 | 0 | 1 | 0.24 | 0.43 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP099 | 0 | 1 | 0.23 | 0.42 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP100 | 0 | 1 | 0.23 | 0.42 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP101 | 0 | 1 | 0.24 | 0.43 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP102 | 0 | 1 | 0.20 | 0.40 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP103 | 0 | 1 | 0.22 | 0.41 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP104 | 0 | 1 | 0.22 | 0.42 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP105 | 0 | 1 | 0.22 | 0.41 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP106 | 0 | 1 | 0.19 | 0.39 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP107 | 0 | 1 | 0.21 | 0.41 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP108 | 0 | 1 | 0.21 | 0.40 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP109 | 0 | 1 | 0.18 | 0.38 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP110 | 0 | 1 | 0.21 | 0.40 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP111 | 0 | 1 | 0.20 | 0.40 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP112 | 0 | 1 | 0.19 | 0.40 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP113 | 0 | 1 | 0.20 | 0.40 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP114 | 0 | 1 | 0.16 | 0.36 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP115 | 0 | 1 | 0.18 | 0.38 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP116 | 0 | 1 | 0.19 | 0.39 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP117 | 0 | 1 | 0.18 | 0.38 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP118 | 0 | 1 | 0.19 | 0.39 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP119 | 0 | 1 | 0.16 | 0.37 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP120 | 0 | 1 | 0.17 | 0.37 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP121 | 0 | 1 | 0.14 | 0.35 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP122 | 0 | 1 | 0.16 | 0.37 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP123 | 0 | 1 | 0.17 | 0.37 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP124 | 0 | 1 | 0.16 | 0.37 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP125 | 0 | 1 | 0.16 | 0.36 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP126 | 0 | 1 | 0.15 | 0.36 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP127 | 0 | 1 | 0.14 | 0.35 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP128 | 0 | 1 | 0.15 | 0.36 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP129 | 0 | 1 | 0.14 | 0.35 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP130 | 0 | 1 | 0.11 | 0.31 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP131 | 0 | 1 | 0.13 | 0.33 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP132 | 0 | 1 | 0.13 | 0.33 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP133 | 0 | 1 | 0.13 | 0.33 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP134 | 0 | 1 | 0.13 | 0.33 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP135 | 0 | 1 | 0.13 | 0.33 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP136 | 0 | 1 | 0.12 | 0.33 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP137 | 0 | 1 | 0.12 | 0.32 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP138 | 0 | 1 | 0.11 | 0.31 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP139 | 0 | 1 | 0.08 | 0.27 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP140 | 0 | 1 | 0.11 | 0.31 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP141 | 0 | 1 | 0.12 | 0.32 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP142 | 0 | 1 | 0.11 | 0.31 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP143 | 0 | 1 | 0.08 | 0.27 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP144 | 0 | 1 | 0.10 | 0.31 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP145 | 0 | 1 | 0.10 | 0.31 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP146 | 0 | 1 | 0.10 | 0.30 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP147 | 0 | 1 | 0.11 | 0.31 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP148 | 0 | 1 | 0.09 | 0.28 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP149 | 0 | 1 | 0.09 | 0.29 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP150 | 0 | 1 | 0.08 | 0.27 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP151 | 0 | 1 | 0.06 | 0.23 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP152 | 0 | 1 | 0.08 | 0.27 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP153 | 0 | 1 | 0.08 | 0.27 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP154 | 0 | 1 | 0.04 | 0.19 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP155 | 0 | 1 | 0.07 | 0.25 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP156 | 0 | 1 | 0.07 | 0.26 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP157 | 0 | 1 | 0.06 | 0.24 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP158 | 0 | 1 | 0.05 | 0.23 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP159 | 0 | 1 | 0.07 | 0.26 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP160 | 0 | 1 | 0.07 | 0.25 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP161 | 0 | 1 | 0.07 | 0.25 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP162 | 0 | 1 | 0.50 | 0.50 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▇ |
| FP163 | 0 | 1 | 0.48 | 0.50 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▇ |
| FP164 | 0 | 1 | 0.63 | 0.48 | 0.00 | 0.00 | 1.00 | 1.00 | 1.00 | ▅▁▁▁▇ |
| FP165 | 0 | 1 | 0.35 | 0.48 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▅ |
| FP166 | 0 | 1 | 0.33 | 0.47 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▃ |
| FP167 | 0 | 1 | 0.33 | 0.47 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▃ |
| FP168 | 0 | 1 | 0.67 | 0.47 | 0.00 | 0.00 | 1.00 | 1.00 | 1.00 | ▅▁▁▁▇ |
| FP169 | 0 | 1 | 0.19 | 0.39 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP170 | 0 | 1 | 0.18 | 0.39 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP171 | 0 | 1 | 0.17 | 0.38 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP172 | 0 | 1 | 0.15 | 0.36 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP173 | 0 | 1 | 0.14 | 0.35 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP174 | 0 | 1 | 0.13 | 0.34 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP175 | 0 | 1 | 0.13 | 0.34 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP176 | 0 | 1 | 0.12 | 0.33 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP177 | 0 | 1 | 0.12 | 0.33 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP178 | 0 | 1 | 0.12 | 0.33 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP179 | 0 | 1 | 0.10 | 0.30 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP180 | 0 | 1 | 0.11 | 0.31 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP181 | 0 | 1 | 0.09 | 0.29 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP182 | 0 | 1 | 0.10 | 0.30 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP183 | 0 | 1 | 0.08 | 0.26 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP184 | 0 | 1 | 0.08 | 0.28 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP185 | 0 | 1 | 0.09 | 0.28 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP186 | 0 | 1 | 0.08 | 0.27 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP187 | 0 | 1 | 0.07 | 0.26 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP188 | 0 | 1 | 0.07 | 0.25 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP189 | 0 | 1 | 0.08 | 0.27 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP190 | 0 | 1 | 0.07 | 0.26 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP191 | 0 | 1 | 0.07 | 0.26 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP192 | 0 | 1 | 0.06 | 0.24 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP193 | 0 | 1 | 0.06 | 0.24 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP194 | 0 | 1 | 0.06 | 0.24 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP195 | 0 | 1 | 0.06 | 0.24 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP196 | 0 | 1 | 0.06 | 0.23 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP197 | 0 | 1 | 0.05 | 0.22 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP198 | 0 | 1 | 0.06 | 0.23 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP199 | 0 | 1 | 0.05 | 0.21 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP200 | 0 | 1 | 0.05 | 0.22 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP201 | 0 | 1 | 0.05 | 0.22 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP202 | 0 | 1 | 0.26 | 0.44 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▃ |
| FP203 | 0 | 1 | 0.11 | 0.32 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP204 | 0 | 1 | 0.10 | 0.30 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP205 | 0 | 1 | 0.08 | 0.27 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP206 | 0 | 1 | 0.06 | 0.24 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP207 | 0 | 1 | 0.06 | 0.23 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP208 | 0 | 1 | 0.11 | 0.32 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| MolWeight | 0 | 1 | 201.65 | 97.91 | 46.09 | 122.60 | 179.23 | 264.34 | 665.81 | ▇▆▂▁▁ |
| NumAtoms | 0 | 1 | 25.51 | 12.61 | 5.00 | 17.00 | 22.00 | 31.00 | 94.00 | ▇▆▂▁▁ |
| NumNonHAtoms | 0 | 1 | 13.16 | 6.50 | 2.00 | 8.00 | 12.00 | 17.00 | 47.00 | ▇▆▂▁▁ |
| NumBonds | 0 | 1 | 25.91 | 13.48 | 4.00 | 17.00 | 23.00 | 31.50 | 97.00 | ▇▇▂▁▁ |
| NumNonHBonds | 0 | 1 | 13.56 | 7.57 | 1.00 | 8.00 | 12.00 | 18.00 | 50.00 | ▇▇▂▁▁ |
| NumMultBonds | 0 | 1 | 6.15 | 5.17 | 0.00 | 1.00 | 6.00 | 10.00 | 25.00 | ▇▆▃▁▁ |
| NumRotBonds | 0 | 1 | 2.25 | 2.41 | 0.00 | 0.00 | 2.00 | 3.50 | 16.00 | ▇▂▁▁▁ |
| NumDblBonds | 0 | 1 | 1.01 | 1.21 | 0.00 | 0.00 | 1.00 | 2.00 | 7.00 | ▇▂▁▁▁ |
| NumAromaticBonds | 0 | 1 | 5.12 | 5.26 | 0.00 | 0.00 | 6.00 | 6.00 | 25.00 | ▇▆▃▁▁ |
| NumHydrogen | 0 | 1 | 12.35 | 7.32 | 0.00 | 7.00 | 11.00 | 16.00 | 47.00 | ▇▇▂▁▁ |
| NumCarbon | 0 | 1 | 9.89 | 5.29 | 1.00 | 6.00 | 9.00 | 12.00 | 33.00 | ▇▇▃▁▁ |
| NumNitrogen | 0 | 1 | 0.81 | 1.19 | 0.00 | 0.00 | 0.00 | 1.00 | 6.00 | ▇▂▁▁▁ |
| NumOxygen | 0 | 1 | 1.57 | 1.73 | 0.00 | 0.00 | 1.00 | 2.00 | 13.00 | ▇▂▁▁▁ |
| NumSulfer | 0 | 1 | 0.16 | 0.49 | 0.00 | 0.00 | 0.00 | 0.00 | 4.00 | ▇▁▁▁▁ |
| NumChlorine | 0 | 1 | 0.56 | 1.40 | 0.00 | 0.00 | 0.00 | 0.00 | 10.00 | ▇▁▁▁▁ |
| NumHalogen | 0 | 1 | 0.70 | 1.47 | 0.00 | 0.00 | 0.00 | 1.00 | 10.00 | ▇▁▁▁▁ |
| NumRings | 0 | 1 | 1.40 | 1.30 | 0.00 | 0.00 | 1.00 | 2.00 | 7.00 | ▇▃▂▁▁ |
| HydrophilicFactor | 0 | 1 | -0.02 | 1.13 | -0.98 | -0.76 | -0.31 | 0.31 | 13.48 | ▇▁▁▁▁ |
| SurfaceArea1 | 0 | 1 | 36.46 | 35.29 | 0.00 | 9.23 | 29.10 | 53.28 | 331.94 | ▇▂▁▁▁ |
| SurfaceArea2 | 0 | 1 | 40.23 | 38.12 | 0.00 | 10.63 | 33.12 | 60.66 | 331.94 | ▇▂▁▁▁ |
##################################
# Identifying columns with low variance
###################################
DPA_LowVariance <- nearZeroVar(DPA,
freqCut = 95/5,
uniqueCut = 10,
saveMetrics= TRUE)
(DPA_LowVariance[DPA_LowVariance$nzv,])## freqRatio percentUnique zeroVar nzv
## FP154 25.41667 0.2103049 FALSE TRUE
## FP199 20.13333 0.2103049 FALSE TRUE
## FP200 19.23404 0.2103049 FALSE TRUEif ((nrow(DPA_LowVariance[DPA_LowVariance$nzv,]))==0){
print("No low variance predictors noted.")
} else {
print(paste0("Low variance observed for ",
(nrow(DPA_LowVariance[DPA_LowVariance$nzv,])),
" numeric variable(s) with First.Second.Mode.Ratio>4 and Unique.Count.Ratio<0.10."))
DPA_LowVarianceForRemoval <- (nrow(DPA_LowVariance[DPA_LowVariance$nzv,]))
print(paste0("Low variance can be resolved by removing ",
(nrow(DPA_LowVariance[DPA_LowVariance$nzv,])),
" numeric variable(s)."))
for (j in 1:DPA_LowVarianceForRemoval) {
DPA_LowVarianceRemovedVariable <- rownames(DPA_LowVariance[DPA_LowVariance$nzv,])[j]
print(paste0("Variable ",
j,
" for removal: ",
DPA_LowVarianceRemovedVariable))
}
DPA %>%
skim() %>%
dplyr::filter(skim_variable %in% rownames(DPA_LowVariance[DPA_LowVariance$nzv,]))
##################################
# Filtering out columns with low variance
#################################
DPA_ExcludedLowVariance <- DPA[,!names(DPA) %in% rownames(DPA_LowVariance[DPA_LowVariance$nzv,])]
##################################
# Gathering descriptive statistics
##################################
(DPA_ExcludedLowVariance_Skimmed <- skim(DPA_ExcludedLowVariance))
}## [1] "Low variance observed for 3 numeric variable(s) with First.Second.Mode.Ratio>4 and Unique.Count.Ratio<0.10."
## [1] "Low variance can be resolved by removing 3 numeric variable(s)."
## [1] "Variable 1 for removal: FP154"
## [1] "Variable 2 for removal: FP199"
## [1] "Variable 3 for removal: FP200"| Name | DPA_ExcludedLowVariance |
| Number of rows | 951 |
| Number of columns | 226 |
| _______________________ | |
| Column type frequency: | |
| factor | 1 |
| numeric | 225 |
| ________________________ | |
| Group variables | None |
Variable type: factor
| skim_variable | n_missing | complete_rate | ordered | n_unique | top_counts |
|---|---|---|---|---|---|
| Log_Solubility_Class | 0 | 1 | FALSE | 2 | Hig: 524, Low: 427 |
Variable type: numeric
| skim_variable | n_missing | complete_rate | mean | sd | p0 | p25 | p50 | p75 | p100 | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| FP001 | 0 | 1 | 0.49 | 0.50 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▇ |
| FP002 | 0 | 1 | 0.54 | 0.50 | 0.00 | 0.00 | 1.00 | 1.00 | 1.00 | ▇▁▁▁▇ |
| FP003 | 0 | 1 | 0.44 | 0.50 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▆ |
| FP004 | 0 | 1 | 0.58 | 0.49 | 0.00 | 0.00 | 1.00 | 1.00 | 1.00 | ▆▁▁▁▇ |
| FP005 | 0 | 1 | 0.58 | 0.49 | 0.00 | 0.00 | 1.00 | 1.00 | 1.00 | ▆▁▁▁▇ |
| FP006 | 0 | 1 | 0.40 | 0.49 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▆ |
| FP007 | 0 | 1 | 0.36 | 0.48 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▅ |
| FP008 | 0 | 1 | 0.33 | 0.47 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▃ |
| FP009 | 0 | 1 | 0.28 | 0.45 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▃ |
| FP010 | 0 | 1 | 0.18 | 0.38 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP011 | 0 | 1 | 0.21 | 0.41 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP012 | 0 | 1 | 0.18 | 0.38 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP013 | 0 | 1 | 0.17 | 0.37 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP014 | 0 | 1 | 0.16 | 0.37 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP015 | 0 | 1 | 0.86 | 0.35 | 0.00 | 1.00 | 1.00 | 1.00 | 1.00 | ▁▁▁▁▇ |
| FP016 | 0 | 1 | 0.15 | 0.35 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP017 | 0 | 1 | 0.14 | 0.35 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP018 | 0 | 1 | 0.13 | 0.34 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP019 | 0 | 1 | 0.12 | 0.33 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP020 | 0 | 1 | 0.12 | 0.32 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP021 | 0 | 1 | 0.12 | 0.33 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP022 | 0 | 1 | 0.10 | 0.31 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP023 | 0 | 1 | 0.12 | 0.33 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP024 | 0 | 1 | 0.11 | 0.32 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP025 | 0 | 1 | 0.12 | 0.32 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP026 | 0 | 1 | 0.08 | 0.28 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP027 | 0 | 1 | 0.10 | 0.30 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP028 | 0 | 1 | 0.11 | 0.31 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP029 | 0 | 1 | 0.10 | 0.30 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP030 | 0 | 1 | 0.09 | 0.29 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP031 | 0 | 1 | 0.09 | 0.29 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP032 | 0 | 1 | 0.07 | 0.26 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP033 | 0 | 1 | 0.07 | 0.25 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP034 | 0 | 1 | 0.08 | 0.27 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP035 | 0 | 1 | 0.07 | 0.26 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP036 | 0 | 1 | 0.08 | 0.26 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP037 | 0 | 1 | 0.07 | 0.26 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP038 | 0 | 1 | 0.09 | 0.28 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP039 | 0 | 1 | 0.07 | 0.26 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP040 | 0 | 1 | 0.07 | 0.25 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP041 | 0 | 1 | 0.06 | 0.24 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP042 | 0 | 1 | 0.06 | 0.23 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP043 | 0 | 1 | 0.07 | 0.25 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP044 | 0 | 1 | 0.06 | 0.24 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP045 | 0 | 1 | 0.06 | 0.23 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP046 | 0 | 1 | 0.32 | 0.46 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▃ |
| FP047 | 0 | 1 | 0.27 | 0.44 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▃ |
| FP048 | 0 | 1 | 0.12 | 0.33 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP049 | 0 | 1 | 0.12 | 0.33 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP050 | 0 | 1 | 0.11 | 0.32 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP051 | 0 | 1 | 0.11 | 0.31 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP052 | 0 | 1 | 0.09 | 0.29 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP053 | 0 | 1 | 0.09 | 0.29 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP054 | 0 | 1 | 0.08 | 0.26 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP055 | 0 | 1 | 0.05 | 0.23 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP056 | 0 | 1 | 0.07 | 0.25 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP057 | 0 | 1 | 0.12 | 0.32 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP058 | 0 | 1 | 0.11 | 0.32 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP059 | 0 | 1 | 0.05 | 0.23 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP060 | 0 | 1 | 0.48 | 0.50 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▇ |
| FP061 | 0 | 1 | 0.45 | 0.50 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▆ |
| FP062 | 0 | 1 | 0.44 | 0.50 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▆ |
| FP063 | 0 | 1 | 0.43 | 0.49 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▆ |
| FP064 | 0 | 1 | 0.42 | 0.49 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▆ |
| FP065 | 0 | 1 | 0.59 | 0.49 | 0.00 | 0.00 | 1.00 | 1.00 | 1.00 | ▆▁▁▁▇ |
| FP066 | 0 | 1 | 0.61 | 0.49 | 0.00 | 0.00 | 1.00 | 1.00 | 1.00 | ▅▁▁▁▇ |
| FP067 | 0 | 1 | 0.38 | 0.49 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▅ |
| FP068 | 0 | 1 | 0.36 | 0.48 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▅ |
| FP069 | 0 | 1 | 0.36 | 0.48 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▅ |
| FP070 | 0 | 1 | 0.36 | 0.48 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▅ |
| FP071 | 0 | 1 | 0.33 | 0.47 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▃ |
| FP072 | 0 | 1 | 0.66 | 0.47 | 0.00 | 0.00 | 1.00 | 1.00 | 1.00 | ▅▁▁▁▇ |
| FP073 | 0 | 1 | 0.31 | 0.46 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▃ |
| FP074 | 0 | 1 | 0.32 | 0.47 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▃ |
| FP075 | 0 | 1 | 0.34 | 0.47 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▅ |
| FP076 | 0 | 1 | 0.33 | 0.47 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▃ |
| FP077 | 0 | 1 | 0.32 | 0.47 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▃ |
| FP078 | 0 | 1 | 0.30 | 0.46 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▃ |
| FP079 | 0 | 1 | 0.69 | 0.46 | 0.00 | 0.00 | 1.00 | 1.00 | 1.00 | ▃▁▁▁▇ |
| FP080 | 0 | 1 | 0.30 | 0.46 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▃ |
| FP081 | 0 | 1 | 0.28 | 0.45 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▃ |
| FP082 | 0 | 1 | 0.71 | 0.45 | 0.00 | 0.00 | 1.00 | 1.00 | 1.00 | ▃▁▁▁▇ |
| FP083 | 0 | 1 | 0.27 | 0.45 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▃ |
| FP084 | 0 | 1 | 0.29 | 0.45 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▃ |
| FP085 | 0 | 1 | 0.26 | 0.44 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▃ |
| FP086 | 0 | 1 | 0.27 | 0.44 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▃ |
| FP087 | 0 | 1 | 0.73 | 0.45 | 0.00 | 0.00 | 1.00 | 1.00 | 1.00 | ▃▁▁▁▇ |
| FP088 | 0 | 1 | 0.26 | 0.44 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▃ |
| FP089 | 0 | 1 | 0.25 | 0.43 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP090 | 0 | 1 | 0.25 | 0.43 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP091 | 0 | 1 | 0.23 | 0.42 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP092 | 0 | 1 | 0.24 | 0.43 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP093 | 0 | 1 | 0.24 | 0.43 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP094 | 0 | 1 | 0.23 | 0.42 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP095 | 0 | 1 | 0.22 | 0.41 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP096 | 0 | 1 | 0.22 | 0.41 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP097 | 0 | 1 | 0.24 | 0.42 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP098 | 0 | 1 | 0.24 | 0.43 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP099 | 0 | 1 | 0.23 | 0.42 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP100 | 0 | 1 | 0.23 | 0.42 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP101 | 0 | 1 | 0.24 | 0.43 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP102 | 0 | 1 | 0.20 | 0.40 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP103 | 0 | 1 | 0.22 | 0.41 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP104 | 0 | 1 | 0.22 | 0.42 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP105 | 0 | 1 | 0.22 | 0.41 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP106 | 0 | 1 | 0.19 | 0.39 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP107 | 0 | 1 | 0.21 | 0.41 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP108 | 0 | 1 | 0.21 | 0.40 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP109 | 0 | 1 | 0.18 | 0.38 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP110 | 0 | 1 | 0.21 | 0.40 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP111 | 0 | 1 | 0.20 | 0.40 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP112 | 0 | 1 | 0.19 | 0.40 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP113 | 0 | 1 | 0.20 | 0.40 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP114 | 0 | 1 | 0.16 | 0.36 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP115 | 0 | 1 | 0.18 | 0.38 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP116 | 0 | 1 | 0.19 | 0.39 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP117 | 0 | 1 | 0.18 | 0.38 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP118 | 0 | 1 | 0.19 | 0.39 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP119 | 0 | 1 | 0.16 | 0.37 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP120 | 0 | 1 | 0.17 | 0.37 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP121 | 0 | 1 | 0.14 | 0.35 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP122 | 0 | 1 | 0.16 | 0.37 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP123 | 0 | 1 | 0.17 | 0.37 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP124 | 0 | 1 | 0.16 | 0.37 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP125 | 0 | 1 | 0.16 | 0.36 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP126 | 0 | 1 | 0.15 | 0.36 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP127 | 0 | 1 | 0.14 | 0.35 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP128 | 0 | 1 | 0.15 | 0.36 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP129 | 0 | 1 | 0.14 | 0.35 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP130 | 0 | 1 | 0.11 | 0.31 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP131 | 0 | 1 | 0.13 | 0.33 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP132 | 0 | 1 | 0.13 | 0.33 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP133 | 0 | 1 | 0.13 | 0.33 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP134 | 0 | 1 | 0.13 | 0.33 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP135 | 0 | 1 | 0.13 | 0.33 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP136 | 0 | 1 | 0.12 | 0.33 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP137 | 0 | 1 | 0.12 | 0.32 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP138 | 0 | 1 | 0.11 | 0.31 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP139 | 0 | 1 | 0.08 | 0.27 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP140 | 0 | 1 | 0.11 | 0.31 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP141 | 0 | 1 | 0.12 | 0.32 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP142 | 0 | 1 | 0.11 | 0.31 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP143 | 0 | 1 | 0.08 | 0.27 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP144 | 0 | 1 | 0.10 | 0.31 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP145 | 0 | 1 | 0.10 | 0.31 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP146 | 0 | 1 | 0.10 | 0.30 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP147 | 0 | 1 | 0.11 | 0.31 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP148 | 0 | 1 | 0.09 | 0.28 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP149 | 0 | 1 | 0.09 | 0.29 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP150 | 0 | 1 | 0.08 | 0.27 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP151 | 0 | 1 | 0.06 | 0.23 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP152 | 0 | 1 | 0.08 | 0.27 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP153 | 0 | 1 | 0.08 | 0.27 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP155 | 0 | 1 | 0.07 | 0.25 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP156 | 0 | 1 | 0.07 | 0.26 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP157 | 0 | 1 | 0.06 | 0.24 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP158 | 0 | 1 | 0.05 | 0.23 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP159 | 0 | 1 | 0.07 | 0.26 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP160 | 0 | 1 | 0.07 | 0.25 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP161 | 0 | 1 | 0.07 | 0.25 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP162 | 0 | 1 | 0.50 | 0.50 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▇ |
| FP163 | 0 | 1 | 0.48 | 0.50 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▇ |
| FP164 | 0 | 1 | 0.63 | 0.48 | 0.00 | 0.00 | 1.00 | 1.00 | 1.00 | ▅▁▁▁▇ |
| FP165 | 0 | 1 | 0.35 | 0.48 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▅ |
| FP166 | 0 | 1 | 0.33 | 0.47 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▃ |
| FP167 | 0 | 1 | 0.33 | 0.47 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▃ |
| FP168 | 0 | 1 | 0.67 | 0.47 | 0.00 | 0.00 | 1.00 | 1.00 | 1.00 | ▅▁▁▁▇ |
| FP169 | 0 | 1 | 0.19 | 0.39 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP170 | 0 | 1 | 0.18 | 0.39 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP171 | 0 | 1 | 0.17 | 0.38 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP172 | 0 | 1 | 0.15 | 0.36 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP173 | 0 | 1 | 0.14 | 0.35 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP174 | 0 | 1 | 0.13 | 0.34 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP175 | 0 | 1 | 0.13 | 0.34 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP176 | 0 | 1 | 0.12 | 0.33 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP177 | 0 | 1 | 0.12 | 0.33 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP178 | 0 | 1 | 0.12 | 0.33 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP179 | 0 | 1 | 0.10 | 0.30 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP180 | 0 | 1 | 0.11 | 0.31 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP181 | 0 | 1 | 0.09 | 0.29 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP182 | 0 | 1 | 0.10 | 0.30 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP183 | 0 | 1 | 0.08 | 0.26 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP184 | 0 | 1 | 0.08 | 0.28 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP185 | 0 | 1 | 0.09 | 0.28 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP186 | 0 | 1 | 0.08 | 0.27 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP187 | 0 | 1 | 0.07 | 0.26 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP188 | 0 | 1 | 0.07 | 0.25 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP189 | 0 | 1 | 0.08 | 0.27 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP190 | 0 | 1 | 0.07 | 0.26 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP191 | 0 | 1 | 0.07 | 0.26 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP192 | 0 | 1 | 0.06 | 0.24 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP193 | 0 | 1 | 0.06 | 0.24 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP194 | 0 | 1 | 0.06 | 0.24 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP195 | 0 | 1 | 0.06 | 0.24 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP196 | 0 | 1 | 0.06 | 0.23 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP197 | 0 | 1 | 0.05 | 0.22 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP198 | 0 | 1 | 0.06 | 0.23 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP201 | 0 | 1 | 0.05 | 0.22 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP202 | 0 | 1 | 0.26 | 0.44 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▃ |
| FP203 | 0 | 1 | 0.11 | 0.32 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP204 | 0 | 1 | 0.10 | 0.30 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP205 | 0 | 1 | 0.08 | 0.27 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP206 | 0 | 1 | 0.06 | 0.24 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP207 | 0 | 1 | 0.06 | 0.23 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP208 | 0 | 1 | 0.11 | 0.32 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| MolWeight | 0 | 1 | 201.65 | 97.91 | 46.09 | 122.60 | 179.23 | 264.34 | 665.81 | ▇▆▂▁▁ |
| NumAtoms | 0 | 1 | 25.51 | 12.61 | 5.00 | 17.00 | 22.00 | 31.00 | 94.00 | ▇▆▂▁▁ |
| NumNonHAtoms | 0 | 1 | 13.16 | 6.50 | 2.00 | 8.00 | 12.00 | 17.00 | 47.00 | ▇▆▂▁▁ |
| NumBonds | 0 | 1 | 25.91 | 13.48 | 4.00 | 17.00 | 23.00 | 31.50 | 97.00 | ▇▇▂▁▁ |
| NumNonHBonds | 0 | 1 | 13.56 | 7.57 | 1.00 | 8.00 | 12.00 | 18.00 | 50.00 | ▇▇▂▁▁ |
| NumMultBonds | 0 | 1 | 6.15 | 5.17 | 0.00 | 1.00 | 6.00 | 10.00 | 25.00 | ▇▆▃▁▁ |
| NumRotBonds | 0 | 1 | 2.25 | 2.41 | 0.00 | 0.00 | 2.00 | 3.50 | 16.00 | ▇▂▁▁▁ |
| NumDblBonds | 0 | 1 | 1.01 | 1.21 | 0.00 | 0.00 | 1.00 | 2.00 | 7.00 | ▇▂▁▁▁ |
| NumAromaticBonds | 0 | 1 | 5.12 | 5.26 | 0.00 | 0.00 | 6.00 | 6.00 | 25.00 | ▇▆▃▁▁ |
| NumHydrogen | 0 | 1 | 12.35 | 7.32 | 0.00 | 7.00 | 11.00 | 16.00 | 47.00 | ▇▇▂▁▁ |
| NumCarbon | 0 | 1 | 9.89 | 5.29 | 1.00 | 6.00 | 9.00 | 12.00 | 33.00 | ▇▇▃▁▁ |
| NumNitrogen | 0 | 1 | 0.81 | 1.19 | 0.00 | 0.00 | 0.00 | 1.00 | 6.00 | ▇▂▁▁▁ |
| NumOxygen | 0 | 1 | 1.57 | 1.73 | 0.00 | 0.00 | 1.00 | 2.00 | 13.00 | ▇▂▁▁▁ |
| NumSulfer | 0 | 1 | 0.16 | 0.49 | 0.00 | 0.00 | 0.00 | 0.00 | 4.00 | ▇▁▁▁▁ |
| NumChlorine | 0 | 1 | 0.56 | 1.40 | 0.00 | 0.00 | 0.00 | 0.00 | 10.00 | ▇▁▁▁▁ |
| NumHalogen | 0 | 1 | 0.70 | 1.47 | 0.00 | 0.00 | 0.00 | 1.00 | 10.00 | ▇▁▁▁▁ |
| NumRings | 0 | 1 | 1.40 | 1.30 | 0.00 | 0.00 | 1.00 | 2.00 | 7.00 | ▇▃▂▁▁ |
| HydrophilicFactor | 0 | 1 | -0.02 | 1.13 | -0.98 | -0.76 | -0.31 | 0.31 | 13.48 | ▇▁▁▁▁ |
| SurfaceArea1 | 0 | 1 | 36.46 | 35.29 | 0.00 | 9.23 | 29.10 | 53.28 | 331.94 | ▇▂▁▁▁ |
| SurfaceArea2 | 0 | 1 | 40.23 | 38.12 | 0.00 | 10.63 | 33.12 | 60.66 | 331.94 | ▇▂▁▁▁ |
###################################
# Verifying the data dimensions
###################################
dim(DPA_ExcludedLowVariance)## [1] 951 2261.3.3 Collinearity
[A] High correlation > 95% were noted for 2 variable pairs as confirmed using the preprocessing summaries from the caret and lares packages.
[A.1] NumNonHAtoms and NumNonHBonds variables (numeric)
[A.2] NumMultBonds and NumAromaticBonds variables (numeric)
[A.3] NumAtoms and NumBonds variables (numeric)
Code Chunk | Output
##################################
# Loading dataset
##################################
DPA <- Solubility_Train
##################################
# Listing all predictors
##################################
DPA.Predictors <- DPA[,!names(DPA) %in% c("Log_Solubility_Class")]
##################################
# Listing all numeric predictors
##################################
DPA.Predictors.Numeric <- DPA.Predictors[,-(grep("FP", names(DPA.Predictors)))]
##################################
# Visualizing pairwise correlation between predictors
##################################
DPA_CorrelationTest <- cor.mtest(DPA.Predictors.Numeric,
method = "pearson",
conf.level = .95)
corrplot(cor(DPA.Predictors.Numeric,
method = "pearson",
use="pairwise.complete.obs"),
method = "circle",
type = "upper",
order = "original",
tl.col = "black",
tl.cex = 0.75,
tl.srt = 90,
sig.level = 0.05,
p.mat = DPA_CorrelationTest$p,
insig = "blank")
##################################
# Identifying the highly correlated variables
##################################
DPA_Correlation <- cor(DPA.Predictors.Numeric,
method = "pearson",
use="pairwise.complete.obs")
(DPA_HighlyCorrelatedCount <- sum(abs(DPA_Correlation[upper.tri(DPA_Correlation)]) > 0.95))## [1] 3if (DPA_HighlyCorrelatedCount == 0) {
print("No highly correlated predictors noted.")
} else {
print(paste0("High correlation observed for ",
(DPA_HighlyCorrelatedCount),
" pairs of numeric variable(s) with Correlation.Coefficient>0.95."))
(DPA_HighlyCorrelatedPairs <- corr_cross(DPA.Predictors.Numeric,
max_pvalue = 0.05,
top = DPA_HighlyCorrelatedCount,
rm.na = TRUE,
grid = FALSE
))
}## [1] "High correlation observed for 3 pairs of numeric variable(s) with Correlation.Coefficient>0.95."
if (DPA_HighlyCorrelatedCount > 0) {
DPA_HighlyCorrelated <- findCorrelation(DPA_Correlation, cutoff = 0.95)
(DPA_HighlyCorrelatedForRemoval <- length(DPA_HighlyCorrelated))
print(paste0("High correlation can be resolved by removing ",
(DPA_HighlyCorrelatedForRemoval),
" numeric variable(s)."))
for (j in 1:DPA_HighlyCorrelatedForRemoval) {
DPA_HighlyCorrelatedRemovedVariable <- colnames(DPA.Predictors.Numeric)[DPA_HighlyCorrelated[j]]
print(paste0("Variable ",
j,
" for removal: ",
DPA_HighlyCorrelatedRemovedVariable))
}
##################################
# Filtering out columns with high correlation
#################################
DPA_ExcludedHighCorrelation <- DPA[,-DPA_HighlyCorrelated]
##################################
# Gathering descriptive statistics
##################################
(DPA_ExcludedHighCorrelation_Skimmed <- skim(DPA_ExcludedHighCorrelation))
}## [1] "High correlation can be resolved by removing 3 numeric variable(s)."
## [1] "Variable 1 for removal: NumNonHAtoms"
## [1] "Variable 2 for removal: NumBonds"
## [1] "Variable 3 for removal: NumAromaticBonds"| Name | DPA_ExcludedHighCorrelati… |
| Number of rows | 951 |
| Number of columns | 226 |
| _______________________ | |
| Column type frequency: | |
| factor | 1 |
| numeric | 225 |
| ________________________ | |
| Group variables | None |
Variable type: factor
| skim_variable | n_missing | complete_rate | ordered | n_unique | top_counts |
|---|---|---|---|---|---|
| Log_Solubility_Class | 0 | 1 | FALSE | 2 | Hig: 524, Low: 427 |
Variable type: numeric
| skim_variable | n_missing | complete_rate | mean | sd | p0 | p25 | p50 | p75 | p100 | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| FP001 | 0 | 1 | 0.49 | 0.50 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▇ |
| FP002 | 0 | 1 | 0.54 | 0.50 | 0.00 | 0.00 | 1.00 | 1.00 | 1.00 | ▇▁▁▁▇ |
| FP005 | 0 | 1 | 0.58 | 0.49 | 0.00 | 0.00 | 1.00 | 1.00 | 1.00 | ▆▁▁▁▇ |
| FP006 | 0 | 1 | 0.40 | 0.49 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▆ |
| FP007 | 0 | 1 | 0.36 | 0.48 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▅ |
| FP008 | 0 | 1 | 0.33 | 0.47 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▃ |
| FP010 | 0 | 1 | 0.18 | 0.38 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP011 | 0 | 1 | 0.21 | 0.41 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP012 | 0 | 1 | 0.18 | 0.38 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP013 | 0 | 1 | 0.17 | 0.37 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP014 | 0 | 1 | 0.16 | 0.37 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP015 | 0 | 1 | 0.86 | 0.35 | 0.00 | 1.00 | 1.00 | 1.00 | 1.00 | ▁▁▁▁▇ |
| FP016 | 0 | 1 | 0.15 | 0.35 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP017 | 0 | 1 | 0.14 | 0.35 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP018 | 0 | 1 | 0.13 | 0.34 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP019 | 0 | 1 | 0.12 | 0.33 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP020 | 0 | 1 | 0.12 | 0.32 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP021 | 0 | 1 | 0.12 | 0.33 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP022 | 0 | 1 | 0.10 | 0.31 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP023 | 0 | 1 | 0.12 | 0.33 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP024 | 0 | 1 | 0.11 | 0.32 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP025 | 0 | 1 | 0.12 | 0.32 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP026 | 0 | 1 | 0.08 | 0.28 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP027 | 0 | 1 | 0.10 | 0.30 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP028 | 0 | 1 | 0.11 | 0.31 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP029 | 0 | 1 | 0.10 | 0.30 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP030 | 0 | 1 | 0.09 | 0.29 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP031 | 0 | 1 | 0.09 | 0.29 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP032 | 0 | 1 | 0.07 | 0.26 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP033 | 0 | 1 | 0.07 | 0.25 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP034 | 0 | 1 | 0.08 | 0.27 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP035 | 0 | 1 | 0.07 | 0.26 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP036 | 0 | 1 | 0.08 | 0.26 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP037 | 0 | 1 | 0.07 | 0.26 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP038 | 0 | 1 | 0.09 | 0.28 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP039 | 0 | 1 | 0.07 | 0.26 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP040 | 0 | 1 | 0.07 | 0.25 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP041 | 0 | 1 | 0.06 | 0.24 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP042 | 0 | 1 | 0.06 | 0.23 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP043 | 0 | 1 | 0.07 | 0.25 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP044 | 0 | 1 | 0.06 | 0.24 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP045 | 0 | 1 | 0.06 | 0.23 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP046 | 0 | 1 | 0.32 | 0.46 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▃ |
| FP047 | 0 | 1 | 0.27 | 0.44 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▃ |
| FP048 | 0 | 1 | 0.12 | 0.33 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP049 | 0 | 1 | 0.12 | 0.33 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP050 | 0 | 1 | 0.11 | 0.32 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP051 | 0 | 1 | 0.11 | 0.31 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP052 | 0 | 1 | 0.09 | 0.29 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP053 | 0 | 1 | 0.09 | 0.29 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP054 | 0 | 1 | 0.08 | 0.26 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP055 | 0 | 1 | 0.05 | 0.23 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP056 | 0 | 1 | 0.07 | 0.25 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP057 | 0 | 1 | 0.12 | 0.32 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP058 | 0 | 1 | 0.11 | 0.32 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP059 | 0 | 1 | 0.05 | 0.23 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP060 | 0 | 1 | 0.48 | 0.50 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▇ |
| FP061 | 0 | 1 | 0.45 | 0.50 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▆ |
| FP062 | 0 | 1 | 0.44 | 0.50 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▆ |
| FP063 | 0 | 1 | 0.43 | 0.49 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▆ |
| FP064 | 0 | 1 | 0.42 | 0.49 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▆ |
| FP065 | 0 | 1 | 0.59 | 0.49 | 0.00 | 0.00 | 1.00 | 1.00 | 1.00 | ▆▁▁▁▇ |
| FP066 | 0 | 1 | 0.61 | 0.49 | 0.00 | 0.00 | 1.00 | 1.00 | 1.00 | ▅▁▁▁▇ |
| FP067 | 0 | 1 | 0.38 | 0.49 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▅ |
| FP068 | 0 | 1 | 0.36 | 0.48 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▅ |
| FP069 | 0 | 1 | 0.36 | 0.48 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▅ |
| FP070 | 0 | 1 | 0.36 | 0.48 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▅ |
| FP071 | 0 | 1 | 0.33 | 0.47 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▃ |
| FP072 | 0 | 1 | 0.66 | 0.47 | 0.00 | 0.00 | 1.00 | 1.00 | 1.00 | ▅▁▁▁▇ |
| FP073 | 0 | 1 | 0.31 | 0.46 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▃ |
| FP074 | 0 | 1 | 0.32 | 0.47 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▃ |
| FP075 | 0 | 1 | 0.34 | 0.47 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▅ |
| FP076 | 0 | 1 | 0.33 | 0.47 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▃ |
| FP077 | 0 | 1 | 0.32 | 0.47 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▃ |
| FP078 | 0 | 1 | 0.30 | 0.46 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▃ |
| FP079 | 0 | 1 | 0.69 | 0.46 | 0.00 | 0.00 | 1.00 | 1.00 | 1.00 | ▃▁▁▁▇ |
| FP080 | 0 | 1 | 0.30 | 0.46 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▃ |
| FP081 | 0 | 1 | 0.28 | 0.45 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▃ |
| FP082 | 0 | 1 | 0.71 | 0.45 | 0.00 | 0.00 | 1.00 | 1.00 | 1.00 | ▃▁▁▁▇ |
| FP083 | 0 | 1 | 0.27 | 0.45 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▃ |
| FP084 | 0 | 1 | 0.29 | 0.45 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▃ |
| FP085 | 0 | 1 | 0.26 | 0.44 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▃ |
| FP086 | 0 | 1 | 0.27 | 0.44 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▃ |
| FP087 | 0 | 1 | 0.73 | 0.45 | 0.00 | 0.00 | 1.00 | 1.00 | 1.00 | ▃▁▁▁▇ |
| FP088 | 0 | 1 | 0.26 | 0.44 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▃ |
| FP089 | 0 | 1 | 0.25 | 0.43 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP090 | 0 | 1 | 0.25 | 0.43 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP091 | 0 | 1 | 0.23 | 0.42 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP092 | 0 | 1 | 0.24 | 0.43 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP093 | 0 | 1 | 0.24 | 0.43 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP094 | 0 | 1 | 0.23 | 0.42 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP095 | 0 | 1 | 0.22 | 0.41 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP096 | 0 | 1 | 0.22 | 0.41 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP097 | 0 | 1 | 0.24 | 0.42 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP098 | 0 | 1 | 0.24 | 0.43 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP099 | 0 | 1 | 0.23 | 0.42 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP100 | 0 | 1 | 0.23 | 0.42 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP101 | 0 | 1 | 0.24 | 0.43 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP102 | 0 | 1 | 0.20 | 0.40 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP103 | 0 | 1 | 0.22 | 0.41 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP104 | 0 | 1 | 0.22 | 0.42 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP105 | 0 | 1 | 0.22 | 0.41 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP106 | 0 | 1 | 0.19 | 0.39 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP107 | 0 | 1 | 0.21 | 0.41 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP108 | 0 | 1 | 0.21 | 0.40 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP109 | 0 | 1 | 0.18 | 0.38 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP110 | 0 | 1 | 0.21 | 0.40 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP111 | 0 | 1 | 0.20 | 0.40 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP112 | 0 | 1 | 0.19 | 0.40 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP113 | 0 | 1 | 0.20 | 0.40 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP114 | 0 | 1 | 0.16 | 0.36 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP115 | 0 | 1 | 0.18 | 0.38 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP116 | 0 | 1 | 0.19 | 0.39 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP117 | 0 | 1 | 0.18 | 0.38 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP118 | 0 | 1 | 0.19 | 0.39 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP119 | 0 | 1 | 0.16 | 0.37 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP120 | 0 | 1 | 0.17 | 0.37 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP121 | 0 | 1 | 0.14 | 0.35 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP122 | 0 | 1 | 0.16 | 0.37 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP123 | 0 | 1 | 0.17 | 0.37 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP124 | 0 | 1 | 0.16 | 0.37 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP125 | 0 | 1 | 0.16 | 0.36 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP126 | 0 | 1 | 0.15 | 0.36 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP127 | 0 | 1 | 0.14 | 0.35 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP128 | 0 | 1 | 0.15 | 0.36 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP129 | 0 | 1 | 0.14 | 0.35 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP130 | 0 | 1 | 0.11 | 0.31 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP131 | 0 | 1 | 0.13 | 0.33 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP132 | 0 | 1 | 0.13 | 0.33 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP133 | 0 | 1 | 0.13 | 0.33 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP134 | 0 | 1 | 0.13 | 0.33 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP135 | 0 | 1 | 0.13 | 0.33 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP136 | 0 | 1 | 0.12 | 0.33 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP137 | 0 | 1 | 0.12 | 0.32 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP138 | 0 | 1 | 0.11 | 0.31 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP139 | 0 | 1 | 0.08 | 0.27 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP140 | 0 | 1 | 0.11 | 0.31 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP141 | 0 | 1 | 0.12 | 0.32 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP142 | 0 | 1 | 0.11 | 0.31 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP143 | 0 | 1 | 0.08 | 0.27 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP144 | 0 | 1 | 0.10 | 0.31 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP145 | 0 | 1 | 0.10 | 0.31 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP146 | 0 | 1 | 0.10 | 0.30 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP147 | 0 | 1 | 0.11 | 0.31 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP148 | 0 | 1 | 0.09 | 0.28 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP149 | 0 | 1 | 0.09 | 0.29 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP150 | 0 | 1 | 0.08 | 0.27 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP151 | 0 | 1 | 0.06 | 0.23 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP152 | 0 | 1 | 0.08 | 0.27 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP153 | 0 | 1 | 0.08 | 0.27 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP154 | 0 | 1 | 0.04 | 0.19 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP155 | 0 | 1 | 0.07 | 0.25 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP156 | 0 | 1 | 0.07 | 0.26 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP157 | 0 | 1 | 0.06 | 0.24 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP158 | 0 | 1 | 0.05 | 0.23 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP159 | 0 | 1 | 0.07 | 0.26 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP160 | 0 | 1 | 0.07 | 0.25 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP161 | 0 | 1 | 0.07 | 0.25 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP162 | 0 | 1 | 0.50 | 0.50 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▇ |
| FP163 | 0 | 1 | 0.48 | 0.50 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▇ |
| FP164 | 0 | 1 | 0.63 | 0.48 | 0.00 | 0.00 | 1.00 | 1.00 | 1.00 | ▅▁▁▁▇ |
| FP165 | 0 | 1 | 0.35 | 0.48 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▅ |
| FP166 | 0 | 1 | 0.33 | 0.47 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▃ |
| FP167 | 0 | 1 | 0.33 | 0.47 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▃ |
| FP168 | 0 | 1 | 0.67 | 0.47 | 0.00 | 0.00 | 1.00 | 1.00 | 1.00 | ▅▁▁▁▇ |
| FP169 | 0 | 1 | 0.19 | 0.39 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP170 | 0 | 1 | 0.18 | 0.39 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP171 | 0 | 1 | 0.17 | 0.38 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP172 | 0 | 1 | 0.15 | 0.36 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP173 | 0 | 1 | 0.14 | 0.35 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP174 | 0 | 1 | 0.13 | 0.34 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP175 | 0 | 1 | 0.13 | 0.34 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP176 | 0 | 1 | 0.12 | 0.33 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP177 | 0 | 1 | 0.12 | 0.33 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP178 | 0 | 1 | 0.12 | 0.33 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP179 | 0 | 1 | 0.10 | 0.30 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP180 | 0 | 1 | 0.11 | 0.31 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP181 | 0 | 1 | 0.09 | 0.29 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP182 | 0 | 1 | 0.10 | 0.30 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP183 | 0 | 1 | 0.08 | 0.26 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP184 | 0 | 1 | 0.08 | 0.28 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP185 | 0 | 1 | 0.09 | 0.28 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP186 | 0 | 1 | 0.08 | 0.27 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP187 | 0 | 1 | 0.07 | 0.26 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP188 | 0 | 1 | 0.07 | 0.25 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP189 | 0 | 1 | 0.08 | 0.27 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP190 | 0 | 1 | 0.07 | 0.26 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP191 | 0 | 1 | 0.07 | 0.26 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP192 | 0 | 1 | 0.06 | 0.24 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP193 | 0 | 1 | 0.06 | 0.24 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP194 | 0 | 1 | 0.06 | 0.24 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP195 | 0 | 1 | 0.06 | 0.24 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP196 | 0 | 1 | 0.06 | 0.23 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP197 | 0 | 1 | 0.05 | 0.22 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP198 | 0 | 1 | 0.06 | 0.23 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP199 | 0 | 1 | 0.05 | 0.21 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP200 | 0 | 1 | 0.05 | 0.22 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP201 | 0 | 1 | 0.05 | 0.22 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP202 | 0 | 1 | 0.26 | 0.44 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▃ |
| FP203 | 0 | 1 | 0.11 | 0.32 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP204 | 0 | 1 | 0.10 | 0.30 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP205 | 0 | 1 | 0.08 | 0.27 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP206 | 0 | 1 | 0.06 | 0.24 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP207 | 0 | 1 | 0.06 | 0.23 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP208 | 0 | 1 | 0.11 | 0.32 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| MolWeight | 0 | 1 | 201.65 | 97.91 | 46.09 | 122.60 | 179.23 | 264.34 | 665.81 | ▇▆▂▁▁ |
| NumAtoms | 0 | 1 | 25.51 | 12.61 | 5.00 | 17.00 | 22.00 | 31.00 | 94.00 | ▇▆▂▁▁ |
| NumNonHAtoms | 0 | 1 | 13.16 | 6.50 | 2.00 | 8.00 | 12.00 | 17.00 | 47.00 | ▇▆▂▁▁ |
| NumBonds | 0 | 1 | 25.91 | 13.48 | 4.00 | 17.00 | 23.00 | 31.50 | 97.00 | ▇▇▂▁▁ |
| NumNonHBonds | 0 | 1 | 13.56 | 7.57 | 1.00 | 8.00 | 12.00 | 18.00 | 50.00 | ▇▇▂▁▁ |
| NumMultBonds | 0 | 1 | 6.15 | 5.17 | 0.00 | 1.00 | 6.00 | 10.00 | 25.00 | ▇▆▃▁▁ |
| NumRotBonds | 0 | 1 | 2.25 | 2.41 | 0.00 | 0.00 | 2.00 | 3.50 | 16.00 | ▇▂▁▁▁ |
| NumDblBonds | 0 | 1 | 1.01 | 1.21 | 0.00 | 0.00 | 1.00 | 2.00 | 7.00 | ▇▂▁▁▁ |
| NumAromaticBonds | 0 | 1 | 5.12 | 5.26 | 0.00 | 0.00 | 6.00 | 6.00 | 25.00 | ▇▆▃▁▁ |
| NumHydrogen | 0 | 1 | 12.35 | 7.32 | 0.00 | 7.00 | 11.00 | 16.00 | 47.00 | ▇▇▂▁▁ |
| NumCarbon | 0 | 1 | 9.89 | 5.29 | 1.00 | 6.00 | 9.00 | 12.00 | 33.00 | ▇▇▃▁▁ |
| NumNitrogen | 0 | 1 | 0.81 | 1.19 | 0.00 | 0.00 | 0.00 | 1.00 | 6.00 | ▇▂▁▁▁ |
| NumOxygen | 0 | 1 | 1.57 | 1.73 | 0.00 | 0.00 | 1.00 | 2.00 | 13.00 | ▇▂▁▁▁ |
| NumSulfer | 0 | 1 | 0.16 | 0.49 | 0.00 | 0.00 | 0.00 | 0.00 | 4.00 | ▇▁▁▁▁ |
| NumChlorine | 0 | 1 | 0.56 | 1.40 | 0.00 | 0.00 | 0.00 | 0.00 | 10.00 | ▇▁▁▁▁ |
| NumHalogen | 0 | 1 | 0.70 | 1.47 | 0.00 | 0.00 | 0.00 | 1.00 | 10.00 | ▇▁▁▁▁ |
| NumRings | 0 | 1 | 1.40 | 1.30 | 0.00 | 0.00 | 1.00 | 2.00 | 7.00 | ▇▃▂▁▁ |
| HydrophilicFactor | 0 | 1 | -0.02 | 1.13 | -0.98 | -0.76 | -0.31 | 0.31 | 13.48 | ▇▁▁▁▁ |
| SurfaceArea1 | 0 | 1 | 36.46 | 35.29 | 0.00 | 9.23 | 29.10 | 53.28 | 331.94 | ▇▂▁▁▁ |
| SurfaceArea2 | 0 | 1 | 40.23 | 38.12 | 0.00 | 10.63 | 33.12 | 60.66 | 331.94 | ▇▂▁▁▁ |
###################################
# Verifying the data dimensions
###################################
dim(DPA_ExcludedHighCorrelation)## [1] 951 2261.3.4 Linear Dependencies
[A] Linear dependencies noted for 2 subsets of variables using the preprocessing summary from the caret package applying the findLinearCombos method which utilizes the QR decomposition of a matrix to enumerate sets of linear combinations (if they exist).
[B] Subset 1
[B.1] NumNonHBonds variable (numeric)
[B.2] NumAtoms variable (numeric)
[B.3] NumNonHAtoms variable (numeric)
[B.3] NumBonds variable (numeric)
[C] Subset 2
[C.1] NumHydrogen variable (numeric)
[C.2] NumAtoms variable (numeric)
[C.3] NumNonHAtoms variable (numeric)
Code Chunk | Output
##################################
# Loading dataset
##################################
DPA <- Solubility_Train
##################################
# Listing all predictors
##################################
DPA.Predictors <- DPA[,!names(DPA) %in% c("Log_Solubility_Class")]
##################################
# Listing all numeric predictors
##################################
DPA.Predictors.Numeric <- DPA.Predictors[,sapply(DPA.Predictors, is.numeric)]
##################################
# Identifying the linearly dependent variables
##################################
DPA_LinearlyDependent <- findLinearCombos(DPA.Predictors.Numeric)
(DPA_LinearlyDependentCount <- length(DPA_LinearlyDependent$linearCombos))## [1] 2if (DPA_LinearlyDependentCount == 0) {
print("No linearly dependent predictors noted.")
} else {
print(paste0("Linear dependency observed for ",
(DPA_LinearlyDependentCount),
" subset(s) of numeric variable(s)."))
for (i in 1:DPA_LinearlyDependentCount) {
DPA_LinearlyDependentSubset <- colnames(DPA.Predictors.Numeric)[DPA_LinearlyDependent$linearCombos[[i]]]
print(paste0("Linear dependent variable(s) for subset ",
i,
" include: ",
DPA_LinearlyDependentSubset))
}
}## [1] "Linear dependency observed for 2 subset(s) of numeric variable(s)."
## [1] "Linear dependent variable(s) for subset 1 include: NumNonHBonds"
## [2] "Linear dependent variable(s) for subset 1 include: NumAtoms"
## [3] "Linear dependent variable(s) for subset 1 include: NumNonHAtoms"
## [4] "Linear dependent variable(s) for subset 1 include: NumBonds"
## [1] "Linear dependent variable(s) for subset 2 include: NumHydrogen"
## [2] "Linear dependent variable(s) for subset 2 include: NumAtoms"
## [3] "Linear dependent variable(s) for subset 2 include: NumNonHAtoms"##################################
# Identifying the linearly dependent variables for removal
##################################
if (DPA_LinearlyDependentCount > 0) {
DPA_LinearlyDependent <- findLinearCombos(DPA.Predictors.Numeric)
DPA_LinearlyDependentForRemoval <- length(DPA_LinearlyDependent$remove)
print(paste0("Linear dependency can be resolved by removing ",
(DPA_LinearlyDependentForRemoval),
" numeric variable(s)."))
for (j in 1:DPA_LinearlyDependentForRemoval) {
DPA_LinearlyDependentRemovedVariable <- colnames(DPA.Predictors.Numeric)[DPA_LinearlyDependent$remove[j]]
print(paste0("Variable ",
j,
" for removal: ",
DPA_LinearlyDependentRemovedVariable))
}
##################################
# Filtering out columns with linear dependency
#################################
DPA_ExcludedLinearlyDependent <- DPA[,-DPA_LinearlyDependent$remove]
##################################
# Gathering descriptive statistics
##################################
(DPA_ExcludedLinearlyDependent_Skimmed <- skim(DPA_ExcludedLinearlyDependent))
}## [1] "Linear dependency can be resolved by removing 2 numeric variable(s)."
## [1] "Variable 1 for removal: NumNonHBonds"
## [1] "Variable 2 for removal: NumHydrogen"| Name | DPA_ExcludedLinearlyDepen… |
| Number of rows | 951 |
| Number of columns | 227 |
| _______________________ | |
| Column type frequency: | |
| factor | 1 |
| numeric | 226 |
| ________________________ | |
| Group variables | None |
Variable type: factor
| skim_variable | n_missing | complete_rate | ordered | n_unique | top_counts |
|---|---|---|---|---|---|
| Log_Solubility_Class | 0 | 1 | FALSE | 2 | Hig: 524, Low: 427 |
Variable type: numeric
| skim_variable | n_missing | complete_rate | mean | sd | p0 | p25 | p50 | p75 | p100 | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| FP001 | 0 | 1 | 0.49 | 0.50 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▇ |
| FP002 | 0 | 1 | 0.54 | 0.50 | 0.00 | 0.00 | 1.00 | 1.00 | 1.00 | ▇▁▁▁▇ |
| FP003 | 0 | 1 | 0.44 | 0.50 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▆ |
| FP004 | 0 | 1 | 0.58 | 0.49 | 0.00 | 0.00 | 1.00 | 1.00 | 1.00 | ▆▁▁▁▇ |
| FP005 | 0 | 1 | 0.58 | 0.49 | 0.00 | 0.00 | 1.00 | 1.00 | 1.00 | ▆▁▁▁▇ |
| FP006 | 0 | 1 | 0.40 | 0.49 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▆ |
| FP007 | 0 | 1 | 0.36 | 0.48 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▅ |
| FP008 | 0 | 1 | 0.33 | 0.47 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▃ |
| FP009 | 0 | 1 | 0.28 | 0.45 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▃ |
| FP010 | 0 | 1 | 0.18 | 0.38 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP011 | 0 | 1 | 0.21 | 0.41 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP012 | 0 | 1 | 0.18 | 0.38 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP013 | 0 | 1 | 0.17 | 0.37 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP014 | 0 | 1 | 0.16 | 0.37 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP015 | 0 | 1 | 0.86 | 0.35 | 0.00 | 1.00 | 1.00 | 1.00 | 1.00 | ▁▁▁▁▇ |
| FP016 | 0 | 1 | 0.15 | 0.35 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP017 | 0 | 1 | 0.14 | 0.35 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP018 | 0 | 1 | 0.13 | 0.34 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP019 | 0 | 1 | 0.12 | 0.33 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP020 | 0 | 1 | 0.12 | 0.32 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP021 | 0 | 1 | 0.12 | 0.33 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP022 | 0 | 1 | 0.10 | 0.31 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP023 | 0 | 1 | 0.12 | 0.33 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP024 | 0 | 1 | 0.11 | 0.32 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP025 | 0 | 1 | 0.12 | 0.32 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP026 | 0 | 1 | 0.08 | 0.28 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP027 | 0 | 1 | 0.10 | 0.30 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP028 | 0 | 1 | 0.11 | 0.31 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP029 | 0 | 1 | 0.10 | 0.30 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP030 | 0 | 1 | 0.09 | 0.29 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP031 | 0 | 1 | 0.09 | 0.29 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP032 | 0 | 1 | 0.07 | 0.26 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP033 | 0 | 1 | 0.07 | 0.25 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP034 | 0 | 1 | 0.08 | 0.27 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP035 | 0 | 1 | 0.07 | 0.26 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP036 | 0 | 1 | 0.08 | 0.26 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP037 | 0 | 1 | 0.07 | 0.26 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP038 | 0 | 1 | 0.09 | 0.28 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP039 | 0 | 1 | 0.07 | 0.26 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP040 | 0 | 1 | 0.07 | 0.25 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP041 | 0 | 1 | 0.06 | 0.24 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP042 | 0 | 1 | 0.06 | 0.23 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP043 | 0 | 1 | 0.07 | 0.25 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP044 | 0 | 1 | 0.06 | 0.24 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP045 | 0 | 1 | 0.06 | 0.23 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP046 | 0 | 1 | 0.32 | 0.46 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▃ |
| FP047 | 0 | 1 | 0.27 | 0.44 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▃ |
| FP048 | 0 | 1 | 0.12 | 0.33 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP049 | 0 | 1 | 0.12 | 0.33 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP050 | 0 | 1 | 0.11 | 0.32 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP051 | 0 | 1 | 0.11 | 0.31 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP052 | 0 | 1 | 0.09 | 0.29 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP053 | 0 | 1 | 0.09 | 0.29 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP054 | 0 | 1 | 0.08 | 0.26 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP055 | 0 | 1 | 0.05 | 0.23 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP056 | 0 | 1 | 0.07 | 0.25 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP057 | 0 | 1 | 0.12 | 0.32 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP058 | 0 | 1 | 0.11 | 0.32 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP059 | 0 | 1 | 0.05 | 0.23 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP060 | 0 | 1 | 0.48 | 0.50 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▇ |
| FP061 | 0 | 1 | 0.45 | 0.50 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▆ |
| FP062 | 0 | 1 | 0.44 | 0.50 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▆ |
| FP063 | 0 | 1 | 0.43 | 0.49 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▆ |
| FP064 | 0 | 1 | 0.42 | 0.49 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▆ |
| FP065 | 0 | 1 | 0.59 | 0.49 | 0.00 | 0.00 | 1.00 | 1.00 | 1.00 | ▆▁▁▁▇ |
| FP066 | 0 | 1 | 0.61 | 0.49 | 0.00 | 0.00 | 1.00 | 1.00 | 1.00 | ▅▁▁▁▇ |
| FP067 | 0 | 1 | 0.38 | 0.49 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▅ |
| FP068 | 0 | 1 | 0.36 | 0.48 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▅ |
| FP069 | 0 | 1 | 0.36 | 0.48 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▅ |
| FP070 | 0 | 1 | 0.36 | 0.48 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▅ |
| FP071 | 0 | 1 | 0.33 | 0.47 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▃ |
| FP072 | 0 | 1 | 0.66 | 0.47 | 0.00 | 0.00 | 1.00 | 1.00 | 1.00 | ▅▁▁▁▇ |
| FP073 | 0 | 1 | 0.31 | 0.46 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▃ |
| FP074 | 0 | 1 | 0.32 | 0.47 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▃ |
| FP075 | 0 | 1 | 0.34 | 0.47 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▅ |
| FP076 | 0 | 1 | 0.33 | 0.47 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▃ |
| FP077 | 0 | 1 | 0.32 | 0.47 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▃ |
| FP078 | 0 | 1 | 0.30 | 0.46 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▃ |
| FP079 | 0 | 1 | 0.69 | 0.46 | 0.00 | 0.00 | 1.00 | 1.00 | 1.00 | ▃▁▁▁▇ |
| FP080 | 0 | 1 | 0.30 | 0.46 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▃ |
| FP081 | 0 | 1 | 0.28 | 0.45 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▃ |
| FP082 | 0 | 1 | 0.71 | 0.45 | 0.00 | 0.00 | 1.00 | 1.00 | 1.00 | ▃▁▁▁▇ |
| FP083 | 0 | 1 | 0.27 | 0.45 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▃ |
| FP084 | 0 | 1 | 0.29 | 0.45 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▃ |
| FP085 | 0 | 1 | 0.26 | 0.44 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▃ |
| FP086 | 0 | 1 | 0.27 | 0.44 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▃ |
| FP087 | 0 | 1 | 0.73 | 0.45 | 0.00 | 0.00 | 1.00 | 1.00 | 1.00 | ▃▁▁▁▇ |
| FP088 | 0 | 1 | 0.26 | 0.44 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▃ |
| FP089 | 0 | 1 | 0.25 | 0.43 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP090 | 0 | 1 | 0.25 | 0.43 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP091 | 0 | 1 | 0.23 | 0.42 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP092 | 0 | 1 | 0.24 | 0.43 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP093 | 0 | 1 | 0.24 | 0.43 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP094 | 0 | 1 | 0.23 | 0.42 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP095 | 0 | 1 | 0.22 | 0.41 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP096 | 0 | 1 | 0.22 | 0.41 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP097 | 0 | 1 | 0.24 | 0.42 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP098 | 0 | 1 | 0.24 | 0.43 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP099 | 0 | 1 | 0.23 | 0.42 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP100 | 0 | 1 | 0.23 | 0.42 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP101 | 0 | 1 | 0.24 | 0.43 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP102 | 0 | 1 | 0.20 | 0.40 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP103 | 0 | 1 | 0.22 | 0.41 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP104 | 0 | 1 | 0.22 | 0.42 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP105 | 0 | 1 | 0.22 | 0.41 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP106 | 0 | 1 | 0.19 | 0.39 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP107 | 0 | 1 | 0.21 | 0.41 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP108 | 0 | 1 | 0.21 | 0.40 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP109 | 0 | 1 | 0.18 | 0.38 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP110 | 0 | 1 | 0.21 | 0.40 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP111 | 0 | 1 | 0.20 | 0.40 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP112 | 0 | 1 | 0.19 | 0.40 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP113 | 0 | 1 | 0.20 | 0.40 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP114 | 0 | 1 | 0.16 | 0.36 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP115 | 0 | 1 | 0.18 | 0.38 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP116 | 0 | 1 | 0.19 | 0.39 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP117 | 0 | 1 | 0.18 | 0.38 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP118 | 0 | 1 | 0.19 | 0.39 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP119 | 0 | 1 | 0.16 | 0.37 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP120 | 0 | 1 | 0.17 | 0.37 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP121 | 0 | 1 | 0.14 | 0.35 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP122 | 0 | 1 | 0.16 | 0.37 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP123 | 0 | 1 | 0.17 | 0.37 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP124 | 0 | 1 | 0.16 | 0.37 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP125 | 0 | 1 | 0.16 | 0.36 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP126 | 0 | 1 | 0.15 | 0.36 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP127 | 0 | 1 | 0.14 | 0.35 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP128 | 0 | 1 | 0.15 | 0.36 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP129 | 0 | 1 | 0.14 | 0.35 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP130 | 0 | 1 | 0.11 | 0.31 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP131 | 0 | 1 | 0.13 | 0.33 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP132 | 0 | 1 | 0.13 | 0.33 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP133 | 0 | 1 | 0.13 | 0.33 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP134 | 0 | 1 | 0.13 | 0.33 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP135 | 0 | 1 | 0.13 | 0.33 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP136 | 0 | 1 | 0.12 | 0.33 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP137 | 0 | 1 | 0.12 | 0.32 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP138 | 0 | 1 | 0.11 | 0.31 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP139 | 0 | 1 | 0.08 | 0.27 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP140 | 0 | 1 | 0.11 | 0.31 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP141 | 0 | 1 | 0.12 | 0.32 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP142 | 0 | 1 | 0.11 | 0.31 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP143 | 0 | 1 | 0.08 | 0.27 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP144 | 0 | 1 | 0.10 | 0.31 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP145 | 0 | 1 | 0.10 | 0.31 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP146 | 0 | 1 | 0.10 | 0.30 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP147 | 0 | 1 | 0.11 | 0.31 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP148 | 0 | 1 | 0.09 | 0.28 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP149 | 0 | 1 | 0.09 | 0.29 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP150 | 0 | 1 | 0.08 | 0.27 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP151 | 0 | 1 | 0.06 | 0.23 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP152 | 0 | 1 | 0.08 | 0.27 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP153 | 0 | 1 | 0.08 | 0.27 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP154 | 0 | 1 | 0.04 | 0.19 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP155 | 0 | 1 | 0.07 | 0.25 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP156 | 0 | 1 | 0.07 | 0.26 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP157 | 0 | 1 | 0.06 | 0.24 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP158 | 0 | 1 | 0.05 | 0.23 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP159 | 0 | 1 | 0.07 | 0.26 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP160 | 0 | 1 | 0.07 | 0.25 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP161 | 0 | 1 | 0.07 | 0.25 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP162 | 0 | 1 | 0.50 | 0.50 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▇ |
| FP163 | 0 | 1 | 0.48 | 0.50 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▇ |
| FP164 | 0 | 1 | 0.63 | 0.48 | 0.00 | 0.00 | 1.00 | 1.00 | 1.00 | ▅▁▁▁▇ |
| FP165 | 0 | 1 | 0.35 | 0.48 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▅ |
| FP166 | 0 | 1 | 0.33 | 0.47 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▃ |
| FP167 | 0 | 1 | 0.33 | 0.47 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▃ |
| FP168 | 0 | 1 | 0.67 | 0.47 | 0.00 | 0.00 | 1.00 | 1.00 | 1.00 | ▅▁▁▁▇ |
| FP169 | 0 | 1 | 0.19 | 0.39 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP170 | 0 | 1 | 0.18 | 0.39 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP171 | 0 | 1 | 0.17 | 0.38 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP172 | 0 | 1 | 0.15 | 0.36 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▂ |
| FP173 | 0 | 1 | 0.14 | 0.35 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP174 | 0 | 1 | 0.13 | 0.34 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP175 | 0 | 1 | 0.13 | 0.34 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP176 | 0 | 1 | 0.12 | 0.33 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP177 | 0 | 1 | 0.12 | 0.33 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP178 | 0 | 1 | 0.12 | 0.33 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP179 | 0 | 1 | 0.10 | 0.30 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP180 | 0 | 1 | 0.11 | 0.31 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP181 | 0 | 1 | 0.09 | 0.29 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP182 | 0 | 1 | 0.10 | 0.30 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP183 | 0 | 1 | 0.08 | 0.26 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP184 | 0 | 1 | 0.08 | 0.28 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP185 | 0 | 1 | 0.09 | 0.28 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP186 | 0 | 1 | 0.08 | 0.27 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP187 | 0 | 1 | 0.07 | 0.26 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP188 | 0 | 1 | 0.07 | 0.25 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP189 | 0 | 1 | 0.08 | 0.27 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP190 | 0 | 1 | 0.07 | 0.26 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP191 | 0 | 1 | 0.07 | 0.26 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP192 | 0 | 1 | 0.06 | 0.24 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP193 | 0 | 1 | 0.06 | 0.24 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP194 | 0 | 1 | 0.06 | 0.24 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP195 | 0 | 1 | 0.06 | 0.24 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP196 | 0 | 1 | 0.06 | 0.23 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP197 | 0 | 1 | 0.05 | 0.22 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP198 | 0 | 1 | 0.06 | 0.23 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP199 | 0 | 1 | 0.05 | 0.21 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP200 | 0 | 1 | 0.05 | 0.22 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP201 | 0 | 1 | 0.05 | 0.22 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP202 | 0 | 1 | 0.26 | 0.44 | 0.00 | 0.00 | 0.00 | 1.00 | 1.00 | ▇▁▁▁▃ |
| FP203 | 0 | 1 | 0.11 | 0.32 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP204 | 0 | 1 | 0.10 | 0.30 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP205 | 0 | 1 | 0.08 | 0.27 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP206 | 0 | 1 | 0.06 | 0.24 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP207 | 0 | 1 | 0.06 | 0.23 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| FP208 | 0 | 1 | 0.11 | 0.32 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | ▇▁▁▁▁ |
| MolWeight | 0 | 1 | 201.65 | 97.91 | 46.09 | 122.60 | 179.23 | 264.34 | 665.81 | ▇▆▂▁▁ |
| NumAtoms | 0 | 1 | 25.51 | 12.61 | 5.00 | 17.00 | 22.00 | 31.00 | 94.00 | ▇▆▂▁▁ |
| NumNonHAtoms | 0 | 1 | 13.16 | 6.50 | 2.00 | 8.00 | 12.00 | 17.00 | 47.00 | ▇▆▂▁▁ |
| NumBonds | 0 | 1 | 25.91 | 13.48 | 4.00 | 17.00 | 23.00 | 31.50 | 97.00 | ▇▇▂▁▁ |
| NumMultBonds | 0 | 1 | 6.15 | 5.17 | 0.00 | 1.00 | 6.00 | 10.00 | 25.00 | ▇▆▃▁▁ |
| NumRotBonds | 0 | 1 | 2.25 | 2.41 | 0.00 | 0.00 | 2.00 | 3.50 | 16.00 | ▇▂▁▁▁ |
| NumDblBonds | 0 | 1 | 1.01 | 1.21 | 0.00 | 0.00 | 1.00 | 2.00 | 7.00 | ▇▂▁▁▁ |
| NumAromaticBonds | 0 | 1 | 5.12 | 5.26 | 0.00 | 0.00 | 6.00 | 6.00 | 25.00 | ▇▆▃▁▁ |
| NumCarbon | 0 | 1 | 9.89 | 5.29 | 1.00 | 6.00 | 9.00 | 12.00 | 33.00 | ▇▇▃▁▁ |
| NumNitrogen | 0 | 1 | 0.81 | 1.19 | 0.00 | 0.00 | 0.00 | 1.00 | 6.00 | ▇▂▁▁▁ |
| NumOxygen | 0 | 1 | 1.57 | 1.73 | 0.00 | 0.00 | 1.00 | 2.00 | 13.00 | ▇▂▁▁▁ |
| NumSulfer | 0 | 1 | 0.16 | 0.49 | 0.00 | 0.00 | 0.00 | 0.00 | 4.00 | ▇▁▁▁▁ |
| NumChlorine | 0 | 1 | 0.56 | 1.40 | 0.00 | 0.00 | 0.00 | 0.00 | 10.00 | ▇▁▁▁▁ |
| NumHalogen | 0 | 1 | 0.70 | 1.47 | 0.00 | 0.00 | 0.00 | 1.00 | 10.00 | ▇▁▁▁▁ |
| NumRings | 0 | 1 | 1.40 | 1.30 | 0.00 | 0.00 | 1.00 | 2.00 | 7.00 | ▇▃▂▁▁ |
| HydrophilicFactor | 0 | 1 | -0.02 | 1.13 | -0.98 | -0.76 | -0.31 | 0.31 | 13.48 | ▇▁▁▁▁ |
| SurfaceArea1 | 0 | 1 | 36.46 | 35.29 | 0.00 | 9.23 | 29.10 | 53.28 | 331.94 | ▇▂▁▁▁ |
| SurfaceArea2 | 0 | 1 | 40.23 | 38.12 | 0.00 | 10.63 | 33.12 | 60.66 | 331.94 | ▇▂▁▁▁ |
###################################
# Verifying the data dimensions
###################################
dim(DPA_ExcludedLinearlyDependent)## [1] 951 2271.3.5 Shape Transformation
[A] A number of numeric variables in the dataset were observed to be right-skewed which required shape transformation for data distribution stability. Considering that all numeric variables were strictly positive values, the BoxCox method from the caret package was used to transform their distributional shapes.
Code Chunk | Output
##################################
# Loading dataset
##################################
DPA <- Solubility_Train
##################################
# Listing all predictors
##################################
DPA.Predictors <- DPA[,!names(DPA) %in% c("Log_Solubility_Class")]
##################################
# Listing all numeric predictors
##################################
DPA.Predictors.Numeric <- DPA.Predictors[,-(grep("FP", names(DPA.Predictors)))]
##################################
# Applying a Box-Cox transformation
##################################
DPA_BoxCox <- preProcess(DPA.Predictors.Numeric, method = c("BoxCox"))
DPA_BoxCoxTransformed <- predict(DPA_BoxCox, DPA.Predictors.Numeric)
##################################
# Gathering descriptive statistics
##################################
(DPA_BoxCoxTransformedSkimmed <- skim(DPA_BoxCoxTransformed))| Name | DPA_BoxCoxTransformed |
| Number of rows | 951 |
| Number of columns | 20 |
| _______________________ | |
| Column type frequency: | |
| numeric | 20 |
| ________________________ | |
| Group variables | None |
Variable type: numeric
| skim_variable | n_missing | complete_rate | mean | sd | p0 | p25 | p50 | p75 | p100 | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| MolWeight | 0 | 1 | 5.19 | 0.48 | 3.83 | 4.81 | 5.19 | 5.58 | 6.50 | ▁▆▇▆▁ |
| NumAtoms | 0 | 1 | 3.13 | 0.48 | 1.61 | 2.83 | 3.09 | 3.43 | 4.54 | ▁▃▇▃▁ |
| NumNonHAtoms | 0 | 1 | 2.46 | 0.50 | 0.69 | 2.08 | 2.48 | 2.83 | 3.85 | ▁▃▇▇▁ |
| NumBonds | 0 | 1 | 4.39 | 0.96 | 1.60 | 3.81 | 4.36 | 4.97 | 7.48 | ▁▅▇▃▁ |
| NumNonHBonds | 0 | 1 | 3.21 | 0.95 | 0.00 | 2.58 | 3.22 | 3.91 | 5.93 | ▁▃▇▆▁ |
| NumMultBonds | 0 | 1 | 6.15 | 5.17 | 0.00 | 1.00 | 6.00 | 10.00 | 25.00 | ▇▆▃▁▁ |
| NumRotBonds | 0 | 1 | 2.25 | 2.41 | 0.00 | 0.00 | 2.00 | 3.50 | 16.00 | ▇▂▁▁▁ |
| NumDblBonds | 0 | 1 | 1.01 | 1.21 | 0.00 | 0.00 | 1.00 | 2.00 | 7.00 | ▇▂▁▁▁ |
| NumAromaticBonds | 0 | 1 | 5.12 | 5.26 | 0.00 | 0.00 | 6.00 | 6.00 | 25.00 | ▇▆▃▁▁ |
| NumHydrogen | 0 | 1 | 12.35 | 7.32 | 0.00 | 7.00 | 11.00 | 16.00 | 47.00 | ▇▇▂▁▁ |
| NumCarbon | 0 | 1 | 3.54 | 1.34 | 0.00 | 2.62 | 3.52 | 4.25 | 7.62 | ▂▇▇▃▁ |
| NumNitrogen | 0 | 1 | 0.81 | 1.19 | 0.00 | 0.00 | 0.00 | 1.00 | 6.00 | ▇▂▁▁▁ |
| NumOxygen | 0 | 1 | 1.57 | 1.73 | 0.00 | 0.00 | 1.00 | 2.00 | 13.00 | ▇▂▁▁▁ |
| NumSulfer | 0 | 1 | 0.16 | 0.49 | 0.00 | 0.00 | 0.00 | 0.00 | 4.00 | ▇▁▁▁▁ |
| NumChlorine | 0 | 1 | 0.56 | 1.40 | 0.00 | 0.00 | 0.00 | 0.00 | 10.00 | ▇▁▁▁▁ |
| NumHalogen | 0 | 1 | 0.70 | 1.47 | 0.00 | 0.00 | 0.00 | 1.00 | 10.00 | ▇▁▁▁▁ |
| NumRings | 0 | 1 | 1.40 | 1.30 | 0.00 | 0.00 | 1.00 | 2.00 | 7.00 | ▇▃▂▁▁ |
| HydrophilicFactor | 0 | 1 | -0.02 | 1.13 | -0.98 | -0.76 | -0.31 | 0.31 | 13.48 | ▇▁▁▁▁ |
| SurfaceArea1 | 0 | 1 | 36.46 | 35.29 | 0.00 | 9.23 | 29.10 | 53.28 | 331.94 | ▇▂▁▁▁ |
| SurfaceArea2 | 0 | 1 | 40.23 | 38.12 | 0.00 | 10.63 | 33.12 | 60.66 | 331.94 | ▇▂▁▁▁ |
###################################
# Verifying the data dimensions
###################################
dim(DPA_BoxCoxTransformed)## [1] 951 201.3.6 Centering and Scaling
[A] To maintain numerical stability during modelling, centering and scaling transformations were applied on the transformed numeric variables. The center method from the caret package was implemented which subtracts the average value of a numeric variable to all the values. As a result of centering, the variables had zero mean values. In addition, the scale method, also from the caret package, was applied which performs a center transformation with each value of the variable divided by its standard deviation. Scaling the data coerced the values to have a common standard deviation of one.
Code Chunk | Output
##################################
# Loading dataset
##################################
DPA <- Solubility_Train
##################################
# Listing all predictors
##################################
DPA.Predictors <- DPA[,!names(DPA) %in% c("Log_Solubility_Class")]
##################################
# Listing all numeric predictors
##################################
DPA.Predictors.Numeric <- DPA.Predictors[,-(grep("FP", names(DPA.Predictors)))]
##################################
# Applying a Box-Cox transformation
##################################
DPA_BoxCox <- preProcess(DPA.Predictors.Numeric, method = c("BoxCox"))
DPA_BoxCoxTransformed <- predict(DPA_BoxCox, DPA.Predictors.Numeric)
##################################
# Applying a center and scale data transformation
##################################
DPA.Predictors.Numeric_BoxCoxTransformed_CenteredScaled <- preProcess(DPA_BoxCoxTransformed, method = c("center","scale"))
DPA.Predictors.Numeric_BoxCoxTransformed_CenteredScaledTransformed <- predict(DPA.Predictors.Numeric_BoxCoxTransformed_CenteredScaled, DPA_BoxCoxTransformed)
##################################
# Gathering descriptive statistics
##################################
(DPA.Predictors.Numeric_BoxCoxTransformed_CenteredScaledTransformedSkimmed <- skim(DPA.Predictors.Numeric_BoxCoxTransformed_CenteredScaledTransformed))| Name | DPA.Predictors.Numeric_Bo… |
| Number of rows | 951 |
| Number of columns | 20 |
| _______________________ | |
| Column type frequency: | |
| numeric | 20 |
| ________________________ | |
| Group variables | None |
Variable type: numeric
| skim_variable | n_missing | complete_rate | mean | sd | p0 | p25 | p50 | p75 | p100 | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| MolWeight | 0 | 1 | 0 | 1 | -2.84 | -0.80 | -0.01 | 0.80 | 2.72 | ▁▆▇▆▁ |
| NumAtoms | 0 | 1 | 0 | 1 | -3.16 | -0.61 | -0.07 | 0.64 | 2.95 | ▁▃▇▃▁ |
| NumNonHAtoms | 0 | 1 | 0 | 1 | -3.53 | -0.76 | 0.06 | 0.75 | 2.79 | ▁▃▇▇▁ |
| NumBonds | 0 | 1 | 0 | 1 | -2.92 | -0.61 | -0.04 | 0.60 | 3.23 | ▁▅▇▃▁ |
| NumNonHBonds | 0 | 1 | 0 | 1 | -3.38 | -0.67 | 0.01 | 0.74 | 2.86 | ▁▃▇▆▁ |
| NumMultBonds | 0 | 1 | 0 | 1 | -1.19 | -1.00 | -0.03 | 0.74 | 3.65 | ▇▇▃▁▁ |
| NumRotBonds | 0 | 1 | 0 | 1 | -0.93 | -0.93 | -0.10 | 0.52 | 5.71 | ▇▂▁▁▁ |
| NumDblBonds | 0 | 1 | 0 | 1 | -0.83 | -0.83 | -0.01 | 0.82 | 4.95 | ▇▂▁▁▁ |
| NumAromaticBonds | 0 | 1 | 0 | 1 | -0.97 | -0.97 | 0.17 | 0.17 | 3.78 | ▇▆▃▁▁ |
| NumHydrogen | 0 | 1 | 0 | 1 | -1.69 | -0.73 | -0.18 | 0.50 | 4.74 | ▇▇▂▁▁ |
| NumCarbon | 0 | 1 | 0 | 1 | -2.64 | -0.69 | -0.01 | 0.54 | 3.06 | ▂▇▇▃▁ |
| NumNitrogen | 0 | 1 | 0 | 1 | -0.69 | -0.69 | -0.69 | 0.16 | 4.37 | ▇▂▁▁▁ |
| NumOxygen | 0 | 1 | 0 | 1 | -0.91 | -0.91 | -0.33 | 0.25 | 6.61 | ▇▂▁▁▁ |
| NumSulfer | 0 | 1 | 0 | 1 | -0.34 | -0.34 | -0.34 | -0.34 | 7.86 | ▇▁▁▁▁ |
| NumChlorine | 0 | 1 | 0 | 1 | -0.40 | -0.40 | -0.40 | -0.40 | 6.74 | ▇▁▁▁▁ |
| NumHalogen | 0 | 1 | 0 | 1 | -0.47 | -0.47 | -0.47 | 0.20 | 6.32 | ▇▁▁▁▁ |
| NumRings | 0 | 1 | 0 | 1 | -1.08 | -1.08 | -0.31 | 0.46 | 4.31 | ▇▃▂▁▁ |
| HydrophilicFactor | 0 | 1 | 0 | 1 | -0.86 | -0.66 | -0.26 | 0.30 | 11.99 | ▇▁▁▁▁ |
| SurfaceArea1 | 0 | 1 | 0 | 1 | -1.03 | -0.77 | -0.21 | 0.48 | 8.37 | ▇▂▁▁▁ |
| SurfaceArea2 | 0 | 1 | 0 | 1 | -1.06 | -0.78 | -0.19 | 0.54 | 7.65 | ▇▂▁▁▁ |
###################################
# Verifying the data dimensions
###################################
dim(DPA.Predictors.Numeric_BoxCoxTransformed_CenteredScaledTransformed)## [1] 951 201.3.7 Pre-Processed Dataset
[A] 1267 rows (observations)
[A.1] Train Set = 951 observations
[A.2] Test Set = 316 observations
[B] 221 columns (variables)
[B.1] 1/221 response = Class variable (factor)
[B.1.1] Levels = Log_Solubility_Class=Low < Log_Solubility_Class=High
[B.2] 220/221 predictors = All remaining variables (205/220 factor + 15/220 numeric)
[C] Pre-processing actions applied:
[C.1] Centering, scaling and shape transformation applied to improve data quality
[C.2] No outlier treatment applied since the high values noted were contextually valid and sensible
[C.3] 3 predictors removed due to zero or near-zero variance
[C.4] 3 predictors removed due to high correlation
[C.5] 2 predictors removed due to linear dependencies
Code Chunk | Output
##################################
# Creating the pre-modelling
# train set
##################################
Log_Solubility_Class <- DPA$Log_Solubility_Class
PMA.Predictors.Factor <- DPA.Predictors[,(grep("FP", names(DPA.Predictors)))]
PMA.Predictors.Factor <- as.data.frame(lapply(PMA.Predictors.Factor,factor))
PMA.Predictors.Numeric <- DPA.Predictors.Numeric_BoxCoxTransformed_CenteredScaledTransformed
PMA_BoxCoxTransformed_CenteredScaledTransformed <- cbind(Log_Solubility_Class,PMA.Predictors.Factor,PMA.Predictors.Numeric)
##################################
# Filtering out columns noted with data quality issues including
# zero and near-zero variance,
# high correlation and linear dependencies
# to create the pre-modelling dataset
##################################
PMA_BoxCoxTransformed_CenteredScaledTransformed_ExcludedLowVariance_ExcludedLinearlyDependent_ExcludedHighCorrelation <- PMA_BoxCoxTransformed_CenteredScaledTransformed[,!names(PMA_BoxCoxTransformed_CenteredScaledTransformed) %in% c("FP154","FP199","FP200","NumNonHBonds","NumHydrogen","NumNonHAtoms","NumAromaticBonds","NumAtoms")]
PMA_PreModelling_Train <- PMA_BoxCoxTransformed_CenteredScaledTransformed_ExcludedLowVariance_ExcludedLinearlyDependent_ExcludedHighCorrelation
##################################
# Gathering descriptive statistics
##################################
(PMA_PreModelling_Train_Skimmed <- skim(PMA_PreModelling_Train))| Name | PMA_PreModelling_Train |
| Number of rows | 951 |
| Number of columns | 221 |
| _______________________ | |
| Column type frequency: | |
| factor | 206 |
| numeric | 15 |
| ________________________ | |
| Group variables | None |
Variable type: factor
| skim_variable | n_missing | complete_rate | ordered | n_unique | top_counts |
|---|---|---|---|---|---|
| Log_Solubility_Class | 0 | 1 | FALSE | 2 | Hig: 524, Low: 427 |
| FP001 | 0 | 1 | FALSE | 2 | 0: 482, 1: 469 |
| FP002 | 0 | 1 | FALSE | 2 | 1: 513, 0: 438 |
| FP003 | 0 | 1 | FALSE | 2 | 0: 536, 1: 415 |
| FP004 | 0 | 1 | FALSE | 2 | 1: 556, 0: 395 |
| FP005 | 0 | 1 | FALSE | 2 | 1: 551, 0: 400 |
| FP006 | 0 | 1 | FALSE | 2 | 0: 570, 1: 381 |
| FP007 | 0 | 1 | FALSE | 2 | 0: 605, 1: 346 |
| FP008 | 0 | 1 | FALSE | 2 | 0: 641, 1: 310 |
| FP009 | 0 | 1 | FALSE | 2 | 0: 685, 1: 266 |
| FP010 | 0 | 1 | FALSE | 2 | 0: 781, 1: 170 |
| FP011 | 0 | 1 | FALSE | 2 | 0: 747, 1: 204 |
| FP012 | 0 | 1 | FALSE | 2 | 0: 783, 1: 168 |
| FP013 | 0 | 1 | FALSE | 2 | 0: 793, 1: 158 |
| FP014 | 0 | 1 | FALSE | 2 | 0: 798, 1: 153 |
| FP015 | 0 | 1 | FALSE | 2 | 1: 818, 0: 133 |
| FP016 | 0 | 1 | FALSE | 2 | 0: 812, 1: 139 |
| FP017 | 0 | 1 | FALSE | 2 | 0: 814, 1: 137 |
| FP018 | 0 | 1 | FALSE | 2 | 0: 826, 1: 125 |
| FP019 | 0 | 1 | FALSE | 2 | 0: 835, 1: 116 |
| FP020 | 0 | 1 | FALSE | 2 | 0: 837, 1: 114 |
| FP021 | 0 | 1 | FALSE | 2 | 0: 836, 1: 115 |
| FP022 | 0 | 1 | FALSE | 2 | 0: 852, 1: 99 |
| FP023 | 0 | 1 | FALSE | 2 | 0: 834, 1: 117 |
| FP024 | 0 | 1 | FALSE | 2 | 0: 844, 1: 107 |
| FP025 | 0 | 1 | FALSE | 2 | 0: 841, 1: 110 |
| FP026 | 0 | 1 | FALSE | 2 | 0: 871, 1: 80 |
| FP027 | 0 | 1 | FALSE | 2 | 0: 858, 1: 93 |
| FP028 | 0 | 1 | FALSE | 2 | 0: 850, 1: 101 |
| FP029 | 0 | 1 | FALSE | 2 | 0: 854, 1: 97 |
| FP030 | 0 | 1 | FALSE | 2 | 0: 862, 1: 89 |
| FP031 | 0 | 1 | FALSE | 2 | 0: 866, 1: 85 |
| FP032 | 0 | 1 | FALSE | 2 | 0: 881, 1: 70 |
| FP033 | 0 | 1 | FALSE | 2 | 0: 885, 1: 66 |
| FP034 | 0 | 1 | FALSE | 2 | 0: 875, 1: 76 |
| FP035 | 0 | 1 | FALSE | 2 | 0: 882, 1: 69 |
| FP036 | 0 | 1 | FALSE | 2 | 0: 879, 1: 72 |
| FP037 | 0 | 1 | FALSE | 2 | 0: 884, 1: 67 |
| FP038 | 0 | 1 | FALSE | 2 | 0: 869, 1: 82 |
| FP039 | 0 | 1 | FALSE | 2 | 0: 880, 1: 71 |
| FP040 | 0 | 1 | FALSE | 2 | 0: 886, 1: 65 |
| FP041 | 0 | 1 | FALSE | 2 | 0: 891, 1: 60 |
| FP042 | 0 | 1 | FALSE | 2 | 0: 897, 1: 54 |
| FP043 | 0 | 1 | FALSE | 2 | 0: 888, 1: 63 |
| FP044 | 0 | 1 | FALSE | 2 | 0: 894, 1: 57 |
| FP045 | 0 | 1 | FALSE | 2 | 0: 898, 1: 53 |
| FP046 | 0 | 1 | FALSE | 2 | 0: 651, 1: 300 |
| FP047 | 0 | 1 | FALSE | 2 | 0: 698, 1: 253 |
| FP048 | 0 | 1 | FALSE | 2 | 0: 833, 1: 118 |
| FP049 | 0 | 1 | FALSE | 2 | 0: 835, 1: 116 |
| FP050 | 0 | 1 | FALSE | 2 | 0: 844, 1: 107 |
| FP051 | 0 | 1 | FALSE | 2 | 0: 847, 1: 104 |
| FP052 | 0 | 1 | FALSE | 2 | 0: 864, 1: 87 |
| FP053 | 0 | 1 | FALSE | 2 | 0: 862, 1: 89 |
| FP054 | 0 | 1 | FALSE | 2 | 0: 879, 1: 72 |
| FP055 | 0 | 1 | FALSE | 2 | 0: 900, 1: 51 |
| FP056 | 0 | 1 | FALSE | 2 | 0: 889, 1: 62 |
| FP057 | 0 | 1 | FALSE | 2 | 0: 837, 1: 114 |
| FP058 | 0 | 1 | FALSE | 2 | 0: 843, 1: 108 |
| FP059 | 0 | 1 | FALSE | 2 | 0: 899, 1: 52 |
| FP060 | 0 | 1 | FALSE | 2 | 0: 493, 1: 458 |
| FP061 | 0 | 1 | FALSE | 2 | 0: 526, 1: 425 |
| FP062 | 0 | 1 | FALSE | 2 | 0: 535, 1: 416 |
| FP063 | 0 | 1 | FALSE | 2 | 0: 546, 1: 405 |
| FP064 | 0 | 1 | FALSE | 2 | 0: 555, 1: 396 |
| FP065 | 0 | 1 | FALSE | 2 | 1: 564, 0: 387 |
| FP066 | 0 | 1 | FALSE | 2 | 1: 580, 0: 371 |
| FP067 | 0 | 1 | FALSE | 2 | 0: 590, 1: 361 |
| FP068 | 0 | 1 | FALSE | 2 | 0: 607, 1: 344 |
| FP069 | 0 | 1 | FALSE | 2 | 0: 607, 1: 344 |
| FP070 | 0 | 1 | FALSE | 2 | 0: 613, 1: 338 |
| FP071 | 0 | 1 | FALSE | 2 | 0: 640, 1: 311 |
| FP072 | 0 | 1 | FALSE | 2 | 1: 626, 0: 325 |
| FP073 | 0 | 1 | FALSE | 2 | 0: 656, 1: 295 |
| FP074 | 0 | 1 | FALSE | 2 | 0: 642, 1: 309 |
| FP075 | 0 | 1 | FALSE | 2 | 0: 629, 1: 322 |
| FP076 | 0 | 1 | FALSE | 2 | 0: 639, 1: 312 |
| FP077 | 0 | 1 | FALSE | 2 | 0: 646, 1: 305 |
| FP078 | 0 | 1 | FALSE | 2 | 0: 662, 1: 289 |
| FP079 | 0 | 1 | FALSE | 2 | 1: 656, 0: 295 |
| FP080 | 0 | 1 | FALSE | 2 | 0: 663, 1: 288 |
| FP081 | 0 | 1 | FALSE | 2 | 0: 686, 1: 265 |
| FP082 | 0 | 1 | FALSE | 2 | 1: 679, 0: 272 |
| FP083 | 0 | 1 | FALSE | 2 | 0: 691, 1: 260 |
| FP084 | 0 | 1 | FALSE | 2 | 0: 679, 1: 272 |
| FP085 | 0 | 1 | FALSE | 2 | 0: 708, 1: 243 |
| FP086 | 0 | 1 | FALSE | 2 | 0: 695, 1: 256 |
| FP087 | 0 | 1 | FALSE | 2 | 1: 691, 0: 260 |
| FP088 | 0 | 1 | FALSE | 2 | 0: 701, 1: 250 |
| FP089 | 0 | 1 | FALSE | 2 | 0: 716, 1: 235 |
| FP090 | 0 | 1 | FALSE | 2 | 0: 714, 1: 237 |
| FP091 | 0 | 1 | FALSE | 2 | 0: 737, 1: 214 |
| FP092 | 0 | 1 | FALSE | 2 | 0: 719, 1: 232 |
| FP093 | 0 | 1 | FALSE | 2 | 0: 719, 1: 232 |
| FP094 | 0 | 1 | FALSE | 2 | 0: 731, 1: 220 |
| FP095 | 0 | 1 | FALSE | 2 | 0: 742, 1: 209 |
| FP096 | 0 | 1 | FALSE | 2 | 0: 744, 1: 207 |
| FP097 | 0 | 1 | FALSE | 2 | 0: 727, 1: 224 |
| FP098 | 0 | 1 | FALSE | 2 | 0: 725, 1: 226 |
| FP099 | 0 | 1 | FALSE | 2 | 0: 735, 1: 216 |
| FP100 | 0 | 1 | FALSE | 2 | 0: 731, 1: 220 |
| FP101 | 0 | 1 | FALSE | 2 | 0: 726, 1: 225 |
| FP102 | 0 | 1 | FALSE | 2 | 0: 759, 1: 192 |
| FP103 | 0 | 1 | FALSE | 2 | 0: 743, 1: 208 |
| FP104 | 0 | 1 | FALSE | 2 | 0: 739, 1: 212 |
| FP105 | 0 | 1 | FALSE | 2 | 0: 746, 1: 205 |
| FP106 | 0 | 1 | FALSE | 2 | 0: 769, 1: 182 |
| FP107 | 0 | 1 | FALSE | 2 | 0: 750, 1: 201 |
| FP108 | 0 | 1 | FALSE | 2 | 0: 756, 1: 195 |
| FP109 | 0 | 1 | FALSE | 2 | 0: 783, 1: 168 |
| FP110 | 0 | 1 | FALSE | 2 | 0: 755, 1: 196 |
| FP111 | 0 | 1 | FALSE | 2 | 0: 764, 1: 187 |
| FP112 | 0 | 1 | FALSE | 2 | 0: 766, 1: 185 |
| FP113 | 0 | 1 | FALSE | 2 | 0: 765, 1: 186 |
| FP114 | 0 | 1 | FALSE | 2 | 0: 803, 1: 148 |
| FP115 | 0 | 1 | FALSE | 2 | 0: 781, 1: 170 |
| FP116 | 0 | 1 | FALSE | 2 | 0: 768, 1: 183 |
| FP117 | 0 | 1 | FALSE | 2 | 0: 781, 1: 170 |
| FP118 | 0 | 1 | FALSE | 2 | 0: 768, 1: 183 |
| FP119 | 0 | 1 | FALSE | 2 | 0: 796, 1: 155 |
| FP120 | 0 | 1 | FALSE | 2 | 0: 793, 1: 158 |
| FP121 | 0 | 1 | FALSE | 2 | 0: 818, 1: 133 |
| FP122 | 0 | 1 | FALSE | 2 | 0: 795, 1: 156 |
| FP123 | 0 | 1 | FALSE | 2 | 0: 792, 1: 159 |
| FP124 | 0 | 1 | FALSE | 2 | 0: 797, 1: 154 |
| FP125 | 0 | 1 | FALSE | 2 | 0: 803, 1: 148 |
| FP126 | 0 | 1 | FALSE | 2 | 0: 810, 1: 141 |
| FP127 | 0 | 1 | FALSE | 2 | 0: 818, 1: 133 |
| FP128 | 0 | 1 | FALSE | 2 | 0: 810, 1: 141 |
| FP129 | 0 | 1 | FALSE | 2 | 0: 819, 1: 132 |
| FP130 | 0 | 1 | FALSE | 2 | 0: 851, 1: 100 |
| FP131 | 0 | 1 | FALSE | 2 | 0: 831, 1: 120 |
| FP132 | 0 | 1 | FALSE | 2 | 0: 832, 1: 119 |
| FP133 | 0 | 1 | FALSE | 2 | 0: 831, 1: 120 |
| FP134 | 0 | 1 | FALSE | 2 | 0: 830, 1: 121 |
| FP135 | 0 | 1 | FALSE | 2 | 0: 831, 1: 120 |
| FP136 | 0 | 1 | FALSE | 2 | 0: 836, 1: 115 |
| FP137 | 0 | 1 | FALSE | 2 | 0: 841, 1: 110 |
| FP138 | 0 | 1 | FALSE | 2 | 0: 845, 1: 106 |
| FP139 | 0 | 1 | FALSE | 2 | 0: 873, 1: 78 |
| FP140 | 0 | 1 | FALSE | 2 | 0: 845, 1: 106 |
| FP141 | 0 | 1 | FALSE | 2 | 0: 840, 1: 111 |
| FP142 | 0 | 1 | FALSE | 2 | 0: 847, 1: 104 |
| FP143 | 0 | 1 | FALSE | 2 | 0: 874, 1: 77 |
| FP144 | 0 | 1 | FALSE | 2 | 0: 852, 1: 99 |
| FP145 | 0 | 1 | FALSE | 2 | 0: 852, 1: 99 |
| FP146 | 0 | 1 | FALSE | 2 | 0: 853, 1: 98 |
| FP147 | 0 | 1 | FALSE | 2 | 0: 851, 1: 100 |
| FP148 | 0 | 1 | FALSE | 2 | 0: 868, 1: 83 |
| FP149 | 0 | 1 | FALSE | 2 | 0: 865, 1: 86 |
| FP150 | 0 | 1 | FALSE | 2 | 0: 876, 1: 75 |
| FP151 | 0 | 1 | FALSE | 2 | 0: 898, 1: 53 |
| FP152 | 0 | 1 | FALSE | 2 | 0: 873, 1: 78 |
| FP153 | 0 | 1 | FALSE | 2 | 0: 877, 1: 74 |
| FP155 | 0 | 1 | FALSE | 2 | 0: 885, 1: 66 |
| FP156 | 0 | 1 | FALSE | 2 | 0: 884, 1: 67 |
| FP157 | 0 | 1 | FALSE | 2 | 0: 892, 1: 59 |
| FP158 | 0 | 1 | FALSE | 2 | 0: 900, 1: 51 |
| FP159 | 0 | 1 | FALSE | 2 | 0: 884, 1: 67 |
| FP160 | 0 | 1 | FALSE | 2 | 0: 886, 1: 65 |
| FP161 | 0 | 1 | FALSE | 2 | 0: 888, 1: 63 |
| FP162 | 0 | 1 | FALSE | 2 | 0: 480, 1: 471 |
| FP163 | 0 | 1 | FALSE | 2 | 0: 498, 1: 453 |
| FP164 | 0 | 1 | FALSE | 2 | 1: 597, 0: 354 |
| FP165 | 0 | 1 | FALSE | 2 | 0: 619, 1: 332 |
| FP166 | 0 | 1 | FALSE | 2 | 0: 636, 1: 315 |
| FP167 | 0 | 1 | FALSE | 2 | 0: 639, 1: 312 |
| FP168 | 0 | 1 | FALSE | 2 | 1: 633, 0: 318 |
| FP169 | 0 | 1 | FALSE | 2 | 0: 774, 1: 177 |
| FP170 | 0 | 1 | FALSE | 2 | 0: 776, 1: 175 |
| FP171 | 0 | 1 | FALSE | 2 | 0: 790, 1: 161 |
| FP172 | 0 | 1 | FALSE | 2 | 0: 807, 1: 144 |
| FP173 | 0 | 1 | FALSE | 2 | 0: 816, 1: 135 |
| FP174 | 0 | 1 | FALSE | 2 | 0: 827, 1: 124 |
| FP175 | 0 | 1 | FALSE | 2 | 0: 823, 1: 128 |
| FP176 | 0 | 1 | FALSE | 2 | 0: 835, 1: 116 |
| FP177 | 0 | 1 | FALSE | 2 | 0: 836, 1: 115 |
| FP178 | 0 | 1 | FALSE | 2 | 0: 836, 1: 115 |
| FP179 | 0 | 1 | FALSE | 2 | 0: 858, 1: 93 |
| FP180 | 0 | 1 | FALSE | 2 | 0: 849, 1: 102 |
| FP181 | 0 | 1 | FALSE | 2 | 0: 862, 1: 89 |
| FP182 | 0 | 1 | FALSE | 2 | 0: 857, 1: 94 |
| FP183 | 0 | 1 | FALSE | 2 | 0: 879, 1: 72 |
| FP184 | 0 | 1 | FALSE | 2 | 0: 871, 1: 80 |
| FP185 | 0 | 1 | FALSE | 2 | 0: 870, 1: 81 |
| FP186 | 0 | 1 | FALSE | 2 | 0: 878, 1: 73 |
| FP187 | 0 | 1 | FALSE | 2 | 0: 882, 1: 69 |
| FP188 | 0 | 1 | FALSE | 2 | 0: 886, 1: 65 |
| FP189 | 0 | 1 | FALSE | 2 | 0: 878, 1: 73 |
| FP190 | 0 | 1 | FALSE | 2 | 0: 882, 1: 69 |
| FP191 | 0 | 1 | FALSE | 2 | 0: 884, 1: 67 |
| FP192 | 0 | 1 | FALSE | 2 | 0: 893, 1: 58 |
| FP193 | 0 | 1 | FALSE | 2 | 0: 892, 1: 59 |
| FP194 | 0 | 1 | FALSE | 2 | 0: 895, 1: 56 |
| FP195 | 0 | 1 | FALSE | 2 | 0: 893, 1: 58 |
| FP196 | 0 | 1 | FALSE | 2 | 0: 897, 1: 54 |
| FP197 | 0 | 1 | FALSE | 2 | 0: 901, 1: 50 |
| FP198 | 0 | 1 | FALSE | 2 | 0: 897, 1: 54 |
| FP201 | 0 | 1 | FALSE | 2 | 0: 901, 1: 50 |
| FP202 | 0 | 1 | FALSE | 2 | 0: 706, 1: 245 |
| FP203 | 0 | 1 | FALSE | 2 | 0: 842, 1: 109 |
| FP204 | 0 | 1 | FALSE | 2 | 0: 857, 1: 94 |
| FP205 | 0 | 1 | FALSE | 2 | 0: 877, 1: 74 |
| FP206 | 0 | 1 | FALSE | 2 | 0: 894, 1: 57 |
| FP207 | 0 | 1 | FALSE | 2 | 0: 897, 1: 54 |
| FP208 | 0 | 1 | FALSE | 2 | 0: 844, 1: 107 |
Variable type: numeric
| skim_variable | n_missing | complete_rate | mean | sd | p0 | p25 | p50 | p75 | p100 | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| MolWeight | 0 | 1 | 0 | 1 | -2.84 | -0.80 | -0.01 | 0.80 | 2.72 | ▁▆▇▆▁ |
| NumBonds | 0 | 1 | 0 | 1 | -2.92 | -0.61 | -0.04 | 0.60 | 3.23 | ▁▅▇▃▁ |
| NumMultBonds | 0 | 1 | 0 | 1 | -1.19 | -1.00 | -0.03 | 0.74 | 3.65 | ▇▇▃▁▁ |
| NumRotBonds | 0 | 1 | 0 | 1 | -0.93 | -0.93 | -0.10 | 0.52 | 5.71 | ▇▂▁▁▁ |
| NumDblBonds | 0 | 1 | 0 | 1 | -0.83 | -0.83 | -0.01 | 0.82 | 4.95 | ▇▂▁▁▁ |
| NumCarbon | 0 | 1 | 0 | 1 | -2.64 | -0.69 | -0.01 | 0.54 | 3.06 | ▂▇▇▃▁ |
| NumNitrogen | 0 | 1 | 0 | 1 | -0.69 | -0.69 | -0.69 | 0.16 | 4.37 | ▇▂▁▁▁ |
| NumOxygen | 0 | 1 | 0 | 1 | -0.91 | -0.91 | -0.33 | 0.25 | 6.61 | ▇▂▁▁▁ |
| NumSulfer | 0 | 1 | 0 | 1 | -0.34 | -0.34 | -0.34 | -0.34 | 7.86 | ▇▁▁▁▁ |
| NumChlorine | 0 | 1 | 0 | 1 | -0.40 | -0.40 | -0.40 | -0.40 | 6.74 | ▇▁▁▁▁ |
| NumHalogen | 0 | 1 | 0 | 1 | -0.47 | -0.47 | -0.47 | 0.20 | 6.32 | ▇▁▁▁▁ |
| NumRings | 0 | 1 | 0 | 1 | -1.08 | -1.08 | -0.31 | 0.46 | 4.31 | ▇▃▂▁▁ |
| HydrophilicFactor | 0 | 1 | 0 | 1 | -0.86 | -0.66 | -0.26 | 0.30 | 11.99 | ▇▁▁▁▁ |
| SurfaceArea1 | 0 | 1 | 0 | 1 | -1.03 | -0.77 | -0.21 | 0.48 | 8.37 | ▇▂▁▁▁ |
| SurfaceArea2 | 0 | 1 | 0 | 1 | -1.06 | -0.78 | -0.19 | 0.54 | 7.65 | ▇▂▁▁▁ |
###################################
# Verifying the data dimensions
# for the train set
###################################
dim(PMA_PreModelling_Train)## [1] 951 221##################################
# Formulating the test set
##################################
DPA_Test <- Solubility_Test
DPA_Test.Predictors <- DPA_Test[,!names(DPA_Test) %in% c("Log_Solubility_Class")]
DPA_Test.Predictors.Numeric <- DPA_Test.Predictors[,-(grep("FP", names(DPA_Test.Predictors)))]
DPA_Test_BoxCox <- preProcess(DPA_Test.Predictors.Numeric, method = c("BoxCox"))
DPA_Test_BoxCoxTransformed <- predict(DPA_Test_BoxCox, DPA_Test.Predictors.Numeric)
DPA_Test.Predictors.Numeric_BoxCoxTransformed_CenteredScaled <- preProcess(DPA_Test_BoxCoxTransformed, method = c("center","scale"))
DPA_Test.Predictors.Numeric_BoxCoxTransformed_CenteredScaledTransformed <- predict(DPA_Test.Predictors.Numeric_BoxCoxTransformed_CenteredScaled, DPA_Test_BoxCoxTransformed)
##################################
# Creating the pre-modelling
# test set
##################################
Log_Solubility_Class <- DPA_Test$Log_Solubility_Class
PMA_Test.Predictors.Factor <- DPA_Test.Predictors[,(grep("FP", names(DPA_Test.Predictors)))]
PMA_Test.Predictors.Factor <- as.data.frame(lapply(PMA_Test.Predictors.Factor,factor))
PMA_Test.Predictors.Numeric <- DPA_Test.Predictors.Numeric_BoxCoxTransformed_CenteredScaledTransformed
PMA_Test_BoxCoxTransformed_CenteredScaledTransformed <- cbind(Log_Solubility_Class,PMA_Test.Predictors.Factor,PMA_Test.Predictors.Numeric)
PMA_Test_BoxCoxTransformed_CenteredScaledTransformed_ExcludedLowVariance_ExcludedLinearlyDependent_ExcludedHighCorrelation <- PMA_Test_BoxCoxTransformed_CenteredScaledTransformed[,!names(PMA_Test_BoxCoxTransformed_CenteredScaledTransformed) %in% c("FP154","FP199","FP200","NumNonHBonds","NumHydrogen","NumNonHAtoms","NumAromaticBonds","NumAtoms")]
PMA_PreModelling_Test <- PMA_Test_BoxCoxTransformed_CenteredScaledTransformed_ExcludedLowVariance_ExcludedLinearlyDependent_ExcludedHighCorrelation
##################################
# Gathering descriptive statistics
##################################
(PMA_PreModelling_Test_Skimmed <- skim(PMA_PreModelling_Test))| Name | PMA_PreModelling_Test |
| Number of rows | 316 |
| Number of columns | 221 |
| _______________________ | |
| Column type frequency: | |
| factor | 206 |
| numeric | 15 |
| ________________________ | |
| Group variables | None |
Variable type: factor
| skim_variable | n_missing | complete_rate | ordered | n_unique | top_counts |
|---|---|---|---|---|---|
| Log_Solubility_Class | 0 | 1 | FALSE | 2 | Hig: 173, Low: 143 |
| FP001 | 0 | 1 | FALSE | 2 | 0: 168, 1: 148 |
| FP002 | 0 | 1 | FALSE | 2 | 1: 185, 0: 131 |
| FP003 | 0 | 1 | FALSE | 2 | 0: 176, 1: 140 |
| FP004 | 0 | 1 | FALSE | 2 | 1: 168, 0: 148 |
| FP005 | 0 | 1 | FALSE | 2 | 1: 195, 0: 121 |
| FP006 | 0 | 1 | FALSE | 2 | 0: 205, 1: 111 |
| FP007 | 0 | 1 | FALSE | 2 | 0: 204, 1: 112 |
| FP008 | 0 | 1 | FALSE | 2 | 0: 202, 1: 114 |
| FP009 | 0 | 1 | FALSE | 2 | 0: 233, 1: 83 |
| FP010 | 0 | 1 | FALSE | 2 | 0: 255, 1: 61 |
| FP011 | 0 | 1 | FALSE | 2 | 0: 261, 1: 55 |
| FP012 | 0 | 1 | FALSE | 2 | 0: 263, 1: 53 |
| FP013 | 0 | 1 | FALSE | 2 | 0: 264, 1: 52 |
| FP014 | 0 | 1 | FALSE | 2 | 0: 266, 1: 50 |
| FP015 | 0 | 1 | FALSE | 2 | 1: 262, 0: 54 |
| FP016 | 0 | 1 | FALSE | 2 | 0: 271, 1: 45 |
| FP017 | 0 | 1 | FALSE | 2 | 0: 269, 1: 47 |
| FP018 | 0 | 1 | FALSE | 2 | 0: 289, 1: 27 |
| FP019 | 0 | 1 | FALSE | 2 | 0: 280, 1: 36 |
| FP020 | 0 | 1 | FALSE | 2 | 0: 282, 1: 34 |
| FP021 | 0 | 1 | FALSE | 2 | 0: 282, 1: 34 |
| FP022 | 0 | 1 | FALSE | 2 | 0: 279, 1: 37 |
| FP023 | 0 | 1 | FALSE | 2 | 0: 289, 1: 27 |
| FP024 | 0 | 1 | FALSE | 2 | 0: 285, 1: 31 |
| FP025 | 0 | 1 | FALSE | 2 | 0: 291, 1: 25 |
| FP026 | 0 | 1 | FALSE | 2 | 0: 279, 1: 37 |
| FP027 | 0 | 1 | FALSE | 2 | 0: 291, 1: 25 |
| FP028 | 0 | 1 | FALSE | 2 | 0: 298, 1: 18 |
| FP029 | 0 | 1 | FALSE | 2 | 0: 300, 1: 16 |
| FP030 | 0 | 1 | FALSE | 2 | 0: 290, 1: 26 |
| FP031 | 0 | 1 | FALSE | 2 | 0: 285, 1: 31 |
| FP032 | 0 | 1 | FALSE | 2 | 0: 275, 1: 41 |
| FP033 | 0 | 1 | FALSE | 2 | 0: 278, 1: 38 |
| FP034 | 0 | 1 | FALSE | 2 | 0: 295, 1: 21 |
| FP035 | 0 | 1 | FALSE | 2 | 0: 285, 1: 31 |
| FP036 | 0 | 1 | FALSE | 2 | 0: 297, 1: 19 |
| FP037 | 0 | 1 | FALSE | 2 | 0: 286, 1: 30 |
| FP038 | 0 | 1 | FALSE | 2 | 0: 306, 1: 10 |
| FP039 | 0 | 1 | FALSE | 2 | 0: 296, 1: 20 |
| FP040 | 0 | 1 | FALSE | 2 | 0: 298, 1: 18 |
| FP041 | 0 | 1 | FALSE | 2 | 0: 297, 1: 19 |
| FP042 | 0 | 1 | FALSE | 2 | 0: 297, 1: 19 |
| FP043 | 0 | 1 | FALSE | 2 | 0: 302, 1: 14 |
| FP044 | 0 | 1 | FALSE | 2 | 0: 297, 1: 19 |
| FP045 | 0 | 1 | FALSE | 2 | 0: 296, 1: 20 |
| FP046 | 0 | 1 | FALSE | 2 | 0: 213, 1: 103 |
| FP047 | 0 | 1 | FALSE | 2 | 0: 222, 1: 94 |
| FP048 | 0 | 1 | FALSE | 2 | 0: 280, 1: 36 |
| FP049 | 0 | 1 | FALSE | 2 | 0: 282, 1: 34 |
| FP050 | 0 | 1 | FALSE | 2 | 0: 280, 1: 36 |
| FP051 | 0 | 1 | FALSE | 2 | 0: 298, 1: 18 |
| FP052 | 0 | 1 | FALSE | 2 | 0: 283, 1: 33 |
| FP053 | 0 | 1 | FALSE | 2 | 0: 297, 1: 19 |
| FP054 | 0 | 1 | FALSE | 2 | 0: 285, 1: 31 |
| FP055 | 0 | 1 | FALSE | 2 | 0: 287, 1: 29 |
| FP056 | 0 | 1 | FALSE | 2 | 0: 296, 1: 20 |
| FP057 | 0 | 1 | FALSE | 2 | 0: 277, 1: 39 |
| FP058 | 0 | 1 | FALSE | 2 | 0: 273, 1: 43 |
| FP059 | 0 | 1 | FALSE | 2 | 0: 302, 1: 14 |
| FP060 | 0 | 1 | FALSE | 2 | 0: 173, 1: 143 |
| FP061 | 0 | 1 | FALSE | 2 | 0: 192, 1: 124 |
| FP062 | 0 | 1 | FALSE | 2 | 0: 181, 1: 135 |
| FP063 | 0 | 1 | FALSE | 2 | 0: 203, 1: 113 |
| FP064 | 0 | 1 | FALSE | 2 | 0: 193, 1: 123 |
| FP065 | 0 | 1 | FALSE | 2 | 1: 189, 0: 127 |
| FP066 | 0 | 1 | FALSE | 2 | 1: 195, 0: 121 |
| FP067 | 0 | 1 | FALSE | 2 | 0: 213, 1: 103 |
| FP068 | 0 | 1 | FALSE | 2 | 0: 224, 1: 92 |
| FP069 | 0 | 1 | FALSE | 2 | 0: 198, 1: 118 |
| FP070 | 0 | 1 | FALSE | 2 | 0: 211, 1: 105 |
| FP071 | 0 | 1 | FALSE | 2 | 0: 207, 1: 109 |
| FP072 | 0 | 1 | FALSE | 2 | 1: 204, 0: 112 |
| FP073 | 0 | 1 | FALSE | 2 | 0: 224, 1: 92 |
| FP074 | 0 | 1 | FALSE | 2 | 0: 213, 1: 103 |
| FP075 | 0 | 1 | FALSE | 2 | 0: 235, 1: 81 |
| FP076 | 0 | 1 | FALSE | 2 | 0: 216, 1: 100 |
| FP077 | 0 | 1 | FALSE | 2 | 0: 219, 1: 97 |
| FP078 | 0 | 1 | FALSE | 2 | 0: 218, 1: 98 |
| FP079 | 0 | 1 | FALSE | 2 | 1: 230, 0: 86 |
| FP080 | 0 | 1 | FALSE | 2 | 0: 233, 1: 83 |
| FP081 | 0 | 1 | FALSE | 2 | 0: 225, 1: 91 |
| FP082 | 0 | 1 | FALSE | 2 | 1: 235, 0: 81 |
| FP083 | 0 | 1 | FALSE | 2 | 0: 236, 1: 80 |
| FP084 | 0 | 1 | FALSE | 2 | 0: 245, 1: 71 |
| FP085 | 0 | 1 | FALSE | 2 | 0: 231, 1: 85 |
| FP086 | 0 | 1 | FALSE | 2 | 0: 230, 1: 86 |
| FP087 | 0 | 1 | FALSE | 2 | 1: 241, 0: 75 |
| FP088 | 0 | 1 | FALSE | 2 | 0: 239, 1: 77 |
| FP089 | 0 | 1 | FALSE | 2 | 0: 236, 1: 80 |
| FP090 | 0 | 1 | FALSE | 2 | 0: 244, 1: 72 |
| FP091 | 0 | 1 | FALSE | 2 | 0: 243, 1: 73 |
| FP092 | 0 | 1 | FALSE | 2 | 0: 247, 1: 69 |
| FP093 | 0 | 1 | FALSE | 2 | 0: 248, 1: 68 |
| FP094 | 0 | 1 | FALSE | 2 | 0: 237, 1: 79 |
| FP095 | 0 | 1 | FALSE | 2 | 0: 251, 1: 65 |
| FP096 | 0 | 1 | FALSE | 2 | 0: 257, 1: 59 |
| FP097 | 0 | 1 | FALSE | 2 | 0: 250, 1: 66 |
| FP098 | 0 | 1 | FALSE | 2 | 0: 252, 1: 64 |
| FP099 | 0 | 1 | FALSE | 2 | 0: 249, 1: 67 |
| FP100 | 0 | 1 | FALSE | 2 | 0: 259, 1: 57 |
| FP101 | 0 | 1 | FALSE | 2 | 0: 260, 1: 56 |
| FP102 | 0 | 1 | FALSE | 2 | 0: 270, 1: 46 |
| FP103 | 0 | 1 | FALSE | 2 | 0: 247, 1: 69 |
| FP104 | 0 | 1 | FALSE | 2 | 0: 258, 1: 58 |
| FP105 | 0 | 1 | FALSE | 2 | 0: 248, 1: 68 |
| FP106 | 0 | 1 | FALSE | 2 | 0: 273, 1: 43 |
| FP107 | 0 | 1 | FALSE | 2 | 0: 254, 1: 62 |
| FP108 | 0 | 1 | FALSE | 2 | 0: 259, 1: 57 |
| FP109 | 0 | 1 | FALSE | 2 | 0: 261, 1: 55 |
| FP110 | 0 | 1 | FALSE | 2 | 0: 264, 1: 52 |
| FP111 | 0 | 1 | FALSE | 2 | 0: 259, 1: 57 |
| FP112 | 0 | 1 | FALSE | 2 | 0: 260, 1: 56 |
| FP113 | 0 | 1 | FALSE | 2 | 0: 264, 1: 52 |
| FP114 | 0 | 1 | FALSE | 2 | 0: 260, 1: 56 |
| FP115 | 0 | 1 | FALSE | 2 | 0: 266, 1: 50 |
| FP116 | 0 | 1 | FALSE | 2 | 0: 269, 1: 47 |
| FP117 | 0 | 1 | FALSE | 2 | 0: 262, 1: 54 |
| FP118 | 0 | 1 | FALSE | 2 | 0: 279, 1: 37 |
| FP119 | 0 | 1 | FALSE | 2 | 0: 263, 1: 53 |
| FP120 | 0 | 1 | FALSE | 2 | 0: 267, 1: 49 |
| FP121 | 0 | 1 | FALSE | 2 | 0: 282, 1: 34 |
| FP122 | 0 | 1 | FALSE | 2 | 0: 273, 1: 43 |
| FP123 | 0 | 1 | FALSE | 2 | 0: 270, 1: 46 |
| FP124 | 0 | 1 | FALSE | 2 | 0: 274, 1: 42 |
| FP125 | 0 | 1 | FALSE | 2 | 0: 278, 1: 38 |
| FP126 | 0 | 1 | FALSE | 2 | 0: 280, 1: 36 |
| FP127 | 0 | 1 | FALSE | 2 | 0: 269, 1: 47 |
| FP128 | 0 | 1 | FALSE | 2 | 0: 282, 1: 34 |
| FP129 | 0 | 1 | FALSE | 2 | 0: 272, 1: 44 |
| FP130 | 0 | 1 | FALSE | 2 | 0: 290, 1: 26 |
| FP131 | 0 | 1 | FALSE | 2 | 0: 282, 1: 34 |
| FP132 | 0 | 1 | FALSE | 2 | 0: 276, 1: 40 |
| FP133 | 0 | 1 | FALSE | 2 | 0: 273, 1: 43 |
| FP134 | 0 | 1 | FALSE | 2 | 0: 289, 1: 27 |
| FP135 | 0 | 1 | FALSE | 2 | 0: 296, 1: 20 |
| FP136 | 0 | 1 | FALSE | 2 | 0: 284, 1: 32 |
| FP137 | 0 | 1 | FALSE | 2 | 0: 288, 1: 28 |
| FP138 | 0 | 1 | FALSE | 2 | 0: 290, 1: 26 |
| FP139 | 0 | 1 | FALSE | 2 | 0: 296, 1: 20 |
| FP140 | 0 | 1 | FALSE | 2 | 0: 288, 1: 28 |
| FP141 | 0 | 1 | FALSE | 2 | 0: 294, 1: 22 |
| FP142 | 0 | 1 | FALSE | 2 | 0: 286, 1: 30 |
| FP143 | 0 | 1 | FALSE | 2 | 0: 299, 1: 17 |
| FP144 | 0 | 1 | FALSE | 2 | 0: 287, 1: 29 |
| FP145 | 0 | 1 | FALSE | 2 | 0: 296, 1: 20 |
| FP146 | 0 | 1 | FALSE | 2 | 0: 287, 1: 29 |
| FP147 | 0 | 1 | FALSE | 2 | 0: 294, 1: 22 |
| FP148 | 0 | 1 | FALSE | 2 | 0: 291, 1: 25 |
| FP149 | 0 | 1 | FALSE | 2 | 0: 290, 1: 26 |
| FP150 | 0 | 1 | FALSE | 2 | 0: 295, 1: 21 |
| FP151 | 0 | 1 | FALSE | 2 | 0: 306, 1: 10 |
| FP152 | 0 | 1 | FALSE | 2 | 0: 299, 1: 17 |
| FP153 | 0 | 1 | FALSE | 2 | 0: 305, 1: 11 |
| FP155 | 0 | 1 | FALSE | 2 | 0: 295, 1: 21 |
| FP156 | 0 | 1 | FALSE | 2 | 0: 301, 1: 15 |
| FP157 | 0 | 1 | FALSE | 2 | 0: 298, 1: 18 |
| FP158 | 0 | 1 | FALSE | 2 | 0: 291, 1: 25 |
| FP159 | 0 | 1 | FALSE | 2 | 0: 305, 1: 11 |
| FP160 | 0 | 1 | FALSE | 2 | 0: 305, 1: 11 |
| FP161 | 0 | 1 | FALSE | 2 | 0: 305, 1: 11 |
| FP162 | 0 | 1 | FALSE | 2 | 1: 168, 0: 148 |
| FP163 | 0 | 1 | FALSE | 2 | 0: 173, 1: 143 |
| FP164 | 0 | 1 | FALSE | 2 | 1: 207, 0: 109 |
| FP165 | 0 | 1 | FALSE | 2 | 0: 215, 1: 101 |
| FP166 | 0 | 1 | FALSE | 2 | 0: 209, 1: 107 |
| FP167 | 0 | 1 | FALSE | 2 | 0: 221, 1: 95 |
| FP168 | 0 | 1 | FALSE | 2 | 1: 226, 0: 90 |
| FP169 | 0 | 1 | FALSE | 2 | 0: 257, 1: 59 |
| FP170 | 0 | 1 | FALSE | 2 | 0: 267, 1: 49 |
| FP171 | 0 | 1 | FALSE | 2 | 0: 275, 1: 41 |
| FP172 | 0 | 1 | FALSE | 2 | 0: 269, 1: 47 |
| FP173 | 0 | 1 | FALSE | 2 | 0: 273, 1: 43 |
| FP174 | 0 | 1 | FALSE | 2 | 0: 267, 1: 49 |
| FP175 | 0 | 1 | FALSE | 2 | 0: 274, 1: 42 |
| FP176 | 0 | 1 | FALSE | 2 | 0: 282, 1: 34 |
| FP177 | 0 | 1 | FALSE | 2 | 0: 284, 1: 32 |
| FP178 | 0 | 1 | FALSE | 2 | 0: 282, 1: 34 |
| FP179 | 0 | 1 | FALSE | 2 | 0: 272, 1: 44 |
| FP180 | 0 | 1 | FALSE | 2 | 0: 294, 1: 22 |
| FP181 | 0 | 1 | FALSE | 2 | 0: 283, 1: 33 |
| FP182 | 0 | 1 | FALSE | 2 | 0: 292, 1: 24 |
| FP183 | 0 | 1 | FALSE | 2 | 0: 274, 1: 42 |
| FP184 | 0 | 1 | FALSE | 2 | 0: 286, 1: 30 |
| FP185 | 0 | 1 | FALSE | 2 | 0: 285, 1: 31 |
| FP186 | 0 | 1 | FALSE | 2 | 0: 297, 1: 19 |
| FP187 | 0 | 1 | FALSE | 2 | 0: 295, 1: 21 |
| FP188 | 0 | 1 | FALSE | 2 | 0: 294, 1: 22 |
| FP189 | 0 | 1 | FALSE | 2 | 0: 303, 1: 13 |
| FP190 | 0 | 1 | FALSE | 2 | 0: 299, 1: 17 |
| FP191 | 0 | 1 | FALSE | 2 | 0: 298, 1: 18 |
| FP192 | 0 | 1 | FALSE | 2 | 0: 294, 1: 22 |
| FP193 | 0 | 1 | FALSE | 2 | 0: 294, 1: 22 |
| FP194 | 0 | 1 | FALSE | 2 | 0: 295, 1: 21 |
| FP195 | 0 | 1 | FALSE | 2 | 0: 300, 1: 16 |
| FP196 | 0 | 1 | FALSE | 2 | 0: 294, 1: 22 |
| FP197 | 0 | 1 | FALSE | 2 | 0: 296, 1: 20 |
| FP198 | 0 | 1 | FALSE | 2 | 0: 302, 1: 14 |
| FP201 | 0 | 1 | FALSE | 2 | 0: 303, 1: 13 |
| FP202 | 0 | 1 | FALSE | 2 | 0: 232, 1: 84 |
| FP203 | 0 | 1 | FALSE | 2 | 0: 273, 1: 43 |
| FP204 | 0 | 1 | FALSE | 2 | 0: 286, 1: 30 |
| FP205 | 0 | 1 | FALSE | 2 | 0: 291, 1: 25 |
| FP206 | 0 | 1 | FALSE | 2 | 0: 300, 1: 16 |
| FP207 | 0 | 1 | FALSE | 2 | 0: 302, 1: 14 |
| FP208 | 0 | 1 | FALSE | 2 | 0: 273, 1: 43 |
Variable type: numeric
| skim_variable | n_missing | complete_rate | mean | sd | p0 | p25 | p50 | p75 | p100 | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| MolWeight | 0 | 1 | 0 | 1 | -2.46 | -0.78 | -0.06 | 0.81 | 2.18 | ▁▇▇▇▃ |
| NumBonds | 0 | 1 | 0 | 1 | -2.92 | -0.67 | 0.03 | 0.57 | 2.55 | ▁▂▇▃▂ |
| NumMultBonds | 0 | 1 | 0 | 1 | -1.24 | -1.04 | -0.06 | 0.72 | 4.06 | ▇▇▅▁▁ |
| NumRotBonds | 0 | 1 | 0 | 1 | -0.82 | -0.82 | -0.40 | 0.44 | 5.94 | ▇▁▁▁▁ |
| NumDblBonds | 0 | 1 | 0 | 1 | -0.76 | -0.76 | 0.09 | 0.09 | 4.35 | ▇▁▁▁▁ |
| NumCarbon | 0 | 1 | 0 | 1 | -2.71 | -0.70 | -0.21 | 0.56 | 2.23 | ▁▂▇▅▂ |
| NumNitrogen | 0 | 1 | 0 | 1 | -0.63 | -0.63 | -0.63 | 0.26 | 4.71 | ▇▂▁▁▁ |
| NumOxygen | 0 | 1 | 0 | 1 | -0.92 | -0.92 | -0.26 | 0.40 | 5.02 | ▇▃▁▁▁ |
| NumSulfer | 0 | 1 | 0 | 1 | -0.28 | -0.28 | -0.28 | -0.28 | 8.06 | ▇▁▁▁▁ |
| NumChlorine | 0 | 1 | 0 | 1 | -0.40 | -0.40 | -0.40 | -0.40 | 6.02 | ▇▁▁▁▁ |
| NumHalogen | 0 | 1 | 0 | 1 | -0.48 | -0.48 | -0.48 | 0.20 | 5.57 | ▇▁▁▁▁ |
| NumRings | 0 | 1 | 0 | 1 | -1.14 | -0.32 | -0.32 | 0.49 | 3.74 | ▇▃▁▁▁ |
| HydrophilicFactor | 0 | 1 | 0 | 1 | -0.90 | -0.68 | -0.30 | 0.32 | 5.19 | ▇▂▁▁▁ |
| SurfaceArea1 | 0 | 1 | 0 | 1 | -1.04 | -0.75 | -0.21 | 0.53 | 5.37 | ▇▃▁▁▁ |
| SurfaceArea2 | 0 | 1 | 0 | 1 | -1.05 | -0.77 | -0.26 | 0.52 | 5.00 | ▇▃▁▁▁ |
###################################
# Verifying the data dimensions
# for the test set
###################################
dim(PMA_PreModelling_Test)## [1] 316 2211.4 Data Exploration
[A] Numeric variables which demonstrated differential relationships with the Log_Solubility_Class response variable include:
[A.1] MolWeight variable (numeric)
[A.2] NumCarbon variable (numeric)
[A.3] NumChlorine variable (numeric)
[A.4] NumHalogen variable (numeric)
[A.5] NumMultBonds variable (numeric)
[B] Factor variables which demonstrated relatively better differentiation of the Log_Solubility_Class response variable between its 1 and 0 structure levels include:
[B.1] FP207 variable (factor)
[B.2] FP190 variable (factor)
[B.3] FP197 variable (factor)
[B.4] FP196 variable (factor)
[B.5] FP193 variable (factor)
[B.6] FP184 variable (factor)
[B.7] FP172 variable (factor)
[B.8] FP149 variable (factor)
[B.9] FP112 variable (factor)
[B.10] FP107 variable (factor)
[B.11] FP089 variable (factor)
[B.12] FP079 variable (factor)
[B.13] FP076 variable (factor)
[B.14] FP072 variable (factor)
[B.15] FP071 variable (factor)
[B.16] FP070 variable (factor)
[B.17] FP065 variable (factor)
[B.18] FP059 variable (factor)
[B.19] FP054 variable (factor)
[B.20] FP056 variable (factor)
[B.21] FP053 variable (factor)
[B.22] FP049 variable (factor)
[B.23] FP044 variable (factor)
[B.24] FP041 variable (factor)
[B.25] FP039 variable (factor)
[B.26] FP014 variable (factor)
[B.27] FP013 variable (factor)
Code Chunk | Output
##################################
# Loading dataset
##################################
EDA <- PMA_PreModelling_Train
##################################
# Listing all predictors
##################################
EDA.Predictors <- EDA[,!names(EDA) %in% c("Log_Solubility_Class")]
##################################
# Listing all numeric predictors
##################################
EDA.Predictors.Numeric <- EDA.Predictors[,sapply(EDA.Predictors, is.numeric)]
ncol(EDA.Predictors.Numeric)## [1] 15names(EDA.Predictors.Numeric)## [1] "MolWeight" "NumBonds" "NumMultBonds"
## [4] "NumRotBonds" "NumDblBonds" "NumCarbon"
## [7] "NumNitrogen" "NumOxygen" "NumSulfer"
## [10] "NumChlorine" "NumHalogen" "NumRings"
## [13] "HydrophilicFactor" "SurfaceArea1" "SurfaceArea2"##################################
# Listing all factor predictors
##################################
EDA.Predictors.Factor <- EDA.Predictors[,sapply(EDA.Predictors, is.factor)]
ncol(EDA.Predictors.Factor)## [1] 205names(EDA.Predictors.Factor)## [1] "FP001" "FP002" "FP003" "FP004" "FP005" "FP006" "FP007" "FP008" "FP009"
## [10] "FP010" "FP011" "FP012" "FP013" "FP014" "FP015" "FP016" "FP017" "FP018"
## [19] "FP019" "FP020" "FP021" "FP022" "FP023" "FP024" "FP025" "FP026" "FP027"
## [28] "FP028" "FP029" "FP030" "FP031" "FP032" "FP033" "FP034" "FP035" "FP036"
## [37] "FP037" "FP038" "FP039" "FP040" "FP041" "FP042" "FP043" "FP044" "FP045"
## [46] "FP046" "FP047" "FP048" "FP049" "FP050" "FP051" "FP052" "FP053" "FP054"
## [55] "FP055" "FP056" "FP057" "FP058" "FP059" "FP060" "FP061" "FP062" "FP063"
## [64] "FP064" "FP065" "FP066" "FP067" "FP068" "FP069" "FP070" "FP071" "FP072"
## [73] "FP073" "FP074" "FP075" "FP076" "FP077" "FP078" "FP079" "FP080" "FP081"
## [82] "FP082" "FP083" "FP084" "FP085" "FP086" "FP087" "FP088" "FP089" "FP090"
## [91] "FP091" "FP092" "FP093" "FP094" "FP095" "FP096" "FP097" "FP098" "FP099"
## [100] "FP100" "FP101" "FP102" "FP103" "FP104" "FP105" "FP106" "FP107" "FP108"
## [109] "FP109" "FP110" "FP111" "FP112" "FP113" "FP114" "FP115" "FP116" "FP117"
## [118] "FP118" "FP119" "FP120" "FP121" "FP122" "FP123" "FP124" "FP125" "FP126"
## [127] "FP127" "FP128" "FP129" "FP130" "FP131" "FP132" "FP133" "FP134" "FP135"
## [136] "FP136" "FP137" "FP138" "FP139" "FP140" "FP141" "FP142" "FP143" "FP144"
## [145] "FP145" "FP146" "FP147" "FP148" "FP149" "FP150" "FP151" "FP152" "FP153"
## [154] "FP155" "FP156" "FP157" "FP158" "FP159" "FP160" "FP161" "FP162" "FP163"
## [163] "FP164" "FP165" "FP166" "FP167" "FP168" "FP169" "FP170" "FP171" "FP172"
## [172] "FP173" "FP174" "FP175" "FP176" "FP177" "FP178" "FP179" "FP180" "FP181"
## [181] "FP182" "FP183" "FP184" "FP185" "FP186" "FP187" "FP188" "FP189" "FP190"
## [190] "FP191" "FP192" "FP193" "FP194" "FP195" "FP196" "FP197" "FP198" "FP201"
## [199] "FP202" "FP203" "FP204" "FP205" "FP206" "FP207" "FP208"##################################
# Formulating the box plots
##################################
featurePlot(x = EDA.Predictors.Numeric,
y = EDA$Log_Solubility_Class,
plot = "box",
scales = list(x = list(relation="free", rot = 90),
y = list(relation="free")),
adjust = 1.5,
pch = "|")
##################################
# Restructuring the dataset for
# for barchart analysis
##################################
Log_Solubility_Class <- DPA$Log_Solubility_Class
EDA.Bar.Source <- as.data.frame(cbind(Log_Solubility_Class,
EDA.Predictors.Factor))
ncol(EDA.Bar.Source)## [1] 206##################################
# Creating a function to formulate
# the proportions table
##################################
EDA.PropTable.Function <- function(FactorVar) {
EDA.Bar.Source.FactorVar <- EDA.Bar.Source[,c("Log_Solubility_Class",
FactorVar)]
EDA.Bar.Source.FactorVar.Prop <- as.data.frame(prop.table(table(EDA.Bar.Source.FactorVar), 2))
names(EDA.Bar.Source.FactorVar.Prop)[2] <- "Structure"
EDA.Bar.Source.FactorVar.Prop$Variable <- rep(FactorVar,nrow(EDA.Bar.Source.FactorVar.Prop))
return(EDA.Bar.Source.FactorVar.Prop)
}
EDA.Bar.Source.FactorVar.Prop.Group5 <- rbind(EDA.PropTable.Function(names(EDA.Bar.Source)[162]),
EDA.PropTable.Function(names(EDA.Bar.Source)[163]),
EDA.PropTable.Function(names(EDA.Bar.Source)[164]),
EDA.PropTable.Function(names(EDA.Bar.Source)[165]),
EDA.PropTable.Function(names(EDA.Bar.Source)[166]),
EDA.PropTable.Function(names(EDA.Bar.Source)[167]),
EDA.PropTable.Function(names(EDA.Bar.Source)[168]),
EDA.PropTable.Function(names(EDA.Bar.Source)[169]),
EDA.PropTable.Function(names(EDA.Bar.Source)[170]),
EDA.PropTable.Function(names(EDA.Bar.Source)[171]),
EDA.PropTable.Function(names(EDA.Bar.Source)[172]),
EDA.PropTable.Function(names(EDA.Bar.Source)[173]),
EDA.PropTable.Function(names(EDA.Bar.Source)[174]),
EDA.PropTable.Function(names(EDA.Bar.Source)[175]),
EDA.PropTable.Function(names(EDA.Bar.Source)[176]),
EDA.PropTable.Function(names(EDA.Bar.Source)[177]),
EDA.PropTable.Function(names(EDA.Bar.Source)[178]),
EDA.PropTable.Function(names(EDA.Bar.Source)[179]),
EDA.PropTable.Function(names(EDA.Bar.Source)[180]),
EDA.PropTable.Function(names(EDA.Bar.Source)[181]),
EDA.PropTable.Function(names(EDA.Bar.Source)[182]),
EDA.PropTable.Function(names(EDA.Bar.Source)[183]),
EDA.PropTable.Function(names(EDA.Bar.Source)[184]),
EDA.PropTable.Function(names(EDA.Bar.Source)[185]),
EDA.PropTable.Function(names(EDA.Bar.Source)[186]),
EDA.PropTable.Function(names(EDA.Bar.Source)[187]),
EDA.PropTable.Function(names(EDA.Bar.Source)[188]),
EDA.PropTable.Function(names(EDA.Bar.Source)[189]),
EDA.PropTable.Function(names(EDA.Bar.Source)[190]),
EDA.PropTable.Function(names(EDA.Bar.Source)[191]),
EDA.PropTable.Function(names(EDA.Bar.Source)[192]),
EDA.PropTable.Function(names(EDA.Bar.Source)[193]),
EDA.PropTable.Function(names(EDA.Bar.Source)[194]),
EDA.PropTable.Function(names(EDA.Bar.Source)[195]),
EDA.PropTable.Function(names(EDA.Bar.Source)[196]),
EDA.PropTable.Function(names(EDA.Bar.Source)[197]),
EDA.PropTable.Function(names(EDA.Bar.Source)[198]),
EDA.PropTable.Function(names(EDA.Bar.Source)[199]),
EDA.PropTable.Function(names(EDA.Bar.Source)[200]),
EDA.PropTable.Function(names(EDA.Bar.Source)[201]),
EDA.PropTable.Function(names(EDA.Bar.Source)[202]),
EDA.PropTable.Function(names(EDA.Bar.Source)[203]),
EDA.PropTable.Function(names(EDA.Bar.Source)[204]),
EDA.PropTable.Function(names(EDA.Bar.Source)[205]),
EDA.PropTable.Function(names(EDA.Bar.Source)[206]))
(EDA.Barchart.FactorVar <- barchart(EDA.Bar.Source.FactorVar.Prop.Group5[,3] ~
EDA.Bar.Source.FactorVar.Prop.Group5[,2] | EDA.Bar.Source.FactorVar.Prop.Group5[,4],
data=EDA.Bar.Source.FactorVar.Prop.Group5,
groups = EDA.Bar.Source.FactorVar.Prop.Group5[,1],
stack=TRUE,
ylab = "Proportion",
xlab = "Structure",
auto.key = list(adj = 1),
layout=(c(9,5))))
EDA.Bar.Source.FactorVar.Prop.Group4 <- rbind(EDA.PropTable.Function(names(EDA.Bar.Source)[122]),
EDA.PropTable.Function(names(EDA.Bar.Source)[123]),
EDA.PropTable.Function(names(EDA.Bar.Source)[124]),
EDA.PropTable.Function(names(EDA.Bar.Source)[125]),
EDA.PropTable.Function(names(EDA.Bar.Source)[126]),
EDA.PropTable.Function(names(EDA.Bar.Source)[127]),
EDA.PropTable.Function(names(EDA.Bar.Source)[128]),
EDA.PropTable.Function(names(EDA.Bar.Source)[129]),
EDA.PropTable.Function(names(EDA.Bar.Source)[130]),
EDA.PropTable.Function(names(EDA.Bar.Source)[131]),
EDA.PropTable.Function(names(EDA.Bar.Source)[132]),
EDA.PropTable.Function(names(EDA.Bar.Source)[133]),
EDA.PropTable.Function(names(EDA.Bar.Source)[134]),
EDA.PropTable.Function(names(EDA.Bar.Source)[135]),
EDA.PropTable.Function(names(EDA.Bar.Source)[136]),
EDA.PropTable.Function(names(EDA.Bar.Source)[137]),
EDA.PropTable.Function(names(EDA.Bar.Source)[138]),
EDA.PropTable.Function(names(EDA.Bar.Source)[139]),
EDA.PropTable.Function(names(EDA.Bar.Source)[140]),
EDA.PropTable.Function(names(EDA.Bar.Source)[141]),
EDA.PropTable.Function(names(EDA.Bar.Source)[142]),
EDA.PropTable.Function(names(EDA.Bar.Source)[143]),
EDA.PropTable.Function(names(EDA.Bar.Source)[144]),
EDA.PropTable.Function(names(EDA.Bar.Source)[145]),
EDA.PropTable.Function(names(EDA.Bar.Source)[146]),
EDA.PropTable.Function(names(EDA.Bar.Source)[147]),
EDA.PropTable.Function(names(EDA.Bar.Source)[148]),
EDA.PropTable.Function(names(EDA.Bar.Source)[149]),
EDA.PropTable.Function(names(EDA.Bar.Source)[150]),
EDA.PropTable.Function(names(EDA.Bar.Source)[151]),
EDA.PropTable.Function(names(EDA.Bar.Source)[152]),
EDA.PropTable.Function(names(EDA.Bar.Source)[153]),
EDA.PropTable.Function(names(EDA.Bar.Source)[154]),
EDA.PropTable.Function(names(EDA.Bar.Source)[155]),
EDA.PropTable.Function(names(EDA.Bar.Source)[156]),
EDA.PropTable.Function(names(EDA.Bar.Source)[157]),
EDA.PropTable.Function(names(EDA.Bar.Source)[158]),
EDA.PropTable.Function(names(EDA.Bar.Source)[159]),
EDA.PropTable.Function(names(EDA.Bar.Source)[160]),
EDA.PropTable.Function(names(EDA.Bar.Source)[161]))
(EDA.Barchart.FactorVar <- barchart(EDA.Bar.Source.FactorVar.Prop.Group4[,3] ~
EDA.Bar.Source.FactorVar.Prop.Group4[,2] | EDA.Bar.Source.FactorVar.Prop.Group4[,4],
data=EDA.Bar.Source.FactorVar.Prop.Group4,
groups = EDA.Bar.Source.FactorVar.Prop.Group4[,1],
stack=TRUE,
ylab = "Proportion",
xlab = "Structure",
auto.key = list(adj = 1),
layout=(c(9,5))))
EDA.Bar.Source.FactorVar.Prop.Group3 <- rbind(EDA.PropTable.Function(names(EDA.Bar.Source)[82]),
EDA.PropTable.Function(names(EDA.Bar.Source)[83]),
EDA.PropTable.Function(names(EDA.Bar.Source)[84]),
EDA.PropTable.Function(names(EDA.Bar.Source)[85]),
EDA.PropTable.Function(names(EDA.Bar.Source)[86]),
EDA.PropTable.Function(names(EDA.Bar.Source)[87]),
EDA.PropTable.Function(names(EDA.Bar.Source)[88]),
EDA.PropTable.Function(names(EDA.Bar.Source)[89]),
EDA.PropTable.Function(names(EDA.Bar.Source)[90]),
EDA.PropTable.Function(names(EDA.Bar.Source)[91]),
EDA.PropTable.Function(names(EDA.Bar.Source)[92]),
EDA.PropTable.Function(names(EDA.Bar.Source)[93]),
EDA.PropTable.Function(names(EDA.Bar.Source)[94]),
EDA.PropTable.Function(names(EDA.Bar.Source)[95]),
EDA.PropTable.Function(names(EDA.Bar.Source)[96]),
EDA.PropTable.Function(names(EDA.Bar.Source)[97]),
EDA.PropTable.Function(names(EDA.Bar.Source)[98]),
EDA.PropTable.Function(names(EDA.Bar.Source)[99]),
EDA.PropTable.Function(names(EDA.Bar.Source)[100]),
EDA.PropTable.Function(names(EDA.Bar.Source)[101]),
EDA.PropTable.Function(names(EDA.Bar.Source)[102]),
EDA.PropTable.Function(names(EDA.Bar.Source)[103]),
EDA.PropTable.Function(names(EDA.Bar.Source)[104]),
EDA.PropTable.Function(names(EDA.Bar.Source)[105]),
EDA.PropTable.Function(names(EDA.Bar.Source)[106]),
EDA.PropTable.Function(names(EDA.Bar.Source)[107]),
EDA.PropTable.Function(names(EDA.Bar.Source)[108]),
EDA.PropTable.Function(names(EDA.Bar.Source)[109]),
EDA.PropTable.Function(names(EDA.Bar.Source)[110]),
EDA.PropTable.Function(names(EDA.Bar.Source)[111]),
EDA.PropTable.Function(names(EDA.Bar.Source)[112]),
EDA.PropTable.Function(names(EDA.Bar.Source)[113]),
EDA.PropTable.Function(names(EDA.Bar.Source)[114]),
EDA.PropTable.Function(names(EDA.Bar.Source)[115]),
EDA.PropTable.Function(names(EDA.Bar.Source)[116]),
EDA.PropTable.Function(names(EDA.Bar.Source)[117]),
EDA.PropTable.Function(names(EDA.Bar.Source)[118]),
EDA.PropTable.Function(names(EDA.Bar.Source)[119]),
EDA.PropTable.Function(names(EDA.Bar.Source)[120]),
EDA.PropTable.Function(names(EDA.Bar.Source)[121]))
(EDA.Barchart.FactorVar <- barchart(EDA.Bar.Source.FactorVar.Prop.Group3[,3] ~
EDA.Bar.Source.FactorVar.Prop.Group3[,2] | EDA.Bar.Source.FactorVar.Prop.Group3[,4],
data=EDA.Bar.Source.FactorVar.Prop.Group3,
groups = EDA.Bar.Source.FactorVar.Prop.Group3[,1],
stack=TRUE,
ylab = "Proportion",
xlab = "Structure",
auto.key = list(adj = 1),
layout=(c(9,5))))
EDA.Bar.Source.FactorVar.Prop.Group2 <- rbind(EDA.PropTable.Function(names(EDA.Bar.Source)[42]),
EDA.PropTable.Function(names(EDA.Bar.Source)[43]),
EDA.PropTable.Function(names(EDA.Bar.Source)[44]),
EDA.PropTable.Function(names(EDA.Bar.Source)[45]),
EDA.PropTable.Function(names(EDA.Bar.Source)[46]),
EDA.PropTable.Function(names(EDA.Bar.Source)[47]),
EDA.PropTable.Function(names(EDA.Bar.Source)[48]),
EDA.PropTable.Function(names(EDA.Bar.Source)[49]),
EDA.PropTable.Function(names(EDA.Bar.Source)[50]),
EDA.PropTable.Function(names(EDA.Bar.Source)[51]),
EDA.PropTable.Function(names(EDA.Bar.Source)[52]),
EDA.PropTable.Function(names(EDA.Bar.Source)[53]),
EDA.PropTable.Function(names(EDA.Bar.Source)[54]),
EDA.PropTable.Function(names(EDA.Bar.Source)[55]),
EDA.PropTable.Function(names(EDA.Bar.Source)[56]),
EDA.PropTable.Function(names(EDA.Bar.Source)[57]),
EDA.PropTable.Function(names(EDA.Bar.Source)[58]),
EDA.PropTable.Function(names(EDA.Bar.Source)[59]),
EDA.PropTable.Function(names(EDA.Bar.Source)[60]),
EDA.PropTable.Function(names(EDA.Bar.Source)[61]),
EDA.PropTable.Function(names(EDA.Bar.Source)[62]),
EDA.PropTable.Function(names(EDA.Bar.Source)[63]),
EDA.PropTable.Function(names(EDA.Bar.Source)[64]),
EDA.PropTable.Function(names(EDA.Bar.Source)[65]),
EDA.PropTable.Function(names(EDA.Bar.Source)[66]),
EDA.PropTable.Function(names(EDA.Bar.Source)[67]),
EDA.PropTable.Function(names(EDA.Bar.Source)[68]),
EDA.PropTable.Function(names(EDA.Bar.Source)[69]),
EDA.PropTable.Function(names(EDA.Bar.Source)[70]),
EDA.PropTable.Function(names(EDA.Bar.Source)[71]),
EDA.PropTable.Function(names(EDA.Bar.Source)[72]),
EDA.PropTable.Function(names(EDA.Bar.Source)[73]),
EDA.PropTable.Function(names(EDA.Bar.Source)[74]),
EDA.PropTable.Function(names(EDA.Bar.Source)[75]),
EDA.PropTable.Function(names(EDA.Bar.Source)[76]),
EDA.PropTable.Function(names(EDA.Bar.Source)[77]),
EDA.PropTable.Function(names(EDA.Bar.Source)[78]),
EDA.PropTable.Function(names(EDA.Bar.Source)[79]),
EDA.PropTable.Function(names(EDA.Bar.Source)[80]),
EDA.PropTable.Function(names(EDA.Bar.Source)[81]))
(EDA.Barchart.FactorVar <- barchart(EDA.Bar.Source.FactorVar.Prop.Group2[,3] ~
EDA.Bar.Source.FactorVar.Prop.Group2[,2] | EDA.Bar.Source.FactorVar.Prop.Group2[,4],
data=EDA.Bar.Source.FactorVar.Prop.Group2,
groups = EDA.Bar.Source.FactorVar.Prop.Group2[,1],
stack=TRUE,
ylab = "Proportion",
xlab = "Structure",
auto.key = list(adj = 1),
layout=(c(9,5))))
EDA.Bar.Source.FactorVar.Prop.Group1 <- rbind(EDA.PropTable.Function(names(EDA.Bar.Source)[2]),
EDA.PropTable.Function(names(EDA.Bar.Source)[3]),
EDA.PropTable.Function(names(EDA.Bar.Source)[4]),
EDA.PropTable.Function(names(EDA.Bar.Source)[5]),
EDA.PropTable.Function(names(EDA.Bar.Source)[6]),
EDA.PropTable.Function(names(EDA.Bar.Source)[7]),
EDA.PropTable.Function(names(EDA.Bar.Source)[8]),
EDA.PropTable.Function(names(EDA.Bar.Source)[9]),
EDA.PropTable.Function(names(EDA.Bar.Source)[10]),
EDA.PropTable.Function(names(EDA.Bar.Source)[11]),
EDA.PropTable.Function(names(EDA.Bar.Source)[12]),
EDA.PropTable.Function(names(EDA.Bar.Source)[13]),
EDA.PropTable.Function(names(EDA.Bar.Source)[14]),
EDA.PropTable.Function(names(EDA.Bar.Source)[15]),
EDA.PropTable.Function(names(EDA.Bar.Source)[16]),
EDA.PropTable.Function(names(EDA.Bar.Source)[17]),
EDA.PropTable.Function(names(EDA.Bar.Source)[18]),
EDA.PropTable.Function(names(EDA.Bar.Source)[19]),
EDA.PropTable.Function(names(EDA.Bar.Source)[20]),
EDA.PropTable.Function(names(EDA.Bar.Source)[21]),
EDA.PropTable.Function(names(EDA.Bar.Source)[22]),
EDA.PropTable.Function(names(EDA.Bar.Source)[23]),
EDA.PropTable.Function(names(EDA.Bar.Source)[24]),
EDA.PropTable.Function(names(EDA.Bar.Source)[25]),
EDA.PropTable.Function(names(EDA.Bar.Source)[26]),
EDA.PropTable.Function(names(EDA.Bar.Source)[27]),
EDA.PropTable.Function(names(EDA.Bar.Source)[28]),
EDA.PropTable.Function(names(EDA.Bar.Source)[29]),
EDA.PropTable.Function(names(EDA.Bar.Source)[30]),
EDA.PropTable.Function(names(EDA.Bar.Source)[31]),
EDA.PropTable.Function(names(EDA.Bar.Source)[32]),
EDA.PropTable.Function(names(EDA.Bar.Source)[33]),
EDA.PropTable.Function(names(EDA.Bar.Source)[34]),
EDA.PropTable.Function(names(EDA.Bar.Source)[35]),
EDA.PropTable.Function(names(EDA.Bar.Source)[36]),
EDA.PropTable.Function(names(EDA.Bar.Source)[37]),
EDA.PropTable.Function(names(EDA.Bar.Source)[38]),
EDA.PropTable.Function(names(EDA.Bar.Source)[39]),
EDA.PropTable.Function(names(EDA.Bar.Source)[40]),
EDA.PropTable.Function(names(EDA.Bar.Source)[41]))
(EDA.Barchart.FactorVar <- barchart(EDA.Bar.Source.FactorVar.Prop.Group1[,3] ~
EDA.Bar.Source.FactorVar.Prop.Group1[,2] | EDA.Bar.Source.FactorVar.Prop.Group1[,4],
data=EDA.Bar.Source.FactorVar.Prop.Group1,
groups = EDA.Bar.Source.FactorVar.Prop.Group1[,1],
stack=TRUE,
ylab = "Proportion",
xlab = "Structure",
auto.key = list(adj = 1),
layout=(c(9,5))))
1.5 Predictive Model Development
1.5.1 Logistic Regression (LR)
Logistic Regression models the relationship between the probability of an event (among two outcome levels) by having the log-odds of the event be a linear combination of a set of predictors weighted by their respective parameter estimates. The parameters are estimated via maximum likelihood estimation by testing different values through multiple iterations to optimize for the best fit of log odds. All of these iterations produce the log likelihood function, and logistic regression seeks to maximize this function to find the best parameter estimates. Given the optimal parameters, the conditional probabilities for each observation can be calculated, logged, and summed together to yield a predicted probability.
[A] The logistic regression model from the stats package was implemented through the caret package.
[B] The model does not contain any hyperparameter.
[C] The cross-validated model performance of the final model is summarized as follows:
[C.1] Final model configuration is fixed due to the absence of a hyperparameter
[C.2] AUROC = 0.86164
[D] The model allows for ranking of predictors in terms of variable importance. The top-performing predictors in the model are as follows:
[D.1] FP063 (Structure=1) variable (factor)
[D.2] MolWeight variable (numeric)
[D.3] FP104 (Structure=1) variable (factor)
[D.4] FP012 (Structure=1) variable (factor)
[D.5] FP159 (Structure=1) variable (factor)
[E] The independent test model performance of the final model is summarized as follows:
[E.1] AUROC = 0.87303
Code Chunk | Output
##################################
# Creating a local object
# for the train and test sets
##################################
PMA_PreModelling_Train_LR <- PMA_PreModelling_Train
PMA_PreModelling_Test_LR <- PMA_PreModelling_Test
##################################
# Creating consistent fold assignments
# for the 10-Fold Cross Validation process
##################################
set.seed(12345678)
KFold_Indices <- createFolds(PMA_PreModelling_Train_LR$Log_Solubility_Class,
k = 10,
returnTrain=TRUE)
KFold_Control <- trainControl(method="cv",
index=KFold_Indices,
summaryFunction = twoClassSummary,
classProbs = TRUE)
##################################
# Setting the conditions
# for hyperparameter tuning
##################################
# No hyperparameter tuning process conducted
# hyperparameter=intercept fixed to TRUE
##################################
# Running the logistic regression model
# by setting the caret method to 'glm'
##################################
set.seed(12345678)
LR_Tune <- train(x = PMA_PreModelling_Train_LR[,!names(PMA_PreModelling_Train_LR) %in% c("Log_Solubility_Class")],
y = PMA_PreModelling_Train_LR$Log_Solubility_Class,
method = "glm",
metric = "ROC",
trControl = KFold_Control)
##################################
# Reporting the cross-validation results
# for the train set
##################################
LR_Tune## Generalized Linear Model
##
## 951 samples
## 220 predictors
## 2 classes: 'Low', 'High'
##
## No pre-processing
## Resampling: Cross-Validated (10 fold)
## Summary of sample sizes: 857, 855, 857, 855, 856, 856, ...
## Resampling results:
##
## ROC Sens Spec
## 0.8616392 0.7961794 0.8436865LR_Tune$finalModel##
## Call: NULL
##
## Coefficients:
## (Intercept) FP0011 FP0021 FP0031
## -73.478 23.642 -63.792 29.009
## FP0041 FP0051 FP0061 FP0071
## -61.233 -10.359 126.716 4.106
## FP0081 FP0091 FP0101 FP0111
## 44.714 -148.358 32.580 -35.712
## FP0121 FP0131 FP0141 FP0151
## 150.447 100.835 -100.478 -51.850
## FP0161 FP0171 FP0181 FP0191
## 14.599 -72.252 -76.040 123.798
## FP0201 FP0211 FP0221 FP0231
## -39.270 137.655 -140.820 -33.305
## FP0241 FP0251 FP0261 FP0271
## 50.910 109.986 -59.291 -100.391
## FP0281 FP0291 FP0301 FP0311
## -53.217 120.259 -6.067 4.267
## FP0321 FP0331 FP0341 FP0351
## -142.025 154.036 91.367 -31.286
## FP0361 FP0371 FP0381 FP0391
## 3.235 76.462 4.078 35.413
## FP0401 FP0411 FP0421 FP0431
## -94.345 -143.696 114.618 -155.763
## FP0441 FP0451 FP0461 FP0471
## 11.007 50.524 72.530 -17.550
## FP0481 FP0491 FP0501 FP0511
## 19.321 -32.341 -45.643 26.443
## FP0521 FP0531 FP0541 FP0551
## 31.135 67.873 17.110 10.667
## FP0561 FP0571 FP0581 FP0591
## 23.892 -57.760 120.795 26.711
## FP0601 FP0611 FP0621 FP0631
## 16.357 -35.503 167.909 306.142
## FP0641 FP0651 FP0661 FP0671
## 21.204 3.992 -2.965 -51.198
## FP0681 FP0691 FP0701 FP0711
## -197.983 28.044 3.822 13.276
## FP0721 FP0731 FP0741 FP0751
## 96.718 9.386 6.163 62.776
## FP0761 FP0771 FP0781 FP0791
## 61.763 -1.026 -46.437 -52.010
## FP0801 FP0811 FP0821 FP0831
## 97.374 -8.238 12.896 -131.968
## FP0841 FP0851 FP0861 FP0871
## 67.549 -11.058 3.183 5.585
## FP0881 FP0891 FP0901 FP0911
## 32.577 -48.514 28.546 124.351
## FP0921 FP0931 FP0941 FP0951
## 109.202 59.604 -43.210 -69.740
## FP0961 FP0971 FP0981 FP0991
## 31.873 -63.515 -22.406 29.279
## FP1001 FP1011 FP1021 FP1031
## 124.565 -64.999 -116.518 9.557
## FP1041 FP1051 FP1061 FP1071
## -75.807 -9.512 -37.698 -40.447
## FP1081 FP1091 FP1101 FP1111
## -55.197 -24.950 -146.311 -71.819
## FP1121 FP1131 FP1141 FP1151
## -13.401 -8.784 -80.249 35.511
## FP1161 FP1171 FP1181 FP1191
## 25.361 51.423 -46.085 102.543
## FP1201 FP1211 FP1221 FP1231
## -115.444 -5.854 91.088 -47.361
## FP1241 FP1251 FP1261 FP1271
## 21.566 73.821 -83.394 17.137
## FP1281 FP1291 FP1301 FP1311
## 9.615 18.670 139.606 106.283
## FP1321 FP1331 FP1341 FP1351
## -60.900 24.554 64.458 38.337
## FP1361 FP1371 FP1381 FP1391
## -211.682 109.808 -122.970 -54.319
## FP1401 FP1411 FP1421 FP1431
## 66.218 -252.454 -43.329 126.016
## FP1441 FP1451 FP1461 FP1471
## 17.968 -18.638 -109.857 -14.412
## FP1481 FP1491 FP1501 FP1511
## -14.780 24.576 -13.686 -183.721
## FP1521 FP1531 FP1551 FP1561
## 139.475 29.879 114.250 -230.935
## FP1571 FP1581 FP1591 FP1601
## -158.006 -98.477 386.562 -85.277
## FP1611 FP1621 FP1631 FP1641
## 73.919 -12.368 -46.209 48.885
## FP1651 FP1661 FP1671 FP1681
## 35.933 -27.182 -152.769 103.681
## FP1691 FP1701 FP1711 FP1721
## -22.744 -6.383 96.779 -18.229
## FP1731 FP1741 FP1751 FP1761
## -67.084 -144.129 2.561 -107.016
## FP1771 FP1781 FP1791 FP1801
## 56.955 -58.915 62.378 -46.265
## FP1811 FP1821 FP1831 FP1841
## -79.937 -104.797 -116.208 74.850
## FP1851 FP1861 FP1871 FP1881
## 64.332 2.161 -44.703 32.183
## FP1891 FP1901 FP1911 FP1921
## -27.250 20.897 -11.267 138.402
## FP1931 FP1941 FP1951 FP1961
## 98.767 113.569 46.129 -148.367
## FP1971 FP1981 FP2011 FP2021
## -115.916 -63.312 29.714 9.347
## FP2031 FP2041 FP2051 FP2061
## -130.341 55.393 -31.422 8.553
## FP2071 FP2081 MolWeight NumBonds
## 0.389 30.840 -90.607 -122.580
## NumMultBonds NumRotBonds NumDblBonds NumCarbon
## -116.050 -31.516 78.549 65.370
## NumNitrogen NumOxygen NumSulfer NumChlorine
## 95.518 116.199 59.793 -9.772
## NumHalogen NumRings HydrophilicFactor SurfaceArea1
## -1.850 92.579 139.414 46.155
## SurfaceArea2
## -264.909
##
## Degrees of Freedom: 950 Total (i.e. Null); 730 Residual
## Null Deviance: 1308
## Residual Deviance: 1.502e-07 AIC: 442LR_Tune$results## parameter ROC Sens Spec ROCSD SensSD SpecSD
## 1 none 0.8616392 0.7961794 0.8436865 0.04359539 0.06796609 0.06105881(LR_Train_ROCCurveAUC <- LR_Tune$results$ROC)## [1] 0.8616392##################################
# Identifying and plotting the
# best model predictors
##################################
LR_VarImp <- varImp(LR_Tune, scale = TRUE)
plot(LR_VarImp,
top=25,
scales=list(y=list(cex = .95)),
main="Ranked Variable Importance : Logistic Regression",
xlab="Scaled Variable Importance Metrics",
ylab="Predictors",
cex=2,
origin=0,
alpha=0.45)
##################################
# Independently evaluating the model
# on the test set
##################################
LR_Test <- data.frame(LR_Observed = PMA_PreModelling_Test_LR$Log_Solubility_Class,
LR_Predicted = predict(LR_Tune,
PMA_PreModelling_Test_LR[,!names(PMA_PreModelling_Test_LR) %in% c("Log_Solubility_Class")],
type = "prob"))
LR_Test## LR_Observed LR_Predicted.Low LR_Predicted.High
## 20 High 2.220446e-16 1.000000e+00
## 21 High 2.220446e-16 1.000000e+00
## 23 High 2.220446e-16 1.000000e+00
## 25 High 2.220446e-16 1.000000e+00
## 28 High 5.891554e-08 9.999999e-01
## 31 High 2.220446e-16 1.000000e+00
## 32 High 2.220446e-16 1.000000e+00
## 33 High 2.220446e-16 1.000000e+00
## 34 High 2.220446e-16 1.000000e+00
## 37 High 2.220446e-16 1.000000e+00
## 38 High 2.220446e-16 1.000000e+00
## 42 High 2.220446e-16 1.000000e+00
## 49 High 2.220446e-16 1.000000e+00
## 54 High 2.220446e-16 1.000000e+00
## 55 High 2.220446e-16 1.000000e+00
## 58 High 2.220446e-16 1.000000e+00
## 60 High 2.220446e-16 1.000000e+00
## 61 High 2.220446e-16 1.000000e+00
## 65 High 2.220446e-16 1.000000e+00
## 69 High 2.220446e-16 1.000000e+00
## 73 High 2.220446e-16 1.000000e+00
## 86 High 2.220446e-16 1.000000e+00
## 90 High 2.220446e-16 1.000000e+00
## 91 High 2.220446e-16 1.000000e+00
## 93 High 2.220446e-16 1.000000e+00
## 96 High 2.220446e-16 1.000000e+00
## 98 High 2.220446e-16 1.000000e+00
## 100 High 2.220446e-16 1.000000e+00
## 104 High 2.220446e-16 1.000000e+00
## 112 High 2.220446e-16 1.000000e+00
## 115 High 2.220446e-16 1.000000e+00
## 119 High 2.220446e-16 1.000000e+00
## 128 High 2.220446e-16 1.000000e+00
## 130 High 2.220446e-16 1.000000e+00
## 139 High 2.220446e-16 1.000000e+00
## 143 High 2.220446e-16 1.000000e+00
## 145 High 2.220446e-16 1.000000e+00
## 146 High 2.220446e-16 1.000000e+00
## 149 High 2.220446e-16 1.000000e+00
## 150 High 2.220446e-16 1.000000e+00
## 152 High 2.220446e-16 1.000000e+00
## 157 High 2.220446e-16 1.000000e+00
## 161 High 2.220446e-16 1.000000e+00
## 162 High 2.220446e-16 1.000000e+00
## 166 High 2.220446e-16 1.000000e+00
## 167 High 2.220446e-16 1.000000e+00
## 173 High 2.220446e-16 1.000000e+00
## 176 High 2.220446e-16 1.000000e+00
## 182 High 2.220446e-16 1.000000e+00
## 187 High 2.220446e-16 1.000000e+00
## 190 High 2.220446e-16 1.000000e+00
## 194 High 2.220446e-16 1.000000e+00
## 195 High 2.220446e-16 1.000000e+00
## 201 High 2.220446e-16 1.000000e+00
## 207 High 2.220446e-16 1.000000e+00
## 208 High 2.220446e-16 1.000000e+00
## 215 High 2.220446e-16 1.000000e+00
## 222 High 6.031581e-02 9.396842e-01
## 224 High 2.220446e-16 1.000000e+00
## 231 High 2.220446e-16 1.000000e+00
## 236 High 2.220446e-16 1.000000e+00
## 237 High 2.220446e-16 1.000000e+00
## 240 High 2.220446e-16 1.000000e+00
## 243 High 2.220446e-16 1.000000e+00
## 248 High 2.220446e-16 1.000000e+00
## 251 High 2.220446e-16 1.000000e+00
## 256 High 1.000000e+00 2.220446e-16
## 258 High 1.321706e-07 9.999999e-01
## 262 High 2.220446e-16 1.000000e+00
## 266 High 2.220446e-16 1.000000e+00
## 272 High 2.220446e-16 1.000000e+00
## 280 High 2.220446e-16 1.000000e+00
## 283 High 2.220446e-16 1.000000e+00
## 286 High 2.220446e-16 1.000000e+00
## 287 High 9.130220e-01 8.697796e-02
## 289 High 2.220446e-16 1.000000e+00
## 290 High 9.999585e-01 4.152350e-05
## 298 High 2.220446e-16 1.000000e+00
## 305 High 2.220446e-16 1.000000e+00
## 306 High 2.220446e-16 1.000000e+00
## 312 High 2.220446e-16 1.000000e+00
## 320 High 2.220446e-16 1.000000e+00
## 325 High 1.000000e+00 2.220446e-16
## 332 High 2.220446e-16 1.000000e+00
## 333 High 2.220446e-16 1.000000e+00
## 335 High 2.220446e-16 1.000000e+00
## 339 High 1.000000e+00 1.297243e-13
## 346 High 2.220446e-16 1.000000e+00
## 347 High 2.220446e-16 1.000000e+00
## 350 High 2.220446e-16 1.000000e+00
## 353 High 2.220446e-16 1.000000e+00
## 358 High 6.755818e-11 1.000000e+00
## 365 High 2.220446e-16 1.000000e+00
## 367 High 2.220446e-16 1.000000e+00
## 370 High 2.220446e-16 1.000000e+00
## 379 High 1.000000e+00 2.220446e-16
## 386 High 2.220446e-16 1.000000e+00
## 394 High 1.000000e+00 2.220446e-16
## 396 High 2.220446e-16 1.000000e+00
## 400 High 1.153293e-10 1.000000e+00
## 404 High 2.220446e-16 1.000000e+00
## 405 High 2.305626e-02 9.769437e-01
## 413 High 2.220446e-16 1.000000e+00
## 415 High 2.220446e-16 1.000000e+00
## 417 High 1.000000e+00 2.220446e-16
## 418 High 2.220446e-16 1.000000e+00
## 423 High 2.220446e-16 1.000000e+00
## 434 High 1.124513e-07 9.999999e-01
## 437 High 1.000000e+00 2.220446e-16
## 440 High 1.000000e+00 2.220446e-16
## 449 High 2.220446e-16 1.000000e+00
## 450 High 1.000000e+00 2.220446e-16
## 457 High 2.220446e-16 1.000000e+00
## 467 High 1.000000e+00 2.220446e-16
## 469 High 2.220446e-16 1.000000e+00
## 474 High 1.000000e+00 2.220446e-16
## 475 High 1.000000e+00 2.220446e-16
## 485 High 1.000000e+00 2.220446e-16
## 504 Low 2.220446e-16 1.000000e+00
## 511 Low 1.000000e+00 2.220446e-16
## 512 Low 2.220446e-16 1.000000e+00
## 517 Low 2.220446e-16 1.000000e+00
## 519 Low 1.000000e+00 2.220446e-16
## 520 Low 1.000000e+00 2.220446e-16
## 522 Low 2.220446e-16 1.000000e+00
## 527 Low 2.220446e-16 1.000000e+00
## 528 Low 1.000000e+00 2.220446e-16
## 529 Low 1.000000e+00 2.220446e-16
## 537 Low 1.000000e+00 2.220446e-16
## 540 Low 2.220446e-16 1.000000e+00
## 541 Low 1.000000e+00 1.735441e-12
## 547 Low 1.000000e+00 2.220446e-16
## 550 Low 1.000000e+00 2.220446e-16
## 555 Low 1.000000e+00 2.220446e-16
## 564 Low 1.000000e+00 2.220446e-16
## 570 Low 1.000000e+00 2.220446e-16
## 573 Low 1.000000e+00 1.200116e-08
## 575 Low 1.000000e+00 4.090493e-11
## 578 Low 2.220446e-16 1.000000e+00
## 581 Low 2.220446e-16 1.000000e+00
## 585 Low 2.001904e-04 9.997998e-01
## 590 Low 1.000000e+00 2.220446e-16
## 601 Low 1.000000e+00 2.220446e-16
## 602 Low 2.220446e-16 1.000000e+00
## 607 Low 2.220446e-16 1.000000e+00
## 610 Low 1.000000e+00 2.220446e-16
## 618 Low 2.220446e-16 1.000000e+00
## 624 Low 1.000000e+00 2.220446e-16
## 626 Low 1.000000e+00 2.220446e-16
## 627 Low 1.000000e+00 2.220446e-16
## 634 Low 1.000000e+00 2.008828e-09
## 640 Low 1.000000e+00 2.220446e-16
## 642 Low 1.000000e+00 2.220446e-16
## 643 Low 1.000000e+00 2.220446e-16
## 644 Low 2.220446e-16 1.000000e+00
## 645 Low 2.220446e-16 1.000000e+00
## 646 Low 1.000000e+00 2.220446e-16
## 647 Low 1.000000e+00 2.220446e-16
## 652 Low 1.000000e+00 2.220446e-16
## 658 Low 1.000000e+00 2.220446e-16
## 659 Low 9.999675e-01 3.251575e-05
## 660 Low 1.000000e+00 2.220446e-16
## 664 Low 4.952154e-05 9.999505e-01
## 666 Low 1.000000e+00 2.220446e-16
## 667 Low 1.000000e+00 2.220446e-16
## 675 Low 1.000000e+00 2.220446e-16
## 680 Low 1.000000e+00 2.220446e-16
## 681 Low 9.726381e-01 2.736193e-02
## 687 Low 1.000000e+00 2.220446e-16
## 694 Low 1.000000e+00 2.220446e-16
## 697 Low 1.000000e+00 2.220446e-16
## 701 Low 1.000000e+00 2.220446e-16
## 705 Low 1.000000e+00 2.220446e-16
## 707 Low 1.000000e+00 2.220446e-16
## 710 Low 1.000000e+00 2.220446e-16
## 716 Low 1.000000e+00 1.592413e-11
## 719 Low 1.000000e+00 2.220446e-16
## 720 Low 1.000000e+00 2.220446e-16
## 725 Low 1.000000e+00 2.220446e-16
## 727 Low 1.000000e+00 2.220446e-16
## 730 Low 1.000000e+00 2.220446e-16
## 738 Low 2.220446e-16 1.000000e+00
## 745 Low 1.000000e+00 2.220446e-16
## 748 Low 1.000000e+00 2.220446e-16
## 751 Low 1.000000e+00 2.220446e-16
## 756 Low 1.000000e+00 2.220446e-16
## 766 Low 1.000000e+00 2.220446e-16
## 769 Low 1.000000e+00 2.220446e-16
## 783 Low 1.000000e+00 2.220446e-16
## 785 Low 1.000000e+00 2.220446e-16
## 790 Low 1.000000e+00 2.220446e-16
## 793 Low 1.000000e+00 2.220446e-16
## 795 Low 1.000000e+00 2.220446e-16
## 796 Low 1.000000e+00 2.220446e-16
## 797 Low 1.000000e+00 2.220446e-16
## 801 Low 1.000000e+00 2.220446e-16
## 811 Low 1.000000e+00 2.220446e-16
## 812 Low 1.000000e+00 2.220446e-16
## 815 Low 1.000000e+00 2.220446e-16
## 816 Low 1.000000e+00 2.220446e-16
## 817 Low 1.000000e+00 2.220446e-16
## 824 Low 1.000000e+00 2.220446e-16
## 825 Low 1.000000e+00 2.220446e-16
## 826 Low 1.000000e+00 2.220446e-16
## 830 Low 1.000000e+00 2.220446e-16
## 837 Low 1.000000e+00 2.220446e-16
## 838 Low 1.000000e+00 2.220446e-16
## 844 Low 1.000000e+00 2.220446e-16
## 845 Low 1.000000e+00 2.220446e-16
## 847 Low 1.000000e+00 2.220446e-16
## 850 Low 1.000000e+00 2.220446e-16
## 852 Low 1.000000e+00 2.220446e-16
## 853 Low 1.000000e+00 2.220446e-16
## 861 Low 1.000000e+00 2.220446e-16
## 868 Low 1.000000e+00 2.220446e-16
## 874 Low 1.000000e+00 2.220446e-16
## 879 High 2.220446e-16 1.000000e+00
## 895 High 2.220446e-16 1.000000e+00
## 899 High 2.220446e-16 1.000000e+00
## 903 High 2.220446e-16 1.000000e+00
## 917 High 2.220446e-16 1.000000e+00
## 927 High 2.220446e-16 1.000000e+00
## 929 High 2.220446e-16 1.000000e+00
## 931 High 2.220446e-16 1.000000e+00
## 933 High 2.220446e-16 1.000000e+00
## 944 High 2.220446e-16 1.000000e+00
## 947 High 2.220446e-16 1.000000e+00
## 949 High 2.220446e-16 1.000000e+00
## 953 High 2.220446e-16 1.000000e+00
## 958 High 1.000000e+00 5.733170e-09
## 961 High 2.220446e-16 1.000000e+00
## 963 High 2.220446e-16 1.000000e+00
## 964 High 2.220446e-16 1.000000e+00
## 973 High 2.220446e-16 1.000000e+00
## 976 High 2.220446e-16 1.000000e+00
## 977 High 2.220446e-16 1.000000e+00
## 980 High 2.220446e-16 1.000000e+00
## 983 High 2.220446e-16 1.000000e+00
## 984 High 2.220446e-16 1.000000e+00
## 986 High 2.220446e-16 1.000000e+00
## 989 High 2.220446e-16 1.000000e+00
## 991 High 2.220446e-16 1.000000e+00
## 996 High 2.220446e-16 1.000000e+00
## 997 High 1.000000e+00 2.220446e-16
## 999 High 2.220446e-16 1.000000e+00
## 1000 High 2.220446e-16 1.000000e+00
## 1003 High 2.220446e-16 1.000000e+00
## 1008 High 2.220446e-16 1.000000e+00
## 1009 High 2.220446e-16 1.000000e+00
## 1014 High 2.220446e-16 1.000000e+00
## 1015 High 2.220446e-16 1.000000e+00
## 1040 High 1.000000e+00 2.220446e-16
## 1042 High 2.220446e-16 1.000000e+00
## 1043 High 1.000000e+00 2.220446e-16
## 1050 High 1.000000e+00 2.220446e-16
## 1052 High 2.220446e-16 1.000000e+00
## 1056 High 2.220446e-16 1.000000e+00
## 1070 High 2.220446e-16 1.000000e+00
## 1073 High 1.000000e+00 2.220446e-16
## 1074 High 2.220446e-16 1.000000e+00
## 1079 High 2.220446e-16 1.000000e+00
## 1080 High 2.220446e-16 1.000000e+00
## 1085 High 2.220446e-16 1.000000e+00
## 1087 High 2.220446e-16 1.000000e+00
## 1096 High 3.436140e-12 1.000000e+00
## 1099 High 2.220446e-16 1.000000e+00
## 1100 High 1.000000e+00 5.528555e-09
## 1102 High 2.220446e-16 1.000000e+00
## 1107 Low 9.922518e-01 7.748197e-03
## 1109 Low 2.220446e-16 1.000000e+00
## 1114 Low 1.000000e+00 2.220446e-16
## 1118 Low 1.000000e+00 2.220446e-16
## 1123 Low 1.000000e+00 2.220446e-16
## 1132 Low 1.000000e+00 2.220446e-16
## 1134 Low 1.844113e-09 1.000000e+00
## 1137 Low 1.000000e+00 2.220446e-16
## 1154 Low 1.000000e+00 2.220446e-16
## 1155 Low 2.220446e-16 1.000000e+00
## 1157 Low 1.000000e+00 2.220446e-16
## 1162 Low 1.000000e+00 2.220446e-16
## 1164 Low 1.000000e+00 2.220446e-16
## 1171 Low 1.000000e+00 2.220446e-16
## 1172 Low 2.286852e-09 1.000000e+00
## 1175 Low 1.000000e+00 2.220446e-16
## 1177 Low 1.000000e+00 2.220446e-16
## 1179 Low 1.000000e+00 9.377950e-11
## 1183 Low 1.000000e+00 2.875438e-12
## 1185 Low 2.220446e-16 1.000000e+00
## 1189 Low 1.000000e+00 2.220446e-16
## 1211 Low 1.000000e+00 2.220446e-16
## 1218 Low 2.220446e-16 1.000000e+00
## 1224 Low 1.000000e+00 2.220446e-16
## 1225 Low 1.000000e+00 2.220446e-16
## 1227 Low 1.000000e+00 2.220446e-16
## 1232 Low 1.000000e+00 2.220446e-16
## 1235 Low 1.000000e+00 2.220446e-16
## 1238 Low 1.000000e+00 2.220446e-16
## 1240 Low 1.000000e+00 2.220446e-16
## 1241 Low 1.000000e+00 2.220446e-16
## 1248 Low 1.000000e+00 2.220446e-16
## 1258 Low 1.000000e+00 2.220446e-16
## 1261 Low 1.000000e+00 2.220446e-16
## 1263 Low 1.000000e+00 2.220446e-16
## 1269 Low 1.000000e+00 2.220446e-16
## 1270 Low 1.000000e+00 2.220446e-16
## 1271 Low 1.000000e+00 2.220446e-16
## 1272 Low 1.000000e+00 2.220446e-16
## 1280 Low 1.000000e+00 2.220446e-16
## 1286 Low 1.000000e+00 2.220446e-16
## 1287 Low 1.000000e+00 2.220446e-16
## 1289 Low 1.000000e+00 2.220446e-16
## 1290 Low 1.000000e+00 2.220446e-16
## 1291 High 2.220446e-16 1.000000e+00
## 1294 High 2.220446e-16 1.000000e+00
## 1305 Low 1.000000e+00 2.220446e-16
## 1308 High 1.000000e+00 2.220446e-16##################################
# Reporting the independent evaluation results
# for the test set
##################################
LR_Test_ROC <- roc(response = LR_Test$LR_Observed,
predictor = LR_Test$LR_Predicted.High,
levels = rev(levels(LR_Test$LR_Observed)))
(LR_Test_ROCCurveAUC <- auc(LR_Test_ROC)[1])## [1] 0.87303451.5.2 Linear Discriminant Analysis (LDA)
Linear Discriminant Analysis finds a linear combination of features that best separates the classes in a data set by projecting the data onto a lower-dimensional space that maximizes the separation between the classes. The algorithm searches for a set of linear discriminants that maximize the ratio of between-class variance to within-class variance by evaluating directions in the feature space that best separate the different classes of data. LDA assumes that the data has a Gaussian distribution and that the covariance matrices of the different classes are equal, in addition to the data being linearly separable by the presence of a linear decision boundary can accurately classify the different classes.
[A] The linear discriminant analysis model from the MASS package was implemented through the caret package.
[B] The model does not contain any hyperparameter.
[C] The cross-validated model performance of the final model is summarized as follows:
[C.1] Final model configuration is fixed due to the absence of a hyperparameter
[C.2] AUROC = 0.90968
[D] The model does not allow for ranking of predictors in terms of variable importance.
[E] The independent test model performance of the final model is summarized as follows:
[E.1] AUROC = 0.92138
Code Chunk | Output
##################################
# Transforming factor predictors
# as required by the nature of the model
##################################
# Creating a local object
# for the train and test sets
##################################
PMA_PreModelling_Train_LDA <- as.data.frame(lapply(PMA_PreModelling_Train[,!names(PMA_PreModelling_Train) %in%
c("Log_Solubility_Class")],
function(x) as.numeric(as.character(x))))
PMA_PreModelling_Train_LDA$Log_Solubility_Class <- PMA_PreModelling_Train$Log_Solubility_Class
dim(PMA_PreModelling_Train_LDA)## [1] 951 221PMA_PreModelling_Test_LDA <- as.data.frame(lapply(PMA_PreModelling_Test[,!names(PMA_PreModelling_Test) %in%
c("Log_Solubility_Class")],
function(x) as.numeric(as.character(x))))
PMA_PreModelling_Test_LDA$Log_Solubility_Class <- PMA_PreModelling_Test$Log_Solubility_Class
dim(PMA_PreModelling_Test_LDA)## [1] 316 221##################################
# Creating consistent fold assignments
# for the 10-Fold Cross Validation process
##################################
set.seed(12345678)
KFold_Indices <- createFolds(PMA_PreModelling_Train_LDA$Log_Solubility_Class,
k = 10,
returnTrain=TRUE)
KFold_Control <- trainControl(method="cv",
index=KFold_Indices,
summaryFunction = twoClassSummary,
classProbs = TRUE)
##################################
# Setting the conditions
# for hyperparameter tuning
##################################
# No hyperparameter tuning process conducted
##################################
# Running the linear discriminant analysis model
# by setting the caret method to 'lda'
##################################
set.seed(12345678)
LDA_Tune <- train(x = PMA_PreModelling_Train_LDA[,!names(PMA_PreModelling_Train_LDA) %in% c("Log_Solubility_Class")],
y = PMA_PreModelling_Train_LDA$Log_Solubility_Class,
method = "lda",
preProc = c("center","scale"),
metric = "ROC",
trControl = KFold_Control)
##################################
# Reporting the cross-validation results
# for the train set
##################################
LDA_Tune## Linear Discriminant Analysis
##
## 951 samples
## 220 predictors
## 2 classes: 'Low', 'High'
##
## Pre-processing: centered (220), scaled (220)
## Resampling: Cross-Validated (10 fold)
## Summary of sample sizes: 857, 855, 857, 855, 856, 856, ...
## Resampling results:
##
## ROC Sens Spec
## 0.9096763 0.817165 0.8416909LDA_Tune$finalModel## Call:
## lda(x, y)
##
## Prior probabilities of groups:
## Low High
## 0.4490011 0.5509989
##
## Group means:
## FP001 FP002 FP003 FP004 FP005 FP006
## Low -0.04954059 0.2801751 0.007856301 -0.06481098 0.2731141 -0.1627379
## High 0.04036991 -0.2283107 -0.006401986 0.05281352 -0.2225567 0.1326128
## FP007 FP008 FP009 FP010 FP011 FP012
## Low 0.03233293 0.1438642 0.3158384 -0.09365294 -0.1402546 -0.02106485
## High -0.02634763 -0.1172328 -0.2573722 0.07631642 0.1142914 0.01716544
## FP013 FP014 FP015 FP016 FP017 FP018
## Low 0.3525294 0.3395685 -0.1976220 0.03040486 0.1365611 0.1376840
## High -0.2872711 -0.2767094 0.1610393 -0.02477648 -0.1112817 -0.1121967
## FP019 FP020 FP021 FP022 FP023 FP024
## Low -0.007754077 -0.04457870 0.05287346 -0.003457511 0.11021758 -0.01513399
## High 0.006318685 0.03632653 -0.04308582 0.002817476 -0.08981471 0.01233247
## FP025 FP026 FP027 FP028 FP029 FP030
## Low -0.04676690 0.06813605 -0.10840914 -0.03304107 0.02665863 -0.05594394
## High 0.03810967 -0.05552308 0.08834103 0.02692469 -0.02172373 0.04558790
## FP031 FP032 FP033 FP034 FP035 FP036
## Low 0.03146379 -0.07556463 -0.06110273 0.05072117 0.1716135 -0.1267802
## High -0.02563939 0.06157652 0.04979173 -0.04133194 -0.1398453 0.1033113
## FP037 FP038 FP039 FP040 FP041 FP042
## Low 0.07241315 -0.04851628 0.1791850 -0.08519871 0.1546157 -0.03283123
## High -0.05900842 0.03953522 -0.1460152 0.06942720 -0.1259941 0.02675370
## FP043 FP044 FP045 FP046 FP047 FP048
## Low 0.06317712 0.2702580 0.11430896 0.1929160 0.1027778 0.03562711
## High -0.05148211 -0.2202293 -0.09314871 -0.1572045 -0.0837521 -0.02903202
## FP049 FP050 FP051 FP052 FP053 FP054
## Low 0.2711896 0.08856849 0.11478038 -0.03298863 0.2173025 0.1652162
## High -0.2209885 -0.07217317 -0.09353287 0.02688196 -0.1770766 -0.1346323
## FP055 FP056 FP057 FP058 FP059 FP060
## Low -0.06129149 0.1722025 0.04189625 0.011124158 0.1508474 -0.1341772
## High 0.04994555 -0.1403254 -0.03414064 -0.009064915 -0.1229234 0.1093390
## FP061 FP062 FP063 FP064 FP065 FP066
## Low -0.01330222 -0.06975983 -0.08447482 -0.04655345 0.3609846 -0.002018379
## High 0.01083978 0.05684628 0.06883730 0.03793573 -0.2941611 0.001644748
## FP067 FP068 FP069 FP070 FP071 FP072
## Low -0.03901753 -0.03145129 0.04161918 0.3288123 0.2861991 -0.2569933
## High 0.03179482 0.02562920 -0.03391486 -0.2679444 -0.2332195 0.2094201
## FP073 FP074 FP075 FP076 FP077 FP078
## Low -0.1389273 -0.04868503 -0.07210725 0.4980956 0.07048212 0.02157141
## High 0.1132098 0.03967273 0.05875916 -0.4058909 -0.05743486 -0.01757823
## FP079 FP080 FP081 FP082 FP083 FP084
## Low 0.3463924 -0.05762649 0.07838924 0.3373452 -0.1404314 -0.03174270
## High -0.2822702 0.04695899 -0.06387826 -0.2748977 0.1144355 0.02586667
## FP085 FP086 FP087 FP088 FP089 FP090
## Low 0.3053243 0.10584011 0.3032336 -0.10767772 0.4204845 0.1059896
## High -0.2488043 -0.08624757 -0.2471007 0.08774501 -0.3426467 -0.0863694
## FP091 FP092 FP093 FP094 FP095 FP096
## Low 0.005121802 0.3533487 0.1680405 0.001219888 -0.04432336 0.0513720
## High -0.004173682 -0.2879388 -0.1369338 -0.000994069 0.03611847 -0.0418623
## FP097 FP098 FP099 FP100 FP101 FP102
## Low 0.2946914 -0.05760012 0.1732751 -0.07094028 -0.03318476 0.1329019
## High -0.2401397 0.04693750 -0.1411994 0.05780820 0.02704178 -0.1082999
## FP103 FP104 FP105 FP106 FP107 FP108
## Low 0.12235122 0.10579469 0.1648155 0.09092851 0.2794970 -0.003218840
## High -0.09970223 -0.08621056 -0.1343058 -0.07409632 -0.2277581 0.002622986
## FP109 FP110 FP111 FP112 FP113 FP114
## Low 0.1016844 -0.06946341 0.02377356 0.3898869 -0.07974936 0.06165111
## High -0.0828611 0.05660473 -0.01937273 -0.3177132 0.06498660 -0.05023859
## FP115 FP116 FP117 FP118 FP119 FP120
## Low 0.02852821 -0.03068122 0.10794595 -0.05443201 -0.02278350 -0.05623436
## High -0.02324722 0.02500168 -0.08796359 0.04435586 0.01856594 0.04582457
## FP121 FP122 FP123 FP124 FP125 FP126
## Low 0.11663727 0.006041735 0.1543669 -0.03269777 -0.02874788 -0.002036287
## High -0.09504602 -0.004923322 -0.1257913 0.02664494 0.02342623 0.001659341
## FP127 FP128 FP129 FP130 FP131 FP132
## Low -0.06557830 -0.06131717 0.1268166 0.06943777 0.007894091 -0.1233146
## High 0.05343881 0.04996647 -0.1033410 -0.05658383 -0.006432780 0.1004873
## FP133 FP134 FP135 FP136 FP137 FP138
## Low -0.02030227 0.10305010 0.007894091 -0.01173875 0.09228709 0.07739663
## High 0.01654402 -0.08397403 -0.006432780 0.00956574 -0.07520341 -0.06306939
## FP139 FP140 FP141 FP142 FP143 FP144
## Low 0.03393326 -0.05648327 0.1251016 0.03227952 0.04656681 -0.08010303
## High -0.02765172 0.04602740 -0.1019434 -0.02630411 -0.03794661 0.06527480
## FP145 FP146 FP147 FP148 FP149 FP150
## Low -0.04944482 0.2078579 -0.02212958 -0.03538806 0.2479928 -0.01454711
## High 0.04029187 -0.1693804 0.01803307 0.02883722 -0.2020858 0.01185423
## FP151 FP152 FP153 FP155 FP156 FP157
## Low -0.01833621 0.05952448 0.07666591 0.1875793 0.08155977 0.01464155
## High 0.01494191 -0.04850564 -0.06247394 -0.1528556 -0.06646187 -0.01193119
## FP158 FP159 FP160 FP161 FP162 FP163
## Low -0.07168155 0.07241315 0.007559130 -0.1721042 0.2505609 -0.07216223
## High 0.05841225 -0.05900842 -0.006159826 0.1402452 -0.2041784 0.05880396
## FP164 FP165 FP166 FP167 FP168 FP169
## Low 0.3096359 -0.03470786 0.1669255 -0.04032322 0.3362988 0.327927
## High -0.2523178 0.02828293 -0.1360252 0.03285881 -0.2740450 -0.267223
## FP170 FP171 FP172 FP173 FP174 FP175
## Low 0.11733598 -0.09542927 0.3613895 0.1501297 0.07871463 0.010478627
## High -0.09561539 0.07776393 -0.2944911 -0.1223385 -0.06414341 -0.008538881
## FP176 FP177 FP178 FP179 FP180 FP181
## Low -0.0006016742 0.02415692 0.1246648 0.06495599 -0.05898743 0.2012292
## High 0.0004902956 -0.01968512 -0.1015875 -0.05293170 0.04806800 -0.1639787
## FP182 FP183 FP184 FP185 FP186 FP187
## Low -0.03298749 -0.06484156 0.2620897 0.1478417 -0.02441762 0.009194087
## High 0.02688103 0.05283845 -0.2135731 -0.1204740 0.01989757 -0.007492128
## FP188 FP189 FP190 FP191 FP192 FP193
## Low -0.07592293 0.08109314 0.2167300 -0.01905305 0.08761784 0.2572220
## High 0.06186849 -0.06608162 -0.1766101 0.01552606 -0.07139851 -0.2096065
## FP194 FP195 FP196 FP197 FP198 FP201
## Low -0.02131844 -0.1471268 0.2099093 0.1945447 -0.08340218 -0.06764568
## High 0.01737209 0.1198915 -0.1710521 -0.1585317 0.06796323 0.05512348
## FP202 FP203 FP204 FP205 FP206 FP207
## Low 0.1551880 0.007780434 0.10033971 0.1640452 0.10262214 0.2099093
## High -0.1264604 -0.006340163 -0.08176537 -0.1336781 -0.08362529 -0.1710521
## FP208 MolWeight NumBonds NumMultBonds NumRotBonds NumDblBonds
## Low 0.01449529 0.6447051 0.5260887 0.4454402 0.2155584 0.07217700
## High -0.01181200 -0.5253608 -0.4287020 -0.3629828 -0.1756554 -0.05881599
## NumCarbon NumNitrogen NumOxygen NumSulfer NumChlorine NumHalogen
## Low 0.6263249 -0.02976857 -0.03406840 0.11971764 0.3118792 0.3385013
## High -0.5103830 0.02425798 0.02776184 -0.09755617 -0.2541458 -0.2758398
## NumRings HydrophilicFactor SurfaceArea1 SurfaceArea2
## Low 0.4841073 -0.2459915 -0.09225436 -0.04168274
## High -0.3944921 0.2004549 0.07517674 0.03396666
##
## Coefficients of linear discriminants:
## LD1
## FP001 0.012875326
## FP002 -0.248225553
## FP003 -0.187395370
## FP004 -0.433046298
## FP005 -0.362154129
## FP006 -0.020171530
## FP007 0.023306160
## FP008 -0.032081948
## FP009 -0.717769114
## FP010 0.110779863
## FP011 0.258826748
## FP012 0.209427218
## FP013 0.019882720
## FP014 -0.057333713
## FP015 -0.080915412
## FP016 -0.130667605
## FP017 -0.227574267
## FP018 -0.255928604
## FP019 -0.181709412
## FP020 -0.215412670
## FP021 0.501216467
## FP022 -0.357311775
## FP023 -0.052913180
## FP024 0.035967510
## FP025 0.177343692
## FP026 -0.323519114
## FP027 -0.007178850
## FP028 -0.032975063
## FP029 0.145296265
## FP030 -0.161155803
## FP031 0.046337595
## FP032 -0.743681838
## FP033 0.311424434
## FP034 0.094788437
## FP035 -0.202694496
## FP036 -0.032828299
## FP037 0.260679548
## FP038 -0.128056904
## FP039 0.089605500
## FP040 0.071442073
## FP041 -0.067564396
## FP042 0.930984536
## FP043 -0.169567237
## FP044 0.243967686
## FP045 0.080382127
## FP046 0.030736083
## FP047 -0.057942188
## FP048 0.008206059
## FP049 -0.037741091
## FP050 -0.147981935
## FP051 0.134845376
## FP052 0.176151364
## FP053 0.231774338
## FP054 -0.070601965
## FP055 0.014143815
## FP056 -0.095182501
## FP057 -0.007420043
## FP058 0.535139988
## FP059 -0.014252609
## FP060 -0.065950196
## FP061 -0.122312068
## FP062 0.393612442
## FP063 0.930813438
## FP064 0.065441624
## FP065 0.186805195
## FP066 0.167958525
## FP067 -0.212616346
## FP068 -0.519887504
## FP069 0.090686177
## FP070 0.200155899
## FP071 0.088134834
## FP072 0.908780645
## FP073 -0.250802725
## FP074 -0.082227983
## FP075 0.057002521
## FP076 0.013837596
## FP077 0.094264936
## FP078 -0.242277204
## FP079 -0.023865803
## FP080 0.439565858
## FP081 -0.077157657
## FP082 0.091106844
## FP083 -0.064042942
## FP084 -0.176819154
## FP085 -0.268673937
## FP086 0.030390219
## FP087 -0.194957587
## FP088 0.163794423
## FP089 -0.282944026
## FP090 0.009357220
## FP091 0.285834751
## FP092 0.459990457
## FP093 0.104850491
## FP094 -0.073168130
## FP095 -0.319889448
## FP096 0.066474232
## FP097 -0.136110771
## FP098 0.147457368
## FP099 0.211568568
## FP100 -0.076438380
## FP101 0.077177684
## FP102 -0.338795554
## FP103 0.006792125
## FP104 -0.386425756
## FP105 -0.069381157
## FP106 -0.058498907
## FP107 -0.230462820
## FP108 -0.094827896
## FP109 0.299118672
## FP110 -0.372150175
## FP111 -0.098659228
## FP112 -0.283228997
## FP113 0.093992519
## FP114 -0.140293999
## FP115 -0.049811746
## FP116 0.425814720
## FP117 -0.003831833
## FP118 -0.128014629
## FP119 0.484681499
## FP120 -0.328296417
## FP121 0.131825432
## FP122 0.193654715
## FP123 -0.192192593
## FP124 -0.084615248
## FP125 0.077673681
## FP126 -0.290792002
## FP127 0.058235282
## FP128 0.316749603
## FP129 0.376783202
## FP130 0.248127770
## FP131 0.282887048
## FP132 0.082237362
## FP133 0.077683007
## FP134 0.113216796
## FP135 -0.051285300
## FP136 -0.326880813
## FP137 0.145941700
## FP138 -0.178259305
## FP139 -0.320335708
## FP140 0.445465221
## FP141 -0.395738194
## FP142 -0.041396998
## FP143 0.224994152
## FP144 0.070763526
## FP145 -0.029325224
## FP146 -0.141322324
## FP147 0.107304633
## FP148 -0.056022933
## FP149 0.052097963
## FP150 0.087748229
## FP151 -0.015973030
## FP152 0.017502434
## FP153 0.049739096
## FP155 0.136703365
## FP156 -0.333916842
## FP157 -0.295929021
## FP158 -0.049526714
## FP159 0.333650313
## FP160 0.198974937
## FP161 -0.005771305
## FP162 0.065758353
## FP163 -0.274695492
## FP164 0.518357241
## FP165 0.159032681
## FP166 0.038381456
## FP167 -0.329079325
## FP168 -0.047259271
## FP169 -0.088937588
## FP170 0.163658892
## FP171 0.216749476
## FP172 0.009570624
## FP173 -0.085144281
## FP174 -0.031642714
## FP175 0.047375613
## FP176 -0.087959080
## FP177 0.229511308
## FP178 0.042694344
## FP179 0.290071401
## FP180 0.152923230
## FP181 -0.192565242
## FP182 -0.176167992
## FP183 0.412115851
## FP184 0.199266994
## FP185 0.167423298
## FP186 0.070957356
## FP187 -0.391419133
## FP188 -0.016694210
## FP189 -0.100533547
## FP190 -0.063175723
## FP191 0.038411139
## FP192 0.131234896
## FP193 0.014403687
## FP194 -0.627900664
## FP195 0.084256288
## FP196 -0.217704936
## FP197 -0.301977667
## FP198 0.056480096
## FP201 -0.009941918
## FP202 0.165033685
## FP203 -0.135845702
## FP204 -0.099068181
## FP205 0.005210160
## FP206 -0.001473758
## FP207 0.052079412
## FP208 -0.364736773
## MolWeight -0.879499894
## NumBonds -1.047867086
## NumMultBonds -0.325380591
## NumRotBonds -0.336768637
## NumDblBonds -0.182263696
## NumCarbon 0.625278394
## NumNitrogen 0.675860288
## NumOxygen 1.146841627
## NumSulfer 0.581387772
## NumChlorine -0.024337219
## NumHalogen 0.145791905
## NumRings -0.144261011
## HydrophilicFactor -0.100865167
## SurfaceArea1 0.980164468
## SurfaceArea2 -1.522398889LDA_Tune$results## parameter ROC Sens Spec ROCSD SensSD SpecSD
## 1 none 0.9096763 0.817165 0.8416909 0.02903576 0.06810246 0.05240927(LDA_Train_ROCCurveAUC <- LDA_Tune$results$ROC)## [1] 0.9096763##################################
# Identifying and plotting the
# best model predictors
##################################
# model does not support variable importance measurement
##################################
# Independently evaluating the model
# on the test set
##################################
LDA_Test <- data.frame(LDA_Observed = PMA_PreModelling_Test_LDA$Log_Solubility_Class,
LDA_Predicted = predict(LDA_Tune,
PMA_PreModelling_Test_LDA[,!names(PMA_PreModelling_Test_LDA) %in% c("Log_Solubility_Class")],
type = "prob"))
LDA_Test## LDA_Observed LDA_Predicted.Low LDA_Predicted.High
## 1 High 6.101853e-06 9.999939e-01
## 2 High 5.801348e-04 9.994199e-01
## 3 High 8.333462e-04 9.991667e-01
## 4 High 1.274634e-02 9.872537e-01
## 5 High 2.342759e-03 9.976572e-01
## 6 High 9.489361e-07 9.999991e-01
## 7 High 2.843413e-05 9.999716e-01
## 8 High 2.055907e-05 9.999794e-01
## 9 High 9.993396e-06 9.999900e-01
## 10 High 2.407199e-02 9.759280e-01
## 11 High 3.553017e-02 9.644698e-01
## 12 High 2.005432e-02 9.799457e-01
## 13 High 5.819250e-05 9.999418e-01
## 14 High 6.854088e-05 9.999315e-01
## 15 High 1.557334e-02 9.844267e-01
## 16 High 2.624025e-04 9.997376e-01
## 17 High 6.220519e-06 9.999938e-01
## 18 High 2.021402e-05 9.999798e-01
## 19 High 6.765133e-02 9.323487e-01
## 20 High 1.128928e-03 9.988711e-01
## 21 High 1.864596e-04 9.998135e-01
## 22 High 1.529233e-05 9.999847e-01
## 23 High 6.770491e-04 9.993230e-01
## 24 High 3.604555e-03 9.963954e-01
## 25 High 1.535838e-03 9.984642e-01
## 26 High 1.035444e-03 9.989646e-01
## 27 High 3.685756e-04 9.996314e-01
## 28 High 2.446010e-07 9.999998e-01
## 29 High 2.138715e-01 7.861285e-01
## 30 High 4.879130e-02 9.512087e-01
## 31 High 9.314797e-04 9.990685e-01
## 32 High 3.083479e-04 9.996917e-01
## 33 High 1.931832e-04 9.998068e-01
## 34 High 9.522193e-06 9.999905e-01
## 35 High 8.879957e-06 9.999911e-01
## 36 High 4.334430e-02 9.566557e-01
## 37 High 1.929392e-05 9.999807e-01
## 38 High 4.094468e-04 9.995906e-01
## 39 High 2.575069e-04 9.997425e-01
## 40 High 2.006488e-03 9.979935e-01
## 41 High 4.442402e-04 9.995558e-01
## 42 High 1.555145e-01 8.444855e-01
## 43 High 3.391193e-03 9.966088e-01
## 44 High 4.363344e-04 9.995637e-01
## 45 High 4.146480e-04 9.995854e-01
## 46 High 1.935511e-03 9.980645e-01
## 47 High 8.212070e-03 9.917879e-01
## 48 High 1.611458e-03 9.983885e-01
## 49 High 1.929248e-03 9.980708e-01
## 50 High 5.943037e-04 9.994057e-01
## 51 High 9.963823e-01 3.617746e-03
## 52 High 5.850619e-04 9.994149e-01
## 53 High 4.364703e-03 9.956353e-01
## 54 High 1.270009e-02 9.872999e-01
## 55 High 3.224993e-02 9.677501e-01
## 56 High 7.489621e-02 9.251038e-01
## 57 High 8.807745e-03 9.911923e-01
## 58 High 2.252293e-03 9.977477e-01
## 59 High 9.138841e-03 9.908612e-01
## 60 High 2.602806e-01 7.397194e-01
## 61 High 2.115881e-05 9.999788e-01
## 62 High 2.325644e-03 9.976744e-01
## 63 High 8.351655e-04 9.991648e-01
## 64 High 3.301942e-04 9.996698e-01
## 65 High 5.307614e-03 9.946924e-01
## 66 High 2.388042e-03 9.976120e-01
## 67 High 9.615860e-01 3.841395e-02
## 68 High 2.402377e-01 7.597623e-01
## 69 High 2.867821e-01 7.132179e-01
## 70 High 2.487167e-02 9.751283e-01
## 71 High 1.001441e-03 9.989986e-01
## 72 High 5.553754e-02 9.444625e-01
## 73 High 3.565931e-02 9.643407e-01
## 74 High 3.939077e-01 6.060923e-01
## 75 High 2.345573e-02 9.765443e-01
## 76 High 3.751948e-01 6.248052e-01
## 77 High 4.575808e-01 5.424192e-01
## 78 High 2.276101e-02 9.772390e-01
## 79 High 7.403096e-03 9.925969e-01
## 80 High 9.682064e-02 9.031794e-01
## 81 High 1.108423e-03 9.988916e-01
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## 252 High 2.190669e-02 9.780933e-01
## 253 High 2.724629e-01 7.275371e-01
## 254 High 7.200249e-01 2.799751e-01
## 255 High 6.241526e-01 3.758474e-01
## 256 High 2.442795e-02 9.755721e-01
## 257 High 2.769711e-05 9.999723e-01
## 258 High 4.861685e-02 9.513831e-01
## 259 High 9.940406e-01 5.959380e-03
## 260 High 5.298627e-03 9.947014e-01
## 261 High 1.096083e-01 8.903917e-01
## 262 High 1.955142e-03 9.980449e-01
## 263 High 1.019986e-01 8.980014e-01
## 264 High 4.602847e-01 5.397153e-01
## 265 High 8.446951e-01 1.553049e-01
## 266 High 5.435098e-05 9.999456e-01
## 267 High 9.187425e-02 9.081257e-01
## 268 High 2.927730e-03 9.970723e-01
## 269 Low 4.564682e-01 5.435318e-01
## 270 Low 8.441996e-01 1.558004e-01
## 271 Low 7.399371e-01 2.600629e-01
## 272 Low 9.671848e-01 3.281523e-02
## 273 Low 9.948918e-01 5.108168e-03
## 274 Low 9.856775e-01 1.432246e-02
## 275 Low 1.122599e-01 8.877401e-01
## 276 Low 9.855100e-01 1.449000e-02
## 277 Low 9.816237e-01 1.837628e-02
## 278 Low 4.574519e-01 5.425481e-01
## 279 Low 9.994376e-01 5.624466e-04
## 280 Low 7.320493e-01 2.679507e-01
## 281 Low 5.528278e-01 4.471722e-01
## 282 Low 9.976586e-01 2.341403e-03
## 283 Low 9.753766e-01 2.462343e-02
## 284 Low 9.945286e-01 5.471402e-03
## 285 Low 9.898977e-01 1.010230e-02
## 286 Low 3.919536e-01 6.080464e-01
## 287 Low 9.062465e-01 9.375346e-02
## 288 Low 1.543449e-03 9.984566e-01
## 289 Low 9.963301e-01 3.669899e-03
## 290 Low 9.982430e-01 1.756953e-03
## 291 Low 9.719170e-01 2.808300e-02
## 292 Low 9.950976e-01 4.902382e-03
## 293 Low 8.423258e-01 1.576742e-01
## 294 Low 9.977819e-01 2.218137e-03
## 295 Low 9.986966e-01 1.303430e-03
## 296 Low 2.435234e-01 7.564766e-01
## 297 Low 9.993080e-01 6.919813e-04
## 298 Low 9.982025e-01 1.797495e-03
## 299 Low 9.993432e-01 6.568128e-04
## 300 Low 9.984324e-01 1.567643e-03
## 301 Low 9.999403e-01 5.966629e-05
## 302 Low 9.990657e-01 9.342658e-04
## 303 Low 9.971222e-01 2.877827e-03
## 304 Low 9.968341e-01 3.165885e-03
## 305 Low 9.999922e-01 7.806887e-06
## 306 Low 9.983887e-01 1.611304e-03
## 307 Low 9.996808e-01 3.192036e-04
## 308 Low 9.999521e-01 4.787311e-05
## 309 Low 9.999946e-01 5.401102e-06
## 310 Low 9.999974e-01 2.565390e-06
## 311 Low 9.999764e-01 2.356976e-05
## 312 Low 9.989466e-01 1.053401e-03
## 313 High 4.702359e-03 9.952976e-01
## 314 High 6.414674e-02 9.358533e-01
## 315 Low 8.828822e-01 1.171178e-01
## 316 High 9.992564e-01 7.435747e-04##################################
# Reporting the independent evaluation results
# for the test set
##################################
LDA_Test_ROC <- roc(response = LDA_Test$LDA_Observed,
predictor = LDA_Test$LDA_Predicted.High,
levels = rev(levels(LDA_Test$LDA_Observed)))
(LDA_Test_ROCCurveAUC <- auc(LDA_Test_ROC)[1])## [1] 0.92137921.5.3 Flexible Discriminant Analysis (FDA)
Flexible Discriminant Analysis, as a flexible extension of the linear discriminant analysis, uses optimal scoring to transform the response variable so that the data are in a better form for linear separation, and multiple adaptive regression splines to generate the discriminant surface. The algorithm is useful to model multivariate non-normality or non-linear relationships among variables within each group, allowing for a more accurate classification.
[A] The flexible discriminant analysis model from the earth and mda packages was implemented through the caret package.
[B] The model contains 2 hyperparameters:
[B.1] degree = product degree held constant at a value of 1
[B.2] nprune = number of terms made to vary across a range of values equal to 2 to 25
[C] The cross-validated model performance of the final model is summarized as follows:
[C.1] Final model configuration involves degree=1 and nprune=24
[C.2] AUROC = 0.94949
[D] The model allows for ranking of predictors in terms of variable importance. The top-performing predictors in the model are as follows:
[D.1] MolWeight variable (numeric)
[D.2] HydrophilicFactor variable (numeric)
[D.3] NumOxygen variable (numeric)
[D.4] FP070 (Structure=1) variable (factor)
[D.5] FP075 (Structure=1) variable (factor)
[E] The independent test model performance of the final model is summarized as follows:
[E.1] AUROC = 0.95933
Code Chunk | Output
##################################
# Creating a local object
# for the train and test sets
##################################
PMA_PreModelling_Train_FDA <- PMA_PreModelling_Train
PMA_PreModelling_Test_FDA <- PMA_PreModelling_Test
##################################
# Creating consistent fold assignments
# for the 10-Fold Cross Validation process
##################################
set.seed(12345678)
KFold_Indices <- createFolds(PMA_PreModelling_Train_FDA$Log_Solubility_Class,
k = 10,
returnTrain=TRUE)
KFold_Control <- trainControl(method="cv",
index=KFold_Indices,
summaryFunction = twoClassSummary,
classProbs = TRUE)
##################################
# Setting the conditions
# for hyperparameter tuning
##################################
FDA_Grid = expand.grid(degree = 1, nprune = 2:25)
##################################
# Running the flexible discriminant analysis model
# by setting the caret method to 'fda'
##################################
set.seed(12345678)
FDA_Tune <- train(x = PMA_PreModelling_Train_FDA[,!names(PMA_PreModelling_Train_FDA) %in% c("Log_Solubility_Class")],
y = PMA_PreModelling_Train_FDA$Log_Solubility_Class,
method = "fda",
tuneGrid = FDA_Grid,
metric = "ROC",
trControl = KFold_Control)
##################################
# Reporting the cross-validation results
# for the train set
##################################
FDA_Tune## Flexible Discriminant Analysis
##
## 951 samples
## 220 predictors
## 2 classes: 'Low', 'High'
##
## No pre-processing
## Resampling: Cross-Validated (10 fold)
## Summary of sample sizes: 857, 855, 857, 855, 856, 856, ...
## Resampling results across tuning parameters:
##
## nprune ROC Sens Spec
## 2 0.8419414 0.7117386 0.8341074
## 3 0.9106928 0.8057032 0.8627721
## 4 0.9227555 0.8053710 0.8742380
## 5 0.9269196 0.8243079 0.8720972
## 6 0.9326890 0.8291251 0.8855225
## 7 0.9353226 0.8384275 0.8835994
## 8 0.9377446 0.8360465 0.8644775
## 9 0.9412788 0.8501107 0.8760160
## 10 0.9412875 0.8429679 0.8722424
## 11 0.9424124 0.8451827 0.8703193
## 12 0.9433294 0.8452935 0.8760885
## 13 0.9420364 0.8570321 0.8797170
## 14 0.9424613 0.8430233 0.8739840
## 15 0.9419380 0.8524363 0.8683237
## 16 0.9420235 0.8500000 0.8664369
## 17 0.9423609 0.8523810 0.8664369
## 18 0.9457102 0.8475083 0.8779390
## 19 0.9482061 0.8522148 0.8855951
## 20 0.9476880 0.8474529 0.8931785
## 21 0.9492896 0.8591916 0.8798621
## 22 0.9494056 0.8591916 0.8817489
## 23 0.9488624 0.8568106 0.8760522
## 24 0.9494893 0.8497785 0.8779390
## 25 0.9477070 0.8616833 0.8893324
##
## Tuning parameter 'degree' was held constant at a value of 1
## ROC was used to select the optimal model using the largest value.
## The final values used for the model were degree = 1 and nprune = 24.FDA_Tune$finalModel## Call:
## mda::fda(formula = .outcome ~ ., data = dat, weights = wts, method = earth::earth,
## degree = param$degree, nprune = param$nprune)
##
## Dimension: 1
##
## Percent Between-Group Variance Explained:
## v1
## 100
##
## Training Misclassification Error: 0.08623 ( N = 951 )FDA_Tune$results## degree nprune ROC Sens Spec ROCSD SensSD SpecSD
## 1 1 2 0.8419414 0.7117386 0.8341074 0.03896762 0.09489524 0.06239354
## 2 1 3 0.9106928 0.8057032 0.8627721 0.02242246 0.07519247 0.06804707
## 3 1 4 0.9227555 0.8053710 0.8742380 0.02195624 0.06249717 0.05802672
## 4 1 5 0.9269196 0.8243079 0.8720972 0.01802883 0.04334609 0.05514159
## 5 1 6 0.9326890 0.8291251 0.8855225 0.01780746 0.03617307 0.04943403
## 6 1 7 0.9353226 0.8384275 0.8835994 0.01303631 0.04171346 0.04724288
## 7 1 8 0.9377446 0.8360465 0.8644775 0.01248855 0.05823961 0.05536583
## 8 1 9 0.9412788 0.8501107 0.8760160 0.01455529 0.03670488 0.05254503
## 9 1 10 0.9412875 0.8429679 0.8722424 0.01545052 0.05450548 0.04888567
## 10 1 11 0.9424124 0.8451827 0.8703193 0.01618394 0.05283938 0.05936728
## 11 1 12 0.9433294 0.8452935 0.8760885 0.01751110 0.05677991 0.05600524
## 12 1 13 0.9420364 0.8570321 0.8797170 0.02077095 0.06745409 0.05434716
## 13 1 14 0.9424613 0.8430233 0.8739840 0.02012156 0.07140365 0.05302971
## 14 1 15 0.9419380 0.8524363 0.8683237 0.01729176 0.06118946 0.05069259
## 15 1 16 0.9420235 0.8500000 0.8664369 0.01659259 0.07343215 0.05493565
## 16 1 17 0.9423609 0.8523810 0.8664369 0.01745948 0.05510654 0.05105891
## 17 1 18 0.9457102 0.8475083 0.8779390 0.01604604 0.05923356 0.06134573
## 18 1 19 0.9482061 0.8522148 0.8855951 0.01423424 0.05130079 0.05982429
## 19 1 20 0.9476880 0.8474529 0.8931785 0.01548466 0.05944141 0.05733283
## 20 1 21 0.9492896 0.8591916 0.8798621 0.01736480 0.05482756 0.05841022
## 21 1 22 0.9494056 0.8591916 0.8817489 0.01727343 0.05692662 0.05320937
## 22 1 23 0.9488624 0.8568106 0.8760522 0.01612087 0.05671808 0.05342934
## 23 1 24 0.9494893 0.8497785 0.8779390 0.01369371 0.05853053 0.04782343
## 24 1 25 0.9477070 0.8616833 0.8893324 0.01488523 0.05605751 0.04936318(FDA_Train_ROCCurveAUC <- FDA_Tune$results[FDA_Tune$results$degree==FDA_Tune$bestTune$degree &
FDA_Tune$results$nprune==FDA_Tune$bestTune$nprune,
c("ROC")])## [1] 0.9494893##################################
# Identifying and plotting the
# best model predictors
##################################
FDA_VarImp <- varImp(FDA_Tune, scale = TRUE)
plot(FDA_VarImp,
top=25,
scales=list(y=list(cex = .95)),
main="Ranked Variable Importance : Flexible Discriminant Analysis",
xlab="Scaled Variable Importance Metrics",
ylab="Predictors",
cex=2,
origin=0,
alpha=0.45)
##################################
# Independently evaluating the model
# on the test set
##################################
FDA_Test <- data.frame(FDA_Observed = PMA_PreModelling_Test_FDA$Log_Solubility_Class,
FDA_Predicted = predict(FDA_Tune,
PMA_PreModelling_Test_FDA[,!names(PMA_PreModelling_Test_FDA) %in% c("Log_Solubility_Class")],
type = "prob"))
FDA_Test## FDA_Observed FDA_Predicted.Low FDA_Predicted.High
## 1 High 3.690766e-04 9.996309e-01
## 2 High 7.423450e-04 9.992577e-01
## 3 High 1.699865e-03 9.983001e-01
## 4 High 1.452439e-02 9.854756e-01
## 5 High 4.908517e-03 9.950915e-01
## 6 High 5.230972e-04 9.994769e-01
## 7 High 2.320216e-03 9.976798e-01
## 8 High 1.311373e-04 9.998689e-01
## 9 High 4.142991e-03 9.958570e-01
## 10 High 2.556431e-02 9.744357e-01
## 11 High 2.556431e-02 9.744357e-01
## 12 High 9.277825e-02 9.072217e-01
## 13 High 2.599678e-03 9.974003e-01
## 14 High 5.670742e-03 9.943293e-01
## 15 High 9.824829e-03 9.901752e-01
## 16 High 1.921582e-03 9.980784e-01
## 17 High 4.593616e-04 9.995406e-01
## 18 High 4.142991e-03 9.958570e-01
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## 264 High 6.225764e-02 9.377424e-01
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## 268 High 9.489563e-01 5.104370e-02
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## 270 Low 8.731715e-01 1.268285e-01
## 271 Low 9.883396e-01 1.166037e-02
## 272 Low 6.468122e-01 3.531878e-01
## 273 Low 9.984132e-01 1.586838e-03
## 274 Low 9.988656e-01 1.134392e-03
## 275 Low 1.252445e-01 8.747555e-01
## 276 Low 9.418795e-01 5.812049e-02
## 277 Low 9.956807e-01 4.319262e-03
## 278 Low 2.847007e-01 7.152993e-01
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## 282 Low 9.889232e-01 1.107676e-02
## 283 Low 9.941472e-01 5.852827e-03
## 284 Low 9.954809e-01 4.519077e-03
## 285 Low 9.801197e-01 1.988031e-02
## 286 Low 6.355589e-01 3.644411e-01
## 287 Low 9.903434e-01 9.656559e-03
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## 289 Low 9.946350e-01 5.364997e-03
## 290 Low 9.998786e-01 1.214263e-04
## 291 Low 9.950626e-01 4.937433e-03
## 292 Low 8.690051e-01 1.309949e-01
## 293 Low 9.972415e-01 2.758533e-03
## 294 Low 9.984568e-01 1.543181e-03
## 295 Low 9.982758e-01 1.724221e-03
## 296 Low 2.870159e-01 7.129841e-01
## 297 Low 9.852478e-01 1.475222e-02
## 298 Low 9.991623e-01 8.377175e-04
## 299 Low 9.998786e-01 1.214263e-04
## 300 Low 9.999956e-01 4.418394e-06
## 301 Low 9.905874e-01 9.412579e-03
## 302 Low 9.953501e-01 4.649855e-03
## 303 Low 9.953203e-01 4.679661e-03
## 304 Low 8.241165e-01 1.758835e-01
## 305 Low 9.977351e-01 2.264928e-03
## 306 Low 9.985056e-01 1.494411e-03
## 307 Low 9.990729e-01 9.270714e-04
## 308 Low 9.995931e-01 4.068867e-04
## 309 Low 9.999975e-01 2.470773e-06
## 310 Low 9.999946e-01 5.393850e-06
## 311 Low 9.997960e-01 2.039678e-04
## 312 Low 9.990729e-01 9.270714e-04
## 313 High 3.025030e-02 9.697497e-01
## 314 High 4.288205e-01 5.711795e-01
## 315 Low 9.615043e-01 3.849566e-02
## 316 High 9.936174e-01 6.382574e-03##################################
# Reporting the independent evaluation results
# for the test set
##################################
FDA_Test_ROC <- roc(response = FDA_Test$FDA_Observed,
predictor = FDA_Test$FDA_Predicted.High,
levels = rev(levels(FDA_Test$FDA_Observed)))
(FDA_Test_ROCCurveAUC <- auc(FDA_Test_ROC)[1])## [1] 0.95933551.5.4 Mixture Discriminant Analysis (MDA)
Mixture Discriminant Analysis, as an improvement to the restrictions of the linear discriminant analysis towards having all classes coming from a single normal (or Gaussian) distribution, applies the assumption that each class is a Gaussian mixture of sub-classes. The algorithm treats each data point as having the probability of belonging to each class. Equality of covariance matrix among classes, is still assumed.
[A] The mixture discriminant analysis model from the mda package was implemented through the caret package.
[B] The model contains 1 hyperparameter:
[B.1] subclasses = number of subclasses per class made to vary across a range of values equal to 1 to 8
[C] The cross-validated model performance of the final model is summarized as follows:
[C.1] Final model configuration involves subclasses=1
[C.2] AUROC = 0.90659
[D] The model does not allow for ranking of predictors in terms of variable importance.
[E] The independent test model performance of the final model is summarized as follows:
[E.1] AUROC = 0.92138
Code Chunk | Output
##################################
# Creating a local object
# for the train and test sets
##################################
PMA_PreModelling_Train_MDA <- PMA_PreModelling_Train
PMA_PreModelling_Test_MDA <- PMA_PreModelling_Test
##################################
# Creating consistent fold assignments
# for the 10-Fold Cross Validation process
##################################
set.seed(12345678)
KFold_Indices <- createFolds(PMA_PreModelling_Train_MDA$Log_Solubility_Class,
k = 10,
returnTrain=TRUE)
KFold_Control <- trainControl(method="cv",
index=KFold_Indices,
summaryFunction = twoClassSummary,
classProbs = TRUE)
##################################
# Setting the conditions
# for hyperparameter tuning
##################################
MDA_Grid = expand.grid(subclasses = 1:8)
##################################
# Running the mixture discriminant analysis model
# by setting the caret method to 'mda'
##################################
set.seed(12345678)
MDA_Tune <- train(x = PMA_PreModelling_Train_MDA[,!names(PMA_PreModelling_Train_MDA) %in% c("Log_Solubility_Class")],
y = PMA_PreModelling_Train_MDA$Log_Solubility_Class,
method = "mda",
tuneGrid = MDA_Grid,
tries = 40,
metric = "ROC",
trControl = KFold_Control)
##################################
# Reporting the cross-validation results
# for the train set
##################################
MDA_Tune## Mixture Discriminant Analysis
##
## 951 samples
## 220 predictors
## 2 classes: 'Low', 'High'
##
## No pre-processing
## Resampling: Cross-Validated (10 fold)
## Summary of sample sizes: 857, 855, 857, 855, 856, 856, ...
## Resampling results across tuning parameters:
##
## subclasses ROC Sens Spec
## 1 0.9065884 0.8216362 0.8381713
## 2 0.9061159 0.8009413 0.8356313
## 3 0.8990602 0.7688261 0.8595791
## 4 0.9018378 0.7868217 0.8642507
## 5 0.9053039 0.8010105 0.8642961
## 6 0.9064374 0.7924972 0.8688770
## 7 0.9054071 0.8012182 0.8618922
## 8 0.8961314 0.7866833 0.8618922
##
## ROC was used to select the optimal model using the largest value.
## The final value used for the model was subclasses = 1.MDA_Tune$finalModel## Call:
## mda::mda(formula = as.formula(".outcome ~ ."), data = dat, subclasses = param$subclasses,
## tries = 40)
##
## Dimension: 1
##
## Percent Between-Group Variance Explained:
## v1
## 100
##
## Degrees of Freedom (per dimension): 221
##
## Training Misclassification Error: 0.06309 ( N = 951 )
##
## Deviance: 274.654MDA_Tune$results## subclasses ROC Sens Spec ROCSD SensSD SpecSD
## 1 1 0.9065884 0.8216362 0.8381713 0.03141234 0.06913201 0.05860299
## 2 2 0.9061159 0.8009413 0.8356313 0.02183807 0.06191089 0.04609250
## 3 3 0.8990602 0.7688261 0.8595791 0.02739762 0.07985827 0.02857108
## 4 4 0.9018378 0.7868217 0.8642507 0.02721217 0.08855550 0.02797936
## 5 5 0.9053039 0.8010105 0.8642961 0.02369782 0.06038734 0.03748632
## 6 6 0.9064374 0.7924972 0.8688770 0.02150088 0.07067420 0.04319700
## 7 7 0.9054071 0.8012182 0.8618922 0.02223467 0.04285442 0.04280862
## 8 8 0.8961314 0.7866833 0.8618922 0.02455558 0.05138028 0.04538396(MDA_Train_ROCCurveAUC <- MDA_Tune$results[MDA_Tune$results$subclasses==MDA_Tune$bestTune$subclasses,
c("ROC")])## [1] 0.9065884##################################
# Identifying and plotting the
# best model predictors
##################################
# model does not support variable importance measurement
##################################
# Independently evaluating the model
# on the test set
##################################
MDA_Test <- data.frame(MDA_Observed = PMA_PreModelling_Test_MDA$Log_Solubility_Class,
MDA_Predicted = predict(MDA_Tune,
PMA_PreModelling_Test_MDA[,!names(PMA_PreModelling_Test_MDA) %in% c("Log_Solubility_Class")],
type = "prob"))
MDA_Test## MDA_Observed MDA_Predicted.Low MDA_Predicted.High
## 1 High 5.951955e-06 9.999940e-01
## 2 High 5.713468e-04 9.994287e-01
## 3 High 8.213523e-04 9.991786e-01
## 4 High 1.263688e-02 9.873631e-01
## 5 High 2.314122e-03 9.976859e-01
## 6 High 9.220012e-07 9.999991e-01
## 7 High 2.782574e-05 9.999722e-01
## 8 High 2.010542e-05 9.999799e-01
## 9 High 9.758039e-06 9.999902e-01
## 10 High 2.389943e-02 9.761006e-01
## 11 High 3.530722e-02 9.646928e-01
## 12 High 1.990229e-02 9.800977e-01
## 13 High 5.703342e-05 9.999430e-01
## 14 High 6.719888e-05 9.999328e-01
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## 295 Low 9.987152e-01 1.284783e-03
## 296 Low 2.431630e-01 7.568370e-01
## 297 Low 9.993188e-01 6.811659e-04
## 298 Low 9.982270e-01 1.772993e-03
## 299 Low 9.993535e-01 6.464756e-04
## 300 Low 9.984542e-01 1.545823e-03
## 301 Low 9.999416e-01 5.843052e-05
## 302 Low 9.990798e-01 9.202490e-04
## 303 Low 9.971585e-01 2.841456e-03
## 304 Low 9.968735e-01 3.126512e-03
## 305 Low 9.999924e-01 7.612488e-06
## 306 Low 9.984110e-01 1.588970e-03
## 307 Low 9.996863e-01 3.137007e-04
## 308 Low 9.999531e-01 4.685983e-05
## 309 Low 9.999947e-01 5.262522e-06
## 310 Low 9.999975e-01 2.495649e-06
## 311 Low 9.999770e-01 2.303644e-05
## 312 Low 9.989621e-01 1.037861e-03
## 313 High 4.651832e-03 9.953482e-01
## 314 High 6.383425e-02 9.361657e-01
## 315 Low 8.833661e-01 1.166339e-01
## 316 High 9.992679e-01 7.320644e-04##################################
# Reporting the independent evaluation results
# for the test set
##################################
MDA_Test_ROC <- roc(response = MDA_Test$MDA_Observed,
predictor = MDA_Test$MDA_Predicted.High,
levels = rev(levels(MDA_Test$MDA_Observed)))
(MDA_Test_ROCCurveAUC <- auc(MDA_Test_ROC)[1])## [1] 0.92137921.5.5 Naive Bayes (NB)
Naive Bayes Classifier categorizes instances by applying Bayes Theorem in determining posterior probabilities as conditioned by the likelihood of features, and prior probabilities pertaining to both events and features. The algorithm naively assumes independence between features and assigns the same weight (degree of significance) to all given features. The class conditional probabilities and the prior probabilities are calculated to yield the posterior probability, and operates by returning the class, which has the maximum posterior probability out of a group of classes.
[A] The naive bayes model from the klaR package was implemented through the caret package.
[B] The model contains 3 hyperparameters:
[B.1] fL = laplace correction held constant at a value of 2
[B.2] adjust = bandwidth adjustment held constant at a value of FALSE
[B.3] usekernel = distribution type made to vary across a range of levels equal to TRUE and FALSE
[C] The cross-validated model performance of the final model is summarized as follows:
[C.1] Final model configuration involves fL=2, adjust=FALSE and usekernel=FALSE
[C.2] AUROC = 0.88182
[D] The model does not allow for ranking of predictors in terms of variable importance.
[E] The independent test model performance of the final model is summarized as follows:
[E.1] AUROC = 0.88561
Code Chunk | Output
##################################
# Creating a local object
# for the train and test sets
##################################
PMA_PreModelling_Train_NB <- PMA_PreModelling_Train
PMA_PreModelling_Test_NB <- PMA_PreModelling_Test
##################################
# Creating consistent fold assignments
# for the 10-Fold Cross Validation process
##################################
set.seed(12345678)
KFold_Indices <- createFolds(PMA_PreModelling_Train_NB$Log_Solubility_Class,
k = 10,
returnTrain=TRUE)
KFold_Control <- trainControl(method="cv",
index=KFold_Indices,
summaryFunction = twoClassSummary,
classProbs = TRUE)
##################################
# Setting the conditions
# for hyperparameter tuning
##################################
NB_Grid = data.frame(usekernel = c(TRUE, FALSE), fL = 2, adjust = FALSE)
##################################
# Running the naive bayes model
# by setting the caret method to 'nb'
##################################
set.seed(12345678)
NB_Tune <- train(x = PMA_PreModelling_Train_NB[,!names(PMA_PreModelling_Train_NB) %in% c("Log_Solubility_Class")],
y = PMA_PreModelling_Train_NB$Log_Solubility_Class,
method = "nb",
tuneGrid = NB_Grid,
metric = "ROC",
trControl = KFold_Control)
##################################
# Reporting the cross-validation results
# for the train set
##################################
NB_Tune## Naive Bayes
##
## 951 samples
## 220 predictors
## 2 classes: 'Low', 'High'
##
## No pre-processing
## Resampling: Cross-Validated (10 fold)
## Summary of sample sizes: 857, 855, 857, 855, 856, 856, ...
## Resampling results across tuning parameters:
##
## usekernel ROC Sens Spec
## FALSE 0.8818276 0.7772979 0.8072932
## TRUE NaN NaN NaN
##
## Tuning parameter 'fL' was held constant at a value of 2
## Tuning
## parameter 'adjust' was held constant at a value of FALSE
## ROC was used to select the optimal model using the largest value.
## The final values used for the model were fL = 2, usekernel = FALSE and adjust
## = FALSE.NB_Tune$finalModel## $apriori
## grouping
## Low High
## 0.4490011 0.5509989
##
## $tables
## $tables$FP001
## var
## grouping 0 1
## Low 0.5313225 0.4686775
## High 0.4867424 0.5132576
##
## $tables$FP002
## var
## grouping 0 1
## Low 0.3225058 0.6774942
## High 0.5738636 0.4261364
##
## $tables$FP003
## var
## grouping 0 1
## Low 0.5591647 0.4408353
## High 0.5662879 0.4337121
##
## $tables$FP004
## var
## grouping 0 1
## Low 0.4477958 0.5522042
## High 0.3901515 0.6098485
##
## $tables$FP005
## var
## grouping 0 1
## Low 0.287703 0.712297
## High 0.530303 0.469697
##
## $tables$FP006
## var
## grouping 0 1
## Low 0.6774942 0.3225058
## High 0.5340909 0.4659091
##
## $tables$FP007
## var
## grouping 0 1
## Low 0.6194896 0.3805104
## High 0.6477273 0.3522727
##
## $tables$FP008
## var
## grouping 0 1
## Low 0.6055684 0.3944316
## High 0.7272727 0.2727273
##
## $tables$FP009
## var
## grouping 0 1
## Low 0.5777262 0.4222738
## High 0.8333333 0.1666667
##
## $tables$FP010
## var
## grouping 0 1
## Low 0.8538283 0.1461717
## High 0.7897727 0.2102273
##
## $tables$FP011
## var
## grouping 0 1
## Low 0.8399072 0.1600928
## High 0.7367424 0.2632576
##
## $tables$FP012
## var
## grouping 0 1
## Low 0.8283063 0.1716937
## High 0.8143939 0.1856061
##
## $tables$FP013
## var
## grouping 0 1
## Low 0.7006961 0.2993039
## High 0.9375000 0.0625000
##
## $tables$FP014
## var
## grouping 0 1
## Low 0.712297 0.287703
## High 0.937500 0.062500
##
## $tables$FP015
## var
## grouping 0 1
## Low 0.21113689 0.78886311
## High 0.08712121 0.91287879
##
## $tables$FP016
## var
## grouping 0 1
## Low 0.8399072 0.1600928
## High 0.8598485 0.1401515
##
## $tables$FP017
## var
## grouping 0 1
## Low 0.8051044 0.1948956
## High 0.8920455 0.1079545
##
## $tables$FP018
## var
## grouping 0 1
## Low 0.81902552 0.18097448
## High 0.90340909 0.09659091
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## var
## grouping 0 1
## Low 0.8770302 0.1229698
## High 0.8731061 0.1268939
##
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## var
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## Low 0.8909513 0.1090487
## High 0.8655303 0.1344697
##
## $tables$FP021
## var
## grouping 0 1
## Low 0.8584687 0.1415313
## High 0.8901515 0.1098485
##
## $tables$FP022
## var
## grouping 0 1
## Low 0.8932715 0.1067285
## High 0.8920455 0.1079545
##
## $tables$FP023
## var
## grouping 0 1
## Low 0.83758701 0.16241299
## High 0.90340909 0.09659091
##
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## var
## grouping 0 1
## Low 0.8886311 0.1113689
## High 0.8806818 0.1193182
##
## $tables$FP025
## var
## grouping 0 1
## Low 0.8955916 0.1044084
## High 0.8693182 0.1306818
##
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## var
## grouping 0 1
## Low 0.8932715 0.1067285
## High 0.9280303 0.0719697
##
## $tables$FP027
## var
## grouping 0 1
## Low 0.93039443 0.06960557
## High 0.87310606 0.12689394
##
## $tables$FP028
## var
## grouping 0 1
## Low 0.90023202 0.09976798
## High 0.88257576 0.11742424
##
## $tables$FP029
## var
## grouping 0 1
## Low 0.88631090 0.11368910
## High 0.90151515 0.09848485
##
## $tables$FP030
## var
## grouping 0 1
## Low 0.9187935 0.0812065
## High 0.8901515 0.1098485
##
## $tables$FP031
## var
## grouping 0 1
## Low 0.89791183 0.10208817
## High 0.91477273 0.08522727
##
## $tables$FP032
## var
## grouping 0 1
## Low 0.94199536 0.05800464
## High 0.90719697 0.09280303
##
## $tables$FP033
## var
## grouping 0 1
## Low 0.94199536 0.05800464
## High 0.91477273 0.08522727
##
## $tables$FP034
## var
## grouping 0 1
## Low 0.9025522 0.0974478
## High 0.9280303 0.0719697
##
## $tables$FP035
## var
## grouping 0 1
## Low 0.87935035 0.12064965
## High 0.96022727 0.03977273
##
## $tables$FP036
## var
## grouping 0 1
## Low 0.95359629 0.04640371
## High 0.89393939 0.10606061
##
## $tables$FP037
## var
## grouping 0 1
## Low 0.90719258 0.09280742
## High 0.94128788 0.05871212
##
## $tables$FP038
## var
## grouping 0 1
## Low 0.92343387 0.07656613
## High 0.89962121 0.10037879
##
## $tables$FP039
## var
## grouping 0 1
## Low 0.87470998 0.12529002
## High 0.96022727 0.03977273
##
## $tables$FP040
## var
## grouping 0 1
## Low 0.94895592 0.05104408
## High 0.91098485 0.08901515
##
## $tables$FP041
## var
## grouping 0 1
## Low 0.89559165 0.10440835
## High 0.96401515 0.03598485
##
## $tables$FP042
## var
## grouping 0 1
## Low 0.94663573 0.05336427
## High 0.93371212 0.06628788
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## $tables$FP043
## var
## grouping 0 1
## Low 0.91415313 0.08584687
## High 0.94318182 0.05681818
##
## $tables$FP044
## var
## grouping 0 1
## Low 0.87238979 0.12761021
## High 0.98863636 0.01136364
##
## $tables$FP045
## var
## grouping 0 1
## Low 0.91415313 0.08584687
## High 0.96212121 0.03787879
##
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## var
## grouping 0 1
## Low 0.5939675 0.4060325
## High 0.7556818 0.2443182
##
## $tables$FP047
## var
## grouping 0 1
## Low 0.6867749 0.3132251
## High 0.7689394 0.2310606
##
## $tables$FP048
## var
## grouping 0 1
## Low 0.8607889 0.1392111
## High 0.8825758 0.1174242
##
## $tables$FP049
## var
## grouping 0 1
## Low 0.7865429 0.2134571
## High 0.9469697 0.0530303
##
## $tables$FP050
## var
## grouping 0 1
## Low 0.85614849 0.14385151
## High 0.90719697 0.09280303
##
## $tables$FP051
## var
## grouping 0 1
## Low 0.85150812 0.14849188
## High 0.91666667 0.08333333
##
## $tables$FP052
## var
## grouping 0 1
## Low 0.91415313 0.08584687
## High 0.89772727 0.10227273
##
## $tables$FP053
## var
## grouping 0 1
## Low 0.83990719 0.16009281
## High 0.95454545 0.04545455
##
## $tables$FP054
## var
## grouping 0 1
## Low 0.87703016 0.12296984
## High 0.95643939 0.04356061
##
## $tables$FP055
## var
## grouping 0 1
## Low 0.95591647 0.04408353
## High 0.93181818 0.06818182
##
## $tables$FP056
## var
## grouping 0 1
## Low 0.88863109 0.11136891
## High 0.96590909 0.03409091
##
## $tables$FP057
## var
## grouping 0 1
## Low 0.8631090 0.1368910
## High 0.8882576 0.1117424
##
## $tables$FP058
## var
## grouping 0 1
## Low 0.8793503 0.1206497
## High 0.8863636 0.1136364
##
## $tables$FP059
## var
## grouping 0 1
## Low 0.90719258 0.09280742
## High 0.96969697 0.03030303
##
## $tables$FP060
## var
## grouping 0 1
## Low 0.5846868 0.4153132
## High 0.4640152 0.5359848
##
## $tables$FP061
## var
## grouping 0 1
## Low 0.5591647 0.4408353
## High 0.5473485 0.4526515
##
## $tables$FP062
## var
## grouping 0 1
## Low 0.5962877 0.4037123
## High 0.5340909 0.4659091
##
## $tables$FP063
## var
## grouping 0 1
## Low 0.6148492 0.3851508
## High 0.5397727 0.4602273
##
## $tables$FP064
## var
## grouping 0 1
## Low 0.6055684 0.3944316
## High 0.5643939 0.4356061
##
## $tables$FP065
## var
## grouping 0 1
## Low 0.2320186 0.7679814
## High 0.5511364 0.4488636
##
## $tables$FP066
## var
## grouping 0 1
## Low 0.3921114 0.6078886
## High 0.3901515 0.6098485
##
## $tables$FP067
## var
## grouping 0 1
## Low 0.6380510 0.3619490
## High 0.6041667 0.3958333
##
## $tables$FP068
## var
## grouping 0 1
## Low 0.6519722 0.3480278
## High 0.6250000 0.3750000
##
## $tables$FP069
## var
## grouping 0 1
## Low 0.6171694 0.3828306
## High 0.6534091 0.3465909
##
## $tables$FP070
## var
## grouping 0 1
## Low 0.4872390 0.5127610
## High 0.7708333 0.2291667
##
## $tables$FP071
## var
## grouping 0 1
## Low 0.5382831 0.4617169
## High 0.7803030 0.2196970
##
## $tables$FP072
## var
## grouping 0 1
## Low 0.4640371 0.5359629
## High 0.2443182 0.7556818
##
## $tables$FP073
## var
## grouping 0 1
## Low 0.7517401 0.2482599
## High 0.6363636 0.3636364
##
## $tables$FP074
## var
## grouping 0 1
## Low 0.6960557 0.3039443
## High 0.6553030 0.3446970
##
## $tables$FP075
## var
## grouping 0 1
## Low 0.6937355 0.3062645
## High 0.6325758 0.3674242
##
## $tables$FP076
## var
## grouping 0 1
## Low 0.4385151 0.5614849
## High 0.8598485 0.1401515
##
## $tables$FP077
## var
## grouping 0 1
## Low 0.6450116 0.3549884
## High 0.7045455 0.2954545
##
## $tables$FP078
## var
## grouping 0 1
## Low 0.6844548 0.3155452
## High 0.7026515 0.2973485
##
## $tables$FP079
## var
## grouping 0 1
## Low 0.1531323 0.8468677
## High 0.4412879 0.5587121
##
## $tables$FP080
## var
## grouping 0 1
## Low 0.7215777 0.2784223
## High 0.6742424 0.3257576
##
## $tables$FP081
## var
## grouping 0 1
## Low 0.6844548 0.3155452
## High 0.7481061 0.2518939
##
## $tables$FP082
## var
## grouping 0 1
## Low 0.1368910 0.8631090
## High 0.4109848 0.5890152
##
## $tables$FP083
## var
## grouping 0 1
## Low 0.7865429 0.2134571
## High 0.6742424 0.3257576
##
## $tables$FP084
## var
## grouping 0 1
## Low 0.7262181 0.2737819
## High 0.7007576 0.2992424
##
## $tables$FP085
## var
## grouping 0 1
## Low 0.6102088 0.3897912
## High 0.8503788 0.1496212
##
## $tables$FP086
## var
## grouping 0 1
## Low 0.6821346 0.3178654
## High 0.7670455 0.2329545
##
## $tables$FP087
## var
## grouping 0 1
## Low 0.1415313 0.8584687
## High 0.3844697 0.6155303
##
## $tables$FP088
## var
## grouping 0 1
## Low 0.7819026 0.2180974
## High 0.6969697 0.3030303
##
## $tables$FP089
## var
## grouping 0 1
## Low 0.5707657 0.4292343
## High 0.8977273 0.1022727
##
## $tables$FP090
## var
## grouping 0 1
## Low 0.7030162 0.2969838
## High 0.7859848 0.2140152
##
## $tables$FP091
## var
## grouping 0 1
## Low 0.7703016 0.2296984
## High 0.7746212 0.2253788
##
## $tables$FP092
## var
## grouping 0 1
## Low 0.6032483 0.3967517
## High 0.8768939 0.1231061
##
## $tables$FP093
## var
## grouping 0 1
## Low 0.6821346 0.3178654
## High 0.8125000 0.1875000
##
## $tables$FP094
## var
## grouping 0 1
## Low 0.7656613 0.2343387
## High 0.7670455 0.2329545
##
## $tables$FP095
## var
## grouping 0 1
## Low 0.7958237 0.2041763
## High 0.7632576 0.2367424
##
## $tables$FP096
## var
## grouping 0 1
## Low 0.7587007 0.2412993
## High 0.7973485 0.2026515
##
## $tables$FP097
## var
## grouping 0 1
## Low 0.6380510 0.3619490
## High 0.8636364 0.1363636
##
## $tables$FP098
## var
## grouping 0 1
## Low 0.7842227 0.2157773
## High 0.7405303 0.2594697
##
## $tables$FP099
## var
## grouping 0 1
## Low 0.6983759 0.3016241
## High 0.8295455 0.1704545
##
## $tables$FP100
## var
## grouping 0 1
## Low 0.7958237 0.2041763
## High 0.7424242 0.2575758
##
## $tables$FP101
## var
## grouping 0 1
## Low 0.774942 0.225058
## High 0.750000 0.250000
##
## $tables$FP102
## var
## grouping 0 1
## Low 0.7424594 0.2575406
## High 0.8390152 0.1609848
##
## $tables$FP103
## var
## grouping 0 1
## Low 0.7285383 0.2714617
## High 0.8200758 0.1799242
##
## $tables$FP104
## var
## grouping 0 1
## Low 0.7308585 0.2691415
## High 0.8106061 0.1893939
##
## $tables$FP105
## var
## grouping 0 1
## Low 0.7146172 0.2853828
## High 0.8371212 0.1628788
##
## $tables$FP106
## var
## grouping 0 1
## Low 0.7703016 0.2296984
## High 0.8352273 0.1647727
##
## $tables$FP107
## var
## grouping 0 1
## Low 0.6728538 0.3271462
## High 0.8787879 0.1212121
##
## $tables$FP108
## var
## grouping 0 1
## Low 0.7935035 0.2064965
## High 0.7916667 0.2083333
##
## $tables$FP109
## var
## grouping 0 1
## Low 0.7819026 0.2180974
## High 0.8522727 0.1477273
##
## $tables$FP110
## var
## grouping 0 1
## Low 0.8190255 0.1809745
## High 0.7689394 0.2310606
##
## $tables$FP111
## var
## grouping 0 1
## Low 0.7911833 0.2088167
## High 0.8087121 0.1912879
##
## $tables$FP112
## var
## grouping 0 1
## Low 0.6496520 0.3503480
## High 0.9280303 0.0719697
##
## $tables$FP113
## var
## grouping 0 1
## Low 0.8329466 0.1670534
## High 0.7765152 0.2234848
##
## $tables$FP114
## var
## grouping 0 1
## Low 0.8190255 0.1809745
## High 0.8598485 0.1401515
##
## $tables$FP115
## var
## grouping 0 1
## Low 0.8074246 0.1925754
## High 0.8276515 0.1723485
##
## $tables$FP116
## var
## grouping 0 1
## Low 0.8167053 0.1832947
## High 0.7954545 0.2045455
##
## $tables$FP117
## var
## grouping 0 1
## Low 0.7772622 0.2227378
## High 0.8522727 0.1477273
##
## $tables$FP118
## var
## grouping 0 1
## Low 0.8259861 0.1740139
## High 0.7878788 0.2121212
##
## $tables$FP119
## var
## grouping 0 1
## Low 0.8422274 0.1577726
## High 0.8276515 0.1723485
##
## $tables$FP120
## var
## grouping 0 1
## Low 0.8515081 0.1484919
## High 0.8143939 0.1856061
##
## $tables$FP121
## var
## grouping 0 1
## Low 0.8167053 0.1832947
## High 0.8901515 0.1098485
##
## $tables$FP122
## var
## grouping 0 1
## Low 0.8306265 0.1693735
## High 0.8352273 0.1647727
##
## $tables$FP123
## var
## grouping 0 1
## Low 0.7726218 0.2273782
## High 0.8768939 0.1231061
##
## $tables$FP124
## var
## grouping 0 1
## Low 0.8468677 0.1531323
## High 0.8257576 0.1742424
##
## $tables$FP125
## var
## grouping 0 1
## Low 0.8515081 0.1484919
## High 0.8333333 0.1666667
##
## $tables$FP126
## var
## grouping 0 1
## Low 0.8491879 0.1508121
## High 0.8484848 0.1515152
##
## $tables$FP127
## var
## grouping 0 1
## Low 0.8793503 0.1206497
## High 0.8390152 0.1609848
##
## $tables$FP128
## var
## grouping 0 1
## Low 0.8700696 0.1299304
## High 0.8314394 0.1685606
##
## $tables$FP129
## var
## grouping 0 1
## Low 0.8143852 0.1856148
## High 0.8939394 0.1060606
##
## $tables$FP130
## var
## grouping 0 1
## Low 0.87006961 0.12993039
## High 0.90909091 0.09090909
##
## $tables$FP131
## var
## grouping 0 1
## Low 0.8677494 0.1322506
## High 0.8731061 0.1268939
##
## $tables$FP132
## var
## grouping 0 1
## Low 0.91183295 0.08816705
## High 0.83901515 0.16098485
##
## $tables$FP133
## var
## grouping 0 1
## Low 0.8770302 0.1229698
## High 0.8655303 0.1344697
##
## $tables$FP134
## var
## grouping 0 1
## Low 0.8352668 0.1647332
## High 0.8977273 0.1022727
##
## $tables$FP135
## var
## grouping 0 1
## Low 0.8677494 0.1322506
## High 0.8731061 0.1268939
##
## $tables$FP136
## var
## grouping 0 1
## Low 0.8793503 0.1206497
## High 0.8731061 0.1268939
##
## $tables$FP137
## var
## grouping 0 1
## Low 0.85150812 0.14849188
## High 0.90530303 0.09469697
##
## $tables$FP138
## var
## grouping 0 1
## Low 0.86078886 0.13921114
## High 0.90530303 0.09469697
##
## $tables$FP139
## var
## grouping 0 1
## Low 0.90487239 0.09512761
## High 0.92234848 0.07765152
##
## $tables$FP140
## var
## grouping 0 1
## Low 0.9025522 0.0974478
## High 0.8712121 0.1287879
##
## $tables$FP141
## var
## grouping 0 1
## Low 0.83990719 0.16009281
## High 0.91287879 0.08712121
##
## $tables$FP142
## var
## grouping 0 1
## Low 0.8770302 0.1229698
## High 0.8958333 0.1041667
##
## $tables$FP143
## var
## grouping 0 1
## Low 0.90255220 0.09744780
## High 0.92613636 0.07386364
##
## $tables$FP144
## var
## grouping 0 1
## Low 0.91647332 0.08352668
## High 0.87310606 0.12689394
##
## $tables$FP145
## var
## grouping 0 1
## Low 0.90719258 0.09280742
## High 0.88068182 0.11931818
##
## $tables$FP146
## var
## grouping 0 1
## Low 0.83062645 0.16937355
## High 0.94507576 0.05492424
##
## $tables$FP147
## var
## grouping 0 1
## Low 0.8979118 0.1020882
## High 0.8863636 0.1136364
##
## $tables$FP148
## var
## grouping 0 1
## Low 0.91879350 0.08120650
## High 0.90151515 0.09848485
##
## $tables$FP149
## var
## grouping 0 1
## Low 0.83526682 0.16473318
## High 0.96401515 0.03598485
##
## $tables$FP150
## var
## grouping 0 1
## Low 0.92111369 0.07888631
## High 0.91477273 0.08522727
##
## $tables$FP151
## var
## grouping 0 1
## Low 0.94431555 0.05568445
## High 0.93750000 0.06250000
##
## $tables$FP152
## var
## grouping 0 1
## Low 0.8979118 0.1020882
## High 0.9280303 0.0719697
##
## $tables$FP153
## var
## grouping 0 1
## Low 0.89791183 0.10208817
## High 0.93560606 0.06439394
##
## $tables$FP155
## var
## grouping 0 1
## Low 0.87935035 0.12064965
## High 0.96590909 0.03409091
##
## $tables$FP156
## var
## grouping 0 1
## Low 0.90487239 0.09512761
## High 0.94318182 0.05681818
##
## $tables$FP157
## var
## grouping 0 1
## Low 0.93039443 0.06960557
## High 0.93750000 0.06250000
##
## $tables$FP158
## var
## grouping 0 1
## Low 0.95823666 0.04176334
## High 0.92992424 0.07007576
##
## $tables$FP159
## var
## grouping 0 1
## Low 0.90719258 0.09280742
## High 0.94128788 0.05871212
##
## $tables$FP160
## var
## grouping 0 1
## Low 0.92575406 0.07424594
## High 0.92992424 0.07007576
##
## $tables$FP161
## var
## grouping 0 1
## Low 0.97215777 0.02784223
## High 0.89583333 0.10416667
##
## $tables$FP162
## var
## grouping 0 1
## Low 0.3805104 0.6194896
## High 0.6060606 0.3939394
##
## $tables$FP163
## var
## grouping 0 1
## Low 0.5591647 0.4408353
## High 0.4943182 0.5056818
##
## $tables$FP164
## var
## grouping 0 1
## Low 0.2250580 0.7749420
## High 0.4943182 0.5056818
##
## $tables$FP165
## var
## grouping 0 1
## Low 0.6658933 0.3341067
## High 0.6363636 0.3636364
##
## $tables$FP166
## var
## grouping 0 1
## Low 0.5893271 0.4106729
## High 0.7310606 0.2689394
##
## $tables$FP167
## var
## grouping 0 1
## Low 0.6890951 0.3109049
## High 0.6553030 0.3446970
##
## $tables$FP168
## var
## grouping 0 1
## Low 0.1786543 0.8213457
## High 0.4640152 0.5359848
##
## $tables$FP169
## var
## grouping 0 1
## Low 0.68445476 0.31554524
## High 0.91477273 0.08522727
##
## $tables$FP170
## var
## grouping 0 1
## Low 0.7679814 0.2320186
## High 0.8503788 0.1496212
##
## $tables$FP171
## var
## grouping 0 1
## Low 0.8631090 0.1368910
## High 0.7992424 0.2007576
##
## $tables$FP172
## var
## grouping 0 1
## Low 0.71693735 0.28306265
## High 0.95075758 0.04924242
##
## $tables$FP173
## var
## grouping 0 1
## Low 0.8027842 0.1972158
## High 0.8977273 0.1022727
##
## $tables$FP174
## var
## grouping 0 1
## Low 0.8399072 0.1600928
## High 0.8882576 0.1117424
##
## $tables$FP175
## var
## grouping 0 1
## Low 0.8584687 0.1415313
## High 0.8655303 0.1344697
##
## $tables$FP176
## var
## grouping 0 1
## Low 0.87471 0.12529
## High 0.87500 0.12500
##
## $tables$FP177
## var
## grouping 0 1
## Low 0.8677494 0.1322506
## High 0.8825758 0.1174242
##
## $tables$FP178
## var
## grouping 0 1
## Low 0.83526682 0.16473318
## High 0.90909091 0.09090909
##
## $tables$FP179
## var
## grouping 0 1
## Low 0.87935035 0.12064965
## High 0.91477273 0.08522727
##
## $tables$FP180
## var
## grouping 0 1
## Low 0.90719258 0.09280742
## High 0.87500000 0.12500000
##
## $tables$FP181
## var
## grouping 0 1
## Low 0.84454756 0.15545244
## High 0.95075758 0.04924242
##
## $tables$FP182
## var
## grouping 0 1
## Low 0.90719258 0.09280742
## High 0.89015152 0.10984848
##
## $tables$FP183
## var
## grouping 0 1
## Low 0.93735499 0.06264501
## High 0.90719697 0.09280303
##
## $tables$FP184
## var
## grouping 0 1
## Low 0.83990719 0.16009281
## High 0.97159091 0.02840909
##
## $tables$FP185
## var
## grouping 0 1
## Low 0.87006961 0.12993039
## High 0.94507576 0.05492424
##
## $tables$FP186
## var
## grouping 0 1
## Low 0.92575406 0.07424594
## High 0.91477273 0.08522727
##
## $tables$FP187
## var
## grouping 0 1
## Low 0.92111369 0.07888631
## High 0.92613636 0.07386364
##
## $tables$FP188
## var
## grouping 0 1
## Low 0.94663573 0.05336427
## High 0.91287879 0.08712121
##
## $tables$FP189
## var
## grouping 0 1
## Low 0.8979118 0.1020882
## High 0.9375000 0.0625000
##
## $tables$FP190
## var
## grouping 0 1
## Low 0.86774942 0.13225058
## High 0.96969697 0.03030303
##
## $tables$FP191
## var
## grouping 0 1
## Low 0.93039443 0.06960557
## High 0.92234848 0.07765152
##
## $tables$FP192
## var
## grouping 0 1
## Low 0.91415313 0.08584687
## High 0.95265152 0.04734848
##
## $tables$FP193
## var
## grouping 0 1
## Low 0.87238979 0.12761021
## High 0.98484848 0.01515152
##
## $tables$FP194
## var
## grouping 0 1
## Low 0.94199536 0.05800464
## High 0.93371212 0.06628788
##
## $tables$FP195
## var
## grouping 0 1
## Low 0.96983759 0.03016241
## High 0.90719697 0.09280303
##
## $tables$FP196
## var
## grouping 0 1
## Low 0.89095128 0.10904872
## High 0.97916667 0.02083333
##
## $tables$FP197
## var
## grouping 0 1
## Low 0.90023202 0.09976798
## High 0.97916667 0.02083333
##
## $tables$FP198
## var
## grouping 0 1
## Low 0.95823666 0.04176334
## High 0.92424242 0.07575758
##
## $tables$FP201
## var
## grouping 0 1
## Low 0.95823666 0.04176334
## High 0.93181818 0.06818182
##
## $tables$FP202
## var
## grouping 0 1
## Low 0.6728538 0.3271462
## High 0.7954545 0.2045455
##
## $tables$FP203
## var
## grouping 0 1
## Low 0.8793503 0.1206497
## High 0.8844697 0.1155303
##
## $tables$FP204
## var
## grouping 0 1
## Low 0.86774942 0.13225058
## High 0.92234848 0.07765152
##
## $tables$FP205
## var
## grouping 0 1
## Low 0.87470998 0.12529002
## High 0.95454545 0.04545455
##
## $tables$FP206
## var
## grouping 0 1
## Low 0.91183295 0.08816705
## High 0.95643939 0.04356061
##
## $tables$FP207
## var
## grouping 0 1
## Low 0.89095128 0.10904872
## High 0.97916667 0.02083333
##
## $tables$FP208
## var
## grouping 0 1
## Low 0.8793503 0.1206497
## High 0.8882576 0.1117424
##
## $tables$MolWeight
## [,1] [,2]
## Low 0.6447051 0.8127549
## High -0.5253608 0.8139447
##
## $tables$NumBonds
## [,1] [,2]
## Low 0.5260887 0.9212852
## High -0.4287020 0.8455727
##
## $tables$NumMultBonds
## [,1] [,2]
## Low 0.4454402 1.0735331
## High -0.3629828 0.7640112
##
## $tables$NumRotBonds
## [,1] [,2]
## Low 0.2155584 1.1862560
## High -0.1756554 0.7754882
##
## $tables$NumDblBonds
## [,1] [,2]
## Low 0.07217700 1.1166156
## High -0.05881599 0.8905851
##
## $tables$NumCarbon
## [,1] [,2]
## Low 0.6263249 0.8520677
## High -0.5103830 0.8023791
##
## $tables$NumNitrogen
## [,1] [,2]
## Low -0.02976857 1.0250998
## High 0.02425798 0.9793858
##
## $tables$NumOxygen
## [,1] [,2]
## Low -0.03406840 1.0954990
## High 0.02776184 0.9149808
##
## $tables$NumSulfer
## [,1] [,2]
## Low 0.11971764 1.2230290
## High -0.09755617 0.7594935
##
## $tables$NumChlorine
## [,1] [,2]
## Low 0.3118792 1.3422891
## High -0.2541458 0.4524838
##
## $tables$NumHalogen
## [,1] [,2]
## Low 0.3385013 1.3025157
## High -0.2758398 0.5145567
##
## $tables$NumRings
## [,1] [,2]
## Low 0.4841073 1.0815485
## High -0.3944921 0.7185989
##
## $tables$HydrophilicFactor
## [,1] [,2]
## Low -0.2459915 0.7233875
## High 0.2004549 1.1404141
##
## $tables$SurfaceArea1
## [,1] [,2]
## Low -0.09225436 1.0302674
## High 0.07517674 0.9691477
##
## $tables$SurfaceArea2
## [,1] [,2]
## Low -0.04168274 1.0668148
## High 0.03396666 0.9417302
##
##
## $levels
## [1] "Low" "High"
##
## $call
## NaiveBayes.default(x = x, grouping = y, usekernel = FALSE, fL = param$fL)
##
## $x
## FP001 FP002 FP003 FP004 FP005 FP006 FP007 FP008 FP009 FP010 FP011 FP012
## X661 0 1 0 0 1 0 0 1 0 0 0 0
## X662 0 1 0 1 1 1 1 1 0 0 1 0
## X663 1 1 1 1 1 0 0 1 0 1 0 0
## X665 0 0 1 0 0 0 1 0 0 0 0 0
## X668 0 0 1 1 1 1 0 0 1 0 0 0
## X669 1 0 1 1 0 0 0 0 1 0 0 1
## X670 0 1 0 1 1 0 0 1 1 0 0 0
## X671 1 0 1 1 0 0 1 0 0 0 0 1
## X672 1 0 1 1 0 1 1 0 1 0 1 0
## X673 1 1 1 1 1 1 1 0 0 0 0 0
## X674 1 1 1 1 1 0 0 1 0 0 0 0
## X676 1 0 1 1 0 1 1 0 0 0 1 0
## X677 0 1 0 0 1 0 0 1 0 0 0 0
## X678 0 1 0 0 1 0 0 0 1 0 0 0
## X679 0 1 1 0 1 0 1 1 0 0 0 0
## X682 1 1 1 1 1 0 0 1 0 1 0 0
## X683 1 0 1 1 1 1 1 1 0 0 0 0
## X684 0 1 0 1 1 1 1 0 1 0 1 0
## X685 1 0 1 1 0 1 1 0 0 0 1 0
## X686 0 1 1 0 1 0 0 1 0 0 0 0
## X688 1 1 0 1 1 1 0 1 1 0 1 1
## X689 0 1 0 1 1 0 1 1 0 0 0 0
## X690 1 1 1 1 1 0 1 1 1 0 0 1
## X691 1 0 0 1 0 1 0 0 1 0 0 0
## X692 1 1 1 1 1 1 0 1 0 0 0 1
## X693 1 1 0 1 1 1 1 1 0 0 0 0
## X695 0 1 1 1 1 0 0 0 0 0 0 0
## X696 0 1 0 0 1 1 0 0 0 0 0 0
## X698 1 1 1 1 1 1 0 1 0 0 0 0
## X699 0 1 0 0 1 0 0 1 1 0 0 0
## X700 0 0 1 0 0 0 1 0 0 0 0 0
## X702 0 0 1 0 0 0 1 0 0 0 0 0
## X703 0 0 1 0 0 0 1 0 0 0 0 0
## X704 0 1 0 0 1 0 0 1 0 0 0 0
## X706 1 1 1 1 1 0 0 1 0 0 0 0
## X708 0 1 0 0 1 0 0 0 0 0 0 0
## X709 0 0 1 0 0 0 1 0 0 0 0 0
## X711 1 0 1 1 0 1 1 0 0 1 1 0
## X712 0 1 1 0 1 0 1 1 0 1 0 0
## X713 1 1 0 1 1 1 0 1 1 1 0 0
## X714 1 0 1 1 0 1 1 0 0 0 1 1
## X715 1 1 0 1 1 1 0 0 1 0 0 1
## X717 0 1 0 0 1 0 0 0 1 0 0 0
## X718 0 1 0 1 1 0 1 0 1 0 0 0
## X721 0 0 1 0 1 1 0 0 1 0 0 0
## X722 1 1 0 1 1 0 0 1 1 0 0 0
## X723 0 0 1 0 0 0 1 0 0 0 0 0
## X724 0 1 0 1 1 0 0 0 0 0 0 0
## X726 0 1 0 1 1 0 0 0 1 1 0 0
## X728 1 1 1 1 1 0 0 1 1 1 0 0
## X729 0 1 0 0 1 0 0 0 1 0 0 0
## X731 0 0 1 0 0 0 1 0 0 0 0 0
## X732 0 1 0 0 1 0 0 0 1 0 0 0
## X733 0 0 1 0 1 1 0 0 1 0 0 0
## X734 0 1 0 0 1 0 0 0 1 0 0 0
## X735 1 0 1 1 0 1 1 0 0 0 1 0
## X736 1 1 1 1 1 1 1 1 0 0 0 1
## X737 1 1 0 1 1 0 0 0 0 0 0 0
## X739 1 1 1 1 1 0 1 1 1 0 0 1
## X740 1 1 0 1 1 0 0 1 1 1 0 0
## X741 1 0 1 1 0 0 1 0 0 1 0 0
## X742 1 0 1 1 0 0 1 0 0 0 0 1
## X743 0 1 0 0 1 0 0 0 1 0 0 0
## X744 0 1 0 0 1 0 0 1 0 0 0 0
## X746 1 1 1 1 1 0 0 1 0 0 0 1
## X747 0 0 1 0 0 1 1 0 0 0 1 0
## X749 1 1 1 1 1 0 1 0 1 0 0 1
## X752 1 0 1 1 0 1 1 0 1 0 1 1
## X753 0 0 1 0 0 0 1 0 0 0 0 0
## X754 0 1 0 1 1 0 1 0 0 0 0 0
## X755 0 1 0 0 1 0 0 1 0 0 0 0
## X757 0 0 1 0 0 0 1 0 1 0 0 0
## X758 0 1 0 1 1 0 0 1 0 0 0 0
## X759 1 0 1 1 0 0 0 0 0 0 0 0
## X760 0 1 0 0 1 0 0 0 1 0 0 0
## X761 1 0 1 1 0 1 1 0 1 0 1 1
## X762 0 1 0 0 1 0 0 1 0 0 0 0
## X763 0 1 0 0 1 1 0 0 1 0 0 0
## X764 0 1 0 0 1 0 0 1 0 0 0 0
## X765 1 1 1 1 1 1 0 1 1 0 1 1
## X767 1 0 1 1 0 0 1 0 1 0 0 1
## X768 0 1 0 0 1 0 0 0 0 0 0 0
## X770 0 1 0 1 1 0 1 0 1 0 0 0
## X771 1 1 0 1 1 1 0 1 1 0 0 0
## X772 0 1 0 0 1 0 0 0 1 0 0 0
## X773 0 0 1 0 0 0 1 0 0 0 0 0
## X774 0 0 1 0 0 0 1 0 1 0 0 0
## X775 1 1 0 1 1 0 1 1 0 1 0 0
## X776 1 1 0 1 1 1 1 1 1 0 0 0
## X777 1 0 1 1 0 0 1 0 0 0 0 1
## X778 1 0 1 1 0 1 1 0 0 1 1 0
## X779 0 1 0 0 1 1 0 0 0 0 0 0
## X780 0 0 0 0 0 0 0 0 1 0 0 0
## X781 1 0 1 1 0 0 1 0 0 0 0 1
## X782 1 1 0 1 1 0 0 1 0 0 0 0
## X784 1 1 0 1 1 1 0 1 1 1 1 0
## X786 0 0 1 0 0 0 1 0 0 0 0 0
## X787 0 1 0 0 1 0 0 0 1 0 0 0
## X788 1 0 1 1 0 0 1 0 0 0 0 0
## X789 0 1 0 0 1 0 0 0 1 0 0 0
## X791 0 1 0 0 1 0 0 0 1 0 0 0
## X792 0 1 0 1 1 0 1 1 1 0 0 0
## X794 1 0 1 1 0 0 1 0 0 1 0 0
## X798 0 1 0 0 1 0 0 0 0 0 0 0
## X799 1 0 0 1 0 0 1 0 1 0 0 0
## X800 0 0 1 1 0 1 1 0 0 0 1 1
## X804 0 1 0 1 1 0 0 1 0 0 0 0
## X805 1 0 1 1 0 1 1 0 0 0 1 1
## X807 1 0 1 1 0 0 0 0 0 0 0 1
## X808 1 1 0 1 1 0 0 1 0 1 0 0
## X809 1 1 1 1 1 0 1 1 0 0 0 1
## X810 0 0 0 0 0 0 1 0 1 0 0 0
## X813 1 0 1 1 0 0 1 0 0 1 0 0
## X814 1 1 1 1 1 0 0 0 1 0 0 1
## X818 0 1 0 0 1 0 0 0 1 0 0 0
## X819 1 1 0 1 1 1 0 1 1 0 0 0
## X820 0 0 1 0 0 1 1 0 0 0 1 0
## X821 0 1 0 0 1 0 0 0 1 0 0 0
## X822 0 1 0 0 1 0 0 0 0 0 0 0
## X823 0 1 0 0 1 1 0 0 0 0 0 0
## X827 0 0 0 1 0 0 1 0 1 0 0 1
## X828 0 1 0 0 1 0 0 0 1 0 0 0
## X829 1 1 1 1 1 0 0 1 1 0 0 1
## X831 0 1 0 0 1 0 0 1 1 0 0 0
## X832 0 1 0 0 1 0 0 0 1 0 0 0
## X833 0 1 0 0 1 0 0 0 1 0 0 0
## X834 0 1 0 0 1 0 0 1 1 0 0 0
## X835 0 1 0 0 1 0 0 0 1 0 0 0
## X836 0 1 0 0 1 0 0 0 1 0 0 0
## X839 0 1 0 0 1 0 0 1 0 0 0 0
## X840 0 1 0 0 1 0 0 0 0 0 0 0
## X841 0 1 0 0 1 0 0 0 1 0 0 0
## X842 0 1 1 0 1 0 0 1 0 0 0 0
## X843 0 1 0 0 1 0 0 1 1 0 0 0
## X846 0 1 0 0 1 0 0 0 0 0 0 0
## X848 0 1 0 0 1 0 0 0 1 0 0 0
## X849 0 1 0 0 1 0 0 0 1 0 0 0
## X851 0 0 1 1 0 1 1 0 0 0 1 1
## X854 0 1 0 0 1 0 0 0 1 0 0 0
## X855 0 1 0 0 1 0 0 0 0 0 0 0
## X856 0 1 0 0 1 0 0 0 1 0 0 0
## X857 0 1 0 0 1 0 0 0 1 0 0 0
## X858 0 1 0 0 1 0 0 0 1 0 0 0
## X859 0 1 0 0 1 0 0 0 1 0 0 0
## X860 0 1 0 0 1 0 0 0 1 0 0 0
## X862 0 1 0 0 1 0 0 0 1 0 0 0
## X863 0 1 0 0 1 0 0 0 1 0 0 0
## X864 0 1 0 0 1 0 0 1 0 0 0 0
## X865 0 1 0 0 1 0 0 0 0 0 0 0
## X866 0 1 0 0 1 0 0 0 1 0 0 0
## X867 0 1 0 0 1 0 0 0 0 0 0 0
## X869 0 1 0 0 1 0 0 1 1 0 0 0
## X870 0 1 0 0 1 0 0 0 1 0 0 0
## X871 0 1 0 0 1 0 0 0 1 0 0 0
## X872 0 1 0 0 1 0 0 0 1 0 0 0
## X873 0 1 0 0 1 0 0 0 0 0 0 0
## X875 0 1 0 0 1 0 0 0 1 0 0 0
## X876 0 1 0 0 1 0 0 0 1 0 0 0
## X877 0 0 0 0 1 0 0 0 1 0 0 0
## X1190 0 1 0 1 1 0 0 0 0 0 0 0
## X1191 0 0 1 0 0 0 1 0 1 0 0 0
## X1192 1 0 1 1 0 1 1 0 0 0 1 0
## X1193 0 1 0 0 1 0 0 1 0 0 0 0
## X1194 1 0 1 1 0 1 1 0 0 0 1 1
## X1195 0 1 0 0 1 0 0 0 1 0 0 0
## X1197 0 1 1 0 1 0 1 1 0 0 0 0
## X1198 0 1 0 0 1 0 0 0 1 0 0 0
## X1199 0 0 1 1 1 1 0 0 0 0 0 0
## X1200 1 0 1 1 0 0 0 0 0 0 0 1
## X1201 1 1 0 1 1 0 0 1 0 0 0 1
## X1202 1 0 1 1 0 1 1 0 1 0 1 1
## X1203 0 0 0 0 0 0 1 0 0 0 0 0
## X1204 1 1 0 1 1 1 0 1 0 1 0 0
## X1205 1 1 0 1 1 1 0 1 1 1 0 0
## X1206 0 0 0 0 0 0 0 0 1 0 0 0
## X1207 0 1 1 1 1 0 0 0 0 0 0 0
## X1208 1 0 1 1 0 0 1 0 0 0 0 1
## X1209 0 0 0 0 1 0 0 0 1 1 0 0
## X1210 1 0 1 1 0 1 1 0 0 1 1 0
## X1212 0 1 1 0 1 1 1 1 0 1 1 0
## X1213 0 1 0 1 1 0 1 0 0 0 0 0
## X1215 1 0 1 1 0 1 1 0 1 0 1 1
## X1216 0 1 0 0 1 0 0 0 0 0 0 0
## X1217 0 1 0 0 1 1 0 1 1 0 1 0
## X1219 0 1 1 0 1 0 1 1 0 1 0 0
## X1220 1 1 0 1 1 1 1 1 1 0 1 0
## X1221 0 0 1 0 0 0 1 0 1 0 0 0
## X1222 0 1 0 0 1 0 1 1 0 0 0 0
## X1226 0 1 0 1 1 0 1 1 1 0 0 0
## X1228 1 1 0 1 1 0 0 1 0 0 0 1
## X1229 1 0 1 1 0 1 1 0 0 0 1 1
## X1230 1 1 0 1 1 0 0 1 0 0 0 1
## X1231 0 1 0 0 1 0 0 1 0 0 0 0
## X1233 1 0 1 1 0 1 1 0 0 0 1 0
## X1234 0 1 0 0 1 0 0 1 0 0 0 0
## X1236 1 0 1 1 0 0 1 0 0 0 0 1
## X1237 1 1 0 1 1 0 0 0 1 0 0 1
## X1239 1 0 1 1 0 0 0 0 1 0 0 1
## X1242 0 0 0 0 0 0 0 0 1 0 0 0
## X1244 0 1 0 0 1 0 0 0 1 0 0 0
## X1245 0 1 1 0 1 0 1 1 0 0 0 0
## X1246 1 1 1 1 1 0 1 1 0 1 0 0
## X1247 1 1 1 1 1 0 0 1 0 0 0 1
## X1249 1 1 1 1 1 0 0 1 1 0 0 1
## X1250 0 0 0 0 0 1 0 0 1 0 1 0
## X1251 0 0 0 0 1 0 0 1 1 0 0 0
## X1253 1 1 1 1 1 0 0 0 1 0 0 1
## X1254 0 1 0 0 1 0 0 0 1 0 0 0
## X1255 0 1 0 0 1 0 0 1 0 0 0 0
## X1256 0 1 0 0 1 0 1 1 0 0 0 0
## X1257 0 1 0 0 1 0 0 0 1 0 0 0
## X1259 0 0 0 1 0 0 1 0 1 0 0 1
## X1260 0 1 0 0 1 0 0 0 1 0 0 0
## X1262 1 1 1 1 1 0 0 1 1 0 0 1
## X1264 0 0 0 0 0 0 0 0 1 0 0 0
## X1265 0 1 0 0 1 0 0 0 1 0 0 0
## X1266 0 1 0 0 1 0 0 1 1 0 0 0
## X1267 1 1 0 1 1 0 0 1 0 1 0 0
## X1268 1 0 1 1 0 0 1 0 0 1 0 0
## X1273 0 1 0 0 1 0 0 0 1 0 0 0
## X1274 0 0 1 0 0 1 1 0 0 0 1 0
## X1275 0 0 0 0 0 0 1 0 1 0 0 0
## X1276 0 1 0 0 1 0 0 0 0 0 0 0
## X1277 0 1 0 0 1 0 0 0 1 0 0 0
## X1278 0 1 0 0 1 0 0 1 0 0 0 0
## X1279 0 1 0 0 1 0 0 0 0 0 0 0
## X1281 0 1 0 0 1 0 0 0 1 0 0 0
## X1282 0 1 0 0 1 0 0 0 1 0 0 0
## X1283 0 1 0 0 1 0 0 0 0 0 0 0
## X1284 0 1 0 0 1 0 0 0 0 0 0 0
## X1285 0 1 0 0 1 0 0 0 1 0 0 0
## X1288 0 1 0 0 1 0 0 0 1 0 0 0
## X1299 1 1 0 1 1 1 0 1 0 0 0 0
## X1301 1 0 1 1 0 1 1 0 0 0 1 0
## X1302 0 0 0 0 0 0 0 0 1 0 0 0
## X1307 1 1 1 1 1 0 0 0 1 0 0 1
## X1309 0 1 0 0 1 0 0 1 1 0 0 0
## X1310 0 0 0 0 0 0 1 0 1 0 0 0
## X447 1 1 0 1 1 0 0 0 1 1 0 0
## X448 1 1 0 1 1 1 1 1 1 1 1 0
## X451 0 0 1 0 0 0 1 0 0 0 0 0
## X452 0 1 0 0 1 0 0 1 1 0 0 0
## X453 0 1 0 0 1 0 0 0 0 1 0 0
## X454 1 1 0 1 1 1 0 1 0 0 0 0
## X455 1 1 1 1 1 0 0 1 1 1 0 0
## X456 1 1 1 1 1 1 1 0 0 0 0 1
## X458 1 1 0 1 1 1 0 1 0 0 0 0
## X459 1 0 1 1 0 0 1 0 0 0 0 0
## X460 0 0 0 0 0 0 1 0 0 0 0 0
## X461 1 1 0 1 1 0 0 1 1 1 0 0
## X462 0 1 1 0 1 0 0 0 0 0 0 0
## X463 0 1 0 1 1 1 0 1 0 0 0 0
## X464 0 0 0 0 0 0 0 0 1 0 0 0
## X465 0 1 0 1 1 1 1 1 0 0 1 0
## X466 1 1 0 1 1 0 0 0 1 1 0 0
## X468 1 0 1 1 0 1 1 0 0 0 1 1
## X471 1 1 1 1 1 1 1 1 0 0 0 0
## X472 0 0 1 0 0 0 1 0 1 0 0 0
## X473 0 0 0 0 0 0 1 0 0 0 0 0
## X476 1 1 0 1 1 0 0 1 0 1 0 0
## X477 1 1 1 1 1 1 0 1 0 0 0 0
## X478 0 0 0 0 0 0 1 0 0 0 0 0
## X479 0 0 1 0 0 0 1 0 0 0 0 0
## X480 0 1 0 0 1 0 0 0 0 0 0 0
## X482 0 0 1 0 0 0 0 0 1 0 0 0
## X483 0 0 1 0 0 0 0 0 1 0 0 0
## X484 0 1 0 0 1 1 0 0 0 0 0 0
## X486 1 0 1 1 0 0 1 0 0 0 0 1
## X487 1 1 1 1 1 0 0 1 0 0 0 1
## X488 1 1 1 1 1 0 1 1 0 1 0 1
## X489 1 1 0 1 1 0 0 1 1 1 0 0
## X490 1 1 1 1 1 0 0 1 1 0 0 1
## X491 0 0 1 0 0 0 1 0 1 0 0 0
## X492 1 0 1 1 0 1 1 0 0 0 0 0
## X493 1 0 1 1 0 0 1 0 0 1 0 0
## X494 1 0 0 1 1 1 0 0 1 1 0 0
## X495 0 1 0 1 1 1 1 1 0 0 1 0
## X496 1 0 0 1 1 1 0 0 0 0 0 0
## X497 0 1 0 0 1 0 0 0 0 0 0 0
## X498 0 1 0 0 1 0 0 1 1 1 0 0
## X499 0 1 0 0 1 0 0 1 0 0 0 0
## X501 1 1 0 1 1 0 0 0 1 0 0 0
## X502 0 1 0 0 1 0 0 1 0 0 0 0
## X503 0 1 1 1 1 1 1 1 0 0 1 0
## X505 1 1 1 1 1 1 0 0 1 0 0 0
## X506 1 1 0 1 1 1 0 1 0 0 0 0
## X507 0 1 0 1 1 1 0 1 0 0 0 0
## X508 1 1 0 1 1 1 0 1 1 1 1 0
## X509 1 1 1 1 1 1 0 1 0 1 1 0
## X510 1 1 0 1 1 1 0 0 1 0 1 0
## X513 0 0 1 0 0 0 1 0 1 0 0 0
## X514 1 1 0 1 1 1 0 1 0 0 0 0
## X515 0 1 0 0 1 0 0 0 0 1 0 0
## X516 0 1 0 1 1 0 0 1 0 0 0 0
## X518 1 1 1 1 1 1 0 0 0 0 0 0
## X521 1 1 0 1 1 1 0 1 0 0 0 0
## X523 1 1 1 1 1 0 0 1 0 0 0 1
## X524 1 1 1 1 1 1 1 0 1 0 0 0
## X525 1 0 1 1 0 1 1 0 0 0 0 0
## X526 0 0 1 0 0 1 1 0 0 0 1 0
## X530 0 1 1 1 1 0 0 0 0 0 0 0
## X531 1 1 1 1 1 1 0 1 0 1 0 0
## X532 0 0 1 1 1 1 0 0 0 0 0 0
## X533 1 1 0 1 1 1 0 1 1 0 1 0
## X534 1 1 1 1 1 1 1 1 0 0 0 0
## X535 0 1 0 0 1 0 0 0 1 0 0 0
## X536 0 1 0 0 1 1 1 1 0 0 1 0
## X538 1 1 0 1 1 0 0 1 0 1 0 0
## X539 0 1 0 0 1 1 1 1 0 0 1 0
## X542 1 0 1 1 0 1 1 0 0 0 1 0
## X543 0 0 1 0 0 0 1 0 1 0 0 0
## X544 1 1 1 1 1 1 1 1 0 1 1 0
## X545 0 0 1 0 0 0 1 0 0 0 0 0
## X546 0 0 0 0 0 0 0 0 1 0 0 0
## X548 0 1 1 1 1 0 0 1 0 0 0 0
## X549 0 1 0 0 1 0 0 0 1 0 0 0
## X551 0 0 0 0 0 0 0 0 1 0 0 0
## X552 1 1 0 1 1 0 0 1 0 0 0 1
## X553 1 1 1 1 1 1 0 0 0 0 0 1
## X554 0 0 1 0 1 1 0 0 1 0 0 0
## X556 1 1 0 1 1 0 0 1 0 1 0 0
## X557 1 1 1 1 1 1 0 1 1 0 0 0
## X558 0 1 0 1 1 0 0 0 0 0 0 0
## X559 0 0 1 0 0 0 1 0 0 0 0 0
## X560 0 1 0 0 1 0 0 1 0 0 0 0
## X561 0 1 0 0 1 0 0 0 1 0 0 0
## X562 0 1 1 0 1 0 0 1 0 0 0 0
## X563 1 1 0 1 1 0 0 1 0 1 0 0
## X565 0 0 1 0 0 0 1 0 0 0 0 0
## X566 0 1 0 0 1 1 0 0 1 0 0 0
## X567 1 1 1 1 1 1 0 1 1 0 0 0
## X568 1 1 1 1 1 1 0 0 1 0 0 0
## X569 1 1 1 1 1 0 0 1 1 0 0 1
## X571 1 1 0 1 1 1 0 1 1 0 0 1
## X572 1 1 1 1 1 1 1 1 0 0 0 1
## X574 0 0 1 0 0 0 1 0 0 0 0 0
## X576 1 1 0 1 1 1 0 1 0 0 0 0
## X577 1 1 0 1 1 1 0 0 0 0 0 0
## X579 1 1 0 1 1 1 0 1 0 0 0 0
## X580 1 1 0 1 1 0 0 1 1 1 0 0
## X582 1 0 1 1 0 0 1 0 0 0 0 0
## X583 0 1 0 0 1 0 0 1 0 0 0 0
## X584 1 1 0 1 1 0 1 1 0 0 0 1
## X586 1 1 1 1 1 0 0 1 0 0 0 1
## X587 0 1 0 0 1 0 0 0 0 0 0 0
## X588 1 0 1 1 0 1 1 0 0 0 0 0
## X589 1 0 1 1 0 1 1 0 0 1 1 0
## X591 0 1 0 1 1 1 1 1 0 0 1 0
## X592 0 1 1 0 1 0 1 1 0 0 0 0
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## X771 0 0 0 0 0 0 1 0 0 0 0 0
## X772 0 0 0 0 0 0 0 0 0 1 0 0
## X773 0 0 0 0 0 0 0 0 1 0 1 0
## X774 0 0 0 0 0 0 0 0 1 0 1 0
## X775 0 0 0 0 0 0 1 1 0 0 0 0
## X776 0 0 0 0 0 0 0 0 0 0 0 1
## X777 0 0 0 0 0 0 0 0 1 0 0 0
## X778 0 0 1 0 0 0 0 0 0 0 0 0
## X779 1 0 0 0 0 0 1 0 0 0 0 0
## X780 0 0 0 0 0 0 0 0 0 0 0 0
## X781 0 0 0 0 0 0 0 0 0 0 0 0
## X782 0 0 0 0 0 0 1 0 0 0 0 0
## X784 0 0 0 0 0 0 0 0 0 0 0 0
## X786 0 0 0 0 0 0 0 0 1 0 1 0
## X787 0 0 0 0 0 0 1 1 0 0 0 1
## X788 0 0 1 1 0 0 0 0 0 0 0 0
## X789 0 0 0 0 0 0 1 0 0 0 0 0
## X791 0 0 0 0 0 0 1 0 0 0 0 1
## X792 0 0 0 0 0 0 1 0 0 0 0 0
## X794 0 0 0 0 0 0 0 0 1 0 1 0
## X798 0 0 0 0 0 0 1 0 0 0 0 0
## X799 0 0 0 0 0 0 0 0 0 0 0 0
## X800 0 0 1 0 0 0 0 0 0 0 0 0
## X804 0 0 0 0 0 0 0 0 0 0 0 0
## X805 0 0 1 1 0 0 0 0 0 0 0 0
## X807 0 0 0 0 0 0 0 0 0 0 0 0
## X808 0 0 0 0 0 0 1 1 0 0 0 0
## X809 0 0 0 0 0 0 1 1 1 0 0 0
## X810 0 0 0 0 0 0 0 0 0 0 0 0
## X813 0 0 0 0 0 0 0 0 1 0 1 0
## X814 0 0 0 0 0 0 0 0 0 0 0 0
## X818 0 0 0 0 0 0 0 0 0 1 0 1
## X819 0 0 0 0 0 0 0 0 0 1 0 1
## X820 0 0 0 0 1 0 0 0 1 0 1 0
## X821 0 0 0 0 0 0 1 1 0 0 0 0
## X822 0 0 0 0 0 0 0 0 0 1 0 0
## X823 1 0 0 0 0 0 1 0 0 0 0 0
## X827 0 0 0 0 0 0 0 0 0 0 0 0
## X828 0 0 0 0 0 0 1 0 0 0 0 0
## X829 0 0 0 0 0 0 1 0 0 0 0 0
## X831 0 0 0 0 0 0 1 0 0 0 0 1
## X832 0 0 0 0 0 0 1 1 0 0 0 0
## X833 0 0 0 0 0 0 0 0 0 1 0 1
## X834 0 0 0 0 0 0 1 0 0 0 0 1
## X835 0 0 0 0 0 0 0 0 0 0 0 1
## X836 0 0 0 0 0 0 0 0 0 0 0 1
## X839 0 0 0 0 0 0 1 0 0 0 0 0
## X840 0 0 0 0 0 0 1 0 0 0 0 0
## X841 0 0 0 0 0 0 0 0 0 1 0 1
## X842 0 0 0 0 0 0 1 0 0 0 0 0
## X843 0 0 0 0 0 0 0 0 0 0 0 1
## X846 0 0 0 0 0 0 1 1 0 0 0 0
## X848 0 0 0 0 0 0 1 0 0 0 0 0
## X849 0 0 0 0 0 0 0 0 0 0 0 1
## X851 0 0 1 0 0 0 0 0 0 0 0 0
## X854 0 0 0 0 0 0 0 0 0 1 0 0
## X855 0 0 0 0 0 0 1 0 0 0 0 0
## X856 0 0 0 0 0 0 0 0 0 0 0 1
## X857 0 0 0 0 0 0 1 0 0 0 0 0
## X858 0 0 0 0 0 0 0 0 0 0 0 0
## X859 0 0 0 0 0 0 0 0 0 0 0 1
## X860 0 0 0 0 0 0 0 0 0 0 0 1
## X862 0 0 0 0 0 0 1 1 0 0 0 0
## X863 0 0 0 0 0 0 0 0 0 0 0 0
## X864 0 0 0 1 0 0 1 0 0 0 0 0
## X865 0 0 0 0 0 0 1 0 0 1 0 0
## X866 0 0 0 0 0 0 0 0 0 0 0 0
## X867 0 0 0 0 0 0 1 0 0 1 0 0
## X869 0 0 0 0 0 0 1 1 0 1 0 0
## X870 0 0 0 0 0 0 0 0 0 0 0 0
## X871 0 0 0 0 0 0 0 0 0 1 0 0
## X872 0 0 0 0 0 0 0 0 0 0 0 0
## X873 0 0 0 0 0 0 0 0 0 1 0 0
## X875 0 0 0 0 0 0 0 0 0 0 0 0
## X876 0 0 0 0 0 0 0 0 0 0 0 0
## X877 0 0 0 0 0 0 0 0 0 0 0 0
## X1190 0 0 0 0 0 0 1 1 0 0 0 0
## X1191 0 0 0 0 0 0 0 0 1 0 1 0
## X1192 0 0 1 1 0 0 0 0 0 0 0 0
## X1193 0 0 0 0 0 0 0 0 0 0 0 0
## X1194 0 0 1 1 0 0 0 0 0 0 0 0
## X1195 0 0 0 0 0 0 0 0 0 1 0 0
## X1197 0 0 0 0 0 0 1 1 1 0 0 0
## X1198 0 0 0 0 0 0 0 0 0 0 0 0
## X1199 0 0 0 0 0 0 0 0 0 0 0 0
## X1200 0 0 0 0 0 0 0 0 0 0 0 0
## X1201 0 0 0 1 0 0 0 0 0 0 0 0
## X1202 0 0 1 1 0 0 0 0 0 0 0 0
## X1203 0 0 0 0 0 0 0 0 0 0 0 0
## X1204 0 0 0 0 0 1 1 0 0 0 0 0
## X1205 0 0 0 0 0 1 0 0 0 1 0 0
## X1206 0 0 0 0 0 0 0 0 0 0 0 0
## X1207 0 0 0 0 0 0 1 0 0 0 0 0
## X1208 0 0 1 1 0 0 0 0 0 0 0 0
## X1209 0 0 0 0 0 0 0 0 0 0 0 0
## X1210 0 0 1 0 0 0 0 0 0 0 0 0
## X1212 0 0 1 1 0 0 0 0 0 0 0 0
## X1213 0 0 0 0 0 0 1 0 0 0 0 0
## X1215 0 0 1 1 1 0 0 0 0 0 0 0
## X1216 0 0 0 0 0 0 1 0 0 0 0 0
## X1217 0 0 0 0 0 0 1 0 0 0 0 1
## X1219 0 0 0 0 0 0 0 0 0 0 0 0
## X1220 0 0 0 0 0 0 0 0 0 0 0 1
## X1221 0 0 0 0 0 0 0 0 1 0 1 0
## X1222 0 0 0 1 0 0 1 0 0 0 0 0
## X1226 0 0 0 0 0 0 1 0 0 0 0 0
## X1228 0 0 0 0 0 0 0 0 0 0 0 0
## X1229 0 0 1 1 0 0 0 0 0 0 0 0
## X1230 0 0 0 0 0 0 1 1 0 0 0 0
## X1231 0 0 0 0 0 0 1 1 0 0 0 0
## X1233 0 0 1 0 0 0 0 0 0 0 0 0
## X1234 0 0 0 0 0 0 1 0 0 0 0 0
## X1236 0 0 1 1 0 0 0 0 0 0 0 0
## X1237 0 0 0 0 0 0 0 0 0 0 0 0
## X1239 0 0 0 0 0 0 0 0 0 0 0 0
## X1242 0 0 0 0 0 0 0 0 0 0 0 0
## X1244 0 0 0 0 0 0 1 1 0 0 0 1
## X1245 0 0 0 0 0 0 1 1 1 0 1 0
## X1246 0 0 1 1 0 0 0 0 0 0 0 0
## X1247 0 0 1 0 0 0 1 1 0 1 0 0
## X1249 0 0 0 0 0 0 0 0 0 0 0 0
## X1250 0 0 0 0 0 0 0 0 0 0 0 0
## X1251 0 0 0 0 0 0 0 0 0 0 0 0
## X1253 0 0 0 0 0 0 0 0 0 0 0 1
## X1254 0 0 0 0 0 0 0 0 0 1 0 0
## X1255 0 0 0 0 0 0 1 0 0 0 0 0
## X1256 0 0 0 1 0 0 0 0 0 0 0 0
## X1257 0 0 0 0 0 0 1 0 0 0 0 1
## X1259 0 0 0 0 0 0 0 0 0 0 0 0
## X1260 0 0 0 0 0 0 0 0 0 0 0 1
## X1262 0 0 1 0 0 0 1 1 0 1 0 0
## X1264 0 0 0 0 0 0 0 0 0 0 0 0
## X1265 0 0 0 0 0 0 0 0 0 0 0 1
## X1266 0 0 0 0 0 0 1 0 0 0 0 1
## X1267 0 0 0 0 0 0 0 0 0 1 0 0
## X1268 0 0 0 0 0 0 0 0 1 0 1 0
## X1273 0 0 0 0 0 0 1 1 0 0 0 0
## X1274 0 0 0 0 1 0 0 0 1 0 1 0
## X1275 0 0 0 0 0 0 0 0 0 0 0 0
## X1276 0 0 0 0 0 0 1 0 0 1 0 0
## X1277 0 0 0 0 0 0 0 0 0 0 0 1
## X1278 0 0 0 0 0 0 1 0 0 0 0 0
## X1279 0 0 0 0 0 0 1 0 0 0 0 0
## X1281 0 0 0 0 0 0 0 0 0 0 0 0
## X1282 0 0 0 0 0 0 0 0 0 1 0 0
## X1283 0 0 0 0 0 0 1 0 0 1 0 0
## X1284 0 0 0 0 0 0 1 0 0 0 0 0
## X1285 0 0 0 0 0 0 0 0 0 0 0 0
## X1288 0 0 0 0 0 0 0 0 0 0 0 0
## X1299 0 1 0 0 0 0 1 1 0 0 0 0
## X1301 0 0 1 1 0 0 0 0 0 0 0 0
## X1302 0 0 0 0 0 0 0 0 0 0 0 0
## X1307 0 0 0 0 0 0 0 0 0 0 0 0
## X1309 0 0 0 0 0 0 0 0 0 0 0 1
## X1310 0 0 0 0 0 0 0 0 0 0 0 0
## X447 0 0 0 0 0 0 0 0 0 0 0 1
## X448 0 0 0 0 0 0 0 0 0 0 0 0
## X451 0 0 0 0 0 0 0 0 0 0 0 0
## X452 0 0 0 0 0 0 0 0 0 0 0 0
## X453 0 0 0 0 0 1 0 0 0 1 0 0
## X454 1 0 0 0 0 0 0 0 0 0 0 0
## X455 0 0 0 0 0 0 0 0 0 0 0 1
## X456 0 0 0 1 0 0 1 1 0 0 0 0
## X458 1 0 0 0 0 1 0 0 0 0 0 0
## X459 0 0 0 0 0 0 0 0 1 0 1 0
## X460 0 0 0 0 0 0 0 0 0 0 0 0
## X461 0 0 0 0 0 0 0 0 0 1 0 0
## X462 0 0 0 0 0 0 0 0 0 0 0 0
## X463 0 1 0 0 0 0 1 1 0 0 0 0
## X464 0 0 0 0 0 0 0 0 0 0 0 0
## X465 0 0 0 0 0 0 0 0 0 0 0 0
## X466 0 0 0 0 0 0 0 0 0 1 0 0
## X468 0 0 0 0 0 0 0 0 1 0 1 0
## X471 1 0 0 0 0 0 0 0 0 0 0 0
## X472 0 0 0 0 0 0 0 0 0 0 0 0
## X473 0 0 0 0 0 0 0 0 0 0 0 0
## X476 0 0 0 0 0 0 1 0 0 1 0 0
## X477 0 1 0 0 0 0 1 0 0 0 0 0
## X478 0 0 0 0 0 0 0 0 0 0 0 0
## X479 0 0 0 0 0 0 0 0 0 0 0 0
## X480 0 0 0 0 0 1 0 0 0 0 0 0
## X482 0 0 0 0 0 0 0 0 0 0 0 0
## X483 0 0 0 0 0 0 0 0 0 0 0 0
## X484 1 0 0 0 0 0 0 0 0 0 0 0
## X486 0 0 0 0 0 0 0 0 1 0 1 0
## X487 0 0 0 0 0 0 0 0 0 0 0 0
## X488 0 0 0 0 0 0 0 0 1 0 0 0
## X489 0 0 0 0 0 0 1 0 0 0 0 0
## X490 0 0 0 0 0 0 0 0 0 1 0 0
## X491 0 0 0 0 0 0 0 0 1 0 1 0
## X492 0 1 1 1 0 0 0 0 0 0 0 0
## X493 0 0 0 0 0 0 0 0 1 0 1 0
## X494 1 0 0 0 0 0 0 0 0 0 0 0
## X495 0 0 0 0 0 1 0 0 0 0 0 0
## X496 0 1 0 0 0 1 0 0 0 0 0 0
## X497 0 0 0 0 0 1 1 0 0 0 0 0
## X498 0 0 0 0 0 0 0 0 0 0 0 0
## X499 0 0 0 0 0 0 1 0 0 0 0 0
## X501 0 0 0 0 0 0 0 0 0 0 0 0
## X502 0 0 0 0 0 0 0 0 0 1 0 0
## X503 0 0 0 0 0 0 1 0 0 0 0 0
## X505 0 0 0 0 0 0 0 0 0 0 0 1
## X506 1 0 0 0 0 1 0 0 0 0 0 0
## X507 1 0 0 0 0 1 0 0 0 0 0 0
## X508 0 0 0 0 0 0 0 0 0 0 0 0
## X509 0 0 0 0 0 0 0 0 0 1 0 0
## X510 1 0 0 0 0 0 1 1 0 0 0 0
## X513 0 0 0 0 0 0 0 0 0 0 0 0
## X514 1 0 0 0 0 0 0 0 0 0 0 0
## X515 0 0 0 0 0 0 0 0 0 1 0 0
## X516 0 0 0 0 0 0 0 0 0 0 0 0
## X518 0 0 0 0 0 0 0 0 0 1 0 0
## X521 1 0 0 0 0 0 0 0 0 0 0 0
## X523 0 0 0 0 0 0 1 1 0 0 0 0
## X524 0 0 0 0 0 0 0 0 0 0 0 0
## X525 0 1 0 1 0 0 0 0 0 0 0 0
## X526 0 0 0 0 1 0 0 0 1 0 1 0
## X530 0 0 0 0 0 0 1 1 0 0 0 0
## X531 0 0 0 0 0 0 0 0 0 0 0 0
## X532 0 0 0 0 0 0 0 0 0 0 0 0
## X533 0 1 0 0 0 0 0 0 0 0 0 0
## X534 0 0 0 0 0 0 1 1 1 0 0 0
## X535 0 0 0 0 0 0 1 0 0 0 0 0
## X536 0 0 0 0 0 1 1 0 0 0 0 0
## X538 0 0 0 0 0 0 0 0 0 0 0 0
## X539 0 0 0 0 0 1 1 0 0 0 0 0
## X542 0 0 1 1 1 0 0 0 0 0 0 0
## X543 0 0 0 0 0 0 0 0 1 0 1 0
## X544 0 0 1 0 0 0 0 0 0 1 0 0
## X545 0 0 0 0 0 0 0 0 1 0 0 0
## X546 0 0 0 0 0 0 0 0 0 0 0 0
## X548 0 0 0 0 0 0 0 0 0 0 0 0
## X549 0 0 0 0 0 0 0 0 0 0 0 0
## X551 0 0 0 0 0 0 0 0 0 0 0 0
## X552 0 0 0 1 0 0 0 0 0 0 0 0
## X553 0 0 0 0 0 0 1 1 0 0 0 0
## X554 0 0 0 0 0 0 0 0 0 0 0 0
## X556 0 0 0 0 0 0 1 1 0 0 0 0
## X557 1 0 0 0 0 0 0 0 0 0 0 0
## X558 0 0 0 0 0 0 1 0 0 0 0 0
## X559 0 0 0 0 0 0 0 0 1 0 0 0
## X560 0 0 0 0 0 0 0 0 0 1 0 0
## X561 0 0 0 0 0 0 0 0 0 1 0 0
## X562 0 0 0 0 0 0 1 0 0 0 0 0
## X563 0 0 0 0 0 0 1 1 0 0 0 0
## X565 0 0 0 0 0 0 0 0 1 0 0 0
## X566 1 0 0 0 0 0 0 0 0 0 0 0
## X567 0 0 0 0 0 0 0 0 0 0 0 0
## X568 0 0 0 0 0 0 0 0 0 0 0 0
## X569 0 0 0 0 0 0 0 0 0 1 0 0
## X571 1 0 0 0 0 0 0 0 0 0 0 0
## X572 1 0 0 0 0 0 0 0 1 0 1 0
## X574 0 0 0 1 0 0 0 0 0 0 0 0
## X576 1 0 0 0 0 0 0 0 0 0 0 0
## X577 0 0 0 0 0 0 1 0 0 1 0 0
## X579 0 0 0 0 0 0 1 1 0 0 0 0
## X580 0 0 0 0 0 0 0 0 0 0 0 0
## X582 0 0 0 0 0 0 0 0 1 0 1 0
## X583 0 0 0 0 0 0 0 0 0 0 0 0
## X584 0 0 0 0 0 0 1 0 0 0 0 0
## X586 0 0 0 0 0 0 1 0 0 0 0 0
## X587 0 0 0 0 0 1 1 0 0 0 0 0
## X588 0 1 0 0 0 0 0 0 0 0 0 0
## X589 0 0 1 0 0 0 0 0 0 0 0 0
## X591 0 0 0 0 0 1 0 0 0 0 0 0
## X592 0 0 0 0 0 0 1 1 0 0 0 0
## X593 0 0 0 0 0 0 1 0 0 0 0 0
## X594 0 0 0 0 0 0 0 0 1 0 1 0
## X595 0 0 0 0 0 0 0 0 0 0 0 0
## X596 0 0 0 0 0 0 0 0 1 0 0 0
## X597 0 0 0 0 0 0 1 0 0 0 0 0
## X598 0 0 0 0 0 0 0 0 0 0 0 0
## X599 0 0 0 0 0 0 0 0 0 0 0 0
## X600 0 0 1 0 0 0 0 0 0 0 0 0
## X603 0 0 0 0 0 0 0 0 1 0 1 0
## X604 0 1 0 0 0 0 0 0 0 0 0 0
## X605 0 0 1 1 0 0 0 0 0 0 0 0
## X606 0 0 0 0 0 0 1 1 1 0 0 0
## X608 0 0 0 0 0 0 1 0 0 0 0 0
## X609 1 0 0 0 0 1 0 0 0 0 0 0
## X611 0 0 0 0 0 0 0 0 0 0 0 0
## X612 0 0 0 0 0 0 0 0 0 0 0 0
## X613 0 0 0 0 0 0 0 0 0 1 0 0
## X614 0 0 0 0 0 0 1 0 0 0 0 0
## X616 0 0 0 0 0 0 0 0 0 0 0 0
## X617 0 0 0 0 0 0 1 0 0 1 0 0
## X619 0 1 0 0 0 0 1 1 0 0 0 0
## X620 0 0 0 0 0 0 0 0 0 0 0 1
## X621 0 0 0 0 0 0 1 1 0 0 0 0
## X622 0 0 0 0 0 0 1 0 0 0 0 0
## X623 0 1 0 0 0 0 1 0 0 0 0 1
## X625 0 0 0 0 0 0 0 0 0 0 0 1
## X628 0 0 1 1 1 0 0 0 0 0 0 0
## X629 0 0 1 0 0 0 0 0 0 0 0 0
## X630 0 0 0 1 0 0 1 0 0 0 0 0
## X631 0 0 0 0 0 0 0 0 1 0 1 0
## X632 0 0 0 0 0 0 0 0 0 0 0 0
## X633 0 0 0 0 0 0 0 0 0 0 0 1
## X635 0 0 0 0 0 0 0 0 0 0 0 0
## X636 0 0 1 1 1 0 0 0 0 0 0 0
## X637 0 0 1 1 0 0 0 0 0 0 0 0
## X638 0 0 0 0 0 0 1 1 0 1 0 0
## X639 1 0 0 0 0 1 0 0 0 0 0 0
## X641 0 0 0 0 0 0 1 1 1 0 0 0
## X648 0 0 0 0 0 0 0 0 0 1 0 0
## X650 0 0 0 0 0 0 0 0 0 0 0 0
## X651 0 0 0 0 0 0 1 1 1 0 0 0
## X653 0 0 1 0 0 0 0 0 0 0 0 0
## X654 0 0 0 0 0 0 0 0 1 0 0 0
## X655 0 0 0 0 0 0 1 1 0 0 0 0
## X656 0 0 0 0 0 0 1 0 0 1 0 0
## X657 1 0 0 0 0 0 0 0 1 0 1 0
## X1082 0 0 0 0 0 0 0 0 0 0 0 0
## X1083 0 0 0 0 0 0 1 1 0 0 0 0
## X1084 0 0 0 0 0 0 0 0 0 0 0 0
## X1086 0 0 0 0 0 0 1 1 0 0 0 0
## X1088 0 0 0 0 0 0 0 0 0 0 0 1
## X1089 0 0 0 0 0 0 1 0 0 0 0 0
## X1090 0 0 0 0 0 0 0 0 0 0 0 0
## X1091 0 0 0 0 0 0 0 0 1 0 1 0
## X1092 0 0 0 0 0 0 0 0 1 0 0 0
## X1093 0 0 1 0 0 0 0 0 0 0 0 0
## X1094 0 0 0 0 0 0 0 0 0 0 0 0
## X1095 0 1 0 0 0 0 1 0 0 0 0 0
## X1097 0 0 0 0 0 0 0 0 0 0 0 0
## X1098 0 1 0 0 0 0 0 0 0 0 0 0
## X1101 0 1 0 0 0 0 0 0 0 0 0 0
## X1103 0 0 0 0 0 0 0 0 0 0 0 0
## X1104 1 0 0 0 0 1 1 0 0 0 0 0
## X1105 0 1 0 0 0 1 0 0 0 0 0 0
## X1106 0 0 0 0 0 0 0 0 1 0 1 0
## X1108 0 0 0 0 0 0 0 0 0 0 0 0
## X1110 0 0 0 0 0 0 1 1 0 0 0 0
## X1112 1 0 0 0 0 1 0 0 0 0 0 0
## X1113 0 0 0 0 0 0 0 0 0 0 0 0
## X1115 0 0 0 0 0 0 1 1 0 0 0 0
## X1116 0 0 0 0 0 0 0 0 0 0 0 1
## X1117 0 0 0 0 0 0 1 0 0 0 0 0
## X1119 0 0 0 0 0 0 0 0 0 0 0 0
## X1120 0 0 1 1 1 0 0 0 0 0 0 0
## X1121 0 1 0 0 0 1 0 0 0 0 0 0
## X1122 0 0 1 0 1 0 0 0 0 0 0 0
## X1124 0 0 0 0 0 0 1 0 0 0 0 0
## X1125 0 0 0 0 0 0 0 0 0 0 0 0
## X1126 0 0 0 0 0 0 0 0 0 1 0 0
## X1127 0 0 0 1 0 0 1 0 0 0 0 0
## X1128 0 0 0 0 0 0 0 0 0 0 0 0
## X1129 0 0 0 0 0 0 0 0 0 0 0 1
## X1130 0 0 0 0 0 0 0 0 0 0 0 0
## X1131 0 0 0 0 0 0 0 0 0 0 0 0
## X1133 1 0 0 0 0 0 1 1 0 0 0 0
## X1135 0 0 0 0 0 0 0 0 1 0 1 0
## X1136 0 0 0 0 0 0 0 0 0 0 0 0
## X1138 0 0 0 0 0 0 0 0 0 0 0 0
## X1139 0 0 1 1 1 0 0 0 0 0 0 0
## X1141 0 0 0 0 0 0 0 0 0 0 0 0
## X1142 0 0 0 0 0 0 0 0 0 0 0 1
## X1143 0 0 0 0 0 0 1 1 0 0 0 0
## X1144 0 0 0 0 0 0 0 0 0 0 0 0
## X1145 0 1 0 0 0 0 0 0 0 0 0 0
## X1146 0 0 0 0 0 0 0 0 1 0 1 0
## X1147 0 0 0 0 0 0 0 0 1 0 0 0
## X1149 0 0 0 0 0 0 0 0 0 1 0 0
## X1150 0 0 0 0 0 0 0 0 1 0 1 0
## X1151 0 0 0 0 0 0 0 0 0 0 0 0
## X1152 0 0 0 0 0 0 0 0 0 0 0 0
## X1153 0 0 0 0 0 0 0 0 0 0 0 0
## X1156 0 0 0 0 0 0 0 0 1 0 1 0
## X1158 0 0 0 0 0 0 0 0 0 0 0 0
## X1159 0 0 0 0 0 0 0 0 0 0 0 0
## X1160 0 0 0 0 0 0 1 0 0 0 0 0
## FP208 MolWeight NumBonds NumMultBonds NumRotBonds NumDblBonds
## X661 0 0.304017769 0.49840233 1.90489650 -0.9347280 -0.831341597
## X662 0 1.474751336 1.69828720 1.32482715 0.7260405 -0.831341597
## X663 0 0.284237960 0.69697444 0.16468846 0.7260405 -0.005212173
## X665 0 -0.579130036 0.20728011 -0.80209379 -0.5195359 0.820917251
## X668 0 0.508214019 0.56629095 -0.02866799 1.1412327 -0.831341597
## X669 0 0.846130172 0.56629095 -0.80209379 1.1412327 0.820917251
## X670 0 1.343679568 0.99793817 2.29160940 -0.5195359 -0.005212173
## X671 0 0.223329553 0.94039386 -0.99545024 3.2171934 -0.005212173
## X672 0 1.536294032 1.99292450 -0.41538089 -0.5195359 2.473176098
## X673 1 0.531725024 0.99793817 0.16468846 -0.1043438 -0.005212173
## X674 0 0.513009822 0.63244961 0.55140136 -0.1043438 1.647046674
## X676 0 0.981923863 1.69828720 -0.80209379 -0.9347280 0.820917251
## X677 0 -0.294344540 0.12893412 0.93811425 -0.9347280 -0.831341597
## X678 0 -0.211043577 -0.40240913 0.93811425 -0.9347280 -0.831341597
## X679 1 -0.403319666 0.28325136 -0.02866799 -0.1043438 -0.831341597
## X682 0 0.513009822 0.63244961 1.13147070 0.3108484 -0.005212173
## X683 0 1.174798750 1.36999732 0.35804491 2.3868091 0.820917251
## X684 0 1.683069116 1.87027471 1.13147070 1.5564248 -0.831341597
## X685 0 0.996447520 1.78555525 -0.99545024 -0.9347280 -0.005212173
## X686 0 -0.294344540 0.12893412 0.93811425 -0.5195359 -0.831341597
## X688 0 0.880198541 0.63244961 1.32482715 -0.1043438 -0.005212173
## X689 0 0.923239370 1.46773946 1.13147070 0.7260405 -0.831341597
## X690 0 1.144391553 1.46773946 0.16468846 2.3868091 -0.005212173
## X691 0 1.836745684 0.88159159 -0.80209379 0.7260405 0.820917251
## X692 1 1.649573481 1.46773946 0.55140136 3.2171934 1.647046674
## X693 0 1.038577746 1.16359252 0.55140136 0.3108484 1.647046674
## X695 0 1.252510849 1.56220886 1.13147070 1.1412327 -0.831341597
## X696 0 0.158871193 0.28325136 1.90489650 -0.9347280 -0.831341597
## X698 0 0.792852769 1.31981693 0.16468846 0.7260405 -0.005212173
## X699 0 -0.094205025 -1.09071695 0.16468846 -0.9347280 -0.831341597
## X700 0 -0.771172819 0.04803954 -0.99545024 1.1412327 -0.831341597
## X702 0 -1.218301524 -0.12219740 -1.18880668 -0.1043438 -0.831341597
## X703 0 -0.982753213 0.04803954 -1.18880668 -0.9347280 -0.831341597
## X704 0 -0.294344540 0.12893412 0.93811425 -0.9347280 -0.831341597
## X706 0 0.636103875 0.82146772 0.55140136 0.3108484 1.647046674
## X708 1 -0.321429192 -0.03559810 1.13147070 -0.5195359 -0.831341597
## X709 0 -0.982753213 0.04803954 -1.18880668 -0.9347280 -0.831341597
## X711 0 1.706734262 2.47286768 -0.99545024 0.7260405 -0.005212173
## X712 0 0.831678296 1.16359252 1.32482715 0.7260405 -0.005212173
## X713 0 0.929168040 0.56629095 1.32482715 0.3108484 -0.005212173
## X714 0 1.675379106 2.11068236 -0.22202444 0.7260405 3.299305521
## X715 0 0.750468797 0.12893412 0.35804491 0.3108484 -0.005212173
## X717 0 0.291891037 -0.40240913 0.93811425 -0.9347280 -0.831341597
## X718 0 1.522316745 1.69828720 1.13147070 0.7260405 -0.831341597
## X721 0 0.508214019 0.56629095 -0.02866799 0.7260405 -0.831341597
## X722 1 1.257699471 1.10948462 1.71154005 -0.1043438 1.647046674
## X723 0 -0.982753213 -0.03559810 -0.99545024 1.1412327 -0.005212173
## X724 1 0.026037466 0.12893412 1.32482715 -0.1043438 -0.005212173
## X726 0 0.989629709 0.12893412 1.13147070 -0.1043438 -0.831341597
## X728 1 0.635848282 0.63244961 1.32482715 0.3108484 -0.005212173
## X729 0 1.163654675 -1.22934392 -0.02866799 -0.9347280 -0.831341597
## X731 0 -1.218301524 -0.12219740 -1.18880668 0.7260405 -0.831341597
## X732 1 0.098097256 -0.03559810 1.13147070 -0.5195359 -0.831341597
## X733 0 0.237099891 0.12893412 -0.02866799 0.7260405 -0.831341597
## X734 0 0.378611406 -1.22934392 -0.02866799 -0.9347280 -0.831341597
## X735 0 1.052782459 1.65364219 -0.60873734 -0.9347280 0.820917251
## X736 0 0.558425111 0.99793817 0.16468846 2.3868091 -0.005212173
## X737 0 0.060245711 -0.21200528 1.32482715 -0.5195359 0.820917251
## X739 0 1.400858350 1.26871571 0.55140136 0.3108484 1.647046674
## X740 0 1.430265786 1.26871571 2.29160940 0.7260405 0.820917251
## X741 0 0.223329553 0.94039386 -0.99545024 3.2171934 -0.005212173
## X742 0 0.072232210 0.75995351 -0.99545024 2.8020012 -0.005212173
## X743 0 0.378611406 -1.22934392 -0.02866799 -0.9347280 -0.831341597
## X744 0 -0.321429192 0.04803954 0.93811425 -0.9347280 -0.831341597
## X746 0 0.907820092 1.21665476 0.35804491 2.3868091 0.820917251
## X747 0 0.072790642 0.99793817 -1.18880668 3.2171934 -0.831341597
## X749 0 1.889098307 2.07194628 1.32482715 2.3868091 -0.005212173
## X752 0 2.027107324 2.54041376 -0.22202444 1.9716169 3.299305521
## X753 0 -0.982753213 0.04803954 -1.18880668 -0.1043438 -0.831341597
## X754 0 1.135094949 1.46773946 1.13147070 -0.1043438 -0.831341597
## X755 0 -0.294344540 0.12893412 0.93811425 -0.9347280 -0.831341597
## X757 0 0.475066868 -0.12219740 -1.18880668 0.7260405 -0.831341597
## X758 0 0.201609653 0.49840233 1.13147070 -0.1043438 -0.831341597
## X759 0 1.039771029 0.82146772 -0.80209379 1.9716169 0.820917251
## X760 1 0.098097256 -0.03559810 1.13147070 -0.5195359 -0.831341597
## X761 0 1.834687162 2.22396656 -0.22202444 0.7260405 3.299305521
## X762 0 -0.165345469 0.12893412 1.13147070 -0.9347280 -0.831341597
## X763 0 0.710001130 0.28325136 1.13147070 -0.5195359 -0.831341597
## X764 0 -0.115366351 0.35700394 0.93811425 -0.9347280 -0.831341597
## X765 0 1.803708352 1.05428349 1.32482715 1.1412327 -0.005212173
## X767 0 1.677549637 1.95260717 -0.02866799 0.3108484 4.125434945
## X768 0 -0.152986644 0.04803954 1.71154005 -0.9347280 -0.831341597
## X770 0 1.190653352 1.21665476 1.13147070 0.7260405 -0.831341597
## X771 0 1.188302449 0.20728011 0.74475780 -0.5195359 2.473176098
## X772 0 1.163654675 -1.22934392 -0.02866799 -0.9347280 -0.831341597
## X773 0 -0.737607576 0.20728011 -0.99545024 1.5564248 -0.005212173
## X774 0 0.147051515 0.12893412 -1.18880668 1.1412327 -0.831341597
## X775 1 0.719516934 0.75995351 1.51818360 1.1412327 0.820917251
## X776 0 2.101817743 2.14892180 1.90489650 2.3868091 2.473176098
## X777 0 1.162199568 1.26871571 -0.99545024 4.0475776 -0.005212173
## X778 0 1.978779123 2.70310385 -0.80209379 1.5564248 0.820917251
## X779 0 0.148236508 0.35700394 1.90489650 -0.9347280 -0.831341597
## X780 0 0.865295430 -1.37754378 -0.80209379 -0.9347280 0.820917251
## X781 0 1.135296034 1.82822307 -0.60873734 3.6323855 1.647046674
## X782 0 0.303418106 0.20728011 1.51818360 -0.9347280 0.820917251
## X784 0 2.675894881 0.88159159 1.32482715 1.1412327 -0.005212173
## X786 0 -0.945628244 0.12893412 -1.18880668 1.1412327 -0.831341597
## X787 1 0.447081835 -0.03559810 1.13147070 -0.5195359 -0.831341597
## X788 0 1.327364381 2.03269881 -0.41538089 -0.5195359 2.473176098
## X789 0 0.447081835 -0.03559810 1.13147070 -0.5195359 -0.831341597
## X791 0 0.447081835 -0.03559810 1.13147070 -0.5195359 -0.831341597
## X792 0 1.398910560 1.36999732 1.13147070 0.7260405 -0.831341597
## X794 0 0.496130384 1.26871571 -0.99545024 4.0475776 -0.005212173
## X798 0 0.735984417 0.82146772 3.06503519 -0.5195359 -0.831341597
## X799 0 1.378795179 0.35700394 -0.60873734 -0.1043438 1.647046674
## X800 0 1.108515489 1.82822307 -1.18880668 -0.9347280 -0.831341597
## X804 0 1.017548306 1.41929339 1.51818360 0.7260405 0.820917251
## X805 0 1.956176482 2.60651481 -0.41538089 1.5564248 2.473176098
## X807 0 1.580162693 1.10948462 -0.80209379 4.0475776 0.820917251
## X808 1 1.380821445 1.46773946 2.48496584 1.1412327 1.647046674
## X809 1 1.147725526 1.31981693 1.51818360 2.8020012 0.820917251
## X810 0 1.317009930 0.04803954 -0.80209379 -0.9347280 0.820917251
## X813 0 0.953373701 1.82822307 -0.99545024 5.7083462 -0.005212173
## X814 0 1.355892859 1.16359252 0.35804491 0.7260405 0.820917251
## X818 0 0.745867382 -0.03559810 1.13147070 -0.5195359 -0.831341597
## X819 0 1.136435150 0.56629095 1.51818360 -0.1043438 0.820917251
## X820 0 0.364681635 1.31981693 -1.18880668 4.0475776 -0.831341597
## X821 1 0.745867382 -0.03559810 1.13147070 -0.5195359 -0.831341597
## X822 0 0.242973688 0.42867850 2.48496584 -0.9347280 -0.831341597
## X823 0 0.627652706 0.82146772 2.87167874 -0.9347280 -0.831341597
## X827 0 1.560421390 0.56629095 -0.99545024 -0.9347280 -0.005212173
## X828 0 0.745867382 -0.03559810 1.13147070 -0.5195359 -0.831341597
## X829 0 1.630165630 1.16359252 0.55140136 1.9716169 1.647046674
## X831 0 1.184902006 0.28325136 1.32482715 -0.1043438 -0.005212173
## X832 1 0.447081835 -0.03559810 1.13147070 -0.5195359 -0.831341597
## X833 0 1.007095938 -0.03559810 1.13147070 -0.5195359 -0.831341597
## X834 0 1.198080407 0.42867850 1.13147070 -0.1043438 -0.831341597
## X835 0 0.447081835 -0.03559810 1.13147070 -0.5195359 -0.831341597
## X836 0 1.007095938 -0.03559810 1.13147070 -0.5195359 -0.831341597
## X839 0 0.382560531 0.63244961 2.09825295 -0.9347280 -0.831341597
## X840 0 0.495036672 0.69697444 2.87167874 -0.9347280 -0.831341597
## X841 0 1.007095938 -0.03559810 1.13147070 -0.5195359 -0.831341597
## X842 0 0.284137074 0.63244961 1.90489650 -0.5195359 -0.831341597
## X843 0 1.184902006 0.28325136 1.32482715 -0.1043438 -0.005212173
## X846 1 0.513371322 0.75995351 2.29160940 -0.1043438 -0.831341597
## X848 0 1.239163633 -0.03559810 1.13147070 -0.5195359 -0.831341597
## X849 0 1.007095938 -0.03559810 1.13147070 -0.5195359 -0.831341597
## X851 0 1.737322938 2.63904482 -0.99545024 -0.9347280 -0.005212173
## X854 0 1.007095938 -0.03559810 1.13147070 -0.5195359 -0.831341597
## X855 0 0.823597252 0.99793817 3.64510454 -0.9347280 -0.831341597
## X856 0 1.447932035 -0.03559810 1.13147070 -0.5195359 -0.831341597
## X857 0 1.239163633 -0.03559810 1.13147070 -0.5195359 -0.831341597
## X858 0 1.447932035 -0.03559810 1.13147070 -0.5195359 -0.831341597
## X859 0 1.447932035 -0.03559810 1.13147070 -0.5195359 -0.831341597
## X860 0 1.007095938 -0.03559810 1.13147070 -0.5195359 -0.831341597
## X862 1 1.239163633 -0.03559810 1.13147070 -0.5195359 -0.831341597
## X863 0 1.637655670 -0.03559810 1.13147070 -0.5195359 -0.831341597
## X864 0 0.831600743 1.16359252 2.87167874 -0.9347280 -0.831341597
## X865 0 0.703248097 0.88159159 3.45174809 -0.9347280 -0.831341597
## X866 0 1.447932035 -0.03559810 1.13147070 -0.5195359 -0.831341597
## X867 0 0.703248097 0.88159159 3.45174809 -0.9347280 -0.831341597
## X869 1 1.552263693 1.46773946 3.25839164 0.7260405 -0.831341597
## X870 0 1.447932035 -0.03559810 1.13147070 -0.5195359 -0.831341597
## X871 0 1.447932035 -0.03559810 1.13147070 -0.5195359 -0.831341597
## X872 0 1.447932035 -0.03559810 1.13147070 -0.5195359 -0.831341597
## X873 0 0.703248097 0.88159159 3.45174809 -0.9347280 -0.831341597
## X875 0 1.811520606 -0.03559810 1.13147070 -0.5195359 -0.831341597
## X876 0 1.811520606 -0.03559810 1.13147070 -0.5195359 -0.831341597
## X877 0 2.120939599 -0.03559810 1.13147070 -0.5195359 -0.831341597
## X1190 1 -0.115977627 0.04803954 1.13147070 -0.1043438 -0.831341597
## X1191 0 -0.603559640 -0.12219740 -1.18880668 0.7260405 -0.831341597
## X1192 0 1.080766715 1.82822307 -0.80209379 -0.9347280 0.820917251
## X1193 0 -0.403319666 0.28325136 -0.02866799 -0.9347280 -0.831341597
## X1194 0 1.675379106 2.11068236 -0.22202444 0.7260405 3.299305521
## X1195 0 0.016880687 -1.22934392 -0.02866799 -0.9347280 -0.831341597
## X1197 1 -0.610215946 0.04803954 -0.02866799 0.3108484 -0.831341597
## X1198 0 0.563194962 -1.22934392 -0.02866799 -0.9347280 -0.831341597
## X1199 0 0.611250316 0.82146772 -0.02866799 1.1412327 -0.831341597
## X1200 0 0.769013180 0.42867850 -0.99545024 2.3868091 -0.005212173
## X1201 0 1.574200229 1.74225056 1.32482715 0.3108484 -0.005212173
## X1202 0 2.035474501 2.33314222 -0.02866799 1.5564248 4.125434945
## X1203 0 -0.982753213 0.04803954 -1.18880668 -0.9347280 -0.831341597
## X1204 0 1.270551909 0.99793817 1.90489650 -0.1043438 2.473176098
## X1205 0 0.936481465 0.49840233 1.32482715 0.3108484 -0.005212173
## X1206 0 0.476723028 -1.70965649 -0.80209379 -0.5195359 0.820917251
## X1207 0 0.952788440 1.21665476 1.13147070 0.3108484 -0.831341597
## X1208 0 1.747037108 2.22396656 -0.41538089 -0.1043438 2.473176098
## X1209 0 0.815641020 -1.09071695 -0.02866799 -0.9347280 -0.831341597
## X1210 0 1.623602913 2.43853015 -0.99545024 0.7260405 -0.005212173
## X1212 0 1.038647958 1.56220886 0.16468846 -0.9347280 -0.831341597
## X1213 0 0.952788440 1.21665476 1.13147070 0.7260405 -0.831341597
## X1215 0 1.834687162 2.26079827 -0.41538089 -0.1043438 2.473176098
## X1216 0 0.049093577 -0.03559810 1.71154005 -0.9347280 -0.831341597
## X1217 0 1.269483899 0.88159159 2.29160940 0.3108484 -0.831341597
## X1219 0 0.847285078 1.26871571 1.13147070 1.1412327 -0.831341597
## X1220 0 1.532919242 1.65364219 1.32482715 1.5564248 -0.005212173
## X1221 0 -0.009904078 -0.12219740 -1.18880668 0.7260405 -0.831341597
## X1222 0 0.900780208 1.41929339 1.32482715 0.3108484 -0.005212173
## X1226 0 1.701175131 1.82822307 1.13147070 0.7260405 -0.831341597
## X1228 0 0.907670555 0.56629095 0.16468846 1.1412327 -0.005212173
## X1229 0 1.882368345 2.43853015 -0.22202444 1.1412327 3.299305521
## X1230 1 0.448387506 0.35700394 1.51818360 -0.5195359 0.820917251
## X1231 1 0.026494249 0.42867850 1.13147070 0.3108484 -0.831341597
## X1233 0 1.175127549 1.95260717 -0.80209379 -0.5195359 0.820917251
## X1234 0 -0.294344540 0.12893412 0.93811425 -0.9347280 -0.831341597
## X1236 0 1.327058775 1.87027471 -0.41538089 -0.1043438 1.647046674
## X1237 0 1.214275611 -0.03559810 0.16468846 0.7260405 -0.005212173
## X1239 0 1.095780590 0.56629095 -0.80209379 1.1412327 0.820917251
## X1242 0 0.771569118 -1.70965649 -0.80209379 -0.5195359 0.820917251
## X1244 1 0.098097256 -0.03559810 1.13147070 -0.5195359 -0.831341597
## X1245 1 -0.215143211 0.49840233 -0.02866799 1.1412327 -0.831341597
## X1246 0 0.815953602 1.16359252 1.13147070 -0.9347280 -0.005212173
## X1247 1 1.387244764 1.78555525 1.51818360 1.9716169 0.820917251
## X1249 0 1.459034034 1.05428349 0.55140136 1.5564248 1.647046674
## X1250 0 1.413034907 0.12893412 -0.80209379 -0.9347280 0.820917251
## X1251 0 0.812356063 -0.96037479 0.35804491 -0.9347280 -0.831341597
## X1253 0 1.341677499 0.75995351 0.16468846 2.3868091 -0.005212173
## X1254 0 0.447081835 -0.03559810 1.13147070 -0.5195359 -0.831341597
## X1255 0 0.137547205 0.42867850 1.90489650 -0.9347280 -0.831341597
## X1256 0 0.304417449 0.82146772 0.93811425 -0.9347280 -0.831341597
## X1257 0 0.745867382 -0.03559810 1.13147070 -0.5195359 -0.831341597
## X1259 0 1.560421390 0.56629095 -0.99545024 -0.9347280 -0.005212173
## X1260 0 0.745867382 -0.03559810 1.13147070 -0.5195359 -0.831341597
## X1262 1 1.616540792 1.51536781 1.51818360 1.9716169 0.820917251
## X1264 0 1.518473204 0.04803954 -0.80209379 -0.9347280 0.820917251
## X1265 0 1.007095938 -0.03559810 1.13147070 -0.5195359 -0.831341597
## X1266 0 1.410804929 0.42867850 1.13147070 -0.1043438 -0.831341597
## X1267 0 1.745837809 1.69828720 2.48496584 1.5564248 -0.005212173
## X1268 0 0.737283220 1.56220886 -0.99545024 4.8779619 -0.005212173
## X1273 1 1.007095938 -0.03559810 1.13147070 -0.5195359 -0.831341597
## X1274 0 0.620626671 1.60829128 -1.18880668 4.8779619 -0.831341597
## X1275 0 1.471104074 0.42867850 -0.80209379 -0.9347280 0.820917251
## X1276 0 0.703248097 0.88159159 3.45174809 -0.9347280 -0.831341597
## X1277 0 1.239163633 -0.03559810 1.13147070 -0.5195359 -0.831341597
## X1278 0 0.382560531 0.63244961 2.09825295 -0.9347280 -0.831341597
## X1279 0 0.495036672 0.69697444 2.87167874 -0.9347280 -0.831341597
## X1281 0 1.447932035 -0.03559810 1.13147070 -0.5195359 -0.831341597
## X1282 0 1.447932035 -0.03559810 1.13147070 -0.5195359 -0.831341597
## X1283 0 0.703248097 0.88159159 3.45174809 -0.9347280 -0.831341597
## X1284 0 0.495036672 0.69697444 2.87167874 -0.9347280 -0.831341597
## X1285 0 1.447932035 -0.03559810 1.13147070 -0.5195359 -0.831341597
## X1288 0 1.971974745 -0.03559810 1.13147070 -0.5195359 -0.831341597
## X1299 1 0.703000619 0.69697444 1.51818360 -0.1043438 0.820917251
## X1301 0 0.981923863 1.69828720 -0.80209379 -0.9347280 0.820917251
## X1302 0 0.998810596 -0.50369472 -1.18880668 -0.9347280 -0.831341597
## X1307 0 1.387897880 0.42867850 0.16468846 1.5564248 -0.005212173
## X1309 0 1.410804929 0.42867850 1.13147070 -0.1043438 -0.831341597
## X1310 0 1.712430972 0.20728011 -0.99545024 -0.9347280 -0.005212173
## X447 0 0.427774521 -0.40240913 0.16468846 0.3108484 -0.005212173
## X448 0 1.975155875 1.87027471 0.93811425 -0.1043438 3.299305521
## X451 0 -1.960986946 -0.96037479 -0.99545024 -0.5195359 -0.005212173
## X452 0 -0.455773295 -0.83728034 -0.02866799 -0.9347280 -0.831341597
## X453 0 -0.447297107 -0.40240913 0.93811425 -0.9347280 -0.831341597
## X454 0 1.024063318 0.82146772 1.51818360 0.7260405 0.820917251
## X455 0 0.366815837 0.12893412 0.16468846 0.3108484 -0.005212173
## X456 1 0.392161232 0.63244961 0.35804491 -0.1043438 0.820917251
## X458 0 0.922422855 0.63244961 1.51818360 0.7260405 0.820917251
## X459 0 -0.489295914 0.28325136 -0.99545024 1.5564248 -0.005212173
## X460 0 -1.632068261 -0.72058540 -0.99545024 -0.9347280 -0.005212173
## X461 0 -0.289953121 -0.83728034 0.16468846 -0.5195359 -0.005212173
## X462 0 -0.983309595 -0.83728034 -0.22202444 -0.5195359 -0.831341597
## X463 1 0.808360205 1.16359252 1.32482715 1.1412327 -0.005212173
## X464 0 0.243179485 -2.10721958 -1.18880668 -0.9347280 -0.831341597
## X465 0 0.736065616 0.94039386 1.13147070 0.7260405 -0.831341597
## X466 0 0.630729830 -0.12219740 0.35804491 -0.1043438 0.820917251
## X468 0 -0.254497849 0.28325136 -0.99545024 1.9716169 -0.005212173
## X471 0 -0.390166117 -0.12219740 0.16468846 -0.1043438 -0.005212173
## X472 0 -1.089862985 -0.72058540 -1.18880668 -0.1043438 -0.831341597
## X473 0 -1.960986946 -0.83728034 -1.18880668 -0.9347280 -0.831341597
## X476 0 0.071003132 0.12893412 1.13147070 -0.1043438 -0.005212173
## X477 0 0.601744921 0.42867850 0.55140136 -0.5195359 1.647046674
## X478 0 -1.632068261 -0.83728034 -0.80209379 0.3108484 0.820917251
## X479 0 -1.960986946 -0.96037479 -0.99545024 -0.1043438 -0.005212173
## X480 0 0.002838576 0.04803954 1.90489650 -0.9347280 -0.831341597
## X482 0 -0.507220812 -0.72058540 -1.18880668 -0.5195359 -0.831341597
## X483 0 -0.725281754 -1.09071695 -1.18880668 -0.5195359 -0.831341597
## X484 0 0.048980624 0.28325136 1.13147070 -0.5195359 -0.831341597
## X486 0 -0.267476312 0.35700394 -0.99545024 1.9716169 -0.005212173
## X487 0 0.808360205 1.21665476 0.16468846 2.8020012 -0.005212173
## X488 0 0.158871193 0.35700394 0.16468846 1.1412327 -0.005212173
## X489 0 0.667472628 -0.83728034 0.16468846 -0.5195359 -0.005212173
## X490 0 0.948173754 1.16359252 0.16468846 1.1412327 -0.005212173
## X491 0 -1.089862985 -0.72058540 -1.18880668 -0.1043438 -0.831341597
## X492 0 0.566721151 0.75995351 -0.41538089 -0.5195359 2.473176098
## X493 0 -0.267476312 0.35700394 -0.99545024 1.9716169 -0.005212173
## X494 0 0.611681349 -0.72058540 0.16468846 -0.5195359 -0.005212173
## X495 0 1.226628531 1.65364219 1.13147070 0.7260405 -0.005212173
## X496 0 -0.190792410 -0.72058540 0.35804491 -0.9347280 0.820917251
## X497 0 -0.008626296 0.12893412 1.90489650 -0.9347280 -0.831341597
## X498 0 -0.289288562 -0.40240913 -0.02866799 -0.9347280 -0.831341597
## X499 0 -1.098274791 -0.50369472 -0.02866799 -0.9347280 -0.831341597
## X501 0 0.774201646 -0.03559810 0.35804491 -0.5195359 0.820917251
## X502 0 -1.098274791 -0.50369472 -0.02866799 -0.9347280 -0.831341597
## X503 0 1.239546173 1.82822307 -0.02866799 -0.5195359 -0.831341597
## X505 0 -0.123326972 -0.40240913 0.16468846 -0.5195359 -0.005212173
## X506 0 0.800109202 0.56629095 1.51818360 0.3108484 0.820917251
## X507 0 0.995515874 1.10948462 1.13147070 1.1412327 -0.831341597
## X508 0 1.827201901 0.04803954 0.16468846 0.3108484 -0.005212173
## X509 0 1.881712881 1.99292450 0.93811425 -0.1043438 3.299305521
## X510 1 0.433604324 0.04803954 0.55140136 -0.5195359 1.647046674
## X513 0 -0.364519110 -0.72058540 -1.18880668 -0.5195359 -0.831341597
## X514 0 0.823597252 0.63244961 1.32482715 0.3108484 0.820917251
## X515 0 -0.242509175 -0.21200528 0.93811425 -0.9347280 -0.831341597
## X516 0 -0.404021657 -0.03559810 0.16468846 0.3108484 -0.005212173
## X518 0 0.915283282 1.16359252 0.35804491 0.7260405 0.820917251
## X521 0 1.134223355 0.88159159 1.51818360 1.1412327 0.820917251
## X523 1 -0.043759055 0.12893412 0.35804491 0.7260405 0.820917251
## X524 0 0.399810034 -0.12219740 0.16468846 -0.1043438 -0.005212173
## X525 0 0.686767950 0.94039386 -0.41538089 -0.1043438 2.473176098
## X526 0 -0.459952245 0.42867850 -1.18880668 1.9716169 -0.831341597
## X530 1 -0.389468783 0.20728011 -0.02866799 0.3108484 -0.831341597
## X531 0 0.430503397 0.82146772 0.16468846 0.7260405 -0.005212173
## X532 0 0.486632405 0.63244961 -0.02866799 1.1412327 -0.831341597
## X533 0 1.033797758 0.04803954 0.93811425 -0.5195359 3.299305521
## X534 1 0.736309194 0.69697444 0.55140136 1.1412327 1.647046674
## X535 0 -0.421224013 -1.22934392 -0.02866799 -0.9347280 -0.831341597
## X536 0 1.024487502 1.46773946 1.13147070 0.3108484 -0.005212173
## X538 0 1.079045894 0.75995351 1.51818360 -0.5195359 0.820917251
## X539 0 1.024487502 1.46773946 1.13147070 0.3108484 -0.005212173
## X542 0 1.445796891 1.91172984 -0.41538089 -0.1043438 2.473176098
## X543 0 -0.832540404 -0.40240913 -1.18880668 0.3108484 -0.831341597
## X544 0 1.881712881 1.99292450 0.93811425 -0.1043438 3.299305521
## X545 0 0.061817968 1.05428349 -1.18880668 2.8020012 -0.831341597
## X546 0 -0.107436062 -2.10721958 -1.18880668 -0.9347280 -0.831341597
## X548 0 -0.404021657 -0.03559810 0.16468846 -0.1043438 -0.005212173
## X549 0 0.436794393 -1.22934392 -0.02866799 -0.9347280 -0.831341597
## X551 0 1.271995992 -2.92387959 -1.18880668 -0.9347280 -0.831341597
## X552 0 1.731140385 1.91172984 1.32482715 0.7260405 -0.005212173
## X553 1 0.558159799 0.49840233 0.35804491 -0.1043438 0.820917251
## X554 0 0.605379378 0.42867850 0.16468846 0.7260405 -0.831341597
## X556 1 0.362642398 0.28325136 1.32482715 0.3108484 -0.005212173
## X557 0 1.062383808 1.21665476 0.16468846 1.9716169 -0.005212173
## X558 0 -0.152364404 -0.72058540 0.74475780 -0.9347280 -0.831341597
## X559 0 -1.901900752 -0.72058540 -1.18880668 -0.1043438 -0.831341597
## X560 0 -0.839972199 -0.21200528 -0.02866799 -0.9347280 -0.831341597
## X561 0 0.128651681 -1.22934392 -0.02866799 -0.9347280 -0.831341597
## X562 0 -0.839972199 -0.21200528 -0.02866799 -0.5195359 -0.831341597
## X563 1 0.343414497 0.42867850 1.32482715 0.3108484 -0.005212173
## X565 0 -1.581515202 -0.60958681 -0.99545024 0.3108484 -0.005212173
## X566 0 -0.218737027 -0.96037479 -0.02866799 -0.9347280 -0.831341597
## X567 0 1.133955099 0.69697444 0.55140136 0.3108484 1.647046674
## X568 0 0.774201646 -0.40240913 0.16468846 -0.5195359 -0.005212173
## X569 0 0.842661605 0.99793817 0.16468846 1.1412327 -0.005212173
## X571 0 0.418526237 -0.30530231 0.16468846 -0.1043438 -0.005212173
## X572 0 0.687183627 1.10948462 0.16468846 2.8020012 -0.005212173
## X574 0 -1.303931995 -0.40240913 -0.99545024 -0.9347280 -0.005212173
## X576 0 0.922422855 0.63244961 1.51818360 0.7260405 0.820917251
## X577 0 0.232450944 0.28325136 1.13147070 -0.1043438 -0.005212173
## X579 1 0.232450944 0.28325136 1.13147070 -0.1043438 -0.005212173
## X580 0 1.609081003 -0.72058540 0.16468846 -0.5195359 -0.005212173
## X582 0 -0.293545411 0.49840233 -0.99545024 1.9716169 -0.005212173
## X583 0 -0.839972199 -0.21200528 -0.02866799 -0.9347280 -0.831341597
## X584 0 1.289745203 1.74225056 0.35804491 -0.9347280 0.820917251
## X586 0 1.058701570 0.75995351 0.55140136 1.1412327 1.647046674
## X587 0 -0.008626296 0.12893412 1.90489650 -0.9347280 -0.831341597
## X588 0 0.619596479 0.75995351 -0.60873734 0.7260405 1.647046674
## X589 0 1.706734262 2.47286768 -0.99545024 0.7260405 -0.005212173
## X591 0 1.226628531 1.65364219 1.13147070 0.7260405 -0.005212173
## X592 1 -0.839972199 -0.21200528 -0.02866799 -0.1043438 -0.831341597
## X593 0 1.072631922 0.94039386 2.09825295 0.7260405 -0.831341597
## X594 0 -0.267476312 0.35700394 -0.99545024 1.9716169 -0.005212173
## X595 0 0.453788004 0.12893412 -0.80209379 1.1412327 0.820917251
## X596 0 0.847208104 0.88159159 0.55140136 1.1412327 1.647046674
## X597 0 0.915506765 1.31981693 1.32482715 0.3108484 -0.005212173
## X598 0 0.049545329 0.63244961 -0.80209379 2.8020012 0.820917251
## X599 0 -0.839972199 -0.21200528 -0.02866799 -0.9347280 -0.831341597
## X600 0 0.966789467 0.99793817 0.35804491 0.7260405 0.820917251
## X603 0 -0.090698960 0.56629095 -0.99545024 2.3868091 -0.005212173
## X604 0 0.720253413 0.82146772 -0.41538089 1.1412327 2.473176098
## X605 0 1.066475255 1.56220886 -0.41538089 -0.9347280 2.473176098
## X606 1 -0.020037904 0.28325136 0.16468846 1.1412327 -0.005212173
## X608 0 0.563194962 -1.22934392 -0.02866799 -0.9347280 -0.831341597
## X609 0 0.686601657 0.35700394 1.51818360 0.3108484 0.820917251
## X611 0 -1.260676413 -0.21200528 -1.18880668 -0.9347280 -0.831341597
## X612 0 0.676599640 0.12893412 0.16468846 -0.1043438 -0.005212173
## X613 0 -0.105975307 -0.83728034 -0.02866799 -0.9347280 -0.831341597
## X614 0 -0.732339628 -0.83728034 -0.02866799 -0.9347280 -0.831341597
## X616 0 -1.532160955 -0.40240913 -1.18880668 -0.5195359 -0.831341597
## X617 0 0.854891424 1.21665476 1.13147070 1.1412327 -0.005212173
## X619 1 1.771027243 1.26871571 1.90489650 0.3108484 2.473176098
## X620 0 0.016880687 -1.22934392 -0.02866799 -0.9347280 -0.831341597
## X621 1 0.353099452 0.35700394 1.32482715 -0.1043438 -0.005212173
## X622 0 -0.706360421 -0.40240913 0.93811425 -0.9347280 -0.831341597
## X623 0 1.205416250 0.69697444 1.51818360 -0.5195359 0.820917251
## X625 0 1.019887558 0.94039386 1.13147070 1.1412327 -0.005212173
## X628 0 1.622913686 2.03269881 -0.41538089 -0.1043438 2.473176098
## X629 0 1.623602913 2.43853015 -0.99545024 0.7260405 -0.005212173
## X630 0 0.816422389 1.31981693 1.13147070 0.7260405 -0.831341597
## X631 0 -1.020552429 -0.21200528 -0.99545024 0.7260405 -0.831341597
## X632 0 0.570417230 -2.10721958 -1.18880668 -0.9347280 -0.831341597
## X633 0 0.676516088 0.12893412 0.16468846 1.1412327 -0.005212173
## X635 0 1.141453232 1.26871571 0.55140136 0.3108484 1.647046674
## X636 0 1.633333725 1.95260717 -0.41538089 -0.1043438 2.473176098
## X637 0 0.967298146 1.60829128 -0.60873734 -0.9347280 1.647046674
## X638 1 0.719516934 0.75995351 1.51818360 0.7260405 0.820917251
## X639 0 0.686601657 0.35700394 1.51818360 0.3108484 0.820917251
## X641 1 1.226307769 1.41929339 1.51818360 1.1412327 0.820917251
## X648 0 1.412917599 1.05428349 1.71154005 0.3108484 1.647046674
## X650 0 0.752403196 0.28325136 1.13147070 0.3108484 0.820917251
## X651 1 1.121037974 1.36999732 1.51818360 1.1412327 0.820917251
## X653 0 1.623602913 2.43853015 -0.99545024 0.7260405 -0.005212173
## X654 0 1.017548306 1.51536781 0.16468846 3.6323855 -0.005212173
## X655 1 -0.610215946 0.04803954 -0.02866799 -0.1043438 -0.831341597
## X656 0 -0.211043577 -0.40240913 0.93811425 -0.9347280 -0.831341597
## X657 0 0.430503397 0.82146772 0.16468846 1.9716169 -0.005212173
## X1082 0 -1.089862985 -0.72058540 -1.18880668 -0.5195359 -0.831341597
## X1083 1 0.201609653 0.49840233 1.13147070 0.3108484 -0.831341597
## X1084 0 -0.293545411 0.56629095 -1.18880668 -0.5195359 -0.831341597
## X1086 1 -0.284112271 -1.22934392 -0.02866799 -0.9347280 -0.831341597
## X1088 0 0.366912794 0.12893412 0.16468846 -0.1043438 -0.005212173
## X1089 0 0.094121874 0.56629095 0.74475780 0.3108484 -0.831341597
## X1090 0 0.014240641 0.04803954 0.16468846 0.3108484 -0.005212173
## X1091 0 0.159406860 0.63244961 -0.02866799 1.1412327 -0.831341597
## X1092 0 -0.489295914 0.28325136 -0.99545024 1.5564248 -0.005212173
## X1093 0 0.188446950 -0.60958681 -0.80209379 -0.9347280 0.820917251
## X1094 0 -0.580658068 -0.50369472 0.16468846 -0.5195359 -0.005212173
## X1095 0 -0.419242736 -0.60958681 0.35804491 -0.9347280 0.820917251
## X1097 0 -1.089862985 -0.72058540 -1.18880668 -0.1043438 -0.831341597
## X1098 0 0.784301940 1.05428349 -0.41538089 -0.1043438 2.473176098
## X1101 0 1.559218908 0.42867850 0.74475780 -0.5195359 2.473176098
## X1103 0 1.065435819 0.94039386 0.74475780 -0.9347280 2.473176098
## X1104 0 0.678353466 0.42867850 1.51818360 0.3108484 0.820917251
## X1105 0 -0.190792410 -0.72058540 0.35804491 -0.9347280 0.820917251
## X1106 0 -0.688575293 0.28325136 -1.18880668 1.5564248 -0.831341597
## X1108 0 -1.098274791 -0.50369472 -0.02866799 -0.9347280 -0.831341597
## X1110 1 0.260904394 -1.22934392 -0.02866799 -0.9347280 -0.831341597
## X1112 0 0.800109202 0.56629095 1.51818360 0.3108484 0.820917251
## X1113 0 0.495127837 0.75995351 1.13147070 -0.1043438 -0.831341597
## X1115 1 0.343414497 0.42867850 1.32482715 0.3108484 -0.005212173
## X1116 0 0.184958063 0.20728011 0.16468846 -0.1043438 -0.005212173
## X1117 0 -0.362866384 -0.30530231 0.16468846 -0.1043438 -0.005212173
## X1119 0 0.729152370 -0.40240913 0.16468846 0.3108484 -0.005212173
## X1120 0 1.457427050 1.99292450 -0.60873734 -0.1043438 1.647046674
## X1121 0 1.086675495 1.16359252 0.55140136 0.3108484 1.647046674
## X1122 0 1.525264217 2.03269881 -0.41538089 -0.1043438 2.473176098
## X1124 0 -0.092028152 -0.12219740 0.55140136 -0.9347280 1.647046674
## X1125 0 0.083816857 -2.10721958 -1.18880668 -0.9347280 -0.831341597
## X1126 0 -0.421224013 -1.22934392 -0.02866799 -0.9347280 -0.831341597
## X1127 0 -0.875243942 -0.30530231 -0.02866799 -0.9347280 -0.831341597
## X1128 0 0.361087352 -0.40240913 0.16468846 -0.5195359 -0.005212173
## X1129 0 -0.732339628 -0.83728034 -0.02866799 -0.9347280 -0.831341597
## X1130 0 0.594543822 -0.50369472 0.16468846 -0.1043438 -0.005212173
## X1131 0 -1.581515202 -0.50369472 -1.18880668 -0.9347280 -0.831341597
## X1133 1 0.813999190 0.04803954 0.55140136 -0.5195359 1.647046674
## X1135 0 -0.489295914 0.28325136 -0.99545024 1.9716169 -0.005212173
## X1136 0 -0.105975307 -0.83728034 -0.02866799 -0.9347280 -0.831341597
## X1138 0 2.722777775 3.22789945 0.16468846 0.3108484 4.951564368
## X1139 0 1.445796891 1.91172984 -0.41538089 -0.1043438 2.473176098
## X1141 0 -1.581515202 -0.60958681 -0.99545024 -0.1043438 -0.005212173
## X1142 0 -0.421224013 -1.22934392 -0.02866799 -0.9347280 -0.831341597
## X1143 1 1.213307444 1.31981693 1.71154005 1.1412327 1.647046674
## X1144 0 0.959436086 1.31981693 0.16468846 -0.9347280 -0.005212173
## X1145 0 0.991282387 0.56629095 0.55140136 -0.1043438 1.647046674
## X1146 0 -0.078774283 0.49840233 -0.99545024 2.3868091 -0.005212173
## X1147 0 0.254569455 0.69697444 -0.99545024 1.9716169 -0.005212173
## X1149 0 0.357292051 0.20728011 0.16468846 0.3108484 -0.005212173
## X1150 0 -0.090698960 0.56629095 -0.99545024 2.3868091 -0.005212173
## X1151 0 0.373978500 0.82146772 -0.99545024 0.7260405 -0.005212173
## X1152 0 0.959436086 1.21665476 0.55140136 0.3108484 1.647046674
## X1153 0 2.401813942 -1.53694587 -0.22202444 -0.9347280 -0.831341597
## X1156 0 0.072232210 0.75995351 -0.99545024 2.8020012 -0.005212173
## X1158 0 0.980480348 0.82146772 1.32482715 -0.5195359 -0.005212173
## X1159 0 0.381694291 0.20728011 1.13147070 -0.5195359 0.820917251
## X1160 0 1.705409579 1.56220886 2.09825295 1.1412327 3.299305521
## NumCarbon NumNitrogen NumOxygen NumSulfer NumChlorine NumHalogen
## X661 0.85821946 1.0008314 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X662 1.80408084 1.8438701 -0.3320280 1.7123815 -0.3972472 -0.4741055
## X663 0.70131917 -0.6852460 0.2462845 -0.3360145 -0.3972472 -0.4741055
## X665 0.18177643 -0.6852460 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X668 -0.01199386 3.5299475 -0.9103405 -0.3360145 0.3168966 0.2049221
## X669 0.18177643 0.1577927 -0.3320280 1.7123815 1.0310404 0.8839497
## X670 1.29203392 2.6869088 -0.9103405 -0.3360145 1.0310404 0.8839497
## X671 0.53699786 -0.6852460 0.2462845 -0.3360145 -0.3972472 -0.4741055
## X672 1.92274051 -0.6852460 1.4029096 -0.3360145 -0.3972472 0.2049221
## X673 0.85821946 1.0008314 -0.3320280 -0.3360145 -0.3972472 -0.4741055
## X674 0.85821946 -0.6852460 0.8245970 -0.3360145 -0.3972472 -0.4741055
## X676 1.55615914 -0.6852460 0.2462845 -0.3360145 -0.3972472 -0.4741055
## X677 0.53699786 -0.6852460 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X678 0.18177643 -0.6852460 -0.9103405 -0.3360145 0.3168966 0.2049221
## X679 0.36423857 -0.6852460 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X682 0.85821946 -0.6852460 0.8245970 -0.3360145 -0.3972472 -0.4741055
## X683 0.70131917 2.6869088 0.8245970 1.7123815 -0.3972472 -0.4741055
## X684 1.80408084 1.8438701 -0.3320280 1.7123815 0.3168966 0.2049221
## X685 1.55615914 -0.6852460 0.2462845 -0.3360145 -0.3972472 -0.4741055
## X686 0.53699786 -0.6852460 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X688 1.00853037 -0.6852460 0.8245970 -0.3360145 0.3168966 0.2049221
## X689 1.55615914 1.0008314 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X690 1.29203392 0.1577927 0.2462845 -0.3360145 0.3168966 0.2049221
## X691 0.18177643 2.6869088 0.2462845 -0.3360145 3.8876154 3.6000599
## X692 0.85821946 0.1577927 1.4029096 5.8091734 -0.3972472 -0.4741055
## X693 0.85821946 1.0008314 0.8245970 1.7123815 -0.3972472 -0.4741055
## X695 1.55615914 1.0008314 -0.3320280 1.7123815 -0.3972472 -0.4741055
## X696 0.70131917 1.0008314 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X698 1.15294194 0.1577927 0.2462845 -0.3360145 -0.3972472 -0.4741055
## X699 -0.44251753 0.1577927 -0.9103405 -0.3360145 1.0310404 0.8839497
## X700 -0.01199386 -0.6852460 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X702 -0.44251753 -0.6852460 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X703 -0.21915966 -0.6852460 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X704 0.53699786 -0.6852460 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X706 1.00853037 -0.6852460 0.8245970 -0.3360145 -0.3972472 -0.4741055
## X708 0.53699786 -0.6852460 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X709 -0.21915966 -0.6852460 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X711 2.15069776 -0.6852460 1.9812221 -0.3360145 -0.3972472 -0.4741055
## X712 1.42629884 -0.6852460 0.2462845 -0.3360145 -0.3972472 -0.4741055
## X713 0.85821946 0.1577927 0.2462845 -0.3360145 -0.3972472 1.5629772
## X714 2.03820634 -0.6852460 2.5595346 -0.3360145 -0.3972472 -0.4741055
## X715 0.36423857 0.1577927 0.2462845 -0.3360145 1.0310404 0.8839497
## X717 0.18177643 -0.6852460 -0.9103405 -0.3360145 -0.3972472 0.2049221
## X718 1.68198027 1.8438701 -0.9103405 1.7123815 0.3168966 0.2049221
## X721 -0.01199386 3.5299475 -0.9103405 -0.3360145 0.3168966 0.2049221
## X722 1.55615914 0.1577927 -0.3320280 -0.3360145 -0.3972472 1.5629772
## X723 -0.21915966 -0.6852460 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X724 0.53699786 1.0008314 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X726 0.53699786 -0.6852460 0.2462845 -0.3360145 1.7451841 1.5629772
## X728 1.00853037 -0.6852460 0.2462845 -0.3360145 -0.3972472 0.2049221
## X729 -0.68595798 -0.6852460 -0.9103405 -0.3360145 -0.3972472 1.5629772
## X731 -0.44251753 -0.6852460 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X732 0.53699786 -0.6852460 -0.9103405 -0.3360145 0.3168966 0.2049221
## X733 -0.44251753 3.5299475 -0.9103405 -0.3360145 0.3168966 0.2049221
## X734 -0.68595798 -0.6852460 -0.9103405 -0.3360145 2.4593279 2.2420048
## X735 1.68198027 -0.6852460 0.2462845 -0.3360145 -0.3972472 -0.4741055
## X736 0.85821946 0.1577927 0.2462845 -0.3360145 -0.3972472 -0.4741055
## X737 0.36423857 0.1577927 -0.9103405 1.7123815 -0.3972472 -0.4741055
## X739 1.29203392 -0.6852460 2.5595346 -0.3360145 0.3168966 0.2049221
## X740 1.55615914 0.1577927 1.4029096 -0.3360145 0.3168966 0.2049221
## X741 0.53699786 -0.6852460 0.2462845 -0.3360145 -0.3972472 -0.4741055
## X742 0.36423857 -0.6852460 0.2462845 -0.3360145 -0.3972472 -0.4741055
## X743 -0.68595798 -0.6852460 -0.9103405 -0.3360145 2.4593279 2.2420048
## X744 0.53699786 -0.6852460 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X746 1.15294194 -0.6852460 1.4029096 -0.3360145 -0.3972472 -0.4741055
## X747 0.53699786 -0.6852460 -0.3320280 -0.3360145 -0.3972472 -0.4741055
## X749 2.03820634 1.8438701 0.2462845 1.7123815 0.3168966 0.2049221
## X752 2.47218708 -0.6852460 2.5595346 -0.3360145 -0.3972472 0.2049221
## X753 -0.21915966 -0.6852460 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X754 1.55615914 1.0008314 -0.9103405 1.7123815 -0.3972472 -0.4741055
## X755 0.53699786 -0.6852460 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X757 -0.44251753 -0.6852460 -0.9103405 -0.3360145 -0.3972472 0.2049221
## X758 0.85821946 -0.6852460 -0.3320280 -0.3360145 -0.3972472 -0.4741055
## X759 0.18177643 1.0008314 -0.9103405 7.8575693 -0.3972472 -0.4741055
## X760 0.53699786 -0.6852460 -0.9103405 -0.3360145 0.3168966 0.2049221
## X761 2.15069776 -0.6852460 2.5595346 -0.3360145 -0.3972472 0.2049221
## X762 0.70131917 -0.6852460 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X763 0.53699786 1.0008314 -0.9103405 -0.3360145 1.0310404 0.8839497
## X764 0.70131917 -0.6852460 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X765 1.29203392 -0.6852460 0.8245970 -0.3360145 -0.3972472 0.8839497
## X767 2.03820634 -0.6852460 1.4029096 -0.3360145 0.3168966 0.2049221
## X768 0.53699786 0.1577927 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X770 1.29203392 1.0008314 -0.9103405 1.7123815 0.3168966 0.2049221
## X771 0.53699786 0.1577927 0.8245970 -0.3360145 1.7451841 1.5629772
## X772 -0.68595798 -0.6852460 -0.9103405 -0.3360145 -0.3972472 1.5629772
## X773 -0.01199386 -0.6852460 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X774 -0.21915966 -0.6852460 -0.9103405 -0.3360145 -0.3972472 0.2049221
## X775 1.15294194 -0.6852460 0.8245970 -0.3360145 -0.3972472 -0.4741055
## X776 2.03820634 1.8438701 1.9812221 1.7123815 0.3168966 0.2049221
## X777 0.53699786 -0.6852460 -0.3320280 5.8091734 -0.3972472 -0.4741055
## X778 2.36752103 0.1577927 2.5595346 -0.3360145 -0.3972472 -0.4741055
## X779 0.85821946 0.1577927 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X780 -0.95516548 -0.6852460 -0.9103405 -0.3360145 3.8876154 3.6000599
## X781 1.55615914 -0.6852460 0.8245970 -0.3360145 -0.3972472 -0.4741055
## X782 0.85821946 -0.6852460 0.2462845 -0.3360145 -0.3972472 -0.4741055
## X784 1.00853037 0.1577927 1.4029096 -0.3360145 -0.3972472 1.5629772
## X786 -0.21915966 -0.6852460 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X787 0.53699786 -0.6852460 -0.9103405 -0.3360145 1.0310404 0.8839497
## X788 2.03820634 -0.6852460 0.2462845 -0.3360145 -0.3972472 -0.4741055
## X789 0.53699786 -0.6852460 -0.9103405 -0.3360145 1.0310404 0.8839497
## X791 0.53699786 -0.6852460 -0.9103405 -0.3360145 1.0310404 0.8839497
## X792 1.42629884 1.0008314 -0.9103405 1.7123815 -0.3972472 1.5629772
## X794 0.85821946 -0.6852460 0.2462845 -0.3360145 -0.3972472 -0.4741055
## X798 1.42629884 1.0008314 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X799 0.18177643 0.1577927 0.2462845 1.7123815 2.4593279 2.2420048
## X800 1.55615914 -0.6852460 -0.3320280 1.7123815 -0.3972472 -0.4741055
## X804 1.55615914 1.8438701 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X805 2.47218708 -0.6852460 2.5595346 -0.3360145 -0.3972472 -0.4741055
## X807 -0.01199386 -0.6852460 1.4029096 7.8575693 -0.3972472 -0.4741055
## X808 1.80408084 0.1577927 1.4029096 -0.3360145 -0.3972472 -0.4741055
## X809 1.55615914 -0.6852460 1.4029096 -0.3360145 -0.3972472 -0.4741055
## X810 0.18177643 -0.6852460 -0.9103405 -0.3360145 3.8876154 3.6000599
## X813 1.42629884 -0.6852460 0.2462845 -0.3360145 -0.3972472 -0.4741055
## X814 1.00853037 1.0008314 0.8245970 -0.3360145 1.0310404 0.8839497
## X818 0.53699786 -0.6852460 -0.9103405 -0.3360145 1.7451841 1.5629772
## X819 0.85821946 1.0008314 0.2462845 -0.3360145 0.3168966 1.5629772
## X820 0.85821946 -0.6852460 -0.3320280 -0.3360145 -0.3972472 -0.4741055
## X821 0.53699786 -0.6852460 -0.9103405 -0.3360145 1.7451841 1.5629772
## X822 1.15294194 -0.6852460 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X823 1.42629884 0.1577927 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X827 0.53699786 -0.6852460 -0.3320280 -0.3360145 3.8876154 3.6000599
## X828 0.53699786 -0.6852460 -0.9103405 -0.3360145 1.7451841 1.5629772
## X829 0.85821946 0.1577927 1.4029096 3.7607774 0.3168966 0.2049221
## X831 0.85821946 -0.6852460 -0.9103405 -0.3360145 2.4593279 2.2420048
## X832 0.53699786 -0.6852460 -0.9103405 -0.3360145 1.0310404 0.8839497
## X833 0.53699786 -0.6852460 -0.9103405 -0.3360145 2.4593279 2.2420048
## X834 0.85821946 -0.6852460 -0.9103405 -0.3360145 2.4593279 2.2420048
## X835 0.53699786 -0.6852460 -0.9103405 -0.3360145 1.0310404 0.8839497
## X836 0.53699786 -0.6852460 -0.9103405 -0.3360145 2.4593279 2.2420048
## X839 1.29203392 -0.6852460 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X840 1.42629884 -0.6852460 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X841 0.53699786 -0.6852460 -0.9103405 -0.3360145 2.4593279 2.2420048
## X842 1.15294194 -0.6852460 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X843 0.85821946 -0.6852460 -0.9103405 -0.3360145 2.4593279 2.2420048
## X846 1.42629884 -0.6852460 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X848 0.53699786 -0.6852460 -0.9103405 -0.3360145 3.1734717 2.9210324
## X849 0.53699786 -0.6852460 -0.9103405 -0.3360145 2.4593279 2.2420048
## X851 2.47218708 -0.6852460 0.8245970 -0.3360145 -0.3972472 -0.4741055
## X854 0.53699786 -0.6852460 -0.9103405 -0.3360145 2.4593279 2.2420048
## X855 1.68198027 0.1577927 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X856 0.53699786 -0.6852460 -0.9103405 -0.3360145 3.8876154 3.6000599
## X857 0.53699786 -0.6852460 -0.9103405 -0.3360145 3.1734717 2.9210324
## X858 0.53699786 -0.6852460 -0.9103405 -0.3360145 3.8876154 3.6000599
## X859 0.53699786 -0.6852460 -0.9103405 -0.3360145 3.8876154 3.6000599
## X860 0.53699786 -0.6852460 -0.9103405 -0.3360145 2.4593279 2.2420048
## X862 0.53699786 -0.6852460 -0.9103405 -0.3360145 3.1734717 2.9210324
## X863 0.53699786 -0.6852460 -0.9103405 -0.3360145 4.6017592 4.2790875
## X864 1.80408084 -0.6852460 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X865 1.68198027 -0.6852460 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X866 0.53699786 -0.6852460 -0.9103405 -0.3360145 3.8876154 3.6000599
## X867 1.68198027 -0.6852460 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X869 1.92274051 1.8438701 -0.9103405 -0.3360145 -0.3972472 1.5629772
## X870 0.53699786 -0.6852460 -0.9103405 -0.3360145 3.8876154 3.6000599
## X871 0.53699786 -0.6852460 -0.9103405 -0.3360145 3.8876154 3.6000599
## X872 0.53699786 -0.6852460 -0.9103405 -0.3360145 3.8876154 3.6000599
## X873 1.68198027 -0.6852460 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X875 0.53699786 -0.6852460 -0.9103405 -0.3360145 5.3159030 4.9581151
## X876 0.53699786 -0.6852460 -0.9103405 -0.3360145 5.3159030 4.9581151
## X877 0.53699786 -0.6852460 -0.9103405 -0.3360145 6.7441905 6.3161702
## X1190 0.53699786 -0.6852460 -0.3320280 -0.3360145 -0.3972472 -0.4741055
## X1191 -0.44251753 -0.6852460 -0.9103405 -0.3360145 0.3168966 0.2049221
## X1192 1.68198027 -0.6852460 0.2462845 -0.3360145 -0.3972472 -0.4741055
## X1193 0.36423857 -0.6852460 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X1194 2.03820634 -0.6852460 2.5595346 -0.3360145 -0.3972472 -0.4741055
## X1195 -0.68595798 -0.6852460 -0.9103405 -0.3360145 1.7451841 1.5629772
## X1197 0.18177643 -0.6852460 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X1198 -0.68595798 -0.6852460 -0.9103405 -0.3360145 -0.3972472 0.8839497
## X1199 0.18177643 3.5299475 -0.9103405 1.7123815 -0.3972472 -0.4741055
## X1200 -0.44251753 -0.6852460 0.2462845 5.8091734 -0.3972472 -0.4741055
## X1201 1.80408084 0.1577927 2.5595346 -0.3360145 -0.3972472 -0.4741055
## X1202 2.26041072 -0.6852460 3.7161597 -0.3360145 -0.3972472 0.2049221
## X1203 -0.21915966 -0.6852460 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X1204 1.00853037 1.8438701 1.4029096 1.7123815 -0.3972472 -0.4741055
## X1205 0.70131917 1.0008314 0.2462845 -0.3360145 -0.3972472 1.5629772
## X1206 -1.25901822 -0.6852460 -0.9103405 -0.3360145 3.1734717 2.9210324
## X1207 1.29203392 1.0008314 -0.9103405 1.7123815 -0.3972472 -0.4741055
## X1208 2.15069776 -0.6852460 1.4029096 1.7123815 -0.3972472 -0.4741055
## X1209 -0.68595798 -0.6852460 -0.3320280 -0.3360145 3.1734717 2.9210324
## X1210 2.15069776 -0.6852460 1.4029096 -0.3360145 -0.3972472 -0.4741055
## X1212 1.68198027 -0.6852460 0.2462845 -0.3360145 -0.3972472 -0.4741055
## X1213 1.29203392 1.0008314 -0.9103405 1.7123815 -0.3972472 -0.4741055
## X1215 2.15069776 -0.6852460 2.5595346 -0.3360145 -0.3972472 0.2049221
## X1216 0.53699786 -0.6852460 -0.9103405 1.7123815 -0.3972472 -0.4741055
## X1217 1.29203392 1.0008314 -0.3320280 -0.3360145 1.0310404 0.8839497
## X1219 1.42629884 -0.6852460 0.2462845 -0.3360145 -0.3972472 -0.4741055
## X1220 1.80408084 0.1577927 0.2462845 -0.3360145 0.3168966 0.8839497
## X1221 -0.44251753 -0.6852460 -0.9103405 -0.3360145 -0.3972472 0.2049221
## X1222 1.68198027 0.1577927 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X1226 1.80408084 1.8438701 -0.9103405 1.7123815 -0.3972472 1.5629772
## X1228 0.18177643 -0.6852460 0.8245970 3.7607774 -0.3972472 -0.4741055
## X1229 2.36752103 -0.6852460 2.5595346 -0.3360145 -0.3972472 -0.4741055
## X1230 0.85821946 0.1577927 0.2462845 -0.3360145 -0.3972472 -0.4741055
## X1231 0.85821946 -0.6852460 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X1233 1.80408084 -0.6852460 0.2462845 -0.3360145 -0.3972472 -0.4741055
## X1234 0.53699786 -0.6852460 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X1236 1.92274051 -0.6852460 0.8245970 -0.3360145 -0.3972472 -0.4741055
## X1237 -0.44251753 0.1577927 0.8245970 1.7123815 1.7451841 1.5629772
## X1239 0.18177643 0.1577927 -0.3320280 1.7123815 1.7451841 1.5629772
## X1242 -1.25901822 -0.6852460 -0.9103405 -0.3360145 3.8876154 3.6000599
## X1244 0.53699786 -0.6852460 -0.9103405 -0.3360145 0.3168966 0.2049221
## X1245 0.53699786 -0.6852460 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X1246 1.42629884 -0.6852460 0.2462845 -0.3360145 -0.3972472 -0.4741055
## X1247 2.03820634 -0.6852460 0.8245970 -0.3360145 -0.3972472 -0.4741055
## X1249 0.85821946 -0.6852460 1.9812221 1.7123815 0.3168966 0.2049221
## X1250 0.18177643 -0.6852460 -0.3320280 -0.3360145 3.8876154 3.6000599
## X1251 -0.21915966 1.0008314 -0.9103405 -0.3360145 2.4593279 2.2420048
## X1253 0.36423857 -0.6852460 0.2462845 5.8091734 0.3168966 0.2049221
## X1254 0.53699786 -0.6852460 -0.9103405 -0.3360145 1.0310404 0.8839497
## X1255 1.00853037 -0.6852460 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X1256 1.15294194 -0.6852460 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X1257 0.53699786 -0.6852460 -0.9103405 -0.3360145 1.7451841 1.5629772
## X1259 0.53699786 -0.6852460 -0.3320280 -0.3360145 3.8876154 3.6000599
## X1260 0.53699786 -0.6852460 -0.9103405 -0.3360145 1.7451841 1.5629772
## X1262 1.80408084 -0.6852460 0.8245970 -0.3360145 1.0310404 0.8839497
## X1264 0.18177643 -0.6852460 -0.9103405 -0.3360145 4.6017592 4.2790875
## X1265 0.53699786 -0.6852460 -0.9103405 -0.3360145 2.4593279 2.2420048
## X1266 0.85821946 -0.6852460 -0.9103405 -0.3360145 3.1734717 2.9210324
## X1267 1.80408084 -0.6852460 3.1378471 -0.3360145 -0.3972472 -0.4741055
## X1268 1.15294194 -0.6852460 0.2462845 -0.3360145 -0.3972472 -0.4741055
## X1273 0.53699786 -0.6852460 -0.9103405 -0.3360145 2.4593279 2.2420048
## X1274 1.15294194 -0.6852460 -0.3320280 -0.3360145 -0.3972472 -0.4741055
## X1275 0.53699786 -0.6852460 -0.9103405 -0.3360145 3.8876154 3.6000599
## X1276 1.68198027 -0.6852460 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X1277 0.53699786 -0.6852460 -0.9103405 -0.3360145 3.1734717 2.9210324
## X1278 1.29203392 -0.6852460 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X1279 1.42629884 -0.6852460 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X1281 0.53699786 -0.6852460 -0.9103405 -0.3360145 3.8876154 3.6000599
## X1282 0.53699786 -0.6852460 -0.9103405 -0.3360145 3.8876154 3.6000599
## X1283 1.68198027 -0.6852460 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X1284 1.42629884 -0.6852460 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X1285 0.53699786 -0.6852460 -0.9103405 -0.3360145 3.8876154 3.6000599
## X1288 0.53699786 -0.6852460 -0.9103405 -0.3360145 6.0300467 5.6371426
## X1299 1.00853037 1.0008314 0.2462845 -0.3360145 -0.3972472 -0.4741055
## X1301 1.55615914 -0.6852460 0.2462845 -0.3360145 -0.3972472 -0.4741055
## X1302 -0.68595798 -0.6852460 -0.9103405 -0.3360145 3.8876154 3.6000599
## X1307 -0.01199386 0.1577927 0.8245970 1.7123815 1.7451841 1.5629772
## X1309 0.85821946 -0.6852460 -0.9103405 -0.3360145 3.1734717 2.9210324
## X1310 0.18177643 -0.6852460 -0.9103405 -0.3360145 5.3159030 4.9581151
## X447 -0.21915966 -0.6852460 0.8245970 -0.3360145 1.0310404 0.8839497
## X448 1.80408084 1.0008314 3.7161597 -0.3360145 0.3168966 0.2049221
## X451 -0.95516548 -0.6852460 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X452 -0.44251753 -0.6852460 -0.9103405 -0.3360145 0.3168966 0.8839497
## X453 -0.01199386 0.1577927 -0.3320280 -0.3360145 -0.3972472 -0.4741055
## X454 0.53699786 2.6869088 0.8245970 1.7123815 -0.3972472 -0.4741055
## X455 0.18177643 -0.6852460 0.8245970 -0.3360145 0.3168966 0.2049221
## X456 0.70131917 0.1577927 0.2462845 -0.3360145 -0.3972472 -0.4741055
## X458 0.36423857 2.6869088 0.8245970 1.7123815 -0.3972472 -0.4741055
## X459 -0.01199386 -0.6852460 -0.3320280 -0.3360145 -0.3972472 -0.4741055
## X460 -0.68595798 -0.6852460 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X461 -0.44251753 -0.6852460 0.2462845 -0.3360145 0.3168966 0.2049221
## X462 -0.68595798 -0.6852460 -0.9103405 1.7123815 -0.3972472 -0.4741055
## X463 1.29203392 1.8438701 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X464 -2.04708364 -0.6852460 -0.9103405 -0.3360145 3.1734717 2.9210324
## X465 1.00853037 1.0008314 0.2462845 -0.3360145 -0.3972472 -0.4741055
## X466 -0.01199386 0.1577927 0.8245970 1.7123815 0.3168966 0.2049221
## X468 -0.21915966 0.1577927 0.2462845 -0.3360145 -0.3972472 -0.4741055
## X471 -0.01199386 0.1577927 -0.3320280 -0.3360145 -0.3972472 -0.4741055
## X472 -0.95516548 -0.6852460 -0.9103405 -0.3360145 0.3168966 0.2049221
## X473 -0.95516548 -0.6852460 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X476 0.53699786 -0.6852460 0.2462845 -0.3360145 -0.3972472 -0.4741055
## X477 0.18177643 1.0008314 0.8245970 1.7123815 -0.3972472 -0.4741055
## X478 -0.68595798 -0.6852460 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X479 -0.95516548 -0.6852460 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X480 0.53699786 1.0008314 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X482 -0.95516548 -0.6852460 -0.9103405 -0.3360145 1.0310404 0.8839497
## X483 -1.25901822 -0.6852460 -0.9103405 -0.3360145 1.0310404 0.8839497
## X484 0.53699786 1.0008314 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X486 -0.01199386 -0.6852460 0.2462845 -0.3360145 -0.3972472 -0.4741055
## X487 1.00853037 0.1577927 0.8245970 -0.3360145 -0.3972472 -0.4741055
## X488 0.36423857 -0.6852460 0.8245970 -0.3360145 -0.3972472 -0.4741055
## X489 -0.44251753 -0.6852460 0.2462845 -0.3360145 -0.3972472 0.2049221
## X490 1.00853037 0.1577927 0.2462845 -0.3360145 0.3168966 0.2049221
## X491 -0.95516548 -0.6852460 -0.9103405 -0.3360145 0.3168966 0.2049221
## X492 0.53699786 1.0008314 0.8245970 -0.3360145 -0.3972472 -0.4741055
## X493 -0.01199386 -0.6852460 0.2462845 -0.3360145 -0.3972472 -0.4741055
## X494 -0.68595798 1.0008314 0.2462845 -0.3360145 1.7451841 1.5629772
## X495 1.68198027 1.0008314 0.2462845 -0.3360145 -0.3972472 -0.4741055
## X496 -0.68595798 2.6869088 -0.9103405 1.7123815 -0.3972472 -0.4741055
## X497 0.70131917 0.1577927 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X498 -0.21915966 -0.6852460 -0.3320280 -0.3360145 0.3168966 0.2049221
## X499 -0.21915966 -0.6852460 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X501 -0.01199386 1.0008314 0.8245970 -0.3360145 1.0310404 0.8839497
## X502 -0.21915966 -0.6852460 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X503 1.68198027 1.0008314 0.2462845 -0.3360145 -0.3972472 -0.4741055
## X505 -0.21915966 0.1577927 -0.3320280 -0.3360145 0.3168966 0.2049221
## X506 0.36423857 2.6869088 0.2462845 1.7123815 -0.3972472 -0.4741055
## X507 0.85821946 2.6869088 0.8245970 -0.3360145 -0.3972472 -0.4741055
## X508 -0.01199386 0.1577927 0.8245970 -0.3360145 -0.3972472 0.8839497
## X509 1.92274051 1.0008314 3.7161597 -0.3360145 -0.3972472 -0.4741055
## X510 0.18177643 1.8438701 -0.3320280 -0.3360145 0.3168966 0.2049221
## X513 -0.95516548 -0.6852460 -0.9103405 -0.3360145 -0.3972472 0.2049221
## X514 0.36423857 1.8438701 0.8245970 1.7123815 -0.3972472 -0.4741055
## X515 0.18177643 -0.6852460 0.2462845 -0.3360145 -0.3972472 -0.4741055
## X516 0.18177643 -0.6852460 -0.3320280 -0.3360145 -0.3972472 -0.4741055
## X518 0.85821946 1.8438701 0.8245970 -0.3360145 -0.3972472 -0.4741055
## X521 0.53699786 2.6869088 1.4029096 1.7123815 -0.3972472 -0.4741055
## X523 0.36423857 -0.6852460 0.2462845 -0.3360145 -0.3972472 -0.4741055
## X524 -0.01199386 0.1577927 -0.3320280 -0.3360145 1.0310404 0.8839497
## X525 0.70131917 1.0008314 0.8245970 -0.3360145 -0.3972472 -0.4741055
## X526 -0.01199386 -0.6852460 -0.3320280 -0.3360145 -0.3972472 -0.4741055
## X530 0.18177643 0.1577927 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X531 0.70131917 0.1577927 0.2462845 -0.3360145 -0.3972472 -0.4741055
## X532 -0.01199386 3.5299475 -0.9103405 1.7123815 -0.3972472 -0.4741055
## X533 -0.44251753 1.8438701 1.4029096 3.7607774 0.3168966 0.2049221
## X534 0.36423857 1.0008314 0.8245970 1.7123815 -0.3972472 -0.4741055
## X535 -0.68595798 -0.6852460 -0.9103405 -0.3360145 1.0310404 0.8839497
## X536 1.55615914 1.0008314 -0.3320280 -0.3360145 -0.3972472 -0.4741055
## X538 1.00853037 -0.6852460 3.1378471 -0.3360145 -0.3972472 -0.4741055
## X539 1.55615914 1.0008314 -0.3320280 -0.3360145 -0.3972472 -0.4741055
## X542 1.80408084 -0.6852460 1.9812221 -0.3360145 -0.3972472 -0.4741055
## X543 -0.68595798 -0.6852460 -0.9103405 -0.3360145 0.3168966 0.2049221
## X544 1.92274051 1.0008314 3.7161597 -0.3360145 -0.3972472 -0.4741055
## X545 0.53699786 0.1577927 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X546 -2.04708364 -0.6852460 -0.9103405 -0.3360145 1.0310404 3.6000599
## X548 0.18177643 -0.6852460 -0.3320280 -0.3360145 -0.3972472 -0.4741055
## X549 -0.68595798 -0.6852460 -0.9103405 -0.3360145 -0.3972472 0.8839497
## X551 -2.64432555 -0.6852460 -0.9103405 -0.3360145 -0.3972472 2.2420048
## X552 1.92274051 0.1577927 3.1378471 -0.3360145 -0.3972472 -0.4741055
## X553 0.53699786 0.1577927 0.2462845 1.7123815 -0.3972472 -0.4741055
## X554 -0.01199386 4.3729862 -0.9103405 -0.3360145 0.3168966 0.2049221
## X556 0.70131917 -0.6852460 0.8245970 -0.3360145 -0.3972472 -0.4741055
## X557 0.85821946 1.8438701 0.2462845 -0.3360145 0.3168966 0.2049221
## X558 -0.44251753 0.1577927 -0.9103405 3.7607774 -0.3972472 -0.4741055
## X559 -0.95516548 -0.6852460 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X560 -0.01199386 -0.6852460 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X561 -0.68595798 -0.6852460 -0.9103405 -0.3360145 0.3168966 0.8839497
## X562 -0.01199386 -0.6852460 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X563 0.85821946 -0.6852460 0.2462845 -0.3360145 -0.3972472 -0.4741055
## X565 -0.68595798 -0.6852460 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X566 -0.68595798 0.1577927 -0.9103405 -0.3360145 1.0310404 0.8839497
## X567 0.36423857 1.0008314 0.8245970 1.7123815 -0.3972472 1.5629772
## X568 -0.21915966 0.1577927 -0.3320280 -0.3360145 -0.3972472 0.2049221
## X569 0.85821946 0.1577927 0.2462845 -0.3360145 0.3168966 0.2049221
## X571 -0.21915966 0.1577927 0.2462845 -0.3360145 1.0310404 0.8839497
## X572 0.85821946 1.0008314 0.2462845 -0.3360145 -0.3972472 -0.4741055
## X574 -0.44251753 -0.6852460 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X576 0.36423857 2.6869088 0.8245970 1.7123815 -0.3972472 -0.4741055
## X577 0.53699786 0.1577927 0.2462845 -0.3360145 -0.3972472 -0.4741055
## X579 0.53699786 0.1577927 0.2462845 -0.3360145 -0.3972472 -0.4741055
## X580 -0.44251753 -0.6852460 0.8245970 -0.3360145 -0.3972472 0.8839497
## X582 0.18177643 -0.6852460 -0.3320280 -0.3360145 -0.3972472 -0.4741055
## X583 -0.01199386 -0.6852460 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X584 1.80408084 1.0008314 0.2462845 -0.3360145 -0.3972472 -0.4741055
## X586 0.53699786 0.1577927 1.4029096 1.7123815 -0.3972472 -0.4741055
## X587 0.70131917 0.1577927 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X588 0.36423857 1.0008314 0.2462845 1.7123815 -0.3972472 -0.4741055
## X589 2.15069776 -0.6852460 1.9812221 -0.3360145 -0.3972472 -0.4741055
## X591 1.68198027 1.0008314 0.2462845 -0.3360145 -0.3972472 -0.4741055
## X592 -0.01199386 -0.6852460 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X593 1.15294194 1.8438701 -0.3320280 -0.3360145 -0.3972472 0.8839497
## X594 -0.01199386 -0.6852460 0.2462845 -0.3360145 -0.3972472 -0.4741055
## X595 -0.21915966 0.1577927 -0.9103405 3.7607774 0.3168966 0.2049221
## X596 0.53699786 1.0008314 0.8245970 1.7123815 -0.3972472 -0.4741055
## X597 1.55615914 0.1577927 -0.3320280 -0.3360145 -0.3972472 -0.4741055
## X598 0.36423857 -0.6852460 0.2462845 -0.3360145 -0.3972472 -0.4741055
## X599 -0.01199386 -0.6852460 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X600 0.70131917 -0.6852460 1.9812221 1.7123815 -0.3972472 -0.4741055
## X603 0.18177643 -0.6852460 0.2462845 -0.3360145 -0.3972472 -0.4741055
## X604 0.53699786 1.0008314 0.2462845 1.7123815 -0.3972472 -0.4741055
## X605 1.55615914 -0.6852460 0.8245970 -0.3360145 -0.3972472 -0.4741055
## X606 0.36423857 -0.6852460 0.2462845 -0.3360145 -0.3972472 -0.4741055
## X608 -0.68595798 -0.6852460 -0.9103405 -0.3360145 -0.3972472 0.8839497
## X609 0.18177643 2.6869088 0.2462845 1.7123815 -0.3972472 -0.4741055
## X611 -0.44251753 -0.6852460 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X612 -0.01199386 1.0008314 0.2462845 -0.3360145 1.0310404 0.8839497
## X613 -0.44251753 -0.6852460 -0.9103405 -0.3360145 -0.3972472 0.2049221
## X614 -0.44251753 -0.6852460 -0.9103405 -0.3360145 0.3168966 0.2049221
## X616 -0.68595798 -0.6852460 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X617 1.29203392 0.1577927 0.2462845 -0.3360145 -0.3972472 -0.4741055
## X619 1.00853037 1.8438701 1.4029096 3.7607774 -0.3972472 1.5629772
## X620 -0.68595798 -0.6852460 -0.9103405 -0.3360145 1.7451841 1.5629772
## X621 0.70131917 0.1577927 0.2462845 -0.3360145 -0.3972472 -0.4741055
## X622 0.18177643 -0.6852460 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X623 1.00853037 1.0008314 0.2462845 -0.3360145 1.0310404 0.8839497
## X625 0.85821946 1.8438701 0.2462845 -0.3360145 0.3168966 0.2049221
## X628 1.92274051 -0.6852460 1.9812221 -0.3360145 -0.3972472 0.2049221
## X629 2.15069776 -0.6852460 1.4029096 -0.3360145 -0.3972472 -0.4741055
## X630 1.42629884 1.0008314 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X631 -0.21915966 -0.6852460 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X632 -2.04708364 -0.6852460 -0.9103405 -0.3360145 3.8876154 3.6000599
## X633 0.18177643 -0.6852460 0.8245970 -0.3360145 1.0310404 0.8839497
## X635 0.85821946 1.8438701 0.8245970 1.7123815 -0.3972472 -0.4741055
## X636 1.80408084 -0.6852460 2.5595346 -0.3360145 -0.3972472 0.2049221
## X637 1.55615914 -0.6852460 0.2462845 -0.3360145 -0.3972472 -0.4741055
## X638 1.15294194 -0.6852460 0.8245970 -0.3360145 -0.3972472 -0.4741055
## X639 0.18177643 2.6869088 0.2462845 1.7123815 -0.3972472 -0.4741055
## X641 1.55615914 1.0008314 0.8245970 -0.3360145 -0.3972472 -0.4741055
## X648 1.00853037 1.0008314 1.4029096 1.7123815 0.3168966 0.2049221
## X650 -0.01199386 1.0008314 0.8245970 3.7607774 -0.3972472 -0.4741055
## X651 1.55615914 1.0008314 0.2462845 -0.3360145 -0.3972472 -0.4741055
## X653 2.15069776 -0.6852460 1.4029096 -0.3360145 -0.3972472 -0.4741055
## X654 1.29203392 0.1577927 0.8245970 -0.3360145 -0.3972472 -0.4741055
## X655 0.18177643 -0.6852460 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X656 0.18177643 -0.6852460 -0.9103405 -0.3360145 0.3168966 0.2049221
## X657 0.70131917 0.1577927 0.2462845 -0.3360145 -0.3972472 -0.4741055
## X1082 -0.95516548 -0.6852460 -0.9103405 -0.3360145 0.3168966 0.2049221
## X1083 0.85821946 -0.6852460 -0.3320280 -0.3360145 -0.3972472 -0.4741055
## X1084 0.18177643 -0.6852460 -0.3320280 -0.3360145 -0.3972472 -0.4741055
## X1086 -0.68595798 -0.6852460 -0.9103405 -0.3360145 -0.3972472 0.2049221
## X1088 -0.01199386 1.0008314 0.2462845 -0.3360145 0.3168966 0.2049221
## X1089 0.53699786 1.0008314 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X1090 -0.01199386 0.1577927 0.8245970 -0.3360145 -0.3972472 -0.4741055
## X1091 0.53699786 -0.6852460 0.2462845 -0.3360145 -0.3972472 -0.4741055
## X1092 -0.01199386 -0.6852460 -0.3320280 -0.3360145 -0.3972472 -0.4741055
## X1093 -0.95516548 1.0008314 0.2462845 -0.3360145 1.0310404 0.8839497
## X1094 -0.21915966 -0.6852460 0.2462845 -0.3360145 -0.3972472 -0.4741055
## X1095 -0.21915966 0.1577927 0.2462845 -0.3360145 -0.3972472 -0.4741055
## X1097 -0.95516548 -0.6852460 -0.9103405 -0.3360145 0.3168966 0.2049221
## X1098 0.85821946 1.0008314 0.8245970 -0.3360145 -0.3972472 -0.4741055
## X1101 -0.21915966 1.8438701 1.4029096 3.7607774 1.7451841 1.5629772
## X1103 1.15294194 -0.6852460 2.5595346 -0.3360145 -0.3972472 -0.4741055
## X1104 0.36423857 1.8438701 0.2462845 1.7123815 -0.3972472 -0.4741055
## X1105 -0.68595798 2.6869088 -0.9103405 1.7123815 -0.3972472 -0.4741055
## X1106 -0.21915966 0.1577927 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X1108 -0.21915966 -0.6852460 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X1110 -0.68595798 -0.6852460 -0.9103405 -0.3360145 -0.3972472 0.2049221
## X1112 0.36423857 2.6869088 0.2462845 1.7123815 -0.3972472 -0.4741055
## X1113 1.00853037 -0.6852460 0.2462845 -0.3360145 -0.3972472 -0.4741055
## X1115 0.85821946 -0.6852460 0.2462845 -0.3360145 -0.3972472 -0.4741055
## X1116 0.18177643 1.0008314 -0.9103405 -0.3360145 0.3168966 0.2049221
## X1117 -0.21915966 0.1577927 0.2462845 -0.3360145 -0.3972472 -0.4741055
## X1119 -0.21915966 -0.6852460 0.8245970 -0.3360145 1.7451841 1.5629772
## X1120 1.80408084 -0.6852460 1.9812221 -0.3360145 -0.3972472 -0.4741055
## X1121 0.85821946 3.5299475 0.8245970 -0.3360145 -0.3972472 -0.4741055
## X1122 1.92274051 -0.6852460 1.9812221 -0.3360145 -0.3972472 -0.4741055
## X1124 0.36423857 -0.6852460 0.2462845 -0.3360145 -0.3972472 -0.4741055
## X1125 -2.04708364 -0.6852460 -0.9103405 -0.3360145 1.7451841 3.6000599
## X1126 -0.68595798 -0.6852460 -0.9103405 -0.3360145 1.0310404 0.8839497
## X1127 -0.01199386 -0.6852460 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X1128 -0.21915966 0.1577927 -0.3320280 -0.3360145 -0.3972472 0.2049221
## X1129 -0.44251753 -0.6852460 -0.9103405 -0.3360145 0.3168966 0.2049221
## X1130 -0.21915966 -0.6852460 0.2462845 -0.3360145 1.7451841 1.5629772
## X1131 -0.68595798 -0.6852460 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X1133 0.18177643 1.8438701 -0.3320280 -0.3360145 -0.3972472 0.2049221
## X1135 -0.01199386 -0.6852460 -0.3320280 -0.3360145 -0.3972472 -0.4741055
## X1136 -0.44251753 -0.6852460 -0.9103405 -0.3360145 -0.3972472 0.2049221
## X1138 3.05604172 0.1577927 6.6077223 -0.3360145 -0.3972472 -0.4741055
## X1139 1.80408084 -0.6852460 1.9812221 -0.3360145 -0.3972472 -0.4741055
## X1141 -0.68595798 -0.6852460 -0.9103405 -0.3360145 -0.3972472 -0.4741055
## X1142 -0.68595798 -0.6852460 -0.9103405 -0.3360145 1.0310404 0.8839497
## X1143 1.55615914 1.0008314 0.8245970 -0.3360145 -0.3972472 -0.4741055
## X1144 1.29203392 0.1577927 0.8245970 -0.3360145 -0.3972472 -0.4741055
## X1145 0.18177643 1.8438701 0.8245970 1.7123815 0.3168966 0.2049221
## X1146 -0.01199386 0.1577927 0.2462845 -0.3360145 -0.3972472 -0.4741055
## X1147 0.18177643 0.1577927 -0.3320280 1.7123815 -0.3972472 -0.4741055
## X1149 0.18177643 0.1577927 0.2462845 -0.3360145 0.3168966 0.2049221
## X1150 0.18177643 -0.6852460 0.2462845 -0.3360145 -0.3972472 -0.4741055
## X1151 0.36423857 0.1577927 -0.3320280 1.7123815 -0.3972472 -0.4741055
## X1152 1.29203392 0.1577927 0.8245970 -0.3360145 -0.3972472 -0.4741055
## X1153 -1.25901822 0.1577927 -0.9103405 -0.3360145 -0.3972472 2.2420048
## X1156 0.36423857 -0.6852460 0.2462845 -0.3360145 -0.3972472 -0.4741055
## X1158 1.00853037 -0.6852460 2.5595346 -0.3360145 -0.3972472 -0.4741055
## X1159 0.53699786 -0.6852460 1.4029096 -0.3360145 -0.3972472 -0.4741055
## X1160 1.92274051 -0.6852460 3.7161597 -0.3360145 -0.3972472 -0.4741055
## NumRings HydrophilicFactor SurfaceArea1 SurfaceArea2
## X661 1.2306033 -0.741919037 -0.302617991 -0.379138448
## X662 2.0005400 -0.310306393 0.445784255 1.054350614
## X663 -0.3092700 -0.274782719 0.023833878 -0.076964725
## X665 -0.3092700 -0.834280591 -1.033167401 -1.055357076
## X668 -0.3092700 -0.042990743 0.495375467 0.359508432
## X669 -1.0792067 -0.559860206 -0.457625954 0.141009550
## X670 2.0005400 -0.629131371 0.187343191 0.074384441
## X671 -1.0792067 -0.723269108 -0.287882317 -0.365498662
## X672 2.0005400 0.190577416 1.080835157 0.901427627
## X673 0.4606666 0.331784022 0.132367790 0.023497546
## X674 0.4606666 -0.698402536 0.418013175 0.287899555
## X676 2.0005400 -0.365368089 0.023833878 -0.076964725
## X677 0.4606666 -0.842273418 -1.033167401 -1.055357076
## X678 0.4606666 -0.760568966 -1.033167401 -1.055357076
## X679 -0.3092700 -0.838721050 -1.033167401 -1.055357076
## X682 0.4606666 -0.260573249 0.285392103 0.165141479
## X683 -0.3092700 -0.115814276 1.359112705 1.378820142
## X684 2.0005400 -0.288992189 -0.136558273 0.515316758
## X685 2.0005400 -0.365368089 0.023833878 -0.076964725
## X686 0.4606666 -0.842273418 -1.033167401 -1.055357076
## X688 1.2306033 -0.249028055 0.285392103 0.165141479
## X689 1.2306033 -0.773002252 -0.849538224 -0.885384357
## X690 -0.3092700 -0.689521618 -0.196067728 -0.280512302
## X691 -0.3092700 0.566240273 0.799723825 0.641222476
## X692 -0.3092700 -0.119366643 0.798306933 2.622401413
## X693 0.4606666 0.382405258 1.099821507 1.138812367
## X695 1.2306033 -0.705507271 -0.540089056 0.141796461
## X696 1.2306033 0.343329216 0.069457794 -0.034733848
## X698 -0.3092700 -0.295208832 0.053021849 -0.049947456
## X699 -0.3092700 -0.578510135 -0.359010285 -0.431336861
## X700 -1.0792067 -0.828952040 -1.033167401 -1.055357076
## X702 -1.0792067 -0.812966386 -1.033167401 -1.055357076
## X703 -0.3092700 -0.821847305 -1.033167401 -1.055357076
## X704 0.4606666 -0.842273418 -1.033167401 -1.055357076
## X706 0.4606666 -0.708171547 0.084476847 -0.020831759
## X708 0.4606666 -0.842273418 -1.033167401 -1.055357076
## X709 -0.3092700 -0.821847305 -1.033167401 -1.055357076
## X711 2.0005400 1.404598989 1.743657139 1.514955700
## X712 0.4606666 0.207451161 0.113381439 0.005923206
## X713 0.4606666 0.382405258 0.364738044 0.238586482
## X714 2.0005400 0.190577416 1.826120241 1.591286041
## X715 -0.3092700 -0.130911837 0.053021849 -0.049947456
## X717 0.4606666 -0.760568966 -1.033167401 -1.055357076
## X718 2.0005400 -0.683304975 -0.709832693 -0.015323383
## X721 -0.3092700 0.574233100 0.744465045 0.590073278
## X722 1.2306033 -0.676200240 -0.409735011 -0.478289201
## X723 -1.0792067 -0.821847305 -1.033167401 -1.055357076
## X724 0.4606666 -0.723269108 -0.332656097 -0.406942628
## X726 0.4606666 -0.157554593 -0.198334755 -0.282610731
## X728 0.4606666 -0.278335086 0.023833878 -0.076964725
## X729 -0.3092700 -0.546538828 -1.033167401 -1.055357076
## X731 -1.0792067 -0.812966386 -1.033167401 -1.055357076
## X732 0.4606666 -0.778330804 -1.033167401 -1.055357076
## X733 -0.3092700 0.687908858 0.744465045 0.590073278
## X734 -0.3092700 -0.493253316 -1.033167401 -1.055357076
## X735 2.0005400 -0.376025191 0.023833878 -0.076964725
## X736 -0.3092700 0.331784022 0.449468173 0.317015252
## X737 0.4606666 -0.711723914 -0.682911749 0.110582335
## X739 1.2306033 -0.602488615 0.980519218 0.808572160
## X740 1.2306033 -0.263237525 0.908824493 0.742209354
## X741 -1.0792067 -0.252580422 0.023833878 -0.076964725
## X742 -1.0792067 -0.711723914 -0.287882317 -0.365498662
## X743 -0.3092700 -0.493253316 -1.033167401 -1.055357076
## X744 1.2306033 -0.842273418 -1.033167401 -1.055357076
## X746 -0.3092700 -0.680640699 0.457402767 0.324359752
## X747 -1.0792067 -0.294320740 -0.459892981 -0.524716935
## X749 2.0005400 -0.655774127 0.035452391 0.674535031
## X752 2.0005400 0.148837099 1.826120241 1.591286041
## X753 -0.3092700 -0.821847305 -1.033167401 -1.055357076
## X754 2.0005400 -0.737478578 -0.801647282 -0.100309743
## X755 0.4606666 -0.842273418 -1.033167401 -1.055357076
## X757 -1.0792067 -0.717052465 -1.033167401 -1.055357076
## X758 0.4606666 -0.791652182 -0.771609176 -0.813250873
## X759 -1.0792067 -0.525224623 -0.849538224 2.125336130
## X760 0.4606666 -0.778330804 -1.033167401 -1.055357076
## X761 2.0005400 0.189689324 1.826120241 1.591286041
## X762 1.2306033 -0.844937693 -1.033167401 -1.055357076
## X763 0.4606666 1.916139901 0.441533579 0.309670752
## X764 0.4606666 -0.844937693 -1.033167401 -1.055357076
## X765 0.4606666 -0.257020882 0.285392103 0.165141479
## X767 2.0005400 -0.703731087 0.679571401 0.530005758
## X768 1.2306033 -0.294320740 -0.585712972 -0.641179724
## X770 1.2306033 -0.689521618 -0.801647282 -0.100309743
## X771 0.4606666 -0.111373817 0.758917341 0.603450761
## X772 -0.3092700 -0.546538828 -1.033167401 -1.055357076
## X773 -1.0792067 -0.828952040 -1.033167401 -1.055357076
## X774 -1.0792067 -0.734814302 -1.033167401 -1.055357076
## X775 0.4606666 -0.295208832 0.507560737 0.370787486
## X776 1.2306033 0.810465534 2.186010757 2.144221987
## X777 -1.0792067 -0.596271972 -0.549440542 1.640599114
## X778 2.0005400 2.044025128 2.568288163 2.278259116
## X779 1.2306033 0.285603245 -0.295816911 -0.372843162
## X780 -0.3092700 -0.371584732 -1.033167401 -1.055357076
## X781 -1.0792067 -0.737478578 -0.026324091 -0.123392458
## X782 1.2306033 -0.741919037 -0.065713683 -0.159852656
## X784 0.4606666 1.712766865 1.596017014 1.378295535
## X786 -1.0792067 -0.821847305 -1.033167401 -1.055357076
## X787 0.4606666 -0.723269108 -1.033167401 -1.055357076
## X788 2.0005400 -0.788987906 -0.065713683 -0.159852656
## X789 0.4606666 -0.723269108 -1.033167401 -1.055357076
## X791 0.4606666 -0.723269108 -1.033167401 -1.055357076
## X792 1.2306033 -0.638900382 -0.801647282 -0.100309743
## X794 -1.0792067 -0.294320740 0.023833878 -0.076964725
## X798 2.0005400 -0.768561793 -0.302617991 -0.379138448
## X799 0.4606666 -0.465722469 0.026100905 0.588761760
## X800 2.7704767 -0.365368089 -0.459892981 0.138911121
## X804 0.4606666 -0.737478578 -0.240841509 -0.321956268
## X805 2.0005400 0.135515721 1.826120241 1.591286041
## X807 -1.0792067 -0.395563212 0.013065500 3.438427849
## X808 1.2306033 -0.310306393 0.908824493 0.742209354
## X809 0.4606666 -0.705507271 0.457402767 0.324359752
## X810 1.2306033 -0.525224623 -1.033167401 -1.055357076
## X813 -1.0792067 -0.353822894 0.023833878 -0.076964725
## X814 0.4606666 -0.578510135 0.589457083 0.446593220
## X818 0.4606666 -0.675312148 -1.033167401 -1.055357076
## X819 0.4606666 0.395726636 0.616094648 0.471249757
## X820 -1.0792067 -0.332508690 -0.459892981 -0.524716935
## X821 0.4606666 -0.675312148 -1.033167401 -1.055357076
## X822 2.0005400 -0.851154336 -1.033167401 -1.055357076
## X823 2.0005400 0.183472681 -0.295816911 -0.372843162
## X827 2.7704767 -0.533217450 -0.678094317 -0.726690691
## X828 0.4606666 -0.675312148 -1.033167401 -1.055357076
## X829 0.4606666 -0.515455613 0.597108298 2.216355472
## X831 0.4606666 -0.659326494 -1.033167401 -1.055357076
## X832 0.4606666 -0.723269108 -1.033167401 -1.055357076
## X833 0.4606666 -0.633571830 -1.033167401 -1.055357076
## X834 0.4606666 -0.659326494 -1.033167401 -1.055357076
## X835 0.4606666 -0.723269108 -1.033167401 -1.055357076
## X836 0.4606666 -0.633571830 -1.033167401 -1.055357076
## X839 2.0005400 -0.852042428 -1.033167401 -1.055357076
## X840 2.0005400 -0.853818612 -1.033167401 -1.055357076
## X841 0.4606666 -0.633571830 -1.033167401 -1.055357076
## X842 1.2306033 -0.851154336 -1.033167401 -1.055357076
## X843 0.4606666 -0.659326494 -1.033167401 -1.055357076
## X846 1.2306033 -0.853818612 -1.033167401 -1.055357076
## X848 0.4606666 -0.596271972 -1.033167401 -1.055357076
## X849 0.4606666 -0.633571830 -1.033167401 -1.055357076
## X851 3.5404134 -0.408884590 0.063223470 -0.040504527
## X854 0.4606666 -0.633571830 -1.033167401 -1.055357076
## X855 2.7704767 -0.407108406 -0.585712972 -0.641179724
## X856 0.4606666 -0.562524482 -1.033167401 -1.055357076
## X857 0.4606666 -0.596271972 -1.033167401 -1.055357076
## X858 0.4606666 -0.562524482 -1.033167401 -1.055357076
## X859 0.4606666 -0.562524482 -1.033167401 -1.055357076
## X860 0.4606666 -0.633571830 -1.033167401 -1.055357076
## X862 0.4606666 -0.596271972 -1.033167401 -1.055357076
## X863 0.4606666 -0.533217450 -1.033167401 -1.055357076
## X864 2.7704767 -0.856482887 -1.033167401 -1.055357076
## X865 2.7704767 -0.855594796 -1.033167401 -1.055357076
## X866 0.4606666 -0.562524482 -1.033167401 -1.055357076
## X867 2.7704767 -0.855594796 -1.033167401 -1.055357076
## X869 2.0005400 -0.672647872 -0.162912460 -0.249822784
## X870 0.4606666 -0.562524482 -1.033167401 -1.055357076
## X871 0.4606666 -0.562524482 -1.033167401 -1.055357076
## X872 0.4606666 -0.562524482 -1.033167401 -1.055357076
## X873 2.7704767 -0.855594796 -1.033167401 -1.055357076
## X875 0.4606666 -0.505686603 -1.033167401 -1.055357076
## X876 0.4606666 -0.505686603 -1.033167401 -1.055357076
## X877 0.4606666 -0.459505826 -1.033167401 -1.055357076
## X1190 0.4606666 -0.778330804 -0.771609176 -0.813250873
## X1191 -1.0792067 -0.717052465 -1.033167401 -1.055357076
## X1192 2.0005400 -0.376025191 0.023833878 -0.076964725
## X1193 -0.3092700 -0.838721050 -1.033167401 -1.055357076
## X1194 2.0005400 -0.311194485 1.736572680 1.508398110
## X1195 -0.3092700 -0.546538828 -1.033167401 -1.055357076
## X1197 -0.3092700 -0.834280591 -1.033167401 -1.055357076
## X1198 -0.3092700 -0.612257626 -1.033167401 -1.055357076
## X1199 -0.3092700 0.527164231 0.744465045 1.253701335
## X1200 -1.0792067 -0.446184448 -0.510050950 1.855163443
## X1201 2.7704767 -0.640676565 0.850165173 0.687912513
## X1202 2.0005400 0.201234518 2.571405325 2.281144456
## X1203 -0.3092700 -0.821847305 -1.033167401 -1.055357076
## X1204 1.2306033 0.379740982 1.789281054 1.776996976
## X1205 0.4606666 0.425921759 0.730012749 0.576695796
## X1206 -1.0792067 -0.358263354 -1.033167401 -1.055357076
## X1207 1.2306033 -0.724157200 -0.801647282 -0.100309743
## X1208 2.7704767 -0.709059639 0.679571401 1.193633815
## X1209 -0.3092700 0.088446852 -0.459892981 -0.524716935
## X1210 2.0005400 0.738530094 1.170382718 0.984315558
## X1212 2.0005400 0.168375119 0.113381439 0.005923206
## X1213 1.2306033 -0.724157200 -0.801647282 -0.100309743
## X1215 2.7704767 0.189689324 1.603951608 1.385640035
## X1216 1.2306033 -0.778330804 -1.033167401 -0.314611768
## X1217 1.2306033 -0.257020882 0.270656429 0.151501693
## X1219 0.4606666 0.207451161 0.113381439 0.005923206
## X1220 1.2306033 -0.310306393 0.115648466 0.008021635
## X1221 -1.0792067 -0.717052465 -1.033167401 -1.055357076
## X1222 1.2306033 -0.814742570 -0.941352813 -0.970370717
## X1226 2.0005400 -0.640676565 -0.709832693 -0.015323383
## X1228 -0.3092700 -0.525224623 -0.248492725 1.433641590
## X1229 2.0005400 0.147949007 1.826120241 1.591286041
## X1230 1.2306033 -0.698402536 0.188193326 0.075171351
## X1231 0.4606666 -0.847601969 -1.033167401 -1.055357076
## X1233 2.0005400 -0.385794201 0.023833878 -0.076964725
## X1234 0.4606666 -0.842273418 -1.033167401 -1.055357076
## X1236 2.0005400 -0.753464232 0.195844542 0.082253548
## X1237 -0.3092700 -0.361815721 0.116781980 1.108122848
## X1239 -1.0792067 -0.525224623 -0.457625954 0.141009550
## X1242 -1.0792067 -0.322739679 -1.033167401 -1.055357076
## X1244 0.4606666 -0.778330804 -1.033167401 -1.055357076
## X1245 -0.3092700 -0.842273418 -1.033167401 -1.055357076
## X1246 2.0005400 -0.353822894 0.023833878 -0.076964725
## X1247 1.2306033 -0.757904691 -0.026324091 -0.123392458
## X1249 0.4606666 -0.538546001 0.607593298 1.562432648
## X1250 1.2306033 -0.055424029 -0.459892981 -0.524716935
## X1251 -0.3092700 -0.476379571 0.315146831 0.192683355
## X1253 -0.3092700 -0.514567521 -0.510050950 1.855163443
## X1254 0.4606666 -0.723269108 -1.033167401 -1.055357076
## X1255 1.2306033 -0.849378152 -1.033167401 -1.055357076
## X1256 2.0005400 -0.851154336 -1.033167401 -1.055357076
## X1257 0.4606666 -0.675312148 -1.033167401 -1.055357076
## X1259 2.7704767 -0.533217450 -0.678094317 -0.726690691
## X1260 0.4606666 -0.675312148 -1.033167401 -1.055357076
## X1262 1.2306033 -0.690409709 -0.026324091 -0.123392458
## X1264 1.2306033 -0.494141408 -1.033167401 -1.055357076
## X1265 0.4606666 -0.633571830 -1.033167401 -1.055357076
## X1266 0.4606666 -0.624690912 -1.033167401 -1.055357076
## X1267 1.2306033 0.840660658 1.955057394 1.967953982
## X1268 -1.0792067 -0.327180139 0.023833878 -0.076964725
## X1273 0.4606666 -0.633571830 -1.033167401 -1.055357076
## X1274 -1.0792067 -0.362703813 -0.459892981 -0.524716935
## X1275 2.0005400 -0.562524482 -1.033167401 -1.055357076
## X1276 2.7704767 -0.855594796 -1.033167401 -1.055357076
## X1277 0.4606666 -0.596271972 -1.033167401 -1.055357076
## X1278 2.0005400 -0.852042428 -1.033167401 -1.055357076
## X1279 2.0005400 -0.853818612 -1.033167401 -1.055357076
## X1281 0.4606666 -0.562524482 -1.033167401 -1.055357076
## X1282 0.4606666 -0.562524482 -1.033167401 -1.055357076
## X1283 2.7704767 -0.855594796 -1.033167401 -1.055357076
## X1284 2.0005400 -0.853818612 -1.033167401 -1.055357076
## X1285 0.4606666 -0.562524482 -1.033167401 -1.055357076
## X1288 0.4606666 -0.481708122 -1.033167401 -1.055357076
## X1299 1.2306033 0.321126919 0.616094648 0.471249757
## X1301 2.0005400 -0.365368089 0.023833878 -0.076964725
## X1302 -0.3092700 -0.411548865 -1.033167401 -1.055357076
## X1307 -0.3092700 -0.417765508 0.116781980 1.108122848
## X1309 0.4606666 -0.624690912 -1.033167401 -1.055357076
## X1310 1.2306033 -0.465722469 -1.033167401 -1.055357076
## X447 -0.3092700 -0.028781274 0.285392103 0.165141479
## X448 2.0005400 3.680778427 4.113550354 3.708600536
## X451 -1.0792067 -0.779218896 -1.033167401 -1.055357076
## X452 -0.3092700 -0.640676565 -1.033167401 -1.055357076
## X453 0.4606666 -0.164659328 -0.094618276 -0.186607621
## X454 0.4606666 1.129290512 2.004648607 1.976347696
## X455 -0.3092700 -0.129135654 0.285392103 0.165141479
## X456 0.4606666 -0.240147136 0.053021849 -0.049947456
## X458 0.4606666 1.175471289 2.004648607 1.976347696
## X459 -1.0792067 -0.749023772 -0.549440542 -0.607604866
## X460 -0.3092700 -0.799645008 -1.033167401 -1.055357076
## X461 -0.3092700 -0.039438376 0.023833878 -0.076964725
## X462 -0.3092700 -0.693962077 -1.033167401 -0.314611768
## X463 1.2306033 -0.310306393 -0.250192995 -0.330612286
## X464 -1.0792067 -0.218832932 -1.033167401 -1.055357076
## X465 1.2306033 -0.249028055 0.532214654 0.393607897
## X466 0.4606666 -0.042990743 0.647266268 1.240848459
## X468 -1.0792067 0.604428223 0.449468173 0.317015252
## X471 -0.3092700 0.527164231 0.187909948 0.074909048
## X472 -1.0792067 -0.662878862 -1.033167401 -1.055357076
## X473 -0.3092700 -0.779218896 -1.033167401 -1.055357076
## X476 0.4606666 -0.252580422 0.023833878 -0.076964725
## X477 0.4606666 -0.076738234 0.850731929 0.908247520
## X478 -1.0792067 -0.799645008 -1.033167401 -1.055357076
## X479 -1.0792067 -0.779218896 -1.033167401 -1.055357076
## X480 1.2306033 -0.723269108 -0.302617991 -0.379138448
## X482 -1.0792067 -0.574957768 -1.033167401 -1.055357076
## X483 -1.0792067 -0.527000807 -1.033167401 -1.055357076
## X484 0.4606666 1.948111208 0.441533579 0.309670752
## X486 -1.0792067 -0.683304975 -0.287882317 -0.365498662
## X487 -0.3092700 -0.670871689 0.065490497 -0.038406098
## X488 -0.3092700 -0.190413992 0.285392103 0.165141479
## X489 -0.3092700 -0.039438376 0.023833878 -0.076964725
## X490 -0.3092700 -0.670871689 -0.196067728 -0.280512302
## X491 -1.0792067 -0.662878862 -1.033167401 -1.055357076
## X492 0.4606666 -0.157554593 0.850731929 0.688437121
## X493 -1.0792067 -0.164659328 0.023833878 -0.076964725
## X494 -0.3092700 1.517386655 1.126459073 0.943658503
## X495 2.0005400 -0.321851587 0.258754538 0.140484943
## X496 0.4606666 0.068908831 0.510111142 1.214880405
## X497 1.2306033 -0.785435539 -0.667892696 -0.717247762
## X498 -0.3092700 -0.124695194 -0.459892981 -0.524716935
## X499 -0.3092700 -0.821847305 -1.033167401 -1.055357076
## X501 0.4606666 -0.470162928 0.586056542 0.443445577
## X502 -0.3092700 -0.821847305 -1.033167401 -1.055357076
## X503 3.5404134 0.208339253 0.297010616 0.175895926
## X505 -0.3092700 -0.087395336 -0.208536376 -0.292053660
## X506 0.4606666 1.178135565 1.743090382 1.734241492
## X507 0.4606666 1.766052376 1.956757664 1.712207992
## X508 -0.3092700 2.105303467 1.334458788 1.136189331
## X509 2.0005400 3.653247579 4.113550354 3.708600536
## X510 0.4606666 0.516507129 0.692890184 0.542334027
## X513 -1.0792067 -0.662878862 -1.033167401 -1.055357076
## X514 0.4606666 1.178135565 1.750174841 1.740799082
## X515 0.4606666 0.470326352 0.113381439 0.005923206
## X516 -0.3092700 -0.760568966 -0.771609176 -0.813250873
## X518 -0.3092700 0.382405258 0.969467462 0.798342320
## X521 0.4606666 1.128402420 2.266206832 2.218453900
## X523 -0.3092700 -0.711723914 -0.287882317 -0.365498662
## X524 -0.3092700 -0.094500071 -0.208536376 -0.292053660
## X525 0.4606666 0.399279003 1.099821507 0.919001967
## X526 -1.0792067 -0.209952013 -0.459892981 -0.524716935
## X530 -0.3092700 -0.760568966 -0.941352813 -0.970370717
## X531 -0.3092700 0.364643421 0.364738044 0.238586482
## X532 -0.3092700 0.574233100 0.744465045 1.253701335
## X533 0.4606666 1.385060968 2.330250342 2.497544909
## X534 -0.3092700 0.485423914 1.099821507 1.138812367
## X535 -0.3092700 -0.612257626 -1.033167401 -1.055357076
## X536 2.0005400 -0.336061057 -0.002803688 -0.101621261
## X538 1.2306033 2.486294875 2.689290722 2.390262745
## X539 2.0005400 -0.336061057 -0.002803688 -0.101621261
## X542 2.0005400 0.207451161 1.564562016 1.349179838
## X543 -1.0792067 -0.693962077 -1.033167401 -1.055357076
## X544 2.0005400 3.653247579 4.113550354 3.708600536
## X545 -1.0792067 -0.778330804 -0.941352813 -0.970370717
## X546 -1.0792067 -0.192190176 -1.033167401 -1.055357076
## X548 -0.3092700 -0.760568966 -0.771609176 -0.813250873
## X549 -0.3092700 -0.612257626 -1.033167401 -1.055357076
## X551 -1.0792067 -0.141568940 -1.033167401 -1.055357076
## X552 2.7704767 -0.626467096 1.111723398 0.930018717
## X553 0.4606666 -0.185085441 0.053021849 0.613680600
## X554 -0.3092700 0.581337835 1.418622161 1.214093494
## X556 0.4606666 -0.240147136 0.285392103 0.165141479
## X557 -0.3092700 1.041369418 0.882186927 0.717552818
## X558 0.4606666 -0.039438376 -0.667892696 1.041235435
## X559 -1.0792067 -0.779218896 -1.033167401 -1.055357076
## X560 -0.3092700 -0.828952040 -1.033167401 -1.055357076
## X561 -0.3092700 -0.612257626 -1.033167401 -1.055357076
## X562 -0.3092700 -0.828952040 -1.033167401 -1.055357076
## X563 0.4606666 -0.294320740 0.023833878 -0.076964725
## X565 -1.0792067 -0.799645008 -1.033167401 -1.055357076
## X566 -0.3092700 0.766949033 -0.295816911 -0.372843162
## X567 -0.3092700 0.512954761 1.099821507 1.138812367
## X568 -0.3092700 -0.087395336 -0.208536376 -0.292053660
## X569 -0.3092700 -0.659326494 -0.196067728 -0.280512302
## X571 -0.3092700 0.621301968 0.449468173 0.317015252
## X572 -0.3092700 1.032488500 0.790372339 0.632566458
## X574 -0.3092700 -0.812966386 -1.033167401 -1.055357076
## X576 0.4606666 1.175471289 2.004648607 1.976347696
## X577 0.4606666 -0.217056748 0.053021849 -0.049947456
## X579 0.4606666 -0.217056748 0.163822787 0.052613244
## X580 -0.3092700 0.686132674 0.597108298 0.453675417
## X582 -1.0792067 -0.760568966 -0.549440542 -0.607604866
## X583 -0.3092700 -0.828952040 -1.033167401 -1.055357076
## X584 4.3103501 -0.718828649 -0.104253140 -0.195525943
## X586 0.4606666 -0.533217450 0.597108298 1.552727415
## X587 1.2306033 -0.785435539 -0.667892696 -0.717247762
## X588 -0.3092700 0.472990628 0.616094648 1.312981944
## X589 2.0005400 1.404598989 1.743657139 1.514955700
## X591 2.0005400 -0.321851587 0.258754538 0.140484943
## X592 -0.3092700 -0.828952040 -1.033167401 -1.055357076
## X593 1.2306033 -0.217056748 0.410361960 0.280817358
## X594 -1.0792067 -0.683304975 -0.287882317 -0.365498662
## X595 -1.0792067 -0.555419747 -0.941352813 0.534989527
## X596 -0.3092700 0.447235964 1.099821507 1.138812367
## X597 1.2306033 -0.773002252 -0.679794587 -0.728264513
## X598 -1.0792067 -0.227713850 0.023833878 -0.076964725
## X599 -0.3092700 -0.828952040 -1.033167401 -1.055357076
## X600 0.4606666 -0.578510135 0.718960993 0.786276356
## X603 -1.0792067 -0.198406819 0.023833878 -0.076964725
## X604 -0.3092700 0.433914586 0.616094648 1.312981944
## X605 2.0005400 -0.737478578 0.418013175 0.287899555
## X606 -0.3092700 -0.711723914 -0.287882317 -0.365498662
## X608 -0.3092700 -0.612257626 -1.033167401 -1.055357076
## X609 0.4606666 1.231421076 1.743090382 1.734241492
## X611 -0.3092700 -0.812966386 -1.033167401 -1.055357076
## X612 -0.3092700 -0.042990743 0.144836437 0.035038904
## X613 -0.3092700 -0.717052465 -1.033167401 -1.055357076
## X614 -0.3092700 -0.717052465 -1.033167401 -1.055357076
## X616 -1.0792067 -0.799645008 -1.033167401 -1.055357076
## X617 0.4606666 -0.724157200 -0.196067728 -0.280512302
## X619 1.2306033 1.688788384 2.320898856 2.488888891
## X620 -0.3092700 -0.546538828 -1.033167401 -1.055357076
## X621 0.4606666 0.364643421 0.364738044 0.238586482
## X622 0.4606666 -0.834280591 -1.033167401 -1.055357076
## X623 1.2306033 0.353986318 0.714993696 0.562793706
## X625 0.4606666 -0.593607697 0.582372624 0.440035631
## X628 2.0005400 0.801584616 1.654109577 1.432067769
## X629 2.0005400 0.738530094 1.170382718 0.984315558
## X630 1.2306033 -0.353822894 -0.600448647 -0.654819510
## X631 -1.0792067 -0.821847305 -1.033167401 -1.055357076
## X632 -1.0792067 -0.192190176 -1.033167401 -1.055357076
## X633 -0.3092700 -0.100716714 0.285392103 0.165141479
## X635 0.4606666 0.395726636 1.191636095 1.223798726
## X636 2.0005400 1.494296267 2.227383997 1.962707910
## X637 2.0005400 -0.773002252 -0.065713683 -0.159852656
## X638 0.4606666 -0.295208832 0.507560737 0.370787486
## X639 0.4606666 1.231421076 1.743090382 1.734241492
## X641 1.2306033 -0.285439821 0.691189913 0.540760205
## X648 0.4606666 1.712766865 2.069542251 2.036415216
## X650 0.4606666 0.581337835 1.298469737 2.063432485
## X651 1.2306033 -0.705507271 0.117915493 0.010120064
## X653 2.0005400 0.738530094 1.170382718 0.984315558
## X654 -0.3092700 -0.689521618 0.065490497 -0.038406098
## X655 -0.3092700 -0.834280591 -1.033167401 -1.055357076
## X656 0.4606666 -0.760568966 -1.033167401 -1.055357076
## X657 -0.3092700 0.364643421 0.449468173 0.317015252
## X1082 -1.0792067 -0.662878862 -1.033167401 -1.055357076
## X1083 0.4606666 -0.332508690 -0.459892981 -0.524716935
## X1084 -0.3092700 -0.242811412 -0.459892981 -0.524716935
## X1086 -0.3092700 -0.693962077 -1.033167401 -1.055357076
## X1088 -0.3092700 -0.066969224 0.144836437 0.035038904
## X1089 0.4606666 1.123073869 0.151637518 0.041334190
## X1090 -0.3092700 2.164805621 1.334458788 1.136189331
## X1091 -0.3092700 0.380629074 0.113381439 0.005923206
## X1092 -1.0792067 -0.749023772 -0.549440542 -0.607604866
## X1093 -0.3092700 -0.371584732 0.117915493 0.010120064
## X1094 -0.3092700 -0.124695194 0.023833878 -0.076964725
## X1095 0.4606666 -0.087395336 0.381740745 0.254324696
## X1097 -1.0792067 -0.662878862 -1.033167401 -1.055357076
## X1098 1.2306033 0.367307696 1.099821507 0.919001967
## X1101 0.4606666 2.036032302 2.320898856 2.488888891
## X1103 2.0005400 1.679019374 2.005215364 1.757061904
## X1104 0.4606666 1.180799840 1.377815677 1.396132178
## X1105 0.4606666 0.068908831 0.510111142 1.214880405
## X1106 -1.0792067 0.577785467 -0.295816911 -0.372843162
## X1108 -0.3092700 -0.821847305 -1.033167401 -1.055357076
## X1110 -0.3092700 -0.693962077 -1.033167401 -1.055357076
## X1112 0.4606666 1.178135565 1.743090382 1.734241492
## X1113 0.4606666 0.280274694 0.113381439 0.005923206
## X1115 0.4606666 -0.294320740 0.023833878 -0.076964725
## X1116 -0.3092700 -0.646005116 -0.591097161 -0.646163492
## X1117 -0.3092700 0.604428223 0.364738044 0.238586482
## X1119 -0.3092700 -0.005690885 0.285392103 0.165141479
## X1120 2.0005400 0.815794086 1.654109577 1.432067769
## X1121 1.2306033 0.407271830 1.810534431 1.576859345
## X1122 2.0005400 0.792703697 1.654109577 1.432067769
## X1124 0.4606666 -0.711723914 -0.065713683 -0.159852656
## X1125 -1.0792067 -0.192190176 -1.033167401 -1.055357076
## X1126 -0.3092700 -0.612257626 -1.033167401 -1.055357076
## X1127 0.4606666 -0.828952040 -1.033167401 -1.055357076
## X1128 -0.3092700 -0.087395336 -0.208536376 -0.292053660
## X1129 -0.3092700 -0.717052465 -1.033167401 -1.055357076
## X1130 -0.3092700 -0.028781274 0.023833878 -0.076964725
## X1131 -0.3092700 -0.799645008 -1.033167401 -1.055357076
## X1133 0.4606666 0.516507129 0.692890184 0.542334027
## X1135 -1.0792067 -0.749023772 -0.549440542 -0.607604866
## X1136 -0.3092700 -0.717052465 -1.033167401 -1.055357076
## X1138 2.0005400 3.944541710 5.512589313 5.003593308
## X1139 2.0005400 0.815794086 1.654109577 1.432067769
## X1141 -1.0792067 -0.799645008 -1.033167401 -1.055357076
## X1142 -0.3092700 -0.612257626 -1.033167401 -1.055357076
## X1143 1.2306033 -0.676200240 0.601642352 0.457872274
## X1144 2.7704767 0.270505683 0.466754253 0.333015770
## X1145 0.4606666 1.984522974 1.837171997 1.821326281
## X1146 -1.0792067 0.542261793 0.449468173 0.317015252
## X1147 -1.0792067 -0.646005116 -0.457625954 0.141009550
## X1149 -0.3092700 -0.129135654 0.053021849 -0.049947456
## X1150 -1.0792067 -0.698402536 -0.287882317 -0.365498662
## X1151 -0.3092700 -0.661990770 -0.457625954 0.141009550
## X1152 1.2306033 -0.689521618 0.065490497 -0.038406098
## X1153 -0.3092700 0.205674978 -0.585712972 -0.641179724
## X1156 -1.0792067 -0.227713850 0.023833878 -0.076964725
## X1158 1.2306033 1.724312059 2.005215364 1.757061904
## X1159 1.2306033 -0.633571830 0.456836011 0.323835145
## X1160 2.0005400 0.234093917 2.570838568 2.280619849
## [ reached 'max' / getOption("max.print") -- omitted 497 rows ]
##
## $usekernel
## [1] FALSE
##
## $varnames
## [1] "FP001" "FP002" "FP003"
## [4] "FP004" "FP005" "FP006"
## [7] "FP007" "FP008" "FP009"
## [10] "FP010" "FP011" "FP012"
## [13] "FP013" "FP014" "FP015"
## [16] "FP016" "FP017" "FP018"
## [19] "FP019" "FP020" "FP021"
## [22] "FP022" "FP023" "FP024"
## [25] "FP025" "FP026" "FP027"
## [28] "FP028" "FP029" "FP030"
## [31] "FP031" "FP032" "FP033"
## [34] "FP034" "FP035" "FP036"
## [37] "FP037" "FP038" "FP039"
## [40] "FP040" "FP041" "FP042"
## [43] "FP043" "FP044" "FP045"
## [46] "FP046" "FP047" "FP048"
## [49] "FP049" "FP050" "FP051"
## [52] "FP052" "FP053" "FP054"
## [55] "FP055" "FP056" "FP057"
## [58] "FP058" "FP059" "FP060"
## [61] "FP061" "FP062" "FP063"
## [64] "FP064" "FP065" "FP066"
## [67] "FP067" "FP068" "FP069"
## [70] "FP070" "FP071" "FP072"
## [73] "FP073" "FP074" "FP075"
## [76] "FP076" "FP077" "FP078"
## [79] "FP079" "FP080" "FP081"
## [82] "FP082" "FP083" "FP084"
## [85] "FP085" "FP086" "FP087"
## [88] "FP088" "FP089" "FP090"
## [91] "FP091" "FP092" "FP093"
## [94] "FP094" "FP095" "FP096"
## [97] "FP097" "FP098" "FP099"
## [100] "FP100" "FP101" "FP102"
## [103] "FP103" "FP104" "FP105"
## [106] "FP106" "FP107" "FP108"
## [109] "FP109" "FP110" "FP111"
## [112] "FP112" "FP113" "FP114"
## [115] "FP115" "FP116" "FP117"
## [118] "FP118" "FP119" "FP120"
## [121] "FP121" "FP122" "FP123"
## [124] "FP124" "FP125" "FP126"
## [127] "FP127" "FP128" "FP129"
## [130] "FP130" "FP131" "FP132"
## [133] "FP133" "FP134" "FP135"
## [136] "FP136" "FP137" "FP138"
## [139] "FP139" "FP140" "FP141"
## [142] "FP142" "FP143" "FP144"
## [145] "FP145" "FP146" "FP147"
## [148] "FP148" "FP149" "FP150"
## [151] "FP151" "FP152" "FP153"
## [154] "FP155" "FP156" "FP157"
## [157] "FP158" "FP159" "FP160"
## [160] "FP161" "FP162" "FP163"
## [163] "FP164" "FP165" "FP166"
## [166] "FP167" "FP168" "FP169"
## [169] "FP170" "FP171" "FP172"
## [172] "FP173" "FP174" "FP175"
## [175] "FP176" "FP177" "FP178"
## [178] "FP179" "FP180" "FP181"
## [181] "FP182" "FP183" "FP184"
## [184] "FP185" "FP186" "FP187"
## [187] "FP188" "FP189" "FP190"
## [190] "FP191" "FP192" "FP193"
## [193] "FP194" "FP195" "FP196"
## [196] "FP197" "FP198" "FP201"
## [199] "FP202" "FP203" "FP204"
## [202] "FP205" "FP206" "FP207"
## [205] "FP208" "MolWeight" "NumBonds"
## [208] "NumMultBonds" "NumRotBonds" "NumDblBonds"
## [211] "NumCarbon" "NumNitrogen" "NumOxygen"
## [214] "NumSulfer" "NumChlorine" "NumHalogen"
## [217] "NumRings" "HydrophilicFactor" "SurfaceArea1"
## [220] "SurfaceArea2"
##
## $xNames
## [1] "FP001" "FP002" "FP003"
## [4] "FP004" "FP005" "FP006"
## [7] "FP007" "FP008" "FP009"
## [10] "FP010" "FP011" "FP012"
## [13] "FP013" "FP014" "FP015"
## [16] "FP016" "FP017" "FP018"
## [19] "FP019" "FP020" "FP021"
## [22] "FP022" "FP023" "FP024"
## [25] "FP025" "FP026" "FP027"
## [28] "FP028" "FP029" "FP030"
## [31] "FP031" "FP032" "FP033"
## [34] "FP034" "FP035" "FP036"
## [37] "FP037" "FP038" "FP039"
## [40] "FP040" "FP041" "FP042"
## [43] "FP043" "FP044" "FP045"
## [46] "FP046" "FP047" "FP048"
## [49] "FP049" "FP050" "FP051"
## [52] "FP052" "FP053" "FP054"
## [55] "FP055" "FP056" "FP057"
## [58] "FP058" "FP059" "FP060"
## [61] "FP061" "FP062" "FP063"
## [64] "FP064" "FP065" "FP066"
## [67] "FP067" "FP068" "FP069"
## [70] "FP070" "FP071" "FP072"
## [73] "FP073" "FP074" "FP075"
## [76] "FP076" "FP077" "FP078"
## [79] "FP079" "FP080" "FP081"
## [82] "FP082" "FP083" "FP084"
## [85] "FP085" "FP086" "FP087"
## [88] "FP088" "FP089" "FP090"
## [91] "FP091" "FP092" "FP093"
## [94] "FP094" "FP095" "FP096"
## [97] "FP097" "FP098" "FP099"
## [100] "FP100" "FP101" "FP102"
## [103] "FP103" "FP104" "FP105"
## [106] "FP106" "FP107" "FP108"
## [109] "FP109" "FP110" "FP111"
## [112] "FP112" "FP113" "FP114"
## [115] "FP115" "FP116" "FP117"
## [118] "FP118" "FP119" "FP120"
## [121] "FP121" "FP122" "FP123"
## [124] "FP124" "FP125" "FP126"
## [127] "FP127" "FP128" "FP129"
## [130] "FP130" "FP131" "FP132"
## [133] "FP133" "FP134" "FP135"
## [136] "FP136" "FP137" "FP138"
## [139] "FP139" "FP140" "FP141"
## [142] "FP142" "FP143" "FP144"
## [145] "FP145" "FP146" "FP147"
## [148] "FP148" "FP149" "FP150"
## [151] "FP151" "FP152" "FP153"
## [154] "FP155" "FP156" "FP157"
## [157] "FP158" "FP159" "FP160"
## [160] "FP161" "FP162" "FP163"
## [163] "FP164" "FP165" "FP166"
## [166] "FP167" "FP168" "FP169"
## [169] "FP170" "FP171" "FP172"
## [172] "FP173" "FP174" "FP175"
## [175] "FP176" "FP177" "FP178"
## [178] "FP179" "FP180" "FP181"
## [181] "FP182" "FP183" "FP184"
## [184] "FP185" "FP186" "FP187"
## [187] "FP188" "FP189" "FP190"
## [190] "FP191" "FP192" "FP193"
## [193] "FP194" "FP195" "FP196"
## [196] "FP197" "FP198" "FP201"
## [199] "FP202" "FP203" "FP204"
## [202] "FP205" "FP206" "FP207"
## [205] "FP208" "MolWeight" "NumBonds"
## [208] "NumMultBonds" "NumRotBonds" "NumDblBonds"
## [211] "NumCarbon" "NumNitrogen" "NumOxygen"
## [214] "NumSulfer" "NumChlorine" "NumHalogen"
## [217] "NumRings" "HydrophilicFactor" "SurfaceArea1"
## [220] "SurfaceArea2"
##
## $problemType
## [1] "Classification"
##
## $tuneValue
## fL usekernel adjust
## 1 2 FALSE FALSE
##
## $obsLevels
## [1] "Low" "High"
## attr(,"ordered")
## [1] FALSE
##
## $param
## list()
##
## attr(,"class")
## [1] "NaiveBayes"NB_Tune$results## usekernel fL adjust ROC Sens Spec ROCSD SensSD
## 1 FALSE 2 FALSE 0.8818276 0.7772979 0.8072932 0.03408364 0.07087909
## 2 TRUE 2 FALSE NaN NaN NaN NA NA
## SpecSD
## 1 0.05222652
## 2 NA(NB_Train_ROCCurveAUC <- NB_Tune$results[NB_Tune$results$usekernel==NB_Tune$bestTune$usekernel &
NB_Tune$results$adjust==NB_Tune$bestTune$adjust,
c("ROC")])## [1] 0.8818276##################################
# Identifying and plotting the
# best model predictors
##################################
# model does not support variable importance measurement
##################################
# Independently evaluating the model
# on the test set
##################################
NB_Test <- data.frame(NB_Observed = PMA_PreModelling_Test_NB$Log_Solubility_Class,
NB_Predicted = predict(NB_Tune,
PMA_PreModelling_Test_NB[,!names(PMA_PreModelling_Test_NB) %in% c("Log_Solubility_Class")],
type = "prob"))
NB_Test## NB_Observed NB_Predicted.Low NB_Predicted.High
## 20 High 4.364662e-14 1.000000e+00
## 21 High 6.410958e-17 1.000000e+00
## 23 High 9.534226e-07 9.999990e-01
## 25 High 1.062868e-11 1.000000e+00
## 28 High 1.381006e-09 1.000000e+00
## 31 High 2.725477e-15 1.000000e+00
## 32 High 1.009329e-13 1.000000e+00
## 33 High 1.297622e-11 1.000000e+00
## 34 High 1.203507e-13 1.000000e+00
## 37 High 2.708885e-05 9.999729e-01
## 38 High 1.943691e-06 9.999981e-01
## 42 High 2.701061e-01 7.298939e-01
## 49 High 1.085724e-12 1.000000e+00
## 54 High 2.898243e-12 1.000000e+00
## 55 High 1.529527e-07 9.999998e-01
## 58 High 8.528585e-04 9.991471e-01
## 60 High 1.095641e-07 9.999999e-01
## 61 High 2.858235e-13 1.000000e+00
## 65 High 7.180941e-09 1.000000e+00
## 69 High 2.153357e-03 9.978466e-01
## 73 High 3.393127e-14 1.000000e+00
## 86 High 9.586947e-11 1.000000e+00
## 90 High 2.238680e-11 1.000000e+00
## 91 High 3.952971e-10 1.000000e+00
## 93 High 1.501086e-12 1.000000e+00
## 96 High 7.496453e-09 1.000000e+00
## 98 High 2.756200e-09 1.000000e+00
## 100 High 1.725896e-09 1.000000e+00
## 104 High 9.999626e-01 3.736998e-05
## 112 High 1.850118e-07 9.999998e-01
## 115 High 9.998048e-01 1.951718e-04
## 119 High 1.378442e-12 1.000000e+00
## 128 High 1.535482e-12 1.000000e+00
## 130 High 3.513718e-09 1.000000e+00
## 139 High 2.255600e-10 1.000000e+00
## 143 High 1.081262e-12 1.000000e+00
## 145 High 1.811821e-10 1.000000e+00
## 146 High 2.569698e-12 1.000000e+00
## 149 High 1.219667e-08 1.000000e+00
## 150 High 3.245685e-11 1.000000e+00
## 152 High 5.352517e-13 1.000000e+00
## 157 High 9.942953e-01 5.704656e-03
## 161 High 1.791776e-06 9.999982e-01
## 162 High 1.513519e-18 1.000000e+00
## 166 High 3.097081e-08 1.000000e+00
## 167 High 2.157478e-11 1.000000e+00
## 173 High 2.952122e-11 1.000000e+00
## 176 High 8.962827e-13 1.000000e+00
## 182 High 9.808933e-12 1.000000e+00
## 187 High 3.182456e-09 1.000000e+00
## 190 High 9.002230e-13 1.000000e+00
## 194 High 1.288191e-04 9.998712e-01
## 195 High 9.278369e-05 9.999072e-01
## 201 High 1.408298e-11 1.000000e+00
## 207 High 7.382190e-10 1.000000e+00
## 208 High 8.630909e-06 9.999914e-01
## 215 High 1.642038e-09 1.000000e+00
## 222 High 3.797564e-06 9.999962e-01
## 224 High 6.287627e-07 9.999994e-01
## 231 High 3.707866e-01 6.292134e-01
## 236 High 1.076599e-07 9.999999e-01
## 237 High 1.507970e-10 1.000000e+00
## 240 High 2.850582e-03 9.971494e-01
## 243 High 3.503573e-10 1.000000e+00
## 248 High 1.472072e-04 9.998528e-01
## 251 High 9.999890e-01 1.099658e-05
## 256 High 3.554193e-03 9.964458e-01
## 258 High 9.985646e-01 1.435368e-03
## 262 High 5.275795e-04 9.994724e-01
## 266 High 8.308258e-01 1.691742e-01
## 272 High 1.030189e-02 9.896981e-01
## 280 High 1.463723e-03 9.985363e-01
## 283 High 1.398582e-07 9.999999e-01
## 286 High 9.999986e-01 1.353171e-06
## 287 High 1.549529e-05 9.999845e-01
## 289 High 1.097015e-01 8.902985e-01
## 290 High 4.551853e-05 9.999545e-01
## 298 High 3.961289e-09 1.000000e+00
## 305 High 2.366783e-07 9.999998e-01
## 306 High 3.248590e-05 9.999675e-01
## 312 High 1.741562e-06 9.999983e-01
## 320 High 2.448799e-05 9.999755e-01
## 325 High 2.115973e-07 9.999998e-01
## 332 High 9.961767e-11 1.000000e+00
## 333 High 8.326838e-03 9.916732e-01
## 335 High 1.065318e-10 1.000000e+00
## 339 High 9.908988e-01 9.101184e-03
## 346 High 5.895639e-01 4.104361e-01
## 347 High 2.839264e-03 9.971607e-01
## 350 High 1.158072e-07 9.999999e-01
## 353 High 4.901773e-04 9.995098e-01
## 358 High 5.884228e-04 9.994116e-01
## 365 High 9.999931e-01 6.894831e-06
## 367 High 2.135277e-04 9.997865e-01
## 370 High 9.414952e-07 9.999991e-01
## 379 High 8.673552e-08 9.999999e-01
## 386 High 1.668272e-05 9.999833e-01
## 394 High 4.911945e-02 9.508805e-01
## 396 High 3.811223e-08 1.000000e+00
## 400 High 3.421792e-10 1.000000e+00
## 404 High 9.963372e-01 3.662832e-03
## 405 High 3.084035e-05 9.999692e-01
## 413 High 1.741976e-02 9.825802e-01
## 415 High 9.648352e-07 9.999990e-01
## 417 High 1.202736e-09 1.000000e+00
## 418 High 1.996106e-06 9.999980e-01
## 423 High 9.993650e-01 6.349562e-04
## 434 High 5.324453e-01 4.675547e-01
## 437 High 9.999992e-01 7.983086e-07
## 440 High 9.996967e-01 3.033301e-04
## 449 High 9.715650e-04 9.990284e-01
## 450 High 9.998962e-01 1.038334e-04
## 457 High 3.368502e-04 9.996631e-01
## 467 High 9.992981e-01 7.018652e-04
## 469 High 1.000000e+00 2.525893e-14
## 474 High 9.999930e-01 6.995108e-06
## 475 High 9.999980e-01 2.014157e-06
## 485 High 1.164597e-08 1.000000e+00
## 504 Low 9.822745e-01 1.772553e-02
## 511 Low 1.000000e+00 1.815732e-14
## 512 Low 9.998762e-01 1.237755e-04
## 517 Low 4.116534e-08 1.000000e+00
## 519 Low 9.997131e-01 2.869350e-04
## 520 Low 1.519122e-08 1.000000e+00
## 522 Low 9.905422e-01 9.457770e-03
## 527 Low 5.537178e-02 9.446282e-01
## 528 Low 3.473163e-08 1.000000e+00
## 529 Low 1.508821e-03 9.984912e-01
## 537 Low 1.696684e-07 9.999998e-01
## 540 Low 1.000000e+00 6.348742e-09
## 541 Low 2.095219e-04 9.997905e-01
## 547 Low 9.972504e-01 2.749566e-03
## 550 Low 9.999977e-01 2.289149e-06
## 555 Low 1.091912e-01 8.908088e-01
## 564 Low 4.763308e-09 1.000000e+00
## 570 Low 1.431011e-02 9.856899e-01
## 573 Low 9.679719e-01 3.202806e-02
## 575 Low 2.517162e-04 9.997483e-01
## 578 Low 5.846899e-07 9.999994e-01
## 581 Low 9.937508e-01 6.249203e-03
## 585 Low 8.739457e-01 1.260543e-01
## 590 Low 9.999837e-01 1.630388e-05
## 601 Low 1.000000e+00 7.824787e-13
## 602 Low 9.966568e-01 3.343166e-03
## 607 Low 8.879842e-01 1.120158e-01
## 610 Low 8.482429e-01 1.517571e-01
## 618 Low 9.999992e-01 7.774012e-07
## 624 Low 9.548460e-01 4.515403e-02
## 626 Low 8.951432e-07 9.999991e-01
## 627 Low 9.999958e-01 4.178262e-06
## 634 Low 9.680823e-01 3.191774e-02
## 640 Low 1.000000e+00 7.032587e-14
## 642 Low 1.382852e-09 1.000000e+00
## 643 Low 3.033635e-04 9.996966e-01
## 644 Low 9.988343e-01 1.165673e-03
## 645 Low 1.000000e+00 3.962132e-08
## 646 Low 9.992822e-01 7.178371e-04
## 647 Low 1.000000e+00 2.977842e-20
## 652 Low 1.381426e-06 9.999986e-01
## 658 Low 1.000000e+00 1.969600e-11
## 659 Low 9.998991e-01 1.009193e-04
## 660 Low 1.000000e+00 4.116921e-11
## 664 Low 1.806239e-01 8.193761e-01
## 666 Low 1.000000e+00 2.145719e-12
## 667 Low 1.000000e+00 1.268306e-14
## 675 Low 4.539644e-03 9.954604e-01
## 680 Low 1.000000e+00 1.301625e-18
## 681 Low 9.622303e-01 3.776968e-02
## 687 Low 8.802245e-01 1.197755e-01
## 694 Low 9.999997e-01 3.043066e-07
## 697 Low 1.000000e+00 1.741707e-14
## 701 Low 3.682376e-05 9.999632e-01
## 705 Low 1.000000e+00 7.111946e-13
## 707 Low 2.250327e-01 7.749673e-01
## 710 Low 1.000000e+00 2.909279e-08
## 716 Low 9.999999e-01 1.183748e-07
## 719 Low 9.999650e-01 3.502423e-05
## 720 Low 1.000000e+00 2.878200e-12
## 725 Low 1.000000e+00 2.736921e-12
## 727 Low 8.048301e-06 9.999920e-01
## 730 Low 1.000000e+00 5.518936e-25
## 738 Low 9.996194e-01 3.805966e-04
## 745 Low 5.152225e-01 4.847775e-01
## 748 Low 1.349340e-02 9.865066e-01
## 751 Low 1.000000e+00 3.215821e-11
## 756 Low 1.000000e+00 8.871037e-11
## 766 Low 9.979852e-01 2.014818e-03
## 769 Low 1.000000e+00 3.821915e-16
## 783 Low 1.000000e+00 3.950841e-15
## 785 Low 1.000000e+00 1.822996e-08
## 790 Low 1.000000e+00 1.764736e-13
## 793 Low 9.980992e-01 1.900826e-03
## 795 Low 1.000000e+00 1.730572e-14
## 796 Low 1.000000e+00 7.804220e-13
## 797 Low 9.820198e-01 1.798018e-02
## 801 Low 1.000000e+00 4.135155e-18
## 811 Low 1.000000e+00 6.317191e-24
## 812 Low 1.000000e+00 5.366420e-11
## 815 Low 1.000000e+00 2.314690e-09
## 816 Low 1.000000e+00 8.814549e-16
## 817 Low 1.000000e+00 9.133178e-12
## 824 Low 1.000000e+00 1.996744e-21
## 825 Low 1.000000e+00 8.201293e-22
## 826 Low 1.000000e+00 1.170412e-19
## 830 Low 9.999966e-01 3.448913e-06
## 837 Low 9.999995e-01 5.441761e-07
## 838 Low 1.000000e+00 6.678992e-14
## 844 Low 9.999993e-01 6.850550e-07
## 845 Low 1.000000e+00 1.967339e-10
## 847 Low 1.000000e+00 2.967574e-22
## 850 Low 1.000000e+00 7.031151e-26
## 852 Low 1.000000e+00 5.197849e-34
## 853 Low 1.000000e+00 1.285701e-32
## 861 Low 1.000000e+00 2.652783e-41
## 868 Low 1.000000e+00 1.919862e-16
## 874 Low 1.000000e+00 1.327751e-53
## 879 High 2.956321e-10 1.000000e+00
## 895 High 1.470326e-14 1.000000e+00
## 899 High 3.385981e-21 1.000000e+00
## 903 High 7.518799e-14 1.000000e+00
## 917 High 1.712196e-09 1.000000e+00
## 927 High 6.248833e-14 1.000000e+00
## 929 High 3.451424e-12 1.000000e+00
## 931 High 4.725543e-12 1.000000e+00
## 933 High 9.097195e-01 9.028051e-02
## 944 High 1.846048e-04 9.998154e-01
## 947 High 1.690710e-11 1.000000e+00
## 949 High 2.315612e-07 9.999998e-01
## 953 High 7.734168e-14 1.000000e+00
## 958 High 3.199961e-01 6.800039e-01
## 961 High 1.932456e-10 1.000000e+00
## 963 High 1.668592e-07 9.999998e-01
## 964 High 9.024263e-11 1.000000e+00
## 973 High 9.911857e-07 9.999990e-01
## 976 High 1.528087e-08 1.000000e+00
## 977 High 3.583251e-04 9.996417e-01
## 980 High 1.320632e-01 8.679368e-01
## 983 High 8.106142e-02 9.189386e-01
## 984 High 9.278369e-05 9.999072e-01
## 986 High 2.337792e-08 1.000000e+00
## 989 High 1.004199e-11 1.000000e+00
## 991 High 8.467073e-11 1.000000e+00
## 996 High 1.027637e-10 1.000000e+00
## 997 High 8.473551e-01 1.526449e-01
## 999 High 9.987976e-01 1.202435e-03
## 1000 High 4.480506e-08 1.000000e+00
## 1003 High 1.751854e-10 1.000000e+00
## 1008 High 1.829140e-07 9.999998e-01
## 1009 High 4.481990e-09 1.000000e+00
## 1014 High 1.374653e-08 1.000000e+00
## 1015 High 8.448272e-05 9.999155e-01
## 1040 High 4.688915e-05 9.999531e-01
## 1042 High 2.821302e-04 9.997179e-01
## 1043 High 9.999978e-01 2.168049e-06
## 1050 High 1.806202e-06 9.999982e-01
## 1052 High 1.651919e-01 8.348081e-01
## 1056 High 5.730803e-07 9.999994e-01
## 1070 High 7.173292e-02 9.282671e-01
## 1073 High 9.999956e-01 4.405921e-06
## 1074 High 3.598259e-06 9.999964e-01
## 1079 High 3.207395e-08 1.000000e+00
## 1080 High 8.409607e-04 9.991590e-01
## 1085 High 9.996070e-01 3.930446e-04
## 1087 High 1.460034e-01 8.539966e-01
## 1096 High 1.000000e+00 6.411628e-09
## 1099 High 6.012363e-01 3.987637e-01
## 1100 High 1.811717e-04 9.998188e-01
## 1102 High 1.829295e-11 1.000000e+00
## 1107 Low 6.548054e-05 9.999345e-01
## 1109 Low 9.996320e-01 3.679754e-04
## 1114 Low 2.276602e-04 9.997723e-01
## 1118 Low 8.925095e-01 1.074905e-01
## 1123 Low 1.000000e+00 6.204119e-09
## 1132 Low 4.821842e-01 5.178158e-01
## 1134 Low 9.112545e-03 9.908875e-01
## 1137 Low 9.999991e-01 8.593389e-07
## 1154 Low 9.999425e-01 5.749553e-05
## 1155 Low 3.591183e-04 9.996409e-01
## 1157 Low 9.999999e-01 1.207967e-07
## 1162 Low 6.090085e-03 9.939099e-01
## 1164 Low 2.940110e-10 1.000000e+00
## 1171 Low 1.000000e+00 7.521191e-11
## 1172 Low 1.000000e+00 4.427012e-14
## 1175 Low 9.807048e-01 1.929515e-02
## 1177 Low 1.424471e-04 9.998576e-01
## 1179 Low 1.000000e+00 7.221229e-21
## 1183 Low 1.894181e-05 9.999811e-01
## 1185 Low 1.000000e+00 3.476284e-10
## 1189 Low 9.999975e-01 2.496675e-06
## 1211 Low 9.996911e-01 3.088793e-04
## 1218 Low 1.000000e+00 3.348881e-15
## 1224 Low 1.000000e+00 5.537053e-10
## 1225 Low 2.729124e-03 9.972709e-01
## 1227 Low 1.000000e+00 2.185986e-13
## 1232 Low 1.000000e+00 1.750445e-13
## 1235 Low 9.999437e-01 5.632486e-05
## 1238 Low 1.000000e+00 5.638167e-10
## 1240 Low 1.000000e+00 5.460272e-10
## 1241 Low 9.982659e-01 1.734119e-03
## 1248 Low 9.999829e-01 1.706585e-05
## 1258 Low 1.000000e+00 1.058522e-13
## 1261 Low 1.000000e+00 1.176989e-44
## 1263 Low 1.000000e+00 3.209935e-19
## 1269 Low 1.000000e+00 4.191854e-12
## 1270 Low 1.000000e+00 1.776959e-14
## 1271 Low 1.000000e+00 1.524365e-27
## 1272 Low 1.000000e+00 5.280803e-33
## 1280 Low 1.000000e+00 1.491056e-51
## 1286 Low 1.000000e+00 2.499037e-14
## 1287 Low 1.000000e+00 7.501795e-16
## 1289 Low 1.000000e+00 1.073174e-74
## 1290 Low 1.000000e+00 1.144887e-34
## 1291 High 6.868184e-07 9.999993e-01
## 1294 High 9.974144e-01 2.585565e-03
## 1305 Low 1.000000e+00 5.562553e-10
## 1308 High 9.999936e-01 6.369129e-06##################################
# Reporting the independent evaluation results
# for the test set
##################################
NB_Test_ROC <- roc(response = NB_Test$NB_Observed,
predictor = NB_Test$NB_Predicted.High,
levels = rev(levels(NB_Test$NB_Observed)))
(NB_Test_ROCCurveAUC <- auc(NB_Test_ROC)[1])## [1] 0.88560571.5.6 Nearest Shrunken Centroids (NSC)
Nearest Shrunken Centroids involve first summarizing the training dataset into a set of centroids, then using the centroids to make predictions for new instances. The algorithm shrinks the centroids of each input variable towards the centroid of the entire training data set. Those variables that are shrunk down to the value of the data centroid can then be removed as they do not help to discriminate between the class labels. The centroids in the input feature space are different for each target label which then represents the model. Given new instances, the distance between a given row of data and each centroid is calculated and the closest centroid is used to assign a class label to the example.
[A] The nearest shrunken centroids model from the pamr package was implemented through the caret package.
[B] The model contains 1 hyperparameter:
[B.1] threshold = shrinkage threshold made to vary across a range of values equal to 0 to 25
[C] The cross-validated model performance of the final model is summarized as follows:
[C.1] Final model configuration involves threshold=0
[C.2] AUROC = 0.86622
[D] The model allows for ranking of predictors in terms of variable importance. The top-performing predictors in the model are as follows:
[D.1] MolWeight variable (numeric)
[D.2] NumCarbon variable (numeric)
[D.3] NumBonds variable (numeric)
[D.4] FP076 variable (factor)
[D.5] NumRings variable (numeric)
[E] The independent test model performance of the final model is summarized as follows:
[E.1] AUROC = 0.88771
Code Chunk | Output
##################################
# Transforming factor predictors
# as required by the nature of the model
##################################
# Creating a local object
# for the train and test sets
##################################
PMA_PreModelling_Train_NSC <- as.data.frame(lapply(PMA_PreModelling_Train[,!names(PMA_PreModelling_Train) %in%
c("Log_Solubility_Class")],
function(x) as.numeric(as.character(x))))
PMA_PreModelling_Train_NSC$Log_Solubility_Class <- PMA_PreModelling_Train$Log_Solubility_Class
dim(PMA_PreModelling_Train_NSC)## [1] 951 221PMA_PreModelling_Test_NSC <- as.data.frame(lapply(PMA_PreModelling_Test[,!names(PMA_PreModelling_Test) %in%
c("Log_Solubility_Class")],
function(x) as.numeric(as.character(x))))
PMA_PreModelling_Test_NSC$Log_Solubility_Class <- PMA_PreModelling_Test$Log_Solubility_Class
dim(PMA_PreModelling_Test_NSC)## [1] 316 221##################################
# Creating consistent fold assignments
# for the 10-Fold Cross Validation process
##################################
set.seed(12345678)
KFold_Indices <- createFolds(PMA_PreModelling_Train_NSC$Log_Solubility_Class,
k = 10,
returnTrain=TRUE)
KFold_Control <- trainControl(method="cv",
index=KFold_Indices,
summaryFunction = twoClassSummary,
classProbs = TRUE)
##################################
# Setting the conditions
# for hyperparameter tuning
##################################
NSC_Grid = data.frame(threshold = seq(0, 8, length = 9))
##################################
# Running the nearest shrunken centroids model
# by setting the caret method to 'pam'
##################################
set.seed(12345678)
NSC_Tune <- train(x = PMA_PreModelling_Train_NSC[,!names(PMA_PreModelling_Train_NSC) %in% c("Log_Solubility_Class")],
y = PMA_PreModelling_Train_NSC$Log_Solubility_Class,
method = "pam",
tuneGrid = NSC_Grid,
metric = "ROC",
preProc = c("center", "scale"),
trControl = KFold_Control)## 11111111111##################################
# Reporting the cross-validation results
# for the train set
##################################
NSC_Tune## Nearest Shrunken Centroids
##
## 951 samples
## 220 predictors
## 2 classes: 'Low', 'High'
##
## Pre-processing: centered (220), scaled (220)
## Resampling: Cross-Validated (10 fold)
## Summary of sample sizes: 857, 855, 857, 855, 856, 856, ...
## Resampling results across tuning parameters:
##
## threshold ROC Sens Spec
## 0 0.8662268 0.73289037 0.8111756
## 1 0.8506061 0.75874862 0.7864296
## 2 0.8423625 0.75642303 0.7920900
## 3 0.8452235 0.74939092 0.7977141
## 4 0.8496146 0.69335548 0.8473149
## 5 0.8482607 0.63283499 0.8854499
## 6 0.8523256 0.51306755 0.9160377
## 7 0.8567815 0.25027685 0.9770682
## 8 0.8600584 0.01168328 0.9961901
##
## ROC was used to select the optimal model using the largest value.
## The final value used for the model was threshold = 0.NSC_Tune$finalModel## $y
## [1] Low Low Low Low Low Low Low Low Low Low Low Low Low Low Low
## [16] Low Low Low Low Low Low Low Low Low Low Low Low Low Low Low
## [31] Low Low Low Low Low Low Low Low Low Low Low Low Low Low Low
## [46] Low Low Low Low Low Low Low Low Low Low Low Low Low Low Low
## [61] Low Low Low Low Low Low Low Low Low Low Low Low Low Low Low
## [76] Low Low Low Low Low Low Low Low Low Low Low Low Low Low Low
## [91] Low Low Low Low Low Low Low Low Low Low Low Low Low Low Low
## [106] Low Low Low Low Low Low Low Low Low Low Low Low Low Low Low
## [121] Low Low Low Low Low Low Low Low Low Low Low Low Low Low Low
## [136] Low Low Low Low Low Low Low Low Low Low Low Low Low Low Low
## [151] Low Low Low Low Low Low Low Low Low Low Low Low Low Low Low
## [166] Low Low Low Low Low Low Low Low Low Low Low Low Low Low Low
## [181] Low Low Low Low Low Low Low Low Low Low Low Low Low Low Low
## [196] Low Low Low Low Low Low Low Low Low Low Low Low Low Low Low
## [211] Low Low Low Low Low Low Low Low Low Low Low Low Low Low Low
## [226] Low Low Low Low Low Low Low Low Low Low Low Low Low High High
## [241] High High High High High High High High High High High High High High High
## [256] High High High High High High High High High High High High High High Low
## [271] Low Low Low Low Low Low Low Low Low Low Low Low Low Low Low
## [286] Low Low Low Low Low Low Low Low Low Low Low Low Low Low Low
## [301] Low Low Low Low Low Low Low Low Low Low Low Low Low Low Low
## [316] Low Low Low Low Low Low Low Low Low Low Low Low Low Low Low
## [331] Low Low Low Low Low Low Low Low Low Low Low Low Low Low Low
## [346] Low Low Low Low Low Low Low Low Low Low Low Low Low Low Low
## [361] Low Low Low Low Low Low Low Low Low Low Low Low Low Low Low
## [376] Low Low Low Low Low Low Low Low Low Low Low Low Low Low Low
## [391] Low Low Low Low Low High High High High High High High High High High
## [406] High High High High High High High High Low Low Low Low Low Low Low
## [421] Low Low Low Low Low Low Low Low Low Low Low Low Low Low Low
## [436] Low Low Low Low Low Low Low Low Low Low Low Low Low Low Low
## [451] Low Low Low Low Low Low Low Low Low Low Low Low Low Low Low
## [466] Low Low Low Low Low Low Low Low Low Low Low High High High High
## [481] High High High High High High High High High High High High High High High
## [496] High High High High High High High High High High High High High High High
## [511] High High High High High High High High High High High High High High High
## [526] High High High High High High High High High High High High High High High
## [541] High High High High High High High High High High High High High High High
## [556] High High High High High High High High High High High High High High High
## [571] High High High High High High High High High High High High High High High
## [586] High High High High High High High High High High High High High High High
## [601] High High High High High High High High High High High High High High High
## [616] High High High High High High High High High High High High High High High
## [631] High High High High High High High High High High High High High High High
## [646] High High High High High High High High High High High High High High High
## [661] High High High High High High High High High High High High High High High
## [676] High High High High High High High High High High High High High High High
## [691] High High High High High High High High High High High High High High High
## [706] High High High High High High High High High High High High High High High
## [721] High High High High High High High High High High High High High High High
## [736] High High High High High High High High High High High High High High High
## [751] High High High High High High High High High High High High High High High
## [766] High High High High High High High High High High High High High High High
## [781] High High High High High High High High High High High High High High High
## [796] High High High High High High High High High High High High High High High
## [811] High High High High High High High High High High High High High High High
## [826] High High High High High High High High High High High High High High High
## [841] High High High High High High High High High High High High High High High
## [856] High High High High High High High High High High High High High High High
## [871] High High High High High High High High High High High High High High High
## [886] High High High High High High High High High High High High High High High
## [901] High High High High High High High High High High High High High High High
## [916] High High High High High High High High High High High High High High High
## [931] High High High High High High High High High High High High High High High
## [946] High High High High High High
## Levels: Low High
##
## $proby
## NULL
##
## $yhat
## [1] Low Low High Low Low High Low High Low Low Low Low Low Low High
## [16] Low Low Low Low Low Low Low Low Low Low Low Low Low High Low
## [31] High High High Low Low Low High Low Low Low Low Low Low Low Low
## [46] Low High Low Low Low Low High Low High Low Low Low Low Low Low
## [61] High High Low Low Low High Low Low High Low Low High Low High Low
## [76] Low Low Low Low Low Low Low Low Low Low High High Low Low High
## [91] Low Low Low High Low Low High Low Low Low Low Low High Low Low
## [106] Low Low Low High Low Low Low High Low Low Low High Low Low Low
## [121] Low Low Low Low Low Low Low Low Low Low Low Low Low Low Low
## [136] Low Low Low Low Low Low Low Low Low Low Low Low Low Low Low
## [151] Low Low Low Low Low Low Low Low Low Low High Low High Low Low
## [166] High Low High High Low Low High Low Low High Low Low Low Low Low
## [181] Low Low Low Low Low Low High Low Low Low Low Low Low Low Low
## [196] Low Low High High Low Low Low Low Low Low Low Low Low Low Low
## [211] Low Low Low Low Low Low Low Low High Low High Low Low Low Low
## [226] Low Low Low Low Low Low Low Low Low High Low Low Low Low Low
## [241] High Low High Low Low Low Low High High Low High Low High Low Low
## [256] High High High High Low Low High High Low High High Low High Low High
## [271] Low Low High Low High High Low High Low Low High Low High Low Low
## [286] Low Low High Low Low High Low Low High Low Low High Low Low High
## [301] Low High High Low Low Low Low Low Low Low High Low High High High
## [316] Low High Low Low Low Low Low Low High High Low High High High Low
## [331] Low Low Low Low High High Low Low High Low High High Low Low Low
## [346] High Low Low High Low High High Low Low High High Low High High Low
## [361] High Low Low High Low Low Low High Low Low Low High Low Low Low
## [376] Low Low Low High High Low Low Low Low Low Low Low Low Low Low
## [391] Low Low High Low High High High High Low Low Low High Low High High
## [406] High High High Low Low Low Low High High High Low Low High High Low
## [421] High Low Low Low Low Low High Low Low High Low Low High Low High
## [436] Low Low Low High Low Low Low Low High High Low High High Low Low
## [451] High Low Low Low Low Low High Low Low Low Low High Low Low High
## [466] High Low Low High Low Low High Low Low Low High High High Low High
## [481] High High Low High High High High High High Low High High High Low High
## [496] Low High Low High High High Low High High High Low High High High High
## [511] Low High High High High High High High High High High Low Low Low High
## [526] High High High High Low High High High High High Low High High High High
## [541] High Low High High High Low High High High Low Low High Low High High
## [556] High Low High High High High High High Low High High High High High High
## [571] High Low High High Low High High Low High High High Low High Low High
## [586] High High High High High Low High Low Low High High High High Low High
## [601] Low High Low Low High Low High Low Low High Low High High High Low
## [616] Low High High High High High High High High High High Low High High High
## [631] Low High High Low High Low Low Low High Low High High High High Low
## [646] High High High High High High High High High High High High High High High
## [661] High High High High Low High High Low Low High Low Low High High High
## [676] High Low High High Low High High Low High High High Low High Low High
## [691] High High High Low Low High Low High Low Low High High High High High
## [706] High High High Low High High High High Low High High High High High High
## [721] High High High High High High High High High High High High High High High
## [736] High High High High High High High High High High High High High High High
## [751] High High High High High High High High High High High High High High High
## [766] High High High High High High High High High High High High High High High
## [781] High High High High High High High High High High High High High High High
## [796] High High High High High High High High Low Low High High High High High
## [811] High High High High High High High High High High High High High High High
## [826] High High High High High High High High High High High High High High High
## [841] High High High High High High High High High High High High High High High
## [856] High High High High High High High High High High High High High High Low
## [871] High High High High High High High High High High High High High Low High
## [886] High High High High High High High High High High High High High High High
## [901] High High High High High High High High High High High High High High High
## [916] High High High High High High High High High High High High Low High High
## [931] High High High High High High High Low High High High High Low High High
## [946] High High High High High High
## Levels: Low High
##
## $prob
## Low High
## 1 8.699589e-01 1.300411e-01
## 2 9.974941e-01 2.505920e-03
## 3 1.167866e-01 8.832134e-01
## 4 6.293581e-01 3.706419e-01
## 5 7.324960e-01 2.675040e-01
## 6 1.443274e-01 8.556726e-01
## 7 9.999888e-01 1.121370e-05
## 8 5.774387e-02 9.422561e-01
## 9 9.971725e-01 2.827476e-03
## 10 7.627095e-01 2.372905e-01
## 11 9.472269e-01 5.277310e-02
## 12 9.919732e-01 8.026760e-03
## 13 8.712675e-01 1.287325e-01
## 14 9.984914e-01 1.508559e-03
## 15 3.832745e-01 6.167255e-01
## 16 7.297791e-01 2.702209e-01
## 17 8.814405e-01 1.185595e-01
## 18 9.999441e-01 5.591890e-05
## 19 9.604377e-01 3.956235e-02
## 20 8.982073e-01 1.017927e-01
## 21 9.997357e-01 2.642965e-04
## 22 9.974553e-01 2.544725e-03
## 23 9.805220e-01 1.947800e-02
## 24 5.932668e-01 4.067332e-01
## 25 8.013645e-01 1.986355e-01
## 26 9.076178e-01 9.238220e-02
## 27 9.943035e-01 5.696531e-03
## 28 8.896172e-01 1.103828e-01
## 29 2.988321e-01 7.011679e-01
## 30 9.702182e-01 2.978176e-02
## 31 6.582566e-02 9.341743e-01
## 32 7.310963e-03 9.926890e-01
## 33 1.223564e-01 8.776436e-01
## 34 9.008393e-01 9.916066e-02
## 35 9.452398e-01 5.476020e-02
## 36 7.988814e-01 2.011186e-01
## 37 1.223564e-01 8.776436e-01
## 38 8.819118e-01 1.180882e-01
## 39 7.539727e-01 2.460273e-01
## 40 9.268710e-01 7.312900e-02
## 41 9.940037e-01 5.996253e-03
## 42 9.670456e-01 3.295439e-02
## 43 9.930164e-01 6.983639e-03
## 44 9.999876e-01 1.237080e-05
## 45 5.777222e-01 4.222778e-01
## 46 9.977323e-01 2.267728e-03
## 47 5.776329e-02 9.422367e-01
## 48 8.193337e-01 1.806663e-01
## 49 9.983449e-01 1.655107e-03
## 50 9.912773e-01 8.722708e-03
## 51 9.348570e-01 6.514298e-02
## 52 3.364169e-02 9.663583e-01
## 53 9.990314e-01 9.686035e-04
## 54 4.159893e-01 5.840107e-01
## 55 9.680095e-01 3.199052e-02
## 56 9.928524e-01 7.147587e-03
## 57 5.016194e-01 4.983806e-01
## 58 9.203691e-01 7.963090e-02
## 59 9.990290e-01 9.709800e-04
## 60 9.997070e-01 2.930098e-04
## 61 3.027972e-02 9.697203e-01
## 62 4.501935e-02 9.549806e-01
## 63 9.805641e-01 1.943592e-02
## 64 9.562008e-01 4.379923e-02
## 65 6.014324e-01 3.985676e-01
## 66 2.623996e-02 9.737600e-01
## 67 9.999808e-01 1.918652e-05
## 68 9.993622e-01 6.377895e-04
## 69 7.376419e-02 9.262358e-01
## 70 9.989164e-01 1.083605e-03
## 71 8.839804e-01 1.160196e-01
## 72 9.721255e-02 9.027875e-01
## 73 8.596897e-01 1.403103e-01
## 74 1.477776e-01 8.522224e-01
## 75 9.988833e-01 1.116665e-03
## 76 9.978114e-01 2.188564e-03
## 77 9.547496e-01 4.525040e-02
## 78 9.953678e-01 4.632184e-03
## 79 9.268544e-01 7.314560e-02
## 80 9.817911e-01 1.820886e-02
## 81 9.996775e-01 3.225230e-04
## 82 8.416500e-01 1.583500e-01
## 83 9.999764e-01 2.355409e-05
## 84 9.848314e-01 1.516863e-02
## 85 9.278037e-01 7.219630e-02
## 86 8.244141e-02 9.175586e-01
## 87 1.036134e-01 8.963866e-01
## 88 7.069954e-01 2.930046e-01
## 89 9.999544e-01 4.555808e-05
## 90 3.408565e-01 6.591435e-01
## 91 7.071285e-01 2.928715e-01
## 92 8.860820e-01 1.139180e-01
## 93 7.879768e-01 2.120232e-01
## 94 4.610531e-01 5.389469e-01
## 95 9.230595e-01 7.694054e-02
## 96 9.173402e-01 8.265982e-02
## 97 4.937379e-02 9.506262e-01
## 98 9.998529e-01 1.470728e-04
## 99 9.978219e-01 2.178092e-03
## 100 9.992717e-01 7.283008e-04
## 101 9.997697e-01 2.302511e-04
## 102 9.995748e-01 4.252025e-04
## 103 4.382218e-02 9.561778e-01
## 104 9.729789e-01 2.702107e-02
## 105 9.549564e-01 4.504357e-02
## 106 9.316715e-01 6.832853e-02
## 107 9.720514e-01 2.794855e-02
## 108 9.964530e-01 3.547050e-03
## 109 1.635157e-01 8.364843e-01
## 110 9.904890e-01 9.510991e-03
## 111 9.460597e-01 5.394028e-02
## 112 9.922127e-01 7.787288e-03
## 113 8.307078e-02 9.169292e-01
## 114 9.976228e-01 2.377208e-03
## 115 9.999001e-01 9.990477e-05
## 116 9.972477e-01 2.752311e-03
## 117 3.821735e-02 9.617826e-01
## 118 9.997147e-01 2.853031e-04
## 119 9.653239e-01 3.467614e-02
## 120 9.655711e-01 3.442885e-02
## 121 9.933516e-01 6.648368e-03
## 122 9.996442e-01 3.558350e-04
## 123 9.905532e-01 9.446820e-03
## 124 9.998981e-01 1.019201e-04
## 125 9.992348e-01 7.652482e-04
## 126 9.999468e-01 5.320717e-05
## 127 9.997353e-01 2.647380e-04
## 128 9.981713e-01 1.828719e-03
## 129 9.998995e-01 1.004648e-04
## 130 9.929388e-01 7.061178e-03
## 131 9.720667e-01 2.793327e-02
## 132 9.999468e-01 5.320717e-05
## 133 9.627510e-01 3.724899e-02
## 134 9.992760e-01 7.239693e-04
## 135 9.360270e-01 6.397305e-02
## 136 9.998587e-01 1.413211e-04
## 137 9.998607e-01 1.392641e-04
## 138 9.938333e-01 6.166724e-03
## 139 9.995867e-01 4.133090e-04
## 140 9.783209e-01 2.167907e-02
## 141 9.999437e-01 5.629470e-05
## 142 9.998587e-01 1.413211e-04
## 143 9.997070e-01 2.930240e-04
## 144 9.999437e-01 5.629470e-05
## 145 9.998607e-01 1.392641e-04
## 146 9.992423e-01 7.577336e-04
## 147 9.997492e-01 2.508415e-04
## 148 9.983847e-01 1.615269e-03
## 149 9.971250e-01 2.875042e-03
## 150 9.997342e-01 2.658425e-04
## 151 9.914991e-01 8.500858e-03
## 152 9.980323e-01 1.967664e-03
## 153 9.996683e-01 3.316672e-04
## 154 9.999057e-01 9.434358e-05
## 155 9.997377e-01 2.623170e-04
## 156 9.851647e-01 1.483526e-02
## 157 9.996862e-01 3.137723e-04
## 158 9.998093e-01 1.907458e-04
## 159 9.992489e-01 7.510925e-04
## 160 6.819432e-01 3.180568e-01
## 161 1.009653e-01 8.990347e-01
## 162 9.932251e-01 6.774919e-03
## 163 4.041397e-01 5.958603e-01
## 164 9.948870e-01 5.112961e-03
## 165 9.760484e-01 2.395158e-02
## 166 4.023824e-01 5.976176e-01
## 167 7.907842e-01 2.092158e-01
## 168 1.534382e-01 8.465618e-01
## 169 8.122281e-02 9.187772e-01
## 170 9.972646e-01 2.735371e-03
## 171 9.987314e-01 1.268592e-03
## 172 3.023663e-02 9.697634e-01
## 173 9.753960e-01 2.460395e-02
## 174 8.570834e-01 1.429166e-01
## 175 1.246935e-01 8.753065e-01
## 176 9.908600e-01 9.139962e-03
## 177 9.983113e-01 1.688729e-03
## 178 7.980045e-01 2.019955e-01
## 179 8.900458e-01 1.099542e-01
## 180 9.942256e-01 5.774422e-03
## 181 9.959907e-01 4.009325e-03
## 182 9.981176e-01 1.882380e-03
## 183 9.247515e-01 7.524853e-02
## 184 9.995188e-01 4.811714e-04
## 185 5.489971e-01 4.510029e-01
## 186 9.996598e-01 3.402057e-04
## 187 8.305519e-02 9.169448e-01
## 188 9.981196e-01 1.880440e-03
## 189 9.997721e-01 2.278881e-04
## 190 8.869726e-01 1.130274e-01
## 191 9.961562e-01 3.843806e-03
## 192 9.340745e-01 6.592553e-02
## 193 7.653128e-01 2.346872e-01
## 194 9.874520e-01 1.254796e-02
## 195 9.439597e-01 5.604033e-02
## 196 9.970510e-01 2.948998e-03
## 197 9.829366e-01 1.706345e-02
## 198 1.906441e-01 8.093559e-01
## 199 1.615757e-01 8.384243e-01
## 200 9.985491e-01 1.450892e-03
## 201 6.951590e-01 3.048410e-01
## 202 9.978549e-01 2.145085e-03
## 203 9.985526e-01 1.447355e-03
## 204 9.993077e-01 6.922929e-04
## 205 9.768149e-01 2.318506e-02
## 206 9.109660e-01 8.903402e-02
## 207 9.976885e-01 2.311464e-03
## 208 9.990121e-01 9.879440e-04
## 209 9.641627e-01 3.583725e-02
## 210 9.668077e-01 3.319227e-02
## 211 9.998875e-01 1.124680e-04
## 212 9.933516e-01 6.648368e-03
## 213 9.998114e-01 1.886305e-04
## 214 9.994555e-01 5.445052e-04
## 215 9.930495e-01 6.950459e-03
## 216 9.998995e-01 1.004648e-04
## 217 9.998427e-01 1.573410e-04
## 218 9.822359e-01 1.776410e-02
## 219 6.123348e-02 9.387665e-01
## 220 9.997337e-01 2.663341e-04
## 221 5.370968e-02 9.462903e-01
## 222 9.971481e-01 2.851926e-03
## 223 9.873651e-01 1.263487e-02
## 224 9.999251e-01 7.490767e-05
## 225 9.952579e-01 4.742068e-03
## 226 9.720667e-01 2.793327e-02
## 227 9.998219e-01 1.781312e-04
## 228 9.999057e-01 9.434358e-05
## 229 9.980719e-01 1.928119e-03
## 230 9.811105e-01 1.888953e-02
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##
## $centroids
## Low High
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## FP076 0.4980955784 -0.4058908626
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## FP079 0.3463924370 -0.2822701729
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## FP108 -0.0032188400 0.0026229860
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## FP110 -0.0694634130 0.0566047277
## FP111 0.0237735643 -0.0193727327
## FP112 0.3898869206 -0.3177131967
## FP113 -0.0797493581 0.0649865953
## FP114 0.0616511082 -0.0502385939
## FP115 0.0285282062 -0.0232472215
## FP116 -0.0306812229 0.0250016836
## FP117 0.1079459529 -0.0879635914
## FP118 -0.0544320109 0.0443558562
## FP119 -0.0227834972 0.0185659414
## FP120 -0.0562343635 0.0458245672
## FP121 0.1166372655 -0.0950460160
## FP122 0.0060417352 -0.0049233224
## FP123 0.1543668524 -0.1257913091
## FP124 -0.0326977684 0.0266449372
## FP125 -0.0287478846 0.0234262342
## FP126 -0.0020362867 0.0016593405
## FP127 -0.0655783019 0.0534388071
## FP128 -0.0613171651 0.0499664685
## FP129 0.1268166278 -0.1033410307
## FP130 0.0694377724 -0.0565838336
## FP131 0.0078940912 -0.0064327805
## FP132 -0.1233145899 0.1004872707
## FP133 -0.0203022685 0.0165440241
## FP134 0.1030500971 -0.0839740295
## FP135 0.0078940912 -0.0064327805
## FP136 -0.0117387541 0.0095657404
## FP137 0.0922870893 -0.0752034105
## FP138 0.0773966331 -0.0630693938
## FP139 0.0339332602 -0.0276517216
## FP140 -0.0564832745 0.0460274012
## FP141 0.1251015502 -0.1019434388
## FP142 0.0322795178 -0.0263041109
## FP143 0.0465668058 -0.0379466147
## FP144 -0.0801030339 0.0652748005
## FP145 -0.0494448247 0.0402918705
## FP146 0.2078579157 -0.1693804007
## FP147 -0.0221295790 0.0180330729
## FP148 -0.0353880639 0.0288372200
## FP149 0.2479928432 -0.2020857711
## FP150 -0.0145471113 0.0118542300
## FP151 -0.0183362123 0.0149419135
## FP152 0.0595244818 -0.0485056369
## FP153 0.0766659123 -0.0624739400
## FP155 0.1875792705 -0.1528556269
## FP156 0.0815597691 -0.0664618729
## FP157 0.0146415528 -0.0119311890
## FP158 -0.0716815461 0.0584122523
## FP159 0.0724131488 -0.0590084247
## FP160 0.0075591303 -0.0061598257
## FP161 -0.1721041991 0.1402452157
## FP162 0.2505609080 -0.2041784499
## FP163 -0.0721622323 0.0588039564
## FP164 0.3096358948 -0.2523177998
## FP165 -0.0347078579 0.0282829300
## FP166 0.1669255120 -0.1360251787
## FP167 -0.0403232212 0.0328588081
## FP168 0.3362987807 -0.2740449988
## FP169 0.3279270138 -0.2672229674
## FP170 0.1173359826 -0.0956153904
## FP171 -0.0954292679 0.0777639263
## FP172 0.3613894991 -0.2944910613
## FP173 0.1501296828 -0.1223385011
## FP174 0.0787146283 -0.0641434089
## FP175 0.0104786270 -0.0085388812
## FP176 -0.0006016742 0.0004902956
## FP177 0.0241569215 -0.0196851250
## FP178 0.1246648132 -0.1015875481
## FP179 0.0649559914 -0.0529316953
## FP180 -0.0589874279 0.0480679994
## FP181 0.2012291565 -0.1639787211
## FP182 -0.0329874939 0.0268810303
## FP183 -0.0648415590 0.0528384460
## FP184 0.2620896976 -0.2135730933
## FP185 0.1478416830 -0.1204740432
## FP186 -0.0244176229 0.0198975668
## FP187 0.0091940870 -0.0074921281
## FP188 -0.0759229295 0.0618684941
## FP189 0.0810931354 -0.0660816198
## FP190 0.2167299638 -0.1766101041
## FP191 -0.0190530545 0.0155260578
## FP192 0.0876178438 -0.0713985101
## FP193 0.2572219829 -0.2096064632
## FP194 -0.0213184372 0.0173720852
## FP195 -0.1471268054 0.1198914998
## FP196 0.2099093138 -0.1710520553
## FP197 0.1945447303 -0.1585316791
## FP198 -0.0834021806 0.0679632273
## FP201 -0.0676456763 0.0551234805
## FP202 0.1551879684 -0.1264604246
## FP203 0.0077804344 -0.0063401631
## FP204 0.1003397095 -0.0817653740
## FP205 0.1640452059 -0.1336780590
## FP206 0.1026221365 -0.0836252907
## FP207 0.2099093138 -0.1710520553
## FP208 0.0144952907 -0.0118120022
## MolWeight 0.6447051156 -0.5253608480
## NumBonds 0.5260886575 -0.4287020167
## NumMultBonds 0.4454402105 -0.3629827670
## NumRotBonds 0.2155583753 -0.1756553936
## NumDblBonds 0.0721770001 -0.0588159906
## NumCarbon 0.6263248530 -0.5103830386
## NumNitrogen -0.0297685707 0.0242579765
## NumOxygen -0.0340683964 0.0277618421
## NumSulfer 0.1197176427 -0.0975561707
## NumChlorine 0.3118792000 -0.2541458367
## NumHalogen 0.3385012880 -0.2758397900
## NumRings 0.4841073403 -0.3944920502
## HydrophilicFactor -0.2459914879 0.2004548957
## SurfaceArea1 -0.0922543563 0.0751767369
## SurfaceArea2 -0.0416827432 0.0339666629
## attr(,"scaled:scale")
## y
## Low High
## 427 524
##
## $centroid.overall
## FP001 FP002 FP003 FP004
## -4.705437e-16 -1.402958e-15 1.934217e-16 2.294172e-16
## FP005 FP006 FP007 FP008
## -6.214647e-16 9.907439e-16 5.334275e-17 -1.159012e-15
## FP009 FP010 FP011 FP012
## -4.640385e-17 6.791442e-16 1.633242e-15 -3.239596e-16
## FP013 FP014 FP015 FP016
## -3.102553e-15 1.393091e-15 9.418464e-16 1.322727e-16
## FP017 FP018 FP019 FP020
## -1.041810e-15 7.349807e-16 -8.597723e-17 3.003240e-17
## FP021 FP022 FP023 FP024
## -6.719343e-16 -5.159718e-16 7.218618e-16 1.539567e-16
## FP025 FP026 FP027 FP028
## 9.313297e-17 3.960591e-16 1.052652e-15 2.733274e-16
## FP029 FP030 FP031 FP032
## 1.552578e-16 -4.375840e-16 1.444157e-16 4.408366e-16
## FP033 FP034 FP035 FP036
## -1.088539e-16 -5.599904e-16 -7.623025e-16 -5.889386e-16
## FP037 FP038 FP039 FP040
## -3.302480e-16 -3.339343e-17 1.650589e-15 -4.930951e-16
## FP041 FP042 FP043 FP044
## -4.605691e-16 -2.959872e-17 -2.311519e-16 2.242997e-15
## FP045 FP046 FP047 FP048
## -5.824334e-16 6.767590e-16 -1.168770e-15 -3.003240e-17
## FP049 FP050 FP051 FP052
## 1.516040e-15 2.675811e-16 1.824929e-15 -4.484260e-16
## FP053 FP054 FP055 FP056
## 3.544474e-15 -5.811324e-16 -3.388132e-16 2.480546e-15
## FP057 FP058 FP059 FP060
## 3.263449e-17 9.096456e-17 9.394612e-16 -1.858323e-16
## FP061 FP062 FP063 FP064
## -4.835542e-17 4.475587e-16 -6.871673e-16 2.346214e-16
## FP065 FP066 FP067 FP068
## -1.193056e-15 1.216475e-16 1.830133e-16 5.702903e-17
## FP069 FP070 FP071 FP072
## 1.463673e-16 -2.798326e-15 -4.059253e-16 2.845814e-15
## FP073 FP074 FP075 FP076
## -1.244881e-15 4.247904e-16 3.881444e-17 2.500387e-15
## FP077 FP078 FP079 FP080
## 1.773755e-16 -2.452465e-16 2.216543e-15 -9.141993e-16
## FP081 FP082 FP083 FP084
## -1.537399e-16 2.721564e-15 -1.080082e-15 1.494031e-16
## FP085 FP086 FP087 FP088
## 2.658247e-15 -4.772658e-16 3.205335e-15 -6.761085e-16
## FP089 FP090 FP091 FP092
## 3.053981e-15 7.472321e-16 -4.013716e-16 -4.147073e-15
## FP093 FP094 FP095 FP096
## -8.133685e-16 1.071192e-16 2.760379e-16 -7.285839e-17
## FP097 FP098 FP099 FP100
## 1.474515e-16 -1.249001e-16 -1.209753e-15 -4.649059e-16
## FP101 FP102 FP103 FP104
## -4.039737e-16 5.848187e-16 -6.080206e-16 5.551115e-16
## FP105 FP106 FP107 FP108
## -6.364267e-16 -2.515349e-16 3.713176e-15 -1.448494e-16
## FP109 FP110 FP111 FP112
## -4.322714e-16 6.468350e-16 -2.294172e-16 -1.014813e-16
## FP113 FP114 FP115 FP116
## 6.722053e-18 2.267067e-16 -1.387779e-16 -3.538836e-16
## FP117 FP118 FP119 FP120
## 6.713380e-16 3.703635e-16 -1.642566e-16 7.003946e-16
## FP121 FP122 FP123 FP124
## -7.920097e-16 2.466560e-16 1.104694e-15 -2.550044e-16
## FP125 FP126 FP127 FP128
## 1.130823e-16 3.947580e-16 -1.943974e-16 3.726403e-16
## FP129 FP130 FP131 FP132
## 1.116837e-15 -3.095397e-16 -2.568475e-16 4.252241e-16
## FP133 FP134 FP135 FP136
## -2.671474e-16 -5.940344e-16 -9.757820e-19 -4.542807e-17
## FP137 FP138 FP139 FP140
## -4.975404e-16 4.098284e-16 9.028151e-16 3.577867e-16
## FP141 FP142 FP143 FP144
## 1.451421e-15 9.887924e-17 4.093947e-16 -8.455693e-16
## FP145 FP146 FP147 FP148
## -6.356677e-16 4.588344e-16 1.076613e-16 5.798313e-16
## FP149 FP150 FP151 FP152
## 1.992330e-15 -2.093594e-16 -4.627375e-16 7.657720e-16
## FP153 FP155 FP156 FP157
## -8.464366e-16 1.667937e-15 -1.018716e-15 2.547875e-17
## FP158 FP159 FP160 FP161
## -7.200187e-16 -1.192189e-15 -5.867702e-16 1.204332e-15
## FP162 FP163 FP164 FP165
## -2.772522e-15 -7.411606e-16 2.926045e-15 8.131516e-17
## FP166 FP167 FP168 FP169
## -2.318024e-16 7.153566e-16 -7.216450e-16 7.600257e-16
## FP170 FP171 FP172 FP173
## -7.988402e-16 -3.946496e-17 -4.204644e-15 -1.724207e-15
## FP174 FP175 FP176 FP177
## 2.221530e-16 1.591609e-16 -1.883259e-16 -3.477036e-16
## FP178 FP179 FP180 FP181
## -8.611818e-16 9.161508e-17 -4.895173e-16 2.442057e-15
## FP182 FP183 FP184 FP185
## 3.569194e-16 -5.906733e-16 8.999962e-16 3.469447e-17
## FP186 FP187 FP188 FP189
## 1.147086e-16 2.629190e-16 -3.100818e-16 4.855057e-16
## FP190 FP191 FP192 FP193
## -1.207259e-15 1.779176e-16 3.508478e-16 1.484815e-15
## FP194 FP195 FP196 FP197
## 3.686287e-18 3.113829e-16 -5.020940e-16 -4.578586e-16
## FP198 FP201 FP202 FP203
## 5.053466e-16 -3.663519e-16 2.016616e-17 -7.578573e-17
## FP204 FP205 FP206 FP207
## 3.733992e-16 8.880700e-16 -9.029236e-16 -1.758034e-15
## FP208 MolWeight NumBonds NumMultBonds
## 1.240327e-16 -2.558717e-17 -1.849595e-15 8.025264e-16
## NumRotBonds NumDblBonds NumCarbon NumNitrogen
## 3.115455e-16 -1.962406e-16 -4.016969e-16 -2.404760e-16
## NumOxygen NumSulfer NumChlorine NumHalogen
## 1.578056e-16 -7.041893e-16 -2.754199e-15 -1.854203e-15
## NumRings HydrophilicFactor SurfaceArea1 SurfaceArea2
## -8.287641e-16 5.627009e-17 2.384161e-16 -1.447410e-16
##
## $sd
## FP001 FP002 FP003 FP004
## 1.997441 1.965879 1.998418 1.996727
## FP005 FP006 FP007 FP008
## 1.967526 1.987576 1.998016 1.989961
## FP009 FP010 FP011 FP012
## 1.956871 1.994857 1.990383 1.998262
## FP013 FP014 FP015 FP016
## 1.946372 1.950226 1.982377 1.998066
## FP017 FP018 FP019 FP020
## 1.990804 1.990677 1.998419 1.997632
## FP021 FP022 FP023 FP024
## 1.997302 1.998438 1.993473 1.998350
## FP025 FP026 FP027 FP028
## 1.997550 1.996547 1.993636 1.997997
## FP029 FP030 FP031 FP032
## 1.998153 1.997165 1.998039 1.996110
## FP033 FP034 FP035 FP036
## 1.996918 1.997393 1.986351 1.991862
## FP037 FP038 FP039 FP040
## 1.996301 1.997482 1.985254 1.995476
## FP041 FP042 FP043 FP044
## 1.988639 1.998003 1.996813 1.968179
## FP045 FP046 FP047 FP048
## 1.993097 1.983138 1.994123 1.997925
## FP049 FP050 FP051 FP052
## 1.967967 1.995237 1.993052 1.997999
## FP053 FP054 FP055 FP056
## 1.978984 1.987241 1.996909 1.986268
## FP057 FP058 FP059 FP060
## 1.997727 1.998393 1.989114 1.991069
## FP061 FP062 FP063 FP064
## 1.998371 1.996455 1.995527 1.997558
## FP065 FP066 FP067 FP068
## 1.943772 1.998441 1.997822 1.998039
## FP069 FP070 FP071 FP072
## 1.997736 1.953304 1.964439 1.971118
## FP073 FP074 FP075 FP076
## 1.990535 1.997475 1.996319 1.891480
## FP077 FP078 FP079 FP080
## 1.996414 1.998253 1.948217 1.997087
## FP081 FP082 FP083 FP084
## 1.995932 1.950871 1.990363 1.998032
## FP085 FP086 FP087 FP088
## 1.959648 1.993861 1.960188 1.993700
## FP089 FP090 FP091 FP092
## 1.923482 1.993848 1.998432 1.946123
## FP093 FP094 FP095 FP096
## 1.986853 1.998443 1.997641 1.997366
## FP097 FP098 FP099 FP100
## 1.962353 1.997088 1.986115 1.996387
## FP101 FP102 FP103 FP104
## 1.997994 1.991209 1.992315 1.993865
## FP105 FP106 FP107 FP108
## 1.987296 1.995063 1.966039 1.998439
## FP109 FP110 FP111 FP112
## 1.994215 1.996472 1.998212 1.934357
## FP113 FP114 FP115 FP116
## 1.995844 1.996891 1.998111 1.998059
## FP117 FP118 FP119 FP120
## 1.993677 1.997233 1.998231 1.997152
## FP121 FP122 FP123 FP124
## 1.992876 1.998428 1.988671 1.998007
## FP125 FP126 FP127 FP128
## 1.998106 1.998441 1.996687 1.996908
## FP129 FP130 FP131 FP132
## 1.991858 1.996474 1.998418 1.992218
## FP133 FP134 FP135 FP136
## 1.998275 1.994100 1.998418 1.998387
## FP137 FP138 FP139 FP140
## 1.994961 1.995996 1.997973 1.997140
## FP141 FP142 FP143 FP144
## 1.992036 1.998018 1.997558 1.995821
## FP145 FP146 FP147 FP148
## 1.997445 1.980654 1.998243 1.997932
## FP149 FP150 FP151 FP152
## 1.973023 1.998357 1.998306 1.996996
## FP153 FP155 FP156 FP157
## 1.996042 1.983980 1.995725 1.998356
## FP158 FP159 FP160 FP161
## 1.996344 1.996301 1.998420 1.986282
## FP162 FP163 FP164 FP165
## 1.972486 1.996316 1.958522 1.997951
## FP166 FP167 FP168 FP169
## 1.987007 1.997779 1.951173 1.953552
## FP170 FP171 FP172 FP173
## 1.992809 1.994720 1.943645 1.989203
## FP174 FP175 FP176 FP177
## 1.995911 1.998398 1.998443 1.998205
## FP178 FP179 FP180 FP181
## 1.992081 1.996720 1.997022 1.981780
## FP182 FP183 FP184 FP185
## 1.997999 1.996726 1.970007 1.989483
## FP186 FP187 FP188 FP189
## 1.998200 1.998409 1.996088 1.995756
## FP190 FP191 FP192 FP193
## 1.979087 1.998295 1.995305 1.971068
## FP194 FP195 FP196 FP197
## 1.998258 1.989570 1.980297 1.982877
## FP198 FP201 FP202 FP203
## 1.995600 1.996574 1.988566 1.998418
## FP204 FP205 FP206 FP207
## 1.994326 1.987400 1.994136 1.980297
## FP208 MolWeight NumBonds NumMultBonds
## 1.998357 1.811327 1.878282 1.913900
## NumRotBonds NumDblBonds NumCarbon NumNitrogen
## 1.979298 1.996315 1.822971 1.998081
## NumOxygen NumSulfer NumChlorine NumHalogen
## 1.997969 1.992577 1.957929 1.950536
## NumRings HydrophilicFactor SurfaceArea1 SurfaceArea2
## 1.897736 1.973437 1.994964 1.997734
##
## $threshold
## [1] 0
##
## $nonzero
## [1] 220
##
## $threshold.scale
## Low High
## 1 1
##
## $se.scale
## y
## Low High
## 0.03592208 0.02927238
##
## $scale.sd
## [1] TRUE
##
## $call
## pamr::pamr.train(data = list(x = t(x), y = y), threshold = param$threshold)
##
## $hetero
## NULL
##
## $norm.cent
## NULL
##
## $prior
##
## Low High
## 0.4490011 0.5509989
##
## $offset
## 50%
## 0.9979164
##
## $sign.contrast
## [1] "both"
##
## $errors
## [1] 202
##
## $gene.subset
## [1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18
## [19] 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36
## [37] 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54
## [55] 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72
## [73] 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90
## [91] 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108
## [109] 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126
## [127] 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144
## [145] 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162
## [163] 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180
## [181] 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198
## [199] 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216
## [217] 217 218 219 220
##
## $sample.subset
## [1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18
## [19] 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36
## [37] 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54
## [55] 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72
## [73] 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90
## [91] 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108
## [109] 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126
## [127] 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144
## [145] 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162
## [163] 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180
## [181] 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198
## [199] 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216
## [217] 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234
## [235] 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252
## [253] 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270
## [271] 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288
## [289] 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306
## [307] 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324
## [325] 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342
## [343] 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360
## [361] 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378
## [379] 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396
## [397] 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414
## [415] 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432
## [433] 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450
## [451] 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468
## [469] 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486
## [487] 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504
## [505] 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522
## [523] 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540
## [541] 541 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557 558
## [559] 559 560 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575 576
## [577] 577 578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594
## [595] 595 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611 612
## [613] 613 614 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629 630
## [631] 631 632 633 634 635 636 637 638 639 640 641 642 643 644 645 646 647 648
## [649] 649 650 651 652 653 654 655 656 657 658 659 660 661 662 663 664 665 666
## [667] 667 668 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683 684
## [685] 685 686 687 688 689 690 691 692 693 694 695 696 697 698 699 700 701 702
## [703] 703 704 705 706 707 708 709 710 711 712 713 714 715 716 717 718 719 720
## [721] 721 722 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737 738
## [739] 739 740 741 742 743 744 745 746 747 748 749 750 751 752 753 754 755 756
## [757] 757 758 759 760 761 762 763 764 765 766 767 768 769 770 771 772 773 774
## [775] 775 776 777 778 779 780 781 782 783 784 785 786 787 788 789 790 791 792
## [793] 793 794 795 796 797 798 799 800 801 802 803 804 805 806 807 808 809 810
## [811] 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828
## [829] 829 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846
## [847] 847 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863 864
## [865] 865 866 867 868 869 870 871 872 873 874 875 876 877 878 879 880 881 882
## [883] 883 884 885 886 887 888 889 890 891 892 893 894 895 896 897 898 899 900
## [901] 901 902 903 904 905 906 907 908 909 910 911 912 913 914 915 916 917 918
## [919] 919 920 921 922 923 924 925 926 927 928 929 930 931 932 933 934 935 936
## [937] 937 938 939 940 941 942 943 944 945 946 947 948 949 950 951
##
## $ngroup.survival
## [1] 2
##
## $problem.type
## [1] "class"
##
## $xData
## FP001 FP002 FP003 FP004 FP005 FP006
## X1 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X2 -0.9859036 0.9235277 -0.8794541 0.8424278 0.8515806 1.2224933
## X3 1.0132314 0.9235277 1.1358733 0.8424278 0.8515806 -0.8171403
## X4 -0.9859036 -1.0816660 1.1358733 -1.1857971 -1.1730522 -0.8171403
## X5 -0.9859036 -1.0816660 1.1358733 0.8424278 0.8515806 1.2224933
## X6 1.0132314 -1.0816660 1.1358733 0.8424278 -1.1730522 -0.8171403
## X7 -0.9859036 0.9235277 -0.8794541 0.8424278 0.8515806 -0.8171403
## X8 1.0132314 -1.0816660 1.1358733 0.8424278 -1.1730522 -0.8171403
## X9 1.0132314 -1.0816660 1.1358733 0.8424278 -1.1730522 1.2224933
## X10 1.0132314 0.9235277 1.1358733 0.8424278 0.8515806 1.2224933
## X11 1.0132314 0.9235277 1.1358733 0.8424278 0.8515806 -0.8171403
## X12 1.0132314 -1.0816660 1.1358733 0.8424278 -1.1730522 1.2224933
## X13 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X14 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X15 -0.9859036 0.9235277 1.1358733 -1.1857971 0.8515806 -0.8171403
## X16 1.0132314 0.9235277 1.1358733 0.8424278 0.8515806 -0.8171403
## X17 1.0132314 -1.0816660 1.1358733 0.8424278 0.8515806 1.2224933
## X18 -0.9859036 0.9235277 -0.8794541 0.8424278 0.8515806 1.2224933
## X19 1.0132314 -1.0816660 1.1358733 0.8424278 -1.1730522 1.2224933
## X20 -0.9859036 0.9235277 1.1358733 -1.1857971 0.8515806 -0.8171403
## X21 1.0132314 0.9235277 -0.8794541 0.8424278 0.8515806 1.2224933
## X22 -0.9859036 0.9235277 -0.8794541 0.8424278 0.8515806 -0.8171403
## X23 1.0132314 0.9235277 1.1358733 0.8424278 0.8515806 -0.8171403
## X24 1.0132314 -1.0816660 -0.8794541 0.8424278 -1.1730522 1.2224933
## X25 1.0132314 0.9235277 1.1358733 0.8424278 0.8515806 1.2224933
## X26 1.0132314 0.9235277 -0.8794541 0.8424278 0.8515806 1.2224933
## X27 -0.9859036 0.9235277 1.1358733 0.8424278 0.8515806 -0.8171403
## X28 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 1.2224933
## X29 1.0132314 0.9235277 1.1358733 0.8424278 0.8515806 1.2224933
## X30 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X31 -0.9859036 -1.0816660 1.1358733 -1.1857971 -1.1730522 -0.8171403
## X32 -0.9859036 -1.0816660 1.1358733 -1.1857971 -1.1730522 -0.8171403
## X33 -0.9859036 -1.0816660 1.1358733 -1.1857971 -1.1730522 -0.8171403
## X34 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X35 1.0132314 0.9235277 1.1358733 0.8424278 0.8515806 -0.8171403
## X36 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X37 -0.9859036 -1.0816660 1.1358733 -1.1857971 -1.1730522 -0.8171403
## X38 1.0132314 -1.0816660 1.1358733 0.8424278 -1.1730522 1.2224933
## X39 -0.9859036 0.9235277 1.1358733 -1.1857971 0.8515806 -0.8171403
## X40 1.0132314 0.9235277 -0.8794541 0.8424278 0.8515806 1.2224933
## X41 1.0132314 -1.0816660 1.1358733 0.8424278 -1.1730522 1.2224933
## X42 1.0132314 0.9235277 -0.8794541 0.8424278 0.8515806 1.2224933
## X43 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X44 -0.9859036 0.9235277 -0.8794541 0.8424278 0.8515806 -0.8171403
## X45 -0.9859036 -1.0816660 1.1358733 -1.1857971 0.8515806 1.2224933
## X46 1.0132314 0.9235277 -0.8794541 0.8424278 0.8515806 -0.8171403
## X47 -0.9859036 -1.0816660 1.1358733 -1.1857971 -1.1730522 -0.8171403
## X48 -0.9859036 0.9235277 -0.8794541 0.8424278 0.8515806 -0.8171403
## X49 -0.9859036 0.9235277 -0.8794541 0.8424278 0.8515806 -0.8171403
## X50 1.0132314 0.9235277 1.1358733 0.8424278 0.8515806 -0.8171403
## X51 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X52 -0.9859036 -1.0816660 1.1358733 -1.1857971 -1.1730522 -0.8171403
## X53 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X54 -0.9859036 -1.0816660 1.1358733 -1.1857971 0.8515806 1.2224933
## X55 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X56 1.0132314 -1.0816660 1.1358733 0.8424278 -1.1730522 1.2224933
## X57 1.0132314 0.9235277 1.1358733 0.8424278 0.8515806 1.2224933
## X58 1.0132314 0.9235277 -0.8794541 0.8424278 0.8515806 -0.8171403
## X59 1.0132314 0.9235277 1.1358733 0.8424278 0.8515806 -0.8171403
## X60 1.0132314 0.9235277 -0.8794541 0.8424278 0.8515806 -0.8171403
## X61 1.0132314 -1.0816660 1.1358733 0.8424278 -1.1730522 -0.8171403
## X62 1.0132314 -1.0816660 1.1358733 0.8424278 -1.1730522 -0.8171403
## X63 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X64 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X65 1.0132314 0.9235277 1.1358733 0.8424278 0.8515806 -0.8171403
## X66 -0.9859036 -1.0816660 1.1358733 -1.1857971 -1.1730522 1.2224933
## X67 1.0132314 0.9235277 1.1358733 0.8424278 0.8515806 -0.8171403
## X68 1.0132314 -1.0816660 1.1358733 0.8424278 -1.1730522 1.2224933
## X69 -0.9859036 -1.0816660 1.1358733 -1.1857971 -1.1730522 -0.8171403
## X70 -0.9859036 0.9235277 -0.8794541 0.8424278 0.8515806 -0.8171403
## X71 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X72 -0.9859036 -1.0816660 1.1358733 -1.1857971 -1.1730522 -0.8171403
## X73 -0.9859036 0.9235277 -0.8794541 0.8424278 0.8515806 -0.8171403
## X74 1.0132314 -1.0816660 1.1358733 0.8424278 -1.1730522 -0.8171403
## X75 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X76 1.0132314 -1.0816660 1.1358733 0.8424278 -1.1730522 1.2224933
## X77 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X78 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 1.2224933
## X79 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X80 1.0132314 0.9235277 1.1358733 0.8424278 0.8515806 1.2224933
## X81 1.0132314 -1.0816660 1.1358733 0.8424278 -1.1730522 -0.8171403
## X82 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X83 -0.9859036 0.9235277 -0.8794541 0.8424278 0.8515806 -0.8171403
## X84 1.0132314 0.9235277 -0.8794541 0.8424278 0.8515806 1.2224933
## X85 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X86 -0.9859036 -1.0816660 1.1358733 -1.1857971 -1.1730522 -0.8171403
## X87 -0.9859036 -1.0816660 1.1358733 -1.1857971 -1.1730522 -0.8171403
## X88 1.0132314 0.9235277 -0.8794541 0.8424278 0.8515806 -0.8171403
## X89 1.0132314 0.9235277 -0.8794541 0.8424278 0.8515806 1.2224933
## X90 1.0132314 -1.0816660 1.1358733 0.8424278 -1.1730522 -0.8171403
## X91 1.0132314 -1.0816660 1.1358733 0.8424278 -1.1730522 1.2224933
## X92 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 1.2224933
## X93 -0.9859036 -1.0816660 -0.8794541 -1.1857971 -1.1730522 -0.8171403
## X94 1.0132314 -1.0816660 1.1358733 0.8424278 -1.1730522 -0.8171403
## X95 1.0132314 0.9235277 -0.8794541 0.8424278 0.8515806 -0.8171403
## X96 1.0132314 0.9235277 -0.8794541 0.8424278 0.8515806 1.2224933
## X97 -0.9859036 -1.0816660 1.1358733 -1.1857971 -1.1730522 -0.8171403
## X98 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X99 1.0132314 -1.0816660 1.1358733 0.8424278 -1.1730522 -0.8171403
## X100 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X101 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X102 -0.9859036 0.9235277 -0.8794541 0.8424278 0.8515806 -0.8171403
## X103 1.0132314 -1.0816660 1.1358733 0.8424278 -1.1730522 -0.8171403
## X104 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X105 1.0132314 -1.0816660 -0.8794541 0.8424278 -1.1730522 -0.8171403
## X106 -0.9859036 -1.0816660 1.1358733 0.8424278 -1.1730522 1.2224933
## X107 -0.9859036 0.9235277 -0.8794541 0.8424278 0.8515806 -0.8171403
## X108 1.0132314 -1.0816660 1.1358733 0.8424278 -1.1730522 1.2224933
## X109 1.0132314 -1.0816660 1.1358733 0.8424278 -1.1730522 -0.8171403
## X110 1.0132314 0.9235277 -0.8794541 0.8424278 0.8515806 -0.8171403
## X111 1.0132314 0.9235277 1.1358733 0.8424278 0.8515806 -0.8171403
## X112 -0.9859036 -1.0816660 -0.8794541 -1.1857971 -1.1730522 -0.8171403
## X113 1.0132314 -1.0816660 1.1358733 0.8424278 -1.1730522 -0.8171403
## X114 1.0132314 0.9235277 1.1358733 0.8424278 0.8515806 -0.8171403
## X115 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X116 1.0132314 0.9235277 -0.8794541 0.8424278 0.8515806 1.2224933
## X117 -0.9859036 -1.0816660 1.1358733 -1.1857971 -1.1730522 1.2224933
## X118 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X119 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X120 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 1.2224933
## X121 -0.9859036 -1.0816660 -0.8794541 0.8424278 -1.1730522 -0.8171403
## X122 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X123 1.0132314 0.9235277 1.1358733 0.8424278 0.8515806 -0.8171403
## X124 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X125 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X126 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X127 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X128 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X129 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X130 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X131 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X132 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X133 -0.9859036 0.9235277 1.1358733 -1.1857971 0.8515806 -0.8171403
## X134 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X135 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X136 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X137 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X138 -0.9859036 -1.0816660 1.1358733 0.8424278 -1.1730522 1.2224933
## X139 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X140 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X141 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X142 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X143 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X144 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X145 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X146 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X147 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X148 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X149 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X150 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X151 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X152 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X153 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X154 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X155 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X156 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X157 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X158 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X159 -0.9859036 -1.0816660 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X160 -0.9859036 0.9235277 -0.8794541 0.8424278 0.8515806 -0.8171403
## X161 -0.9859036 -1.0816660 1.1358733 -1.1857971 -1.1730522 -0.8171403
## X162 1.0132314 -1.0816660 1.1358733 0.8424278 -1.1730522 1.2224933
## X163 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X164 1.0132314 -1.0816660 1.1358733 0.8424278 -1.1730522 1.2224933
## X165 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X166 -0.9859036 0.9235277 1.1358733 -1.1857971 0.8515806 -0.8171403
## X167 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X168 -0.9859036 -1.0816660 1.1358733 0.8424278 0.8515806 1.2224933
## X169 1.0132314 -1.0816660 1.1358733 0.8424278 -1.1730522 -0.8171403
## X170 1.0132314 0.9235277 -0.8794541 0.8424278 0.8515806 -0.8171403
## X171 1.0132314 -1.0816660 1.1358733 0.8424278 -1.1730522 1.2224933
## X172 -0.9859036 -1.0816660 -0.8794541 -1.1857971 -1.1730522 -0.8171403
## X173 1.0132314 0.9235277 -0.8794541 0.8424278 0.8515806 1.2224933
## X174 1.0132314 0.9235277 -0.8794541 0.8424278 0.8515806 1.2224933
## X175 -0.9859036 -1.0816660 -0.8794541 -1.1857971 -1.1730522 -0.8171403
## X176 -0.9859036 0.9235277 1.1358733 0.8424278 0.8515806 -0.8171403
## X177 1.0132314 -1.0816660 1.1358733 0.8424278 -1.1730522 -0.8171403
## X178 -0.9859036 -1.0816660 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X179 1.0132314 -1.0816660 1.1358733 0.8424278 -1.1730522 1.2224933
## X180 -0.9859036 0.9235277 1.1358733 -1.1857971 0.8515806 1.2224933
## X181 -0.9859036 0.9235277 -0.8794541 0.8424278 0.8515806 -0.8171403
## X182 1.0132314 -1.0816660 1.1358733 0.8424278 -1.1730522 1.2224933
## X183 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X184 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 1.2224933
## X185 -0.9859036 0.9235277 1.1358733 -1.1857971 0.8515806 -0.8171403
## X186 1.0132314 0.9235277 -0.8794541 0.8424278 0.8515806 1.2224933
## X187 -0.9859036 -1.0816660 1.1358733 -1.1857971 -1.1730522 -0.8171403
## X188 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X189 -0.9859036 0.9235277 -0.8794541 0.8424278 0.8515806 -0.8171403
## X190 1.0132314 0.9235277 -0.8794541 0.8424278 0.8515806 -0.8171403
## X191 1.0132314 -1.0816660 1.1358733 0.8424278 -1.1730522 1.2224933
## X192 1.0132314 0.9235277 -0.8794541 0.8424278 0.8515806 -0.8171403
## X193 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X194 1.0132314 -1.0816660 1.1358733 0.8424278 -1.1730522 1.2224933
## X195 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X196 1.0132314 -1.0816660 1.1358733 0.8424278 -1.1730522 -0.8171403
## X197 1.0132314 0.9235277 -0.8794541 0.8424278 0.8515806 -0.8171403
## X198 1.0132314 -1.0816660 1.1358733 0.8424278 -1.1730522 -0.8171403
## X199 -0.9859036 -1.0816660 -0.8794541 -1.1857971 -1.1730522 -0.8171403
## X200 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X201 -0.9859036 0.9235277 1.1358733 -1.1857971 0.8515806 -0.8171403
## X202 1.0132314 0.9235277 1.1358733 0.8424278 0.8515806 -0.8171403
## X203 1.0132314 0.9235277 1.1358733 0.8424278 0.8515806 -0.8171403
## X204 1.0132314 0.9235277 1.1358733 0.8424278 0.8515806 -0.8171403
## X205 -0.9859036 -1.0816660 -0.8794541 -1.1857971 -1.1730522 1.2224933
## X206 -0.9859036 -1.0816660 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X207 1.0132314 0.9235277 1.1358733 0.8424278 0.8515806 -0.8171403
## X208 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X209 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X210 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X211 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X212 -0.9859036 -1.0816660 -0.8794541 0.8424278 -1.1730522 -0.8171403
## X213 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X214 1.0132314 0.9235277 1.1358733 0.8424278 0.8515806 -0.8171403
## X215 -0.9859036 -1.0816660 -0.8794541 -1.1857971 -1.1730522 -0.8171403
## X216 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X217 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X218 1.0132314 0.9235277 -0.8794541 0.8424278 0.8515806 -0.8171403
## X219 1.0132314 -1.0816660 1.1358733 0.8424278 -1.1730522 -0.8171403
## X220 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X221 -0.9859036 -1.0816660 1.1358733 -1.1857971 -1.1730522 1.2224933
## X222 -0.9859036 -1.0816660 -0.8794541 -1.1857971 -1.1730522 -0.8171403
## X223 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X224 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X225 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X226 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X227 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X228 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X229 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X230 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X231 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X232 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X233 1.0132314 0.9235277 -0.8794541 0.8424278 0.8515806 1.2224933
## X234 1.0132314 -1.0816660 1.1358733 0.8424278 -1.1730522 1.2224933
## X235 -0.9859036 -1.0816660 -0.8794541 -1.1857971 -1.1730522 -0.8171403
## X236 1.0132314 0.9235277 1.1358733 0.8424278 0.8515806 -0.8171403
## X237 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X238 -0.9859036 -1.0816660 -0.8794541 -1.1857971 -1.1730522 -0.8171403
## X239 1.0132314 0.9235277 -0.8794541 0.8424278 0.8515806 -0.8171403
## X240 1.0132314 0.9235277 -0.8794541 0.8424278 0.8515806 1.2224933
## X241 -0.9859036 -1.0816660 1.1358733 -1.1857971 -1.1730522 -0.8171403
## X242 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X243 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X244 1.0132314 0.9235277 -0.8794541 0.8424278 0.8515806 1.2224933
## X245 1.0132314 0.9235277 1.1358733 0.8424278 0.8515806 -0.8171403
## X246 1.0132314 0.9235277 1.1358733 0.8424278 0.8515806 1.2224933
## X247 1.0132314 0.9235277 -0.8794541 0.8424278 0.8515806 1.2224933
## X248 1.0132314 -1.0816660 1.1358733 0.8424278 -1.1730522 -0.8171403
## X249 -0.9859036 -1.0816660 -0.8794541 -1.1857971 -1.1730522 -0.8171403
## X250 1.0132314 0.9235277 -0.8794541 0.8424278 0.8515806 -0.8171403
## X251 -0.9859036 0.9235277 1.1358733 -1.1857971 0.8515806 -0.8171403
## X252 -0.9859036 0.9235277 -0.8794541 0.8424278 0.8515806 1.2224933
## X253 -0.9859036 -1.0816660 -0.8794541 -1.1857971 -1.1730522 -0.8171403
## X254 -0.9859036 0.9235277 -0.8794541 0.8424278 0.8515806 1.2224933
## X255 1.0132314 0.9235277 -0.8794541 0.8424278 0.8515806 -0.8171403
## X256 1.0132314 -1.0816660 1.1358733 0.8424278 -1.1730522 1.2224933
## X257 1.0132314 0.9235277 1.1358733 0.8424278 0.8515806 1.2224933
## X258 -0.9859036 -1.0816660 1.1358733 -1.1857971 -1.1730522 -0.8171403
## X259 -0.9859036 -1.0816660 -0.8794541 -1.1857971 -1.1730522 -0.8171403
## X260 1.0132314 0.9235277 -0.8794541 0.8424278 0.8515806 -0.8171403
## X261 1.0132314 0.9235277 1.1358733 0.8424278 0.8515806 1.2224933
## X262 -0.9859036 -1.0816660 -0.8794541 -1.1857971 -1.1730522 -0.8171403
## X263 -0.9859036 -1.0816660 1.1358733 -1.1857971 -1.1730522 -0.8171403
## X264 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X265 -0.9859036 -1.0816660 1.1358733 -1.1857971 -1.1730522 -0.8171403
## X266 -0.9859036 -1.0816660 1.1358733 -1.1857971 -1.1730522 -0.8171403
## X267 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 1.2224933
## X268 1.0132314 -1.0816660 1.1358733 0.8424278 -1.1730522 -0.8171403
## X269 1.0132314 0.9235277 1.1358733 0.8424278 0.8515806 -0.8171403
## X270 1.0132314 0.9235277 1.1358733 0.8424278 0.8515806 -0.8171403
## X271 1.0132314 0.9235277 -0.8794541 0.8424278 0.8515806 -0.8171403
## X272 1.0132314 0.9235277 1.1358733 0.8424278 0.8515806 -0.8171403
## X273 -0.9859036 -1.0816660 1.1358733 -1.1857971 -1.1730522 -0.8171403
## X274 1.0132314 -1.0816660 1.1358733 0.8424278 -1.1730522 1.2224933
## X275 1.0132314 -1.0816660 1.1358733 0.8424278 -1.1730522 -0.8171403
## X276 1.0132314 -1.0816660 -0.8794541 0.8424278 0.8515806 1.2224933
## X277 -0.9859036 0.9235277 -0.8794541 0.8424278 0.8515806 1.2224933
## X278 1.0132314 -1.0816660 -0.8794541 0.8424278 0.8515806 1.2224933
## X279 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X280 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X281 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X282 1.0132314 0.9235277 -0.8794541 0.8424278 0.8515806 -0.8171403
## X283 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X284 -0.9859036 0.9235277 1.1358733 0.8424278 0.8515806 1.2224933
## X285 1.0132314 0.9235277 1.1358733 0.8424278 0.8515806 1.2224933
## X286 1.0132314 0.9235277 -0.8794541 0.8424278 0.8515806 1.2224933
## X287 -0.9859036 0.9235277 -0.8794541 0.8424278 0.8515806 1.2224933
## X288 1.0132314 0.9235277 -0.8794541 0.8424278 0.8515806 1.2224933
## X289 1.0132314 0.9235277 1.1358733 0.8424278 0.8515806 1.2224933
## X290 1.0132314 0.9235277 -0.8794541 0.8424278 0.8515806 1.2224933
## X291 -0.9859036 -1.0816660 1.1358733 -1.1857971 -1.1730522 -0.8171403
## X292 1.0132314 0.9235277 -0.8794541 0.8424278 0.8515806 1.2224933
## X293 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X294 -0.9859036 0.9235277 -0.8794541 0.8424278 0.8515806 -0.8171403
## X295 1.0132314 0.9235277 1.1358733 0.8424278 0.8515806 1.2224933
## X296 1.0132314 0.9235277 -0.8794541 0.8424278 0.8515806 1.2224933
## X297 1.0132314 0.9235277 1.1358733 0.8424278 0.8515806 -0.8171403
## X298 1.0132314 0.9235277 1.1358733 0.8424278 0.8515806 1.2224933
## X299 1.0132314 -1.0816660 1.1358733 0.8424278 -1.1730522 1.2224933
## X300 -0.9859036 -1.0816660 1.1358733 -1.1857971 -1.1730522 1.2224933
## X301 -0.9859036 0.9235277 1.1358733 0.8424278 0.8515806 -0.8171403
## X302 1.0132314 0.9235277 1.1358733 0.8424278 0.8515806 1.2224933
## X303 -0.9859036 -1.0816660 1.1358733 0.8424278 0.8515806 1.2224933
## X304 1.0132314 0.9235277 -0.8794541 0.8424278 0.8515806 1.2224933
## X305 1.0132314 0.9235277 1.1358733 0.8424278 0.8515806 1.2224933
## X306 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X307 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 1.2224933
## X308 1.0132314 0.9235277 -0.8794541 0.8424278 0.8515806 -0.8171403
## X309 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 1.2224933
## X310 1.0132314 -1.0816660 1.1358733 0.8424278 -1.1730522 1.2224933
## X311 -0.9859036 -1.0816660 1.1358733 -1.1857971 -1.1730522 -0.8171403
## X312 1.0132314 0.9235277 1.1358733 0.8424278 0.8515806 1.2224933
## X313 -0.9859036 -1.0816660 1.1358733 -1.1857971 -1.1730522 -0.8171403
## X314 -0.9859036 -1.0816660 -0.8794541 -1.1857971 -1.1730522 -0.8171403
## X315 -0.9859036 0.9235277 1.1358733 0.8424278 0.8515806 -0.8171403
## X316 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X317 -0.9859036 -1.0816660 -0.8794541 -1.1857971 -1.1730522 -0.8171403
## X318 1.0132314 0.9235277 -0.8794541 0.8424278 0.8515806 -0.8171403
## X319 1.0132314 0.9235277 1.1358733 0.8424278 0.8515806 1.2224933
## X320 -0.9859036 -1.0816660 1.1358733 -1.1857971 0.8515806 1.2224933
## X321 1.0132314 0.9235277 -0.8794541 0.8424278 0.8515806 -0.8171403
## X322 1.0132314 0.9235277 1.1358733 0.8424278 0.8515806 1.2224933
## X323 -0.9859036 0.9235277 -0.8794541 0.8424278 0.8515806 -0.8171403
## X324 -0.9859036 -1.0816660 1.1358733 -1.1857971 -1.1730522 -0.8171403
## X325 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X326 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X327 -0.9859036 0.9235277 1.1358733 -1.1857971 0.8515806 -0.8171403
## X328 1.0132314 0.9235277 -0.8794541 0.8424278 0.8515806 -0.8171403
## X329 -0.9859036 -1.0816660 1.1358733 -1.1857971 -1.1730522 -0.8171403
## X330 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 1.2224933
## X331 1.0132314 0.9235277 1.1358733 0.8424278 0.8515806 1.2224933
## X332 1.0132314 0.9235277 1.1358733 0.8424278 0.8515806 1.2224933
## X333 1.0132314 0.9235277 1.1358733 0.8424278 0.8515806 -0.8171403
## X334 1.0132314 0.9235277 -0.8794541 0.8424278 0.8515806 1.2224933
## X335 1.0132314 0.9235277 1.1358733 0.8424278 0.8515806 1.2224933
## X336 -0.9859036 -1.0816660 1.1358733 -1.1857971 -1.1730522 -0.8171403
## X337 1.0132314 0.9235277 -0.8794541 0.8424278 0.8515806 1.2224933
## X338 1.0132314 0.9235277 -0.8794541 0.8424278 0.8515806 1.2224933
## X339 1.0132314 0.9235277 -0.8794541 0.8424278 0.8515806 1.2224933
## X340 1.0132314 0.9235277 -0.8794541 0.8424278 0.8515806 -0.8171403
## X341 1.0132314 -1.0816660 1.1358733 0.8424278 -1.1730522 -0.8171403
## X342 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X343 1.0132314 0.9235277 -0.8794541 0.8424278 0.8515806 -0.8171403
## X344 1.0132314 0.9235277 1.1358733 0.8424278 0.8515806 -0.8171403
## X345 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X346 1.0132314 -1.0816660 1.1358733 0.8424278 -1.1730522 1.2224933
## X347 1.0132314 -1.0816660 1.1358733 0.8424278 -1.1730522 1.2224933
## X348 -0.9859036 0.9235277 -0.8794541 0.8424278 0.8515806 1.2224933
## X349 -0.9859036 0.9235277 1.1358733 -1.1857971 0.8515806 -0.8171403
## X350 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 1.2224933
## X351 1.0132314 -1.0816660 1.1358733 0.8424278 -1.1730522 -0.8171403
## X352 1.0132314 -1.0816660 1.1358733 0.8424278 -1.1730522 -0.8171403
## X353 1.0132314 0.9235277 1.1358733 0.8424278 0.8515806 1.2224933
## X354 -0.9859036 0.9235277 -0.8794541 0.8424278 0.8515806 -0.8171403
## X355 1.0132314 -1.0816660 -0.8794541 0.8424278 -1.1730522 -0.8171403
## X356 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X357 1.0132314 0.9235277 1.1358733 0.8424278 0.8515806 -0.8171403
## X358 1.0132314 -1.0816660 1.1358733 0.8424278 -1.1730522 -0.8171403
## X359 1.0132314 -1.0816660 1.1358733 0.8424278 -1.1730522 1.2224933
## X360 1.0132314 -1.0816660 1.1358733 0.8424278 -1.1730522 -0.8171403
## X361 1.0132314 0.9235277 1.1358733 0.8424278 0.8515806 -0.8171403
## X362 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X363 1.0132314 0.9235277 -0.8794541 0.8424278 0.8515806 1.2224933
## X364 -0.9859036 -1.0816660 -0.8794541 -1.1857971 -1.1730522 -0.8171403
## X365 1.0132314 0.9235277 -0.8794541 0.8424278 0.8515806 1.2224933
## X366 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X367 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X368 -0.9859036 -1.0816660 1.1358733 -1.1857971 -1.1730522 -0.8171403
## X369 1.0132314 0.9235277 1.1358733 0.8424278 0.8515806 -0.8171403
## X370 1.0132314 0.9235277 -0.8794541 0.8424278 0.8515806 1.2224933
## X371 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X372 1.0132314 0.9235277 -0.8794541 0.8424278 0.8515806 1.2224933
## X373 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X374 1.0132314 0.9235277 -0.8794541 0.8424278 0.8515806 1.2224933
## X375 1.0132314 0.9235277 1.1358733 0.8424278 0.8515806 -0.8171403
## X376 1.0132314 -1.0816660 1.1358733 0.8424278 -1.1730522 1.2224933
## X377 1.0132314 -1.0816660 1.1358733 0.8424278 -1.1730522 1.2224933
## X378 -0.9859036 0.9235277 -0.8794541 0.8424278 0.8515806 1.2224933
## X379 -0.9859036 -1.0816660 1.1358733 -1.1857971 -1.1730522 -0.8171403
## X380 -0.9859036 -1.0816660 -0.8794541 -1.1857971 -1.1730522 -0.8171403
## X381 1.0132314 0.9235277 -0.8794541 0.8424278 0.8515806 -0.8171403
## X382 1.0132314 0.9235277 -0.8794541 0.8424278 0.8515806 1.2224933
## X383 1.0132314 -1.0816660 1.1358733 0.8424278 -1.1730522 1.2224933
## X384 1.0132314 -1.0816660 1.1358733 0.8424278 -1.1730522 -0.8171403
## X385 1.0132314 0.9235277 1.1358733 0.8424278 0.8515806 -0.8171403
## X386 1.0132314 0.9235277 -0.8794541 0.8424278 0.8515806 1.2224933
## X387 1.0132314 0.9235277 1.1358733 0.8424278 0.8515806 -0.8171403
## X388 1.0132314 0.9235277 -0.8794541 0.8424278 0.8515806 1.2224933
## X389 1.0132314 0.9235277 1.1358733 0.8424278 0.8515806 1.2224933
## X390 1.0132314 0.9235277 1.1358733 0.8424278 0.8515806 -0.8171403
## X391 1.0132314 -1.0816660 1.1358733 0.8424278 -1.1730522 1.2224933
## X392 1.0132314 0.9235277 1.1358733 0.8424278 0.8515806 -0.8171403
## X393 -0.9859036 0.9235277 1.1358733 -1.1857971 0.8515806 -0.8171403
## X394 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X395 1.0132314 0.9235277 1.1358733 0.8424278 0.8515806 1.2224933
## X396 -0.9859036 -1.0816660 1.1358733 -1.1857971 -1.1730522 -0.8171403
## X397 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 1.2224933
## X398 -0.9859036 -1.0816660 1.1358733 -1.1857971 -1.1730522 1.2224933
## X399 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X400 1.0132314 0.9235277 -0.8794541 0.8424278 0.8515806 1.2224933
## X401 -0.9859036 0.9235277 1.1358733 -1.1857971 0.8515806 1.2224933
## X402 1.0132314 0.9235277 -0.8794541 0.8424278 0.8515806 1.2224933
## X403 -0.9859036 0.9235277 1.1358733 -1.1857971 0.8515806 -0.8171403
## X404 1.0132314 -1.0816660 1.1358733 0.8424278 -1.1730522 -0.8171403
## X405 1.0132314 -1.0816660 1.1358733 0.8424278 -1.1730522 -0.8171403
## X406 1.0132314 0.9235277 -0.8794541 0.8424278 0.8515806 -0.8171403
## X407 1.0132314 0.9235277 -0.8794541 0.8424278 0.8515806 1.2224933
## X408 -0.9859036 -1.0816660 1.1358733 -1.1857971 -1.1730522 -0.8171403
## X409 1.0132314 -1.0816660 1.1358733 0.8424278 -1.1730522 1.2224933
## X410 1.0132314 0.9235277 -0.8794541 0.8424278 0.8515806 1.2224933
## X411 1.0132314 0.9235277 -0.8794541 0.8424278 0.8515806 1.2224933
## X412 1.0132314 0.9235277 -0.8794541 0.8424278 0.8515806 1.2224933
## X413 1.0132314 -1.0816660 -0.8794541 0.8424278 0.8515806 1.2224933
## X414 -0.9859036 -1.0816660 1.1358733 -1.1857971 -1.1730522 1.2224933
## X415 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X416 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X417 1.0132314 0.9235277 -0.8794541 0.8424278 0.8515806 1.2224933
## X418 -0.9859036 0.9235277 1.1358733 -1.1857971 0.8515806 -0.8171403
## X419 1.0132314 0.9235277 -0.8794541 0.8424278 0.8515806 1.2224933
## X420 -0.9859036 0.9235277 -0.8794541 0.8424278 0.8515806 -0.8171403
## X421 1.0132314 0.9235277 -0.8794541 0.8424278 0.8515806 1.2224933
## X422 1.0132314 0.9235277 -0.8794541 0.8424278 0.8515806 -0.8171403
## X423 1.0132314 -1.0816660 1.1358733 0.8424278 -1.1730522 1.2224933
## X424 1.0132314 -1.0816660 1.1358733 0.8424278 0.8515806 1.2224933
## X425 1.0132314 -1.0816660 1.1358733 0.8424278 -1.1730522 1.2224933
## X426 1.0132314 0.9235277 1.1358733 0.8424278 0.8515806 -0.8171403
## X427 -0.9859036 -1.0816660 -0.8794541 -1.1857971 -1.1730522 -0.8171403
## X428 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X429 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X430 1.0132314 0.9235277 1.1358733 0.8424278 0.8515806 1.2224933
## X431 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X432 1.0132314 0.9235277 -0.8794541 0.8424278 0.8515806 -0.8171403
## X433 -0.9859036 -1.0816660 -0.8794541 -1.1857971 -1.1730522 -0.8171403
## X434 1.0132314 0.9235277 -0.8794541 0.8424278 0.8515806 1.2224933
## X435 1.0132314 -1.0816660 1.1358733 0.8424278 -1.1730522 -0.8171403
## X436 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X437 1.0132314 -1.0816660 1.1358733 0.8424278 -1.1730522 1.2224933
## X438 1.0132314 -1.0816660 1.1358733 0.8424278 -1.1730522 1.2224933
## X439 -0.9859036 -1.0816660 1.1358733 -1.1857971 -1.1730522 -0.8171403
## X440 -0.9859036 0.9235277 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X441 1.0132314 0.9235277 1.1358733 0.8424278 0.8515806 -0.8171403
## X442 -0.9859036 0.9235277 -0.8794541 0.8424278 0.8515806 1.2224933
## X443 1.0132314 0.9235277 1.1358733 0.8424278 0.8515806 1.2224933
## X444 1.0132314 -1.0816660 1.1358733 0.8424278 -1.1730522 1.2224933
## X445 1.0132314 -1.0816660 1.1358733 0.8424278 -1.1730522 -0.8171403
## X446 1.0132314 0.9235277 1.1358733 0.8424278 0.8515806 1.2224933
## X447 1.0132314 -1.0816660 1.1358733 0.8424278 -1.1730522 -0.8171403
## X448 1.0132314 -1.0816660 1.1358733 0.8424278 -1.1730522 -0.8171403
## X449 1.0132314 0.9235277 -0.8794541 0.8424278 0.8515806 -0.8171403
## X450 -0.9859036 -1.0816660 -0.8794541 -1.1857971 0.8515806 -0.8171403
## X451 1.0132314 -1.0816660 1.1358733 0.8424278 -1.1730522 -0.8171403
## X452 1.0132314 0.9235277 -0.8794541 0.8424278 0.8515806 -0.8171403
## X453 1.0132314 0.9235277 -0.8794541 0.8424278 0.8515806 -0.8171403
## X454 1.0132314 0.9235277 1.1358733 0.8424278 0.8515806 -0.8171403
## FP007 FP008 FP009 FP010 FP011 FP012
## X1 -0.7558435 1.4372083 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X2 1.3216339 1.4372083 -0.6228265 -0.4663054 1.9125675 -0.462962
## X3 -0.7558435 1.4372083 -0.6228265 2.1422621 -0.5223076 -0.462962
## X4 1.3216339 -0.6950617 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X5 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X6 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 2.157733
## X7 -0.7558435 1.4372083 1.6038953 -0.4663054 -0.5223076 -0.462962
## X8 1.3216339 -0.6950617 -0.6228265 -0.4663054 -0.5223076 2.157733
## X9 1.3216339 -0.6950617 1.6038953 -0.4663054 1.9125675 -0.462962
## X10 1.3216339 -0.6950617 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X11 -0.7558435 1.4372083 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X12 1.3216339 -0.6950617 -0.6228265 -0.4663054 1.9125675 -0.462962
## X13 -0.7558435 1.4372083 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X14 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X15 1.3216339 1.4372083 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X16 -0.7558435 1.4372083 -0.6228265 2.1422621 -0.5223076 -0.462962
## X17 1.3216339 1.4372083 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X18 1.3216339 -0.6950617 1.6038953 -0.4663054 1.9125675 -0.462962
## X19 1.3216339 -0.6950617 -0.6228265 -0.4663054 1.9125675 -0.462962
## X20 -0.7558435 1.4372083 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X21 -0.7558435 1.4372083 1.6038953 -0.4663054 1.9125675 2.157733
## X22 1.3216339 1.4372083 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X23 1.3216339 1.4372083 1.6038953 -0.4663054 -0.5223076 2.157733
## X24 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X25 -0.7558435 1.4372083 -0.6228265 -0.4663054 -0.5223076 2.157733
## X26 1.3216339 1.4372083 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X27 -0.7558435 -0.6950617 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X28 -0.7558435 -0.6950617 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X29 -0.7558435 1.4372083 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X30 -0.7558435 1.4372083 1.6038953 -0.4663054 -0.5223076 -0.462962
## X31 1.3216339 -0.6950617 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X32 1.3216339 -0.6950617 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X33 1.3216339 -0.6950617 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X34 -0.7558435 1.4372083 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X35 -0.7558435 1.4372083 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X36 -0.7558435 -0.6950617 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X37 1.3216339 -0.6950617 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X38 1.3216339 -0.6950617 -0.6228265 2.1422621 1.9125675 -0.462962
## X39 1.3216339 1.4372083 -0.6228265 2.1422621 -0.5223076 -0.462962
## X40 -0.7558435 1.4372083 1.6038953 2.1422621 -0.5223076 -0.462962
## X41 1.3216339 -0.6950617 -0.6228265 -0.4663054 1.9125675 2.157733
## X42 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 2.157733
## X43 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X44 1.3216339 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X45 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X46 -0.7558435 1.4372083 1.6038953 -0.4663054 -0.5223076 -0.462962
## X47 1.3216339 -0.6950617 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X48 -0.7558435 -0.6950617 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X49 -0.7558435 -0.6950617 1.6038953 2.1422621 -0.5223076 -0.462962
## X50 -0.7558435 1.4372083 1.6038953 2.1422621 -0.5223076 -0.462962
## X51 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X52 1.3216339 -0.6950617 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X53 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X54 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X55 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X56 1.3216339 -0.6950617 -0.6228265 -0.4663054 1.9125675 -0.462962
## X57 1.3216339 1.4372083 -0.6228265 -0.4663054 -0.5223076 2.157733
## X58 -0.7558435 -0.6950617 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X59 1.3216339 1.4372083 1.6038953 -0.4663054 -0.5223076 2.157733
## X60 -0.7558435 1.4372083 1.6038953 2.1422621 -0.5223076 -0.462962
## X61 1.3216339 -0.6950617 -0.6228265 2.1422621 -0.5223076 -0.462962
## X62 1.3216339 -0.6950617 -0.6228265 -0.4663054 -0.5223076 2.157733
## X63 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X64 -0.7558435 1.4372083 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X65 -0.7558435 1.4372083 -0.6228265 -0.4663054 -0.5223076 2.157733
## X66 1.3216339 -0.6950617 -0.6228265 -0.4663054 1.9125675 -0.462962
## X67 1.3216339 -0.6950617 1.6038953 -0.4663054 -0.5223076 2.157733
## X68 1.3216339 -0.6950617 1.6038953 -0.4663054 1.9125675 2.157733
## X69 1.3216339 -0.6950617 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X70 1.3216339 -0.6950617 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X71 -0.7558435 1.4372083 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X72 1.3216339 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X73 -0.7558435 1.4372083 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X74 -0.7558435 -0.6950617 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X75 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X76 1.3216339 -0.6950617 1.6038953 -0.4663054 1.9125675 2.157733
## X77 -0.7558435 1.4372083 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X78 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X79 -0.7558435 1.4372083 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X80 -0.7558435 1.4372083 1.6038953 -0.4663054 1.9125675 2.157733
## X81 1.3216339 -0.6950617 1.6038953 -0.4663054 -0.5223076 2.157733
## X82 -0.7558435 -0.6950617 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X83 1.3216339 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X84 -0.7558435 1.4372083 1.6038953 -0.4663054 -0.5223076 -0.462962
## X85 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X86 1.3216339 -0.6950617 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X87 1.3216339 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X88 1.3216339 1.4372083 -0.6228265 2.1422621 -0.5223076 -0.462962
## X89 1.3216339 1.4372083 1.6038953 -0.4663054 -0.5223076 -0.462962
## X90 1.3216339 -0.6950617 -0.6228265 -0.4663054 -0.5223076 2.157733
## X91 1.3216339 -0.6950617 -0.6228265 2.1422621 1.9125675 -0.462962
## X92 -0.7558435 -0.6950617 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X93 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X94 1.3216339 -0.6950617 -0.6228265 -0.4663054 -0.5223076 2.157733
## X95 -0.7558435 1.4372083 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X96 -0.7558435 1.4372083 1.6038953 2.1422621 1.9125675 -0.462962
## X97 1.3216339 -0.6950617 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X98 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X99 1.3216339 -0.6950617 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X100 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X101 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X102 1.3216339 1.4372083 1.6038953 -0.4663054 -0.5223076 -0.462962
## X103 1.3216339 -0.6950617 -0.6228265 2.1422621 -0.5223076 -0.462962
## X104 -0.7558435 -0.6950617 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X105 1.3216339 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X106 1.3216339 -0.6950617 -0.6228265 -0.4663054 1.9125675 2.157733
## X107 -0.7558435 1.4372083 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X108 1.3216339 -0.6950617 -0.6228265 -0.4663054 1.9125675 2.157733
## X109 -0.7558435 -0.6950617 -0.6228265 -0.4663054 -0.5223076 2.157733
## X110 -0.7558435 1.4372083 -0.6228265 2.1422621 -0.5223076 -0.462962
## X111 1.3216339 1.4372083 -0.6228265 -0.4663054 -0.5223076 2.157733
## X112 1.3216339 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X113 1.3216339 -0.6950617 -0.6228265 2.1422621 -0.5223076 -0.462962
## X114 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 2.157733
## X115 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X116 -0.7558435 1.4372083 1.6038953 -0.4663054 -0.5223076 -0.462962
## X117 1.3216339 -0.6950617 -0.6228265 -0.4663054 1.9125675 -0.462962
## X118 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X119 -0.7558435 -0.6950617 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X120 -0.7558435 -0.6950617 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X121 1.3216339 -0.6950617 1.6038953 -0.4663054 -0.5223076 2.157733
## X122 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X123 -0.7558435 1.4372083 1.6038953 -0.4663054 -0.5223076 2.157733
## X124 -0.7558435 1.4372083 1.6038953 -0.4663054 -0.5223076 -0.462962
## X125 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X126 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X127 -0.7558435 1.4372083 1.6038953 -0.4663054 -0.5223076 -0.462962
## X128 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X129 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X130 -0.7558435 1.4372083 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X131 -0.7558435 -0.6950617 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X132 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X133 -0.7558435 1.4372083 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X134 -0.7558435 1.4372083 1.6038953 -0.4663054 -0.5223076 -0.462962
## X135 -0.7558435 -0.6950617 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X136 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X137 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X138 1.3216339 -0.6950617 -0.6228265 -0.4663054 1.9125675 2.157733
## X139 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X140 -0.7558435 -0.6950617 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X141 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X142 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X143 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X144 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X145 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X146 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X147 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X148 -0.7558435 1.4372083 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X149 -0.7558435 -0.6950617 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X150 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X151 -0.7558435 -0.6950617 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X152 -0.7558435 1.4372083 1.6038953 -0.4663054 -0.5223076 -0.462962
## X153 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X154 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X155 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X156 -0.7558435 -0.6950617 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X157 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X158 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X159 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X160 -0.7558435 -0.6950617 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X161 1.3216339 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X162 1.3216339 -0.6950617 -0.6228265 -0.4663054 1.9125675 -0.462962
## X163 -0.7558435 1.4372083 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X164 1.3216339 -0.6950617 -0.6228265 -0.4663054 1.9125675 2.157733
## X165 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X166 1.3216339 1.4372083 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X167 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X168 -0.7558435 -0.6950617 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X169 -0.7558435 -0.6950617 -0.6228265 -0.4663054 -0.5223076 2.157733
## X170 -0.7558435 1.4372083 -0.6228265 -0.4663054 -0.5223076 2.157733
## X171 1.3216339 -0.6950617 1.6038953 -0.4663054 1.9125675 2.157733
## X172 1.3216339 -0.6950617 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X173 -0.7558435 1.4372083 -0.6228265 2.1422621 -0.5223076 -0.462962
## X174 -0.7558435 1.4372083 1.6038953 2.1422621 -0.5223076 -0.462962
## X175 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X176 -0.7558435 -0.6950617 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X177 1.3216339 -0.6950617 -0.6228265 -0.4663054 -0.5223076 2.157733
## X178 -0.7558435 -0.6950617 1.6038953 2.1422621 -0.5223076 -0.462962
## X179 1.3216339 -0.6950617 -0.6228265 2.1422621 1.9125675 -0.462962
## X180 1.3216339 1.4372083 -0.6228265 2.1422621 1.9125675 -0.462962
## X181 1.3216339 -0.6950617 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X182 1.3216339 -0.6950617 1.6038953 -0.4663054 1.9125675 2.157733
## X183 -0.7558435 -0.6950617 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X184 -0.7558435 1.4372083 1.6038953 -0.4663054 1.9125675 -0.462962
## X185 1.3216339 1.4372083 -0.6228265 2.1422621 -0.5223076 -0.462962
## X186 1.3216339 1.4372083 1.6038953 -0.4663054 1.9125675 -0.462962
## X187 1.3216339 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X188 1.3216339 1.4372083 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X189 1.3216339 1.4372083 1.6038953 -0.4663054 -0.5223076 -0.462962
## X190 -0.7558435 1.4372083 -0.6228265 -0.4663054 -0.5223076 2.157733
## X191 1.3216339 -0.6950617 -0.6228265 -0.4663054 1.9125675 2.157733
## X192 -0.7558435 1.4372083 -0.6228265 -0.4663054 -0.5223076 2.157733
## X193 -0.7558435 1.4372083 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X194 1.3216339 -0.6950617 -0.6228265 -0.4663054 1.9125675 -0.462962
## X195 -0.7558435 1.4372083 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X196 1.3216339 -0.6950617 -0.6228265 -0.4663054 -0.5223076 2.157733
## X197 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 2.157733
## X198 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 2.157733
## X199 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X200 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X201 1.3216339 1.4372083 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X202 1.3216339 1.4372083 -0.6228265 2.1422621 -0.5223076 -0.462962
## X203 -0.7558435 1.4372083 -0.6228265 -0.4663054 -0.5223076 2.157733
## X204 -0.7558435 1.4372083 1.6038953 -0.4663054 -0.5223076 2.157733
## X205 -0.7558435 -0.6950617 1.6038953 -0.4663054 1.9125675 -0.462962
## X206 -0.7558435 1.4372083 1.6038953 -0.4663054 -0.5223076 -0.462962
## X207 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 2.157733
## X208 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X209 -0.7558435 1.4372083 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X210 1.3216339 1.4372083 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X211 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X212 1.3216339 -0.6950617 1.6038953 -0.4663054 -0.5223076 2.157733
## X213 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X214 -0.7558435 1.4372083 1.6038953 -0.4663054 -0.5223076 2.157733
## X215 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X216 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X217 -0.7558435 1.4372083 1.6038953 -0.4663054 -0.5223076 -0.462962
## X218 -0.7558435 1.4372083 -0.6228265 2.1422621 -0.5223076 -0.462962
## X219 1.3216339 -0.6950617 -0.6228265 2.1422621 -0.5223076 -0.462962
## X220 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X221 1.3216339 -0.6950617 -0.6228265 -0.4663054 1.9125675 -0.462962
## X222 1.3216339 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X223 -0.7558435 -0.6950617 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X224 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X225 -0.7558435 1.4372083 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X226 -0.7558435 -0.6950617 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X227 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X228 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X229 -0.7558435 -0.6950617 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X230 -0.7558435 -0.6950617 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X231 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X232 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X233 -0.7558435 1.4372083 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X234 1.3216339 -0.6950617 -0.6228265 -0.4663054 1.9125675 -0.462962
## X235 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X236 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 2.157733
## X237 -0.7558435 1.4372083 1.6038953 -0.4663054 -0.5223076 -0.462962
## X238 1.3216339 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X239 -0.7558435 -0.6950617 1.6038953 2.1422621 -0.5223076 -0.462962
## X240 1.3216339 1.4372083 1.6038953 2.1422621 1.9125675 -0.462962
## X241 1.3216339 -0.6950617 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X242 -0.7558435 1.4372083 1.6038953 -0.4663054 -0.5223076 -0.462962
## X243 -0.7558435 -0.6950617 -0.6228265 2.1422621 -0.5223076 -0.462962
## X244 -0.7558435 1.4372083 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X245 -0.7558435 1.4372083 1.6038953 2.1422621 -0.5223076 -0.462962
## X246 1.3216339 -0.6950617 -0.6228265 -0.4663054 -0.5223076 2.157733
## X247 -0.7558435 1.4372083 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X248 1.3216339 -0.6950617 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X249 1.3216339 -0.6950617 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X250 -0.7558435 1.4372083 1.6038953 2.1422621 -0.5223076 -0.462962
## X251 -0.7558435 -0.6950617 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X252 -0.7558435 1.4372083 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X253 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X254 1.3216339 1.4372083 -0.6228265 -0.4663054 1.9125675 -0.462962
## X255 -0.7558435 -0.6950617 1.6038953 2.1422621 -0.5223076 -0.462962
## X256 1.3216339 -0.6950617 -0.6228265 -0.4663054 1.9125675 2.157733
## X257 1.3216339 1.4372083 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X258 1.3216339 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X259 1.3216339 -0.6950617 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X260 -0.7558435 1.4372083 -0.6228265 2.1422621 -0.5223076 -0.462962
## X261 -0.7558435 1.4372083 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X262 1.3216339 -0.6950617 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X263 1.3216339 -0.6950617 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X264 -0.7558435 -0.6950617 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X265 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X266 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X267 -0.7558435 -0.6950617 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X268 1.3216339 -0.6950617 -0.6228265 -0.4663054 -0.5223076 2.157733
## X269 -0.7558435 1.4372083 -0.6228265 -0.4663054 -0.5223076 2.157733
## X270 1.3216339 1.4372083 -0.6228265 2.1422621 -0.5223076 2.157733
## X271 -0.7558435 1.4372083 1.6038953 2.1422621 -0.5223076 -0.462962
## X272 -0.7558435 1.4372083 1.6038953 -0.4663054 -0.5223076 2.157733
## X273 1.3216339 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X274 1.3216339 -0.6950617 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X275 1.3216339 -0.6950617 -0.6228265 2.1422621 -0.5223076 -0.462962
## X276 -0.7558435 -0.6950617 1.6038953 2.1422621 -0.5223076 -0.462962
## X277 1.3216339 1.4372083 -0.6228265 -0.4663054 1.9125675 -0.462962
## X278 -0.7558435 -0.6950617 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X279 -0.7558435 -0.6950617 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X280 -0.7558435 1.4372083 1.6038953 2.1422621 -0.5223076 -0.462962
## X281 -0.7558435 1.4372083 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X282 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X283 -0.7558435 1.4372083 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X284 1.3216339 1.4372083 -0.6228265 -0.4663054 1.9125675 -0.462962
## X285 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X286 -0.7558435 1.4372083 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X287 -0.7558435 1.4372083 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X288 -0.7558435 1.4372083 1.6038953 2.1422621 1.9125675 -0.462962
## X289 -0.7558435 1.4372083 -0.6228265 2.1422621 1.9125675 -0.462962
## X290 -0.7558435 -0.6950617 1.6038953 -0.4663054 1.9125675 -0.462962
## X291 1.3216339 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X292 -0.7558435 1.4372083 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X293 -0.7558435 -0.6950617 -0.6228265 2.1422621 -0.5223076 -0.462962
## X294 -0.7558435 1.4372083 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X295 -0.7558435 -0.6950617 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X296 -0.7558435 1.4372083 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X297 -0.7558435 1.4372083 -0.6228265 -0.4663054 -0.5223076 2.157733
## X298 1.3216339 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X299 1.3216339 -0.6950617 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X300 1.3216339 -0.6950617 -0.6228265 -0.4663054 1.9125675 -0.462962
## X301 -0.7558435 -0.6950617 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X302 -0.7558435 1.4372083 -0.6228265 2.1422621 -0.5223076 -0.462962
## X303 -0.7558435 -0.6950617 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X304 -0.7558435 1.4372083 1.6038953 -0.4663054 1.9125675 -0.462962
## X305 1.3216339 1.4372083 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X306 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X307 1.3216339 1.4372083 -0.6228265 -0.4663054 1.9125675 -0.462962
## X308 -0.7558435 1.4372083 -0.6228265 2.1422621 -0.5223076 -0.462962
## X309 1.3216339 1.4372083 -0.6228265 -0.4663054 1.9125675 -0.462962
## X310 1.3216339 -0.6950617 -0.6228265 -0.4663054 1.9125675 -0.462962
## X311 1.3216339 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X312 1.3216339 1.4372083 -0.6228265 2.1422621 1.9125675 -0.462962
## X313 1.3216339 -0.6950617 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X314 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X315 -0.7558435 1.4372083 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X316 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X317 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X318 -0.7558435 1.4372083 -0.6228265 -0.4663054 -0.5223076 2.157733
## X319 -0.7558435 -0.6950617 -0.6228265 -0.4663054 -0.5223076 2.157733
## X320 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X321 -0.7558435 1.4372083 -0.6228265 2.1422621 -0.5223076 -0.462962
## X322 -0.7558435 1.4372083 1.6038953 -0.4663054 -0.5223076 -0.462962
## X323 -0.7558435 -0.6950617 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X324 1.3216339 -0.6950617 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X325 -0.7558435 1.4372083 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X326 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X327 -0.7558435 1.4372083 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X328 -0.7558435 1.4372083 -0.6228265 2.1422621 -0.5223076 -0.462962
## X329 1.3216339 -0.6950617 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X330 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X331 -0.7558435 1.4372083 1.6038953 -0.4663054 -0.5223076 -0.462962
## X332 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X333 -0.7558435 1.4372083 1.6038953 -0.4663054 -0.5223076 2.157733
## X334 -0.7558435 1.4372083 1.6038953 -0.4663054 -0.5223076 2.157733
## X335 1.3216339 1.4372083 -0.6228265 -0.4663054 -0.5223076 2.157733
## X336 1.3216339 -0.6950617 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X337 -0.7558435 1.4372083 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X338 -0.7558435 -0.6950617 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X339 -0.7558435 1.4372083 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X340 -0.7558435 1.4372083 1.6038953 2.1422621 -0.5223076 -0.462962
## X341 1.3216339 -0.6950617 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X342 -0.7558435 1.4372083 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X343 1.3216339 1.4372083 -0.6228265 -0.4663054 -0.5223076 2.157733
## X344 -0.7558435 1.4372083 -0.6228265 -0.4663054 -0.5223076 2.157733
## X345 -0.7558435 -0.6950617 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X346 1.3216339 -0.6950617 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X347 1.3216339 -0.6950617 -0.6228265 2.1422621 1.9125675 -0.462962
## X348 1.3216339 1.4372083 -0.6228265 -0.4663054 1.9125675 -0.462962
## X349 1.3216339 1.4372083 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X350 -0.7558435 1.4372083 1.6038953 -0.4663054 1.9125675 -0.462962
## X351 1.3216339 -0.6950617 -0.6228265 -0.4663054 -0.5223076 2.157733
## X352 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 2.157733
## X353 1.3216339 1.4372083 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X354 1.3216339 1.4372083 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X355 1.3216339 -0.6950617 -0.6228265 2.1422621 -0.5223076 -0.462962
## X356 -0.7558435 1.4372083 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X357 -0.7558435 1.4372083 -0.6228265 -0.4663054 -0.5223076 2.157733
## X358 1.3216339 -0.6950617 -0.6228265 2.1422621 -0.5223076 -0.462962
## X359 1.3216339 -0.6950617 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X360 1.3216339 -0.6950617 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X361 1.3216339 1.4372083 -0.6228265 -0.4663054 -0.5223076 2.157733
## X362 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X363 -0.7558435 1.4372083 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X364 1.3216339 -0.6950617 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X365 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X366 -0.7558435 1.4372083 1.6038953 -0.4663054 -0.5223076 -0.462962
## X367 -0.7558435 1.4372083 1.6038953 -0.4663054 -0.5223076 -0.462962
## X368 1.3216339 -0.6950617 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X369 -0.7558435 -0.6950617 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X370 -0.7558435 1.4372083 1.6038953 -0.4663054 1.9125675 -0.462962
## X371 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X372 -0.7558435 1.4372083 -0.6228265 2.1422621 -0.5223076 -0.462962
## X373 -0.7558435 -0.6950617 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X374 -0.7558435 1.4372083 1.6038953 -0.4663054 1.9125675 -0.462962
## X375 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X376 1.3216339 -0.6950617 1.6038953 -0.4663054 1.9125675 -0.462962
## X377 1.3216339 -0.6950617 -0.6228265 2.1422621 1.9125675 -0.462962
## X378 1.3216339 1.4372083 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X379 1.3216339 -0.6950617 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X380 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X381 1.3216339 -0.6950617 1.6038953 2.1422621 -0.5223076 -0.462962
## X382 1.3216339 1.4372083 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X383 1.3216339 -0.6950617 1.6038953 -0.4663054 1.9125675 -0.462962
## X384 1.3216339 -0.6950617 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X385 -0.7558435 1.4372083 -0.6228265 2.1422621 -0.5223076 -0.462962
## X386 -0.7558435 1.4372083 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X387 1.3216339 -0.6950617 -0.6228265 2.1422621 -0.5223076 -0.462962
## X388 -0.7558435 1.4372083 1.6038953 2.1422621 1.9125675 -0.462962
## X389 -0.7558435 -0.6950617 -0.6228265 -0.4663054 1.9125675 -0.462962
## X390 1.3216339 -0.6950617 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X391 1.3216339 -0.6950617 -0.6228265 2.1422621 1.9125675 -0.462962
## X392 1.3216339 1.4372083 -0.6228265 -0.4663054 -0.5223076 2.157733
## X393 1.3216339 1.4372083 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X394 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X395 1.3216339 1.4372083 -0.6228265 -0.4663054 -0.5223076 2.157733
## X396 1.3216339 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X397 -0.7558435 1.4372083 -0.6228265 -0.4663054 1.9125675 -0.462962
## X398 1.3216339 -0.6950617 -0.6228265 -0.4663054 1.9125675 -0.462962
## X399 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X400 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X401 1.3216339 1.4372083 -0.6228265 -0.4663054 1.9125675 -0.462962
## X402 -0.7558435 1.4372083 -0.6228265 2.1422621 1.9125675 -0.462962
## X403 1.3216339 1.4372083 -0.6228265 2.1422621 -0.5223076 -0.462962
## X404 1.3216339 -0.6950617 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X405 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X406 -0.7558435 1.4372083 -0.6228265 2.1422621 -0.5223076 -0.462962
## X407 -0.7558435 1.4372083 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X408 1.3216339 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X409 1.3216339 -0.6950617 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X410 -0.7558435 1.4372083 1.6038953 -0.4663054 1.9125675 -0.462962
## X411 1.3216339 1.4372083 -0.6228265 2.1422621 1.9125675 -0.462962
## X412 -0.7558435 1.4372083 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X413 -0.7558435 -0.6950617 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X414 1.3216339 -0.6950617 -0.6228265 -0.4663054 1.9125675 -0.462962
## X415 -0.7558435 1.4372083 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X416 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X417 -0.7558435 1.4372083 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X418 -0.7558435 1.4372083 -0.6228265 2.1422621 -0.5223076 -0.462962
## X419 -0.7558435 1.4372083 -0.6228265 -0.4663054 1.9125675 -0.462962
## X420 -0.7558435 1.4372083 1.6038953 -0.4663054 -0.5223076 -0.462962
## X421 -0.7558435 1.4372083 -0.6228265 2.1422621 -0.5223076 -0.462962
## X422 -0.7558435 -0.6950617 1.6038953 2.1422621 -0.5223076 -0.462962
## X423 1.3216339 -0.6950617 -0.6228265 -0.4663054 1.9125675 -0.462962
## X424 -0.7558435 1.4372083 -0.6228265 2.1422621 -0.5223076 -0.462962
## X425 1.3216339 -0.6950617 -0.6228265 -0.4663054 1.9125675 -0.462962
## X426 -0.7558435 1.4372083 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X427 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X428 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X429 1.3216339 1.4372083 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X430 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X431 -0.7558435 1.4372083 1.6038953 -0.4663054 -0.5223076 -0.462962
## X432 -0.7558435 1.4372083 1.6038953 2.1422621 -0.5223076 -0.462962
## X433 1.3216339 -0.6950617 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X434 -0.7558435 -0.6950617 1.6038953 -0.4663054 1.9125675 -0.462962
## X435 1.3216339 -0.6950617 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X436 -0.7558435 1.4372083 1.6038953 -0.4663054 -0.5223076 -0.462962
## X437 1.3216339 -0.6950617 -0.6228265 2.1422621 1.9125675 2.157733
## X438 1.3216339 -0.6950617 -0.6228265 -0.4663054 1.9125675 -0.462962
## X439 1.3216339 -0.6950617 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X440 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X441 1.3216339 -0.6950617 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X442 1.3216339 1.4372083 -0.6228265 2.1422621 1.9125675 -0.462962
## X443 1.3216339 1.4372083 1.6038953 -0.4663054 1.9125675 -0.462962
## X444 1.3216339 -0.6950617 -0.6228265 -0.4663054 1.9125675 2.157733
## X445 1.3216339 -0.6950617 -0.6228265 -0.4663054 -0.5223076 2.157733
## X446 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 2.157733
## X447 1.3216339 -0.6950617 -0.6228265 -0.4663054 -0.5223076 2.157733
## X448 1.3216339 -0.6950617 -0.6228265 -0.4663054 -0.5223076 2.157733
## X449 1.3216339 1.4372083 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X450 -0.7558435 -0.6950617 1.6038953 -0.4663054 -0.5223076 -0.462962
## X451 1.3216339 -0.6950617 -0.6228265 2.1422621 -0.5223076 -0.462962
## X452 1.3216339 1.4372083 -0.6228265 2.1422621 -0.5223076 -0.462962
## X453 -0.7558435 1.4372083 -0.6228265 -0.4663054 -0.5223076 -0.462962
## X454 -0.7558435 1.4372083 -0.6228265 2.1422621 -0.5223076 2.157733
## FP013 FP014 FP015 FP016 FP017 FP018
## X1 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X2 -0.4461321 -0.4376388 0.4030145 2.4156953 -0.4100338 2.5692512
## X3 -0.4461321 -0.4376388 0.4030145 -0.4135242 2.4362590 -0.3888092
## X4 -0.4461321 -0.4376388 0.4030145 -0.4135242 2.4362590 -0.3888092
## X5 2.2391315 -0.4376388 0.4030145 2.4156953 -0.4100338 -0.3888092
## X6 -0.4461321 -0.4376388 0.4030145 2.4156953 -0.4100338 -0.3888092
## X7 2.2391315 2.2825867 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X8 -0.4461321 -0.4376388 0.4030145 2.4156953 -0.4100338 -0.3888092
## X9 -0.4461321 -0.4376388 0.4030145 -0.4135242 2.4362590 -0.3888092
## X10 -0.4461321 -0.4376388 0.4030145 -0.4135242 2.4362590 -0.3888092
## X11 -0.4461321 -0.4376388 0.4030145 -0.4135242 2.4362590 -0.3888092
## X12 -0.4461321 -0.4376388 0.4030145 -0.4135242 2.4362590 -0.3888092
## X13 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X14 2.2391315 2.2825867 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X15 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X16 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 2.5692512
## X17 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X18 2.2391315 2.2825867 0.4030145 2.4156953 -0.4100338 2.5692512
## X19 -0.4461321 -0.4376388 0.4030145 -0.4135242 2.4362590 -0.3888092
## X20 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X21 2.2391315 2.2825867 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X22 -0.4461321 -0.4376388 0.4030145 2.4156953 -0.4100338 2.5692512
## X23 -0.4461321 -0.4376388 0.4030145 2.4156953 -0.4100338 2.5692512
## X24 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X25 -0.4461321 -0.4376388 0.4030145 2.4156953 -0.4100338 -0.3888092
## X26 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X27 -0.4461321 -0.4376388 0.4030145 2.4156953 2.4362590 2.5692512
## X28 -0.4461321 -0.4376388 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X29 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 2.5692512
## X30 2.2391315 2.2825867 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X31 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X32 -0.4461321 -0.4376388 0.4030145 -0.4135242 2.4362590 -0.3888092
## X33 -0.4461321 -0.4376388 0.4030145 -0.4135242 2.4362590 -0.3888092
## X34 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X35 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 2.5692512
## X36 -0.4461321 -0.4376388 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X37 -0.4461321 -0.4376388 0.4030145 -0.4135242 2.4362590 -0.3888092
## X38 -0.4461321 -0.4376388 0.4030145 -0.4135242 2.4362590 -0.3888092
## X39 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X40 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X41 -0.4461321 -0.4376388 0.4030145 2.4156953 2.4362590 -0.3888092
## X42 2.2391315 2.2825867 0.4030145 2.4156953 -0.4100338 -0.3888092
## X43 2.2391315 2.2825867 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X44 2.2391315 2.2825867 0.4030145 2.4156953 -0.4100338 2.5692512
## X45 2.2391315 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X46 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X47 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X48 -0.4461321 -0.4376388 -2.4786909 -0.4135242 -0.4100338 2.5692512
## X49 2.2391315 2.2825867 -2.4786909 -0.4135242 -0.4100338 2.5692512
## X50 2.2391315 2.2825867 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X51 2.2391315 2.2825867 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X52 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X53 2.2391315 2.2825867 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X54 2.2391315 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X55 2.2391315 2.2825867 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X56 -0.4461321 -0.4376388 0.4030145 -0.4135242 2.4362590 -0.3888092
## X57 -0.4461321 -0.4376388 0.4030145 2.4156953 -0.4100338 -0.3888092
## X58 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 2.5692512
## X59 2.2391315 2.2825867 0.4030145 -0.4135242 2.4362590 2.5692512
## X60 2.2391315 2.2825867 0.4030145 -0.4135242 -0.4100338 2.5692512
## X61 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X62 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X63 2.2391315 2.2825867 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X64 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X65 -0.4461321 -0.4376388 0.4030145 2.4156953 2.4362590 -0.3888092
## X66 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X67 2.2391315 2.2825867 0.4030145 2.4156953 -0.4100338 2.5692512
## X68 -0.4461321 -0.4376388 0.4030145 -0.4135242 2.4362590 -0.3888092
## X69 -0.4461321 -0.4376388 0.4030145 -0.4135242 2.4362590 -0.3888092
## X70 -0.4461321 -0.4376388 0.4030145 2.4156953 2.4362590 2.5692512
## X71 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X72 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X73 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 2.5692512
## X74 -0.4461321 -0.4376388 0.4030145 2.4156953 -0.4100338 -0.3888092
## X75 2.2391315 2.2825867 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X76 -0.4461321 -0.4376388 0.4030145 -0.4135242 2.4362590 -0.3888092
## X77 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X78 2.2391315 2.2825867 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X79 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X80 2.2391315 2.2825867 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X81 -0.4461321 -0.4376388 0.4030145 -0.4135242 2.4362590 -0.3888092
## X82 -0.4461321 -0.4376388 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X83 2.2391315 2.2825867 0.4030145 2.4156953 -0.4100338 2.5692512
## X84 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X85 2.2391315 2.2825867 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X86 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X87 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X88 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X89 2.2391315 2.2825867 0.4030145 -0.4135242 -0.4100338 2.5692512
## X90 -0.4461321 -0.4376388 0.4030145 2.4156953 -0.4100338 -0.3888092
## X91 -0.4461321 -0.4376388 0.4030145 -0.4135242 2.4362590 -0.3888092
## X92 -0.4461321 -0.4376388 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X93 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X94 -0.4461321 -0.4376388 0.4030145 -0.4135242 2.4362590 -0.3888092
## X95 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X96 2.2391315 2.2825867 0.4030145 -0.4135242 -0.4100338 2.5692512
## X97 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X98 2.2391315 2.2825867 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X99 -0.4461321 -0.4376388 0.4030145 -0.4135242 2.4362590 -0.3888092
## X100 2.2391315 2.2825867 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X101 2.2391315 2.2825867 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X102 -0.4461321 -0.4376388 0.4030145 2.4156953 -0.4100338 2.5692512
## X103 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X104 -0.4461321 -0.4376388 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X105 -0.4461321 -0.4376388 0.4030145 -0.4135242 2.4362590 -0.3888092
## X106 -0.4461321 -0.4376388 0.4030145 -0.4135242 2.4362590 -0.3888092
## X107 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 2.5692512
## X108 -0.4461321 -0.4376388 0.4030145 2.4156953 2.4362590 -0.3888092
## X109 -0.4461321 -0.4376388 0.4030145 2.4156953 -0.4100338 -0.3888092
## X110 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 2.5692512
## X111 -0.4461321 -0.4376388 0.4030145 2.4156953 -0.4100338 -0.3888092
## X112 -0.4461321 -0.4376388 0.4030145 -0.4135242 2.4362590 -0.3888092
## X113 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X114 2.2391315 2.2825867 0.4030145 -0.4135242 -0.4100338 2.5692512
## X115 2.2391315 2.2825867 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X116 2.2391315 2.2825867 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X117 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X118 2.2391315 2.2825867 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X119 -0.4461321 -0.4376388 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X120 -0.4461321 -0.4376388 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X121 -0.4461321 -0.4376388 0.4030145 -0.4135242 2.4362590 -0.3888092
## X122 2.2391315 2.2825867 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X123 -0.4461321 -0.4376388 0.4030145 2.4156953 -0.4100338 -0.3888092
## X124 2.2391315 2.2825867 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X125 2.2391315 2.2825867 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X126 2.2391315 2.2825867 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X127 2.2391315 2.2825867 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X128 2.2391315 2.2825867 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X129 2.2391315 2.2825867 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X130 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X131 -0.4461321 -0.4376388 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X132 2.2391315 2.2825867 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X133 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X134 2.2391315 2.2825867 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X135 -0.4461321 -0.4376388 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X136 2.2391315 2.2825867 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X137 2.2391315 2.2825867 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X138 -0.4461321 -0.4376388 0.4030145 2.4156953 2.4362590 -0.3888092
## X139 2.2391315 2.2825867 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X140 -0.4461321 -0.4376388 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X141 2.2391315 2.2825867 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X142 2.2391315 2.2825867 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X143 2.2391315 2.2825867 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X144 2.2391315 2.2825867 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X145 2.2391315 2.2825867 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X146 2.2391315 2.2825867 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X147 2.2391315 2.2825867 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X148 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X149 -0.4461321 -0.4376388 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X150 2.2391315 2.2825867 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X151 -0.4461321 -0.4376388 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X152 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X153 2.2391315 2.2825867 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X154 2.2391315 2.2825867 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X155 2.2391315 2.2825867 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X156 -0.4461321 -0.4376388 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X157 2.2391315 2.2825867 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X158 2.2391315 2.2825867 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X159 2.2391315 2.2825867 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X160 -0.4461321 -0.4376388 -2.4786909 -0.4135242 -0.4100338 2.5692512
## X161 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X162 -0.4461321 -0.4376388 0.4030145 -0.4135242 2.4362590 -0.3888092
## X163 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X164 -0.4461321 -0.4376388 0.4030145 2.4156953 2.4362590 -0.3888092
## X165 2.2391315 2.2825867 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X166 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X167 2.2391315 2.2825867 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X168 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X169 -0.4461321 -0.4376388 0.4030145 2.4156953 -0.4100338 -0.3888092
## X170 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 2.5692512
## X171 -0.4461321 -0.4376388 0.4030145 2.4156953 2.4362590 -0.3888092
## X172 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X173 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X174 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X175 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X176 -0.4461321 -0.4376388 0.4030145 2.4156953 -0.4100338 2.5692512
## X177 -0.4461321 -0.4376388 0.4030145 -0.4135242 2.4362590 -0.3888092
## X178 2.2391315 2.2825867 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X179 -0.4461321 -0.4376388 0.4030145 -0.4135242 2.4362590 -0.3888092
## X180 -0.4461321 -0.4376388 0.4030145 -0.4135242 2.4362590 -0.3888092
## X181 -0.4461321 -0.4376388 0.4030145 2.4156953 -0.4100338 2.5692512
## X182 -0.4461321 -0.4376388 0.4030145 -0.4135242 2.4362590 -0.3888092
## X183 -0.4461321 -0.4376388 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X184 2.2391315 2.2825867 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X185 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X186 2.2391315 2.2825867 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X187 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X188 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X189 -0.4461321 -0.4376388 0.4030145 2.4156953 -0.4100338 2.5692512
## X190 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 2.5692512
## X191 -0.4461321 -0.4376388 0.4030145 2.4156953 2.4362590 -0.3888092
## X192 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 2.5692512
## X193 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X194 -0.4461321 -0.4376388 0.4030145 -0.4135242 2.4362590 -0.3888092
## X195 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X196 -0.4461321 -0.4376388 0.4030145 -0.4135242 2.4362590 -0.3888092
## X197 2.2391315 2.2825867 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X198 -0.4461321 -0.4376388 0.4030145 2.4156953 -0.4100338 -0.3888092
## X199 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X200 2.2391315 2.2825867 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X201 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X202 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X203 -0.4461321 -0.4376388 0.4030145 -0.4135242 2.4362590 2.5692512
## X204 -0.4461321 -0.4376388 0.4030145 2.4156953 -0.4100338 2.5692512
## X205 -0.4461321 -0.4376388 0.4030145 -0.4135242 2.4362590 -0.3888092
## X206 2.2391315 2.2825867 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X207 2.2391315 2.2825867 0.4030145 2.4156953 -0.4100338 2.5692512
## X208 2.2391315 2.2825867 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X209 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X210 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X211 2.2391315 2.2825867 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X212 -0.4461321 -0.4376388 0.4030145 -0.4135242 2.4362590 -0.3888092
## X213 2.2391315 2.2825867 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X214 -0.4461321 -0.4376388 0.4030145 -0.4135242 2.4362590 2.5692512
## X215 -0.4461321 -0.4376388 0.4030145 -0.4135242 2.4362590 -0.3888092
## X216 2.2391315 2.2825867 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X217 2.2391315 2.2825867 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X218 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 2.5692512
## X219 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X220 2.2391315 2.2825867 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X221 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X222 -0.4461321 -0.4376388 0.4030145 -0.4135242 2.4362590 -0.3888092
## X223 -0.4461321 -0.4376388 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X224 2.2391315 2.2825867 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X225 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X226 -0.4461321 -0.4376388 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X227 2.2391315 2.2825867 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X228 2.2391315 2.2825867 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X229 -0.4461321 -0.4376388 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X230 -0.4461321 -0.4376388 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X231 2.2391315 2.2825867 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X232 2.2391315 2.2825867 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X233 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X234 -0.4461321 -0.4376388 0.4030145 -0.4135242 2.4362590 -0.3888092
## X235 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X236 2.2391315 2.2825867 0.4030145 2.4156953 -0.4100338 -0.3888092
## X237 2.2391315 2.2825867 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X238 -0.4461321 -0.4376388 0.4030145 -0.4135242 2.4362590 -0.3888092
## X239 2.2391315 2.2825867 0.4030145 2.4156953 -0.4100338 2.5692512
## X240 2.2391315 2.2825867 0.4030145 -0.4135242 2.4362590 -0.3888092
## X241 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X242 2.2391315 2.2825867 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X243 -0.4461321 -0.4376388 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X244 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X245 2.2391315 2.2825867 0.4030145 -0.4135242 -0.4100338 2.5692512
## X246 -0.4461321 -0.4376388 0.4030145 2.4156953 -0.4100338 -0.3888092
## X247 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 2.5692512
## X248 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X249 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X250 2.2391315 2.2825867 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X251 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X252 -0.4461321 -0.4376388 0.4030145 2.4156953 -0.4100338 2.5692512
## X253 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X254 -0.4461321 -0.4376388 0.4030145 -0.4135242 2.4362590 2.5692512
## X255 2.2391315 2.2825867 0.4030145 2.4156953 -0.4100338 2.5692512
## X256 -0.4461321 -0.4376388 0.4030145 2.4156953 -0.4100338 -0.3888092
## X257 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X258 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X259 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X260 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X261 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X262 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X263 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X264 -0.4461321 -0.4376388 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X265 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X266 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X267 -0.4461321 -0.4376388 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X268 -0.4461321 -0.4376388 0.4030145 2.4156953 -0.4100338 -0.3888092
## X269 -0.4461321 -0.4376388 0.4030145 2.4156953 -0.4100338 2.5692512
## X270 -0.4461321 -0.4376388 0.4030145 2.4156953 -0.4100338 -0.3888092
## X271 2.2391315 2.2825867 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X272 -0.4461321 -0.4376388 0.4030145 2.4156953 -0.4100338 2.5692512
## X273 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X274 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X275 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X276 2.2391315 2.2825867 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X277 -0.4461321 -0.4376388 0.4030145 -0.4135242 2.4362590 2.5692512
## X278 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X279 -0.4461321 -0.4376388 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X280 2.2391315 2.2825867 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X281 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X282 2.2391315 2.2825867 0.4030145 -0.4135242 -0.4100338 2.5692512
## X283 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X284 -0.4461321 -0.4376388 0.4030145 -0.4135242 2.4362590 2.5692512
## X285 2.2391315 2.2825867 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X286 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X287 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 2.5692512
## X288 2.2391315 2.2825867 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X289 -0.4461321 -0.4376388 0.4030145 -0.4135242 2.4362590 -0.3888092
## X290 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 2.5692512
## X291 -0.4461321 -0.4376388 0.4030145 -0.4135242 2.4362590 -0.3888092
## X292 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X293 -0.4461321 -0.4376388 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X294 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 2.5692512
## X295 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 2.5692512
## X296 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X297 -0.4461321 -0.4376388 0.4030145 2.4156953 -0.4100338 -0.3888092
## X298 2.2391315 2.2825867 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X299 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X300 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X301 -0.4461321 -0.4376388 0.4030145 2.4156953 -0.4100338 2.5692512
## X302 -0.4461321 -0.4376388 0.4030145 -0.4135242 2.4362590 -0.3888092
## X303 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X304 2.2391315 2.2825867 0.4030145 -0.4135242 -0.4100338 2.5692512
## X305 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X306 2.2391315 2.2825867 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X307 -0.4461321 -0.4376388 0.4030145 -0.4135242 2.4362590 -0.3888092
## X308 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 2.5692512
## X309 -0.4461321 -0.4376388 0.4030145 -0.4135242 2.4362590 -0.3888092
## X310 -0.4461321 -0.4376388 0.4030145 -0.4135242 2.4362590 -0.3888092
## X311 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X312 -0.4461321 -0.4376388 0.4030145 -0.4135242 2.4362590 -0.3888092
## X313 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X314 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X315 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 2.5692512
## X316 2.2391315 2.2825867 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X317 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X318 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 2.5692512
## X319 -0.4461321 -0.4376388 0.4030145 2.4156953 -0.4100338 -0.3888092
## X320 2.2391315 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X321 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 2.5692512
## X322 2.2391315 2.2825867 0.4030145 -0.4135242 -0.4100338 2.5692512
## X323 -0.4461321 -0.4376388 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X324 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X325 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X326 2.2391315 2.2825867 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X327 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X328 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X329 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X330 2.2391315 2.2825867 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X331 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X332 2.2391315 2.2825867 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X333 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 2.5692512
## X334 2.2391315 2.2825867 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X335 -0.4461321 -0.4376388 0.4030145 2.4156953 -0.4100338 -0.3888092
## X336 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X337 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X338 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 2.5692512
## X339 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X340 2.2391315 2.2825867 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X341 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X342 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X343 -0.4461321 -0.4376388 0.4030145 2.4156953 2.4362590 2.5692512
## X344 -0.4461321 -0.4376388 0.4030145 2.4156953 -0.4100338 -0.3888092
## X345 -0.4461321 -0.4376388 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X346 -0.4461321 -0.4376388 0.4030145 -0.4135242 2.4362590 -0.3888092
## X347 -0.4461321 -0.4376388 0.4030145 -0.4135242 2.4362590 -0.3888092
## X348 -0.4461321 -0.4376388 0.4030145 -0.4135242 2.4362590 2.5692512
## X349 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X350 2.2391315 2.2825867 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X351 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X352 -0.4461321 -0.4376388 0.4030145 2.4156953 -0.4100338 -0.3888092
## X353 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X354 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 2.5692512
## X355 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X356 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X357 -0.4461321 -0.4376388 0.4030145 2.4156953 -0.4100338 2.5692512
## X358 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X359 -0.4461321 -0.4376388 0.4030145 -0.4135242 2.4362590 -0.3888092
## X360 -0.4461321 -0.4376388 0.4030145 -0.4135242 2.4362590 -0.3888092
## X361 -0.4461321 -0.4376388 0.4030145 2.4156953 -0.4100338 -0.3888092
## X362 2.2391315 2.2825867 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X363 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X364 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X365 2.2391315 2.2825867 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X366 2.2391315 2.2825867 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X367 2.2391315 2.2825867 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X368 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X369 -0.4461321 -0.4376388 0.4030145 2.4156953 -0.4100338 2.5692512
## X370 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X371 2.2391315 2.2825867 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X372 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X373 -0.4461321 -0.4376388 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X374 2.2391315 2.2825867 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X375 2.2391315 2.2825867 0.4030145 -0.4135242 -0.4100338 2.5692512
## X376 -0.4461321 -0.4376388 0.4030145 -0.4135242 2.4362590 -0.3888092
## X377 -0.4461321 -0.4376388 0.4030145 -0.4135242 2.4362590 -0.3888092
## X378 -0.4461321 -0.4376388 0.4030145 2.4156953 -0.4100338 2.5692512
## X379 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X380 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X381 2.2391315 2.2825867 0.4030145 2.4156953 -0.4100338 2.5692512
## X382 -0.4461321 -0.4376388 0.4030145 2.4156953 -0.4100338 -0.3888092
## X383 -0.4461321 -0.4376388 0.4030145 -0.4135242 2.4362590 -0.3888092
## X384 -0.4461321 -0.4376388 0.4030145 -0.4135242 2.4362590 -0.3888092
## X385 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X386 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X387 -0.4461321 -0.4376388 0.4030145 -0.4135242 2.4362590 2.5692512
## X388 2.2391315 2.2825867 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X389 -0.4461321 -0.4376388 0.4030145 2.4156953 -0.4100338 2.5692512
## X390 -0.4461321 -0.4376388 0.4030145 -0.4135242 2.4362590 2.5692512
## X391 -0.4461321 -0.4376388 0.4030145 -0.4135242 2.4362590 -0.3888092
## X392 -0.4461321 -0.4376388 0.4030145 2.4156953 -0.4100338 2.5692512
## X393 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X394 2.2391315 2.2825867 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X395 -0.4461321 -0.4376388 0.4030145 2.4156953 -0.4100338 -0.3888092
## X396 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X397 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X398 -0.4461321 -0.4376388 0.4030145 -0.4135242 2.4362590 -0.3888092
## X399 2.2391315 2.2825867 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X400 2.2391315 2.2825867 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X401 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X402 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X403 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X404 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X405 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X406 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X407 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X408 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X409 -0.4461321 -0.4376388 0.4030145 -0.4135242 2.4362590 -0.3888092
## X410 2.2391315 2.2825867 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X411 -0.4461321 -0.4376388 0.4030145 2.4156953 -0.4100338 2.5692512
## X412 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X413 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 2.5692512
## X414 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X415 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X416 2.2391315 2.2825867 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X417 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X418 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X419 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X420 2.2391315 2.2825867 0.4030145 -0.4135242 -0.4100338 2.5692512
## X421 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X422 2.2391315 2.2825867 0.4030145 2.4156953 -0.4100338 2.5692512
## X423 -0.4461321 -0.4376388 0.4030145 -0.4135242 2.4362590 -0.3888092
## X424 -0.4461321 -0.4376388 0.4030145 2.4156953 -0.4100338 -0.3888092
## X425 -0.4461321 -0.4376388 0.4030145 -0.4135242 2.4362590 -0.3888092
## X426 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X427 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X428 2.2391315 2.2825867 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X429 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X430 2.2391315 2.2825867 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X431 2.2391315 2.2825867 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X432 2.2391315 2.2825867 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X433 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X434 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 2.5692512
## X435 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X436 2.2391315 2.2825867 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X437 -0.4461321 -0.4376388 0.4030145 -0.4135242 2.4362590 -0.3888092
## X438 -0.4461321 -0.4376388 0.4030145 -0.4135242 2.4362590 -0.3888092
## X439 -0.4461321 -0.4376388 0.4030145 -0.4135242 2.4362590 -0.3888092
## X440 2.2391315 2.2825867 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X441 -0.4461321 -0.4376388 0.4030145 -0.4135242 2.4362590 2.5692512
## X442 -0.4461321 -0.4376388 0.4030145 -0.4135242 2.4362590 2.5692512
## X443 2.2391315 2.2825867 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X444 -0.4461321 -0.4376388 0.4030145 2.4156953 -0.4100338 -0.3888092
## X445 -0.4461321 -0.4376388 0.4030145 2.4156953 -0.4100338 -0.3888092
## X446 2.2391315 2.2825867 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X447 -0.4461321 -0.4376388 0.4030145 2.4156953 -0.4100338 -0.3888092
## X448 -0.4461321 -0.4376388 0.4030145 2.4156953 -0.4100338 -0.3888092
## X449 -0.4461321 -0.4376388 0.4030145 2.4156953 -0.4100338 2.5692512
## X450 2.2391315 2.2825867 -2.4786909 -0.4135242 -0.4100338 -0.3888092
## X451 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 -0.3888092
## X452 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 2.5692512
## X453 -0.4461321 -0.4376388 0.4030145 -0.4135242 -0.4100338 2.5692512
## X454 -0.4461321 -0.4376388 0.4030145 2.4156953 2.4362590 2.5692512
## FP019 FP020 FP021 FP022 FP023 FP024
## X1 2.6815493 -0.3688597 -0.3706955 -0.3406978 -0.3743531 2.8070547
## X2 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X3 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X4 -0.3725266 -0.3688597 -0.3706955 -0.3406978 2.6684658 -0.3558707
## X5 2.6815493 -0.3688597 -0.3706955 -0.3406978 -0.3743531 2.8070547
## X6 -0.3725266 -0.3688597 2.6947952 -0.3406978 -0.3743531 -0.3558707
## X7 2.6815493 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X8 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X9 -0.3725266 -0.3688597 2.6947952 -0.3406978 2.6684658 -0.3558707
## X10 -0.3725266 -0.3688597 -0.3706955 2.9320660 -0.3743531 -0.3558707
## X11 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X12 -0.3725266 -0.3688597 -0.3706955 -0.3406978 2.6684658 -0.3558707
## X13 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X14 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X15 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X16 -0.3725266 2.7082069 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X17 2.6815493 -0.3688597 -0.3706955 -0.3406978 -0.3743531 2.8070547
## X18 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X19 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X20 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X21 -0.3725266 2.7082069 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X22 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X23 -0.3725266 -0.3688597 2.6947952 -0.3406978 -0.3743531 -0.3558707
## X24 -0.3725266 -0.3688597 2.6947952 -0.3406978 -0.3743531 -0.3558707
## X25 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X26 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X27 -0.3725266 2.7082069 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X28 2.6815493 -0.3688597 -0.3706955 2.9320660 -0.3743531 2.8070547
## X29 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X30 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X31 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X32 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X33 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X34 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X35 -0.3725266 2.7082069 -0.3706955 -0.3406978 2.6684658 -0.3558707
## X36 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X37 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X38 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X39 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X40 -0.3725266 -0.3688597 2.6947952 2.9320660 -0.3743531 -0.3558707
## X41 -0.3725266 -0.3688597 -0.3706955 -0.3406978 2.6684658 -0.3558707
## X42 -0.3725266 -0.3688597 2.6947952 2.9320660 -0.3743531 -0.3558707
## X43 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X44 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X45 2.6815493 -0.3688597 -0.3706955 -0.3406978 -0.3743531 2.8070547
## X46 -0.3725266 2.7082069 2.6947952 -0.3406978 -0.3743531 -0.3558707
## X47 -0.3725266 -0.3688597 -0.3706955 -0.3406978 2.6684658 -0.3558707
## X48 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X49 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X50 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X51 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X52 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X53 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X54 2.6815493 -0.3688597 -0.3706955 -0.3406978 -0.3743531 2.8070547
## X55 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X56 -0.3725266 -0.3688597 -0.3706955 -0.3406978 2.6684658 -0.3558707
## X57 -0.3725266 -0.3688597 -0.3706955 2.9320660 -0.3743531 -0.3558707
## X58 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X59 -0.3725266 2.7082069 -0.3706955 -0.3406978 2.6684658 -0.3558707
## X60 2.6815493 2.7082069 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X61 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X62 -0.3725266 2.7082069 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X63 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X64 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X65 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X66 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X67 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X68 -0.3725266 -0.3688597 2.6947952 -0.3406978 2.6684658 -0.3558707
## X69 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X70 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X71 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X72 -0.3725266 -0.3688597 2.6947952 -0.3406978 -0.3743531 -0.3558707
## X73 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X74 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X75 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X76 -0.3725266 -0.3688597 2.6947952 -0.3406978 2.6684658 -0.3558707
## X77 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X78 -0.3725266 -0.3688597 -0.3706955 2.9320660 -0.3743531 -0.3558707
## X79 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X80 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X81 -0.3725266 -0.3688597 2.6947952 -0.3406978 2.6684658 -0.3558707
## X82 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X83 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X84 -0.3725266 -0.3688597 2.6947952 -0.3406978 -0.3743531 -0.3558707
## X85 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X86 -0.3725266 -0.3688597 -0.3706955 -0.3406978 2.6684658 -0.3558707
## X87 -0.3725266 -0.3688597 2.6947952 -0.3406978 -0.3743531 -0.3558707
## X88 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X89 -0.3725266 2.7082069 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X90 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X91 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X92 -0.3725266 -0.3688597 -0.3706955 2.9320660 -0.3743531 -0.3558707
## X93 -0.3725266 -0.3688597 2.6947952 -0.3406978 -0.3743531 -0.3558707
## X94 -0.3725266 2.7082069 -0.3706955 -0.3406978 2.6684658 -0.3558707
## X95 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X96 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X97 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X98 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X99 -0.3725266 -0.3688597 -0.3706955 -0.3406978 2.6684658 -0.3558707
## X100 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X101 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X102 -0.3725266 -0.3688597 2.6947952 -0.3406978 -0.3743531 -0.3558707
## X103 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X104 2.6815493 -0.3688597 -0.3706955 -0.3406978 -0.3743531 2.8070547
## X105 -0.3725266 -0.3688597 2.6947952 -0.3406978 2.6684658 -0.3558707
## X106 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X107 -0.3725266 2.7082069 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X108 -0.3725266 -0.3688597 -0.3706955 -0.3406978 2.6684658 -0.3558707
## X109 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X110 2.6815493 2.7082069 -0.3706955 -0.3406978 2.6684658 -0.3558707
## X111 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X112 -0.3725266 -0.3688597 2.6947952 -0.3406978 2.6684658 -0.3558707
## X113 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X114 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X115 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X116 -0.3725266 -0.3688597 -0.3706955 2.9320660 -0.3743531 -0.3558707
## X117 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X118 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X119 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X120 -0.3725266 -0.3688597 -0.3706955 2.9320660 -0.3743531 -0.3558707
## X121 -0.3725266 -0.3688597 2.6947952 -0.3406978 -0.3743531 -0.3558707
## X122 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X123 -0.3725266 -0.3688597 2.6947952 -0.3406978 -0.3743531 -0.3558707
## X124 -0.3725266 -0.3688597 2.6947952 -0.3406978 -0.3743531 -0.3558707
## X125 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X126 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X127 -0.3725266 -0.3688597 2.6947952 -0.3406978 -0.3743531 -0.3558707
## X128 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X129 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X130 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X131 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X132 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X133 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X134 -0.3725266 -0.3688597 2.6947952 -0.3406978 -0.3743531 -0.3558707
## X135 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X136 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X137 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X138 -0.3725266 -0.3688597 -0.3706955 -0.3406978 2.6684658 -0.3558707
## X139 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X140 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X141 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X142 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X143 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X144 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X145 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X146 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X147 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X148 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X149 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X150 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X151 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X152 2.6815493 -0.3688597 2.6947952 -0.3406978 -0.3743531 2.8070547
## X153 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X154 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X155 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X156 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X157 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X158 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X159 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X160 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X161 -0.3725266 -0.3688597 2.6947952 -0.3406978 -0.3743531 -0.3558707
## X162 -0.3725266 -0.3688597 -0.3706955 -0.3406978 2.6684658 -0.3558707
## X163 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X164 -0.3725266 -0.3688597 -0.3706955 -0.3406978 2.6684658 -0.3558707
## X165 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X166 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X167 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X168 2.6815493 2.7082069 -0.3706955 -0.3406978 -0.3743531 2.8070547
## X169 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X170 -0.3725266 2.7082069 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X171 -0.3725266 -0.3688597 2.6947952 -0.3406978 2.6684658 -0.3558707
## X172 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X173 2.6815493 2.7082069 -0.3706955 -0.3406978 -0.3743531 2.8070547
## X174 2.6815493 -0.3688597 2.6947952 2.9320660 -0.3743531 2.8070547
## X175 -0.3725266 -0.3688597 2.6947952 -0.3406978 2.6684658 -0.3558707
## X176 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X177 -0.3725266 -0.3688597 -0.3706955 -0.3406978 2.6684658 -0.3558707
## X178 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X179 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X180 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X181 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X182 -0.3725266 -0.3688597 2.6947952 -0.3406978 2.6684658 -0.3558707
## X183 2.6815493 -0.3688597 -0.3706955 -0.3406978 -0.3743531 2.8070547
## X184 2.6815493 -0.3688597 -0.3706955 -0.3406978 -0.3743531 2.8070547
## X185 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X186 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X187 -0.3725266 -0.3688597 2.6947952 -0.3406978 -0.3743531 -0.3558707
## X188 -0.3725266 -0.3688597 -0.3706955 -0.3406978 2.6684658 -0.3558707
## X189 -0.3725266 -0.3688597 2.6947952 -0.3406978 -0.3743531 -0.3558707
## X190 -0.3725266 2.7082069 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X191 -0.3725266 -0.3688597 -0.3706955 -0.3406978 2.6684658 -0.3558707
## X192 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X193 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X194 -0.3725266 -0.3688597 -0.3706955 -0.3406978 2.6684658 -0.3558707
## X195 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X196 -0.3725266 -0.3688597 -0.3706955 -0.3406978 2.6684658 -0.3558707
## X197 2.6815493 2.7082069 -0.3706955 -0.3406978 -0.3743531 2.8070547
## X198 -0.3725266 -0.3688597 2.6947952 -0.3406978 -0.3743531 -0.3558707
## X199 -0.3725266 -0.3688597 2.6947952 -0.3406978 -0.3743531 -0.3558707
## X200 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X201 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X202 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X203 -0.3725266 -0.3688597 -0.3706955 -0.3406978 2.6684658 -0.3558707
## X204 -0.3725266 -0.3688597 2.6947952 -0.3406978 -0.3743531 -0.3558707
## X205 -0.3725266 -0.3688597 2.6947952 -0.3406978 2.6684658 -0.3558707
## X206 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X207 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X208 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X209 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X210 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X211 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X212 -0.3725266 -0.3688597 2.6947952 -0.3406978 -0.3743531 -0.3558707
## X213 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X214 -0.3725266 -0.3688597 2.6947952 -0.3406978 2.6684658 -0.3558707
## X215 -0.3725266 -0.3688597 2.6947952 -0.3406978 2.6684658 -0.3558707
## X216 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X217 -0.3725266 -0.3688597 2.6947952 -0.3406978 -0.3743531 -0.3558707
## X218 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X219 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X220 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X221 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X222 -0.3725266 -0.3688597 2.6947952 -0.3406978 2.6684658 -0.3558707
## X223 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X224 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X225 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X226 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X227 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X228 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X229 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X230 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X231 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X232 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X233 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X234 -0.3725266 -0.3688597 -0.3706955 -0.3406978 2.6684658 -0.3558707
## X235 -0.3725266 -0.3688597 2.6947952 -0.3406978 -0.3743531 -0.3558707
## X236 2.6815493 -0.3688597 -0.3706955 -0.3406978 -0.3743531 2.8070547
## X237 -0.3725266 -0.3688597 2.6947952 -0.3406978 -0.3743531 -0.3558707
## X238 -0.3725266 -0.3688597 2.6947952 -0.3406978 -0.3743531 -0.3558707
## X239 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X240 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X241 -0.3725266 -0.3688597 -0.3706955 -0.3406978 2.6684658 -0.3558707
## X242 -0.3725266 -0.3688597 2.6947952 -0.3406978 -0.3743531 -0.3558707
## X243 2.6815493 -0.3688597 -0.3706955 -0.3406978 -0.3743531 2.8070547
## X244 2.6815493 2.7082069 -0.3706955 2.9320660 -0.3743531 2.8070547
## X245 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X246 -0.3725266 -0.3688597 -0.3706955 2.9320660 -0.3743531 -0.3558707
## X247 2.6815493 2.7082069 -0.3706955 2.9320660 -0.3743531 2.8070547
## X248 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X249 -0.3725266 -0.3688597 -0.3706955 -0.3406978 2.6684658 -0.3558707
## X250 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X251 2.6815493 -0.3688597 -0.3706955 -0.3406978 -0.3743531 2.8070547
## X252 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X253 -0.3725266 -0.3688597 2.6947952 -0.3406978 -0.3743531 -0.3558707
## X254 2.6815493 2.7082069 -0.3706955 -0.3406978 -0.3743531 2.8070547
## X255 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X256 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X257 -0.3725266 -0.3688597 -0.3706955 2.9320660 -0.3743531 -0.3558707
## X258 -0.3725266 -0.3688597 2.6947952 -0.3406978 -0.3743531 -0.3558707
## X259 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X260 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X261 -0.3725266 -0.3688597 -0.3706955 2.9320660 -0.3743531 -0.3558707
## X262 -0.3725266 -0.3688597 -0.3706955 -0.3406978 2.6684658 -0.3558707
## X263 -0.3725266 -0.3688597 -0.3706955 -0.3406978 2.6684658 -0.3558707
## X264 2.6815493 -0.3688597 -0.3706955 -0.3406978 -0.3743531 2.8070547
## X265 -0.3725266 -0.3688597 2.6947952 -0.3406978 -0.3743531 -0.3558707
## X266 -0.3725266 -0.3688597 2.6947952 -0.3406978 -0.3743531 -0.3558707
## X267 -0.3725266 -0.3688597 -0.3706955 2.9320660 -0.3743531 -0.3558707
## X268 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X269 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X270 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X271 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X272 -0.3725266 2.7082069 2.6947952 -0.3406978 -0.3743531 -0.3558707
## X273 -0.3725266 -0.3688597 2.6947952 -0.3406978 -0.3743531 -0.3558707
## X274 -0.3725266 2.7082069 -0.3706955 -0.3406978 2.6684658 -0.3558707
## X275 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X276 2.6815493 -0.3688597 -0.3706955 2.9320660 -0.3743531 2.8070547
## X277 2.6815493 2.7082069 -0.3706955 -0.3406978 2.6684658 2.8070547
## X278 2.6815493 -0.3688597 -0.3706955 -0.3406978 -0.3743531 2.8070547
## X279 2.6815493 -0.3688597 -0.3706955 -0.3406978 -0.3743531 2.8070547
## X280 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X281 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X282 -0.3725266 2.7082069 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X283 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X284 -0.3725266 2.7082069 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X285 -0.3725266 -0.3688597 -0.3706955 2.9320660 -0.3743531 -0.3558707
## X286 2.6815493 -0.3688597 -0.3706955 2.9320660 -0.3743531 2.8070547
## X287 2.6815493 2.7082069 -0.3706955 -0.3406978 -0.3743531 2.8070547
## X288 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X289 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X290 -0.3725266 -0.3688597 2.6947952 -0.3406978 -0.3743531 -0.3558707
## X291 -0.3725266 -0.3688597 2.6947952 -0.3406978 -0.3743531 -0.3558707
## X292 2.6815493 -0.3688597 -0.3706955 2.9320660 -0.3743531 -0.3558707
## X293 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X294 -0.3725266 2.7082069 -0.3706955 -0.3406978 2.6684658 -0.3558707
## X295 -0.3725266 2.7082069 -0.3706955 2.9320660 -0.3743531 -0.3558707
## X296 2.6815493 2.7082069 -0.3706955 2.9320660 -0.3743531 2.8070547
## X297 -0.3725266 -0.3688597 -0.3706955 -0.3406978 2.6684658 -0.3558707
## X298 -0.3725266 -0.3688597 -0.3706955 2.9320660 -0.3743531 -0.3558707
## X299 -0.3725266 -0.3688597 -0.3706955 -0.3406978 2.6684658 -0.3558707
## X300 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X301 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X302 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X303 2.6815493 2.7082069 -0.3706955 -0.3406978 -0.3743531 2.8070547
## X304 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X305 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X306 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X307 2.6815493 -0.3688597 -0.3706955 -0.3406978 2.6684658 2.8070547
## X308 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X309 2.6815493 -0.3688597 -0.3706955 -0.3406978 2.6684658 2.8070547
## X310 -0.3725266 -0.3688597 -0.3706955 -0.3406978 2.6684658 -0.3558707
## X311 -0.3725266 -0.3688597 2.6947952 -0.3406978 -0.3743531 -0.3558707
## X312 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X313 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X314 -0.3725266 -0.3688597 2.6947952 -0.3406978 -0.3743531 -0.3558707
## X315 -0.3725266 2.7082069 -0.3706955 -0.3406978 2.6684658 -0.3558707
## X316 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X317 -0.3725266 -0.3688597 2.6947952 -0.3406978 -0.3743531 -0.3558707
## X318 -0.3725266 2.7082069 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X319 -0.3725266 -0.3688597 -0.3706955 2.9320660 -0.3743531 -0.3558707
## X320 2.6815493 -0.3688597 -0.3706955 -0.3406978 -0.3743531 2.8070547
## X321 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X322 -0.3725266 2.7082069 -0.3706955 2.9320660 -0.3743531 -0.3558707
## X323 2.6815493 -0.3688597 -0.3706955 -0.3406978 -0.3743531 2.8070547
## X324 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X325 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X326 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X327 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X328 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X329 -0.3725266 -0.3688597 -0.3706955 -0.3406978 2.6684658 -0.3558707
## X330 -0.3725266 -0.3688597 -0.3706955 2.9320660 -0.3743531 -0.3558707
## X331 -0.3725266 -0.3688597 2.6947952 2.9320660 -0.3743531 -0.3558707
## X332 -0.3725266 -0.3688597 -0.3706955 2.9320660 -0.3743531 -0.3558707
## X333 -0.3725266 2.7082069 2.6947952 -0.3406978 -0.3743531 -0.3558707
## X334 -0.3725266 2.7082069 -0.3706955 2.9320660 -0.3743531 -0.3558707
## X335 -0.3725266 -0.3688597 -0.3706955 2.9320660 -0.3743531 -0.3558707
## X336 -0.3725266 -0.3688597 -0.3706955 -0.3406978 2.6684658 -0.3558707
## X337 2.6815493 2.7082069 -0.3706955 2.9320660 -0.3743531 -0.3558707
## X338 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X339 2.6815493 -0.3688597 -0.3706955 2.9320660 -0.3743531 2.8070547
## X340 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X341 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X342 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X343 -0.3725266 -0.3688597 -0.3706955 -0.3406978 2.6684658 -0.3558707
## X344 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X345 2.6815493 -0.3688597 -0.3706955 -0.3406978 -0.3743531 2.8070547
## X346 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X347 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X348 2.6815493 2.7082069 -0.3706955 -0.3406978 2.6684658 2.8070547
## X349 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X350 2.6815493 -0.3688597 -0.3706955 -0.3406978 -0.3743531 2.8070547
## X351 -0.3725266 2.7082069 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X352 -0.3725266 -0.3688597 2.6947952 -0.3406978 -0.3743531 -0.3558707
## X353 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X354 -0.3725266 -0.3688597 -0.3706955 -0.3406978 2.6684658 -0.3558707
## X355 -0.3725266 -0.3688597 -0.3706955 -0.3406978 2.6684658 -0.3558707
## X356 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X357 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X358 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X359 -0.3725266 -0.3688597 -0.3706955 -0.3406978 2.6684658 -0.3558707
## X360 -0.3725266 -0.3688597 -0.3706955 -0.3406978 2.6684658 -0.3558707
## X361 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X362 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X363 2.6815493 -0.3688597 -0.3706955 2.9320660 -0.3743531 2.8070547
## X364 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X365 -0.3725266 2.7082069 -0.3706955 2.9320660 -0.3743531 -0.3558707
## X366 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X367 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X368 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X369 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X370 -0.3725266 -0.3688597 2.6947952 2.9320660 -0.3743531 -0.3558707
## X371 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X372 -0.3725266 -0.3688597 -0.3706955 2.9320660 -0.3743531 -0.3558707
## X373 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X374 -0.3725266 -0.3688597 -0.3706955 2.9320660 -0.3743531 -0.3558707
## X375 2.6815493 -0.3688597 -0.3706955 -0.3406978 -0.3743531 2.8070547
## X376 -0.3725266 -0.3688597 2.6947952 -0.3406978 2.6684658 -0.3558707
## X377 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X378 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X379 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X380 -0.3725266 -0.3688597 2.6947952 -0.3406978 -0.3743531 -0.3558707
## X381 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X382 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X383 -0.3725266 -0.3688597 2.6947952 -0.3406978 2.6684658 -0.3558707
## X384 -0.3725266 -0.3688597 -0.3706955 -0.3406978 2.6684658 -0.3558707
## X385 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X386 2.6815493 -0.3688597 -0.3706955 2.9320660 -0.3743531 2.8070547
## X387 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X388 -0.3725266 -0.3688597 -0.3706955 2.9320660 -0.3743531 -0.3558707
## X389 2.6815493 -0.3688597 -0.3706955 -0.3406978 -0.3743531 2.8070547
## X390 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X391 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X392 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X393 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X394 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X395 -0.3725266 -0.3688597 -0.3706955 2.9320660 -0.3743531 -0.3558707
## X396 -0.3725266 -0.3688597 2.6947952 -0.3406978 -0.3743531 -0.3558707
## X397 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X398 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X399 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X400 -0.3725266 2.7082069 -0.3706955 2.9320660 -0.3743531 -0.3558707
## X401 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X402 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X403 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X404 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X405 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X406 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X407 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X408 -0.3725266 -0.3688597 2.6947952 -0.3406978 -0.3743531 -0.3558707
## X409 -0.3725266 -0.3688597 -0.3706955 -0.3406978 2.6684658 -0.3558707
## X410 -0.3725266 -0.3688597 2.6947952 2.9320660 -0.3743531 -0.3558707
## X411 -0.3725266 -0.3688597 -0.3706955 -0.3406978 2.6684658 -0.3558707
## X412 2.6815493 -0.3688597 -0.3706955 2.9320660 -0.3743531 2.8070547
## X413 2.6815493 -0.3688597 -0.3706955 -0.3406978 -0.3743531 2.8070547
## X414 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X415 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X416 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X417 2.6815493 -0.3688597 -0.3706955 2.9320660 -0.3743531 2.8070547
## X418 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X419 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X420 -0.3725266 2.7082069 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X421 -0.3725266 -0.3688597 -0.3706955 2.9320660 -0.3743531 -0.3558707
## X422 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X423 -0.3725266 -0.3688597 -0.3706955 -0.3406978 2.6684658 -0.3558707
## X424 2.6815493 -0.3688597 -0.3706955 -0.3406978 -0.3743531 2.8070547
## X425 -0.3725266 -0.3688597 -0.3706955 -0.3406978 2.6684658 -0.3558707
## X426 -0.3725266 -0.3688597 -0.3706955 -0.3406978 2.6684658 -0.3558707
## X427 -0.3725266 -0.3688597 2.6947952 -0.3406978 -0.3743531 -0.3558707
## X428 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X429 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X430 -0.3725266 -0.3688597 -0.3706955 2.9320660 -0.3743531 -0.3558707
## X431 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X432 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X433 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X434 -0.3725266 -0.3688597 2.6947952 -0.3406978 -0.3743531 -0.3558707
## X435 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X436 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X437 -0.3725266 -0.3688597 -0.3706955 -0.3406978 2.6684658 -0.3558707
## X438 -0.3725266 -0.3688597 -0.3706955 -0.3406978 2.6684658 -0.3558707
## X439 -0.3725266 -0.3688597 -0.3706955 -0.3406978 2.6684658 -0.3558707
## X440 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X441 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X442 -0.3725266 -0.3688597 -0.3706955 -0.3406978 2.6684658 -0.3558707
## X443 -0.3725266 -0.3688597 -0.3706955 2.9320660 -0.3743531 -0.3558707
## X444 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X445 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X446 -0.3725266 -0.3688597 -0.3706955 2.9320660 -0.3743531 -0.3558707
## X447 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X448 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X449 -0.3725266 -0.3688597 -0.3706955 -0.3406978 2.6684658 -0.3558707
## X450 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X451 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X452 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## X453 2.6815493 2.7082069 -0.3706955 -0.3406978 2.6684658 2.8070547
## X454 -0.3725266 -0.3688597 -0.3706955 -0.3406978 -0.3743531 -0.3558707
## FP025 FP026 FP027 FP028 FP029 FP030
## X1 -0.361468 3.2978859 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X2 -0.361468 -0.3029057 -0.3290557 2.8994814 -0.3368437 -0.3211537
## X3 2.763587 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X4 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X5 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 3.1104998
## X6 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X7 -0.361468 3.2978859 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X8 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X9 -0.361468 -0.3029057 -0.3290557 2.8994814 -0.3368437 -0.3211537
## X10 -0.361468 -0.3029057 3.0358039 2.8994814 -0.3368437 -0.3211537
## X11 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X12 -0.361468 -0.3029057 -0.3290557 2.8994814 -0.3368437 -0.3211537
## X13 -0.361468 3.2978859 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X14 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X15 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X16 2.763587 -0.3029057 -0.3290557 -0.3445266 2.9656139 -0.3211537
## X17 -0.361468 3.2978859 -0.3290557 -0.3445266 2.9656139 3.1104998
## X18 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 3.1104998
## X19 -0.361468 -0.3029057 -0.3290557 2.8994814 -0.3368437 -0.3211537
## X20 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X21 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X22 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X23 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X24 -0.361468 -0.3029057 3.0358039 -0.3445266 -0.3368437 -0.3211537
## X25 -0.361468 -0.3029057 3.0358039 -0.3445266 -0.3368437 3.1104998
## X26 -0.361468 3.2978859 3.0358039 2.8994814 -0.3368437 -0.3211537
## X27 -0.361468 -0.3029057 -0.3290557 -0.3445266 2.9656139 -0.3211537
## X28 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X29 -0.361468 -0.3029057 3.0358039 -0.3445266 2.9656139 -0.3211537
## X30 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X31 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X32 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X33 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X34 -0.361468 3.2978859 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X35 -0.361468 -0.3029057 -0.3290557 -0.3445266 2.9656139 -0.3211537
## X36 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X37 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X38 2.763587 -0.3029057 -0.3290557 2.8994814 -0.3368437 -0.3211537
## X39 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X40 2.763587 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X41 -0.361468 -0.3029057 -0.3290557 2.8994814 -0.3368437 -0.3211537
## X42 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X43 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X44 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X45 -0.361468 -0.3029057 -0.3290557 2.8994814 -0.3368437 -0.3211537
## X46 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X47 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X48 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X49 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X50 2.763587 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X51 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X52 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X53 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X54 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 3.1104998
## X55 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X56 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X57 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X58 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X59 -0.361468 -0.3029057 -0.3290557 -0.3445266 2.9656139 -0.3211537
## X60 2.763587 3.2978859 -0.3290557 -0.3445266 2.9656139 -0.3211537
## X61 2.763587 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X62 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X63 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X64 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X65 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X66 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 3.1104998
## X67 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X68 -0.361468 -0.3029057 -0.3290557 2.8994814 -0.3368437 3.1104998
## X69 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X70 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X71 -0.361468 3.2978859 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X72 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X73 -0.361468 3.2978859 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X74 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X75 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X76 -0.361468 -0.3029057 -0.3290557 2.8994814 -0.3368437 3.1104998
## X77 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X78 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X79 -0.361468 3.2978859 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X80 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X81 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X82 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X83 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X84 -0.361468 -0.3029057 3.0358039 -0.3445266 -0.3368437 -0.3211537
## X85 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X86 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X87 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X88 2.763587 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X89 -0.361468 -0.3029057 3.0358039 2.8994814 2.9656139 3.1104998
## X90 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X91 2.763587 -0.3029057 3.0358039 2.8994814 -0.3368437 3.1104998
## X92 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X93 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X94 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X95 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X96 2.763587 -0.3029057 -0.3290557 2.8994814 -0.3368437 -0.3211537
## X97 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X98 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X99 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X100 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X101 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X102 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X103 2.763587 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X104 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X105 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X106 -0.361468 -0.3029057 -0.3290557 2.8994814 -0.3368437 -0.3211537
## X107 -0.361468 3.2978859 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X108 -0.361468 -0.3029057 -0.3290557 2.8994814 -0.3368437 -0.3211537
## X109 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X110 2.763587 3.2978859 -0.3290557 -0.3445266 2.9656139 -0.3211537
## X111 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X112 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X113 2.763587 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X114 -0.361468 -0.3029057 -0.3290557 -0.3445266 2.9656139 -0.3211537
## X115 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X116 -0.361468 -0.3029057 3.0358039 -0.3445266 -0.3368437 -0.3211537
## X117 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 3.1104998
## X118 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X119 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X120 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X121 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X122 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X123 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X124 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X125 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X126 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X127 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X128 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X129 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X130 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X131 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X132 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X133 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X134 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X135 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X136 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X137 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X138 -0.361468 -0.3029057 -0.3290557 2.8994814 -0.3368437 -0.3211537
## X139 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X140 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X141 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X142 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X143 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X144 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X145 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X146 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X147 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X148 -0.361468 3.2978859 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X149 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X150 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X151 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X152 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X153 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X154 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X155 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X156 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X157 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X158 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X159 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X160 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X161 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X162 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X163 -0.361468 3.2978859 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X164 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X165 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X166 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X167 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X168 -0.361468 -0.3029057 -0.3290557 2.8994814 2.9656139 -0.3211537
## X169 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X170 -0.361468 -0.3029057 -0.3290557 -0.3445266 2.9656139 -0.3211537
## X171 -0.361468 -0.3029057 -0.3290557 2.8994814 -0.3368437 -0.3211537
## X172 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X173 2.763587 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X174 2.763587 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X175 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X176 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X177 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X178 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X179 2.763587 -0.3029057 -0.3290557 2.8994814 -0.3368437 -0.3211537
## X180 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X181 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X182 -0.361468 -0.3029057 -0.3290557 2.8994814 -0.3368437 3.1104998
## X183 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X184 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X185 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X186 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X187 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X188 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X189 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X190 -0.361468 3.2978859 -0.3290557 -0.3445266 2.9656139 -0.3211537
## X191 -0.361468 -0.3029057 -0.3290557 2.8994814 -0.3368437 -0.3211537
## X192 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X193 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X194 -0.361468 -0.3029057 -0.3290557 2.8994814 -0.3368437 -0.3211537
## X195 -0.361468 3.2978859 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X196 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X197 -0.361468 -0.3029057 -0.3290557 -0.3445266 2.9656139 -0.3211537
## X198 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X199 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X200 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X201 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X202 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X203 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X204 -0.361468 -0.3029057 -0.3290557 -0.3445266 2.9656139 -0.3211537
## X205 -0.361468 -0.3029057 -0.3290557 2.8994814 -0.3368437 -0.3211537
## X206 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X207 -0.361468 -0.3029057 -0.3290557 -0.3445266 2.9656139 -0.3211537
## X208 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X209 -0.361468 3.2978859 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X210 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X211 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X212 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X213 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X214 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X215 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X216 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X217 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X218 -0.361468 3.2978859 -0.3290557 -0.3445266 2.9656139 -0.3211537
## X219 2.763587 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X220 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X221 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 3.1104998
## X222 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X223 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X224 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X225 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X226 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X227 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X228 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X229 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X230 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X231 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X232 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X233 -0.361468 -0.3029057 3.0358039 -0.3445266 -0.3368437 -0.3211537
## X234 -0.361468 -0.3029057 -0.3290557 2.8994814 -0.3368437 -0.3211537
## X235 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X236 -0.361468 -0.3029057 -0.3290557 -0.3445266 2.9656139 -0.3211537
## X237 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X238 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X239 2.763587 -0.3029057 -0.3290557 -0.3445266 2.9656139 -0.3211537
## X240 2.763587 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X241 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X242 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X243 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X244 -0.361468 3.2978859 -0.3290557 -0.3445266 2.9656139 -0.3211537
## X245 2.763587 3.2978859 -0.3290557 -0.3445266 2.9656139 -0.3211537
## X246 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X247 -0.361468 -0.3029057 -0.3290557 -0.3445266 2.9656139 -0.3211537
## X248 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X249 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X250 2.763587 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X251 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X252 -0.361468 -0.3029057 3.0358039 -0.3445266 -0.3368437 3.1104998
## X253 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X254 -0.361468 -0.3029057 -0.3290557 -0.3445266 2.9656139 -0.3211537
## X255 2.763587 -0.3029057 -0.3290557 -0.3445266 2.9656139 -0.3211537
## X256 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X257 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X258 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X259 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X260 2.763587 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X261 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X262 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X263 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X264 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X265 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X266 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X267 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X268 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X269 -0.361468 -0.3029057 -0.3290557 -0.3445266 2.9656139 -0.3211537
## X270 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X271 2.763587 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X272 -0.361468 3.2978859 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X273 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X274 -0.361468 -0.3029057 3.0358039 -0.3445266 -0.3368437 -0.3211537
## X275 2.763587 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X276 2.763587 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X277 -0.361468 -0.3029057 -0.3290557 -0.3445266 2.9656139 -0.3211537
## X278 -0.361468 -0.3029057 3.0358039 -0.3445266 -0.3368437 -0.3211537
## X279 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X280 -0.361468 3.2978859 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X281 -0.361468 3.2978859 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X282 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X283 -0.361468 3.2978859 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X284 -0.361468 -0.3029057 -0.3290557 2.8994814 -0.3368437 -0.3211537
## X285 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X286 -0.361468 3.2978859 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X287 -0.361468 -0.3029057 -0.3290557 -0.3445266 2.9656139 -0.3211537
## X288 2.763587 -0.3029057 -0.3290557 2.8994814 -0.3368437 -0.3211537
## X289 2.763587 -0.3029057 -0.3290557 2.8994814 -0.3368437 -0.3211537
## X290 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X291 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X292 -0.361468 3.2978859 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X293 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X294 -0.361468 -0.3029057 -0.3290557 -0.3445266 2.9656139 -0.3211537
## X295 -0.361468 -0.3029057 3.0358039 -0.3445266 2.9656139 -0.3211537
## X296 -0.361468 -0.3029057 -0.3290557 -0.3445266 2.9656139 -0.3211537
## X297 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X298 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X299 -0.361468 -0.3029057 3.0358039 -0.3445266 -0.3368437 -0.3211537
## X300 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 3.1104998
## X301 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X302 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X303 -0.361468 -0.3029057 -0.3290557 2.8994814 2.9656139 3.1104998
## X304 -0.361468 -0.3029057 3.0358039 -0.3445266 -0.3368437 -0.3211537
## X305 -0.361468 -0.3029057 3.0358039 -0.3445266 -0.3368437 3.1104998
## X306 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X307 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X308 2.763587 -0.3029057 -0.3290557 -0.3445266 2.9656139 -0.3211537
## X309 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X310 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 3.1104998
## X311 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X312 2.763587 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X313 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X314 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X315 -0.361468 -0.3029057 -0.3290557 -0.3445266 2.9656139 -0.3211537
## X316 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X317 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X318 -0.361468 -0.3029057 -0.3290557 -0.3445266 2.9656139 -0.3211537
## X319 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X320 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 3.1104998
## X321 -0.361468 -0.3029057 -0.3290557 -0.3445266 2.9656139 -0.3211537
## X322 -0.361468 -0.3029057 3.0358039 -0.3445266 2.9656139 3.1104998
## X323 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X324 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X325 -0.361468 3.2978859 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X326 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X327 -0.361468 3.2978859 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X328 2.763587 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X329 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X330 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X331 -0.361468 3.2978859 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X332 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X333 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X334 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X335 -0.361468 -0.3029057 3.0358039 -0.3445266 -0.3368437 3.1104998
## X336 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X337 -0.361468 -0.3029057 -0.3290557 -0.3445266 2.9656139 -0.3211537
## X338 -0.361468 -0.3029057 3.0358039 -0.3445266 2.9656139 -0.3211537
## X339 -0.361468 3.2978859 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X340 2.763587 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X341 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X342 -0.361468 3.2978859 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X343 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X344 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X345 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X346 -0.361468 -0.3029057 3.0358039 -0.3445266 -0.3368437 -0.3211537
## X347 2.763587 -0.3029057 -0.3290557 2.8994814 -0.3368437 -0.3211537
## X348 -0.361468 -0.3029057 -0.3290557 -0.3445266 2.9656139 -0.3211537
## X349 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X350 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X351 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X352 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X353 -0.361468 3.2978859 3.0358039 -0.3445266 -0.3368437 3.1104998
## X354 -0.361468 -0.3029057 -0.3290557 -0.3445266 2.9656139 -0.3211537
## X355 2.763587 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X356 -0.361468 3.2978859 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X357 -0.361468 -0.3029057 -0.3290557 -0.3445266 2.9656139 -0.3211537
## X358 2.763587 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X359 -0.361468 -0.3029057 3.0358039 -0.3445266 -0.3368437 -0.3211537
## X360 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X361 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X362 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X363 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X364 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X365 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X366 -0.361468 3.2978859 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X367 -0.361468 3.2978859 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X368 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X369 -0.361468 -0.3029057 -0.3290557 -0.3445266 2.9656139 -0.3211537
## X370 -0.361468 -0.3029057 3.0358039 -0.3445266 -0.3368437 -0.3211537
## X371 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X372 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X373 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X374 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X375 -0.361468 -0.3029057 -0.3290557 -0.3445266 2.9656139 -0.3211537
## X376 -0.361468 -0.3029057 -0.3290557 2.8994814 -0.3368437 3.1104998
## X377 2.763587 -0.3029057 -0.3290557 2.8994814 -0.3368437 -0.3211537
## X378 -0.361468 -0.3029057 3.0358039 -0.3445266 -0.3368437 3.1104998
## X379 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X380 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X381 2.763587 -0.3029057 -0.3290557 -0.3445266 2.9656139 -0.3211537
## X382 -0.361468 3.2978859 3.0358039 -0.3445266 -0.3368437 -0.3211537
## X383 -0.361468 -0.3029057 -0.3290557 2.8994814 -0.3368437 3.1104998
## X384 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X385 2.763587 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X386 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X387 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X388 -0.361468 3.2978859 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X389 -0.361468 -0.3029057 -0.3290557 -0.3445266 2.9656139 -0.3211537
## X390 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X391 2.763587 -0.3029057 -0.3290557 2.8994814 -0.3368437 -0.3211537
## X392 -0.361468 -0.3029057 -0.3290557 -0.3445266 2.9656139 -0.3211537
## X393 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X394 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X395 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X396 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X397 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X398 -0.361468 -0.3029057 -0.3290557 2.8994814 -0.3368437 -0.3211537
## X399 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X400 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X401 -0.361468 -0.3029057 -0.3290557 2.8994814 -0.3368437 -0.3211537
## X402 2.763587 -0.3029057 -0.3290557 2.8994814 -0.3368437 -0.3211537
## X403 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X404 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X405 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X406 2.763587 3.2978859 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X407 -0.361468 -0.3029057 3.0358039 -0.3445266 -0.3368437 -0.3211537
## X408 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X409 -0.361468 -0.3029057 3.0358039 -0.3445266 -0.3368437 -0.3211537
## X410 -0.361468 -0.3029057 3.0358039 -0.3445266 -0.3368437 -0.3211537
## X411 2.763587 -0.3029057 -0.3290557 -0.3445266 2.9656139 -0.3211537
## X412 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X413 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X414 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 3.1104998
## X415 -0.361468 3.2978859 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X416 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X417 -0.361468 3.2978859 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X418 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X419 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X420 -0.361468 3.2978859 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X421 2.763587 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X422 2.763587 -0.3029057 -0.3290557 -0.3445266 2.9656139 -0.3211537
## X423 -0.361468 -0.3029057 -0.3290557 2.8994814 -0.3368437 3.1104998
## X424 2.763587 -0.3029057 3.0358039 -0.3445266 -0.3368437 3.1104998
## X425 -0.361468 -0.3029057 -0.3290557 2.8994814 -0.3368437 3.1104998
## X426 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X427 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X428 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X429 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X430 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X431 -0.361468 3.2978859 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X432 2.763587 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X433 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X434 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X435 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X436 -0.361468 3.2978859 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X437 2.763587 -0.3029057 -0.3290557 2.8994814 -0.3368437 -0.3211537
## X438 -0.361468 -0.3029057 -0.3290557 2.8994814 -0.3368437 3.1104998
## X439 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X440 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X441 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X442 -0.361468 -0.3029057 -0.3290557 2.8994814 2.9656139 -0.3211537
## X443 -0.361468 -0.3029057 3.0358039 -0.3445266 -0.3368437 -0.3211537
## X444 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X445 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X446 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X447 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X448 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X449 -0.361468 -0.3029057 -0.3290557 -0.3445266 2.9656139 -0.3211537
## X450 -0.361468 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X451 2.763587 -0.3029057 -0.3290557 -0.3445266 -0.3368437 -0.3211537
## X452 -0.361468 -0.3029057 -0.3290557 -0.3445266 2.9656139 -0.3211537
## X453 -0.361468 -0.3029057 -0.3290557 -0.3445266 2.9656139 -0.3211537
## X454 2.763587 -0.3029057 -0.3290557 -0.3445266 2.9656139 -0.3211537
## FP031 FP032 FP033 FP034 FP035 FP036
## X1 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X2 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X3 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X4 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X5 -0.3131281 -0.2817297 -0.2729429 3.3913200 -0.2795515 -0.2860509
## X6 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X7 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X8 3.1902229 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X9 -0.3131281 -0.2817297 -0.2729429 -0.2945604 3.5733972 -0.2860509
## X10 -0.3131281 -0.2817297 -0.2729429 3.3913200 -0.2795515 -0.2860509
## X11 -0.3131281 -0.2817297 -0.2729429 -0.2945604 3.5733972 -0.2860509
## X12 -0.3131281 -0.2817297 -0.2729429 -0.2945604 3.5733972 -0.2860509
## X13 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X14 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X15 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X16 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X17 -0.3131281 -0.2817297 -0.2729429 3.3913200 -0.2795515 -0.2860509
## X18 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X19 -0.3131281 -0.2817297 -0.2729429 -0.2945604 3.5733972 -0.2860509
## X20 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X21 3.1902229 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X22 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X23 3.1902229 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X24 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X25 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X26 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X27 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X28 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X29 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X30 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X31 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X32 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X33 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X34 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X35 3.1902229 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X36 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X37 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X38 -0.3131281 -0.2817297 -0.2729429 -0.2945604 3.5733972 -0.2860509
## X39 -0.3131281 3.5457693 3.6599168 -0.2945604 -0.2795515 -0.2860509
## X40 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X41 3.1902229 -0.2817297 -0.2729429 -0.2945604 3.5733972 -0.2860509
## X42 -0.3131281 -0.2817297 -0.2729429 3.3913200 -0.2795515 -0.2860509
## X43 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X44 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X45 -0.3131281 -0.2817297 -0.2729429 3.3913200 -0.2795515 -0.2860509
## X46 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X47 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X48 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X49 -0.3131281 3.5457693 3.6599168 -0.2945604 -0.2795515 -0.2860509
## X50 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X51 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X52 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X53 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X54 -0.3131281 -0.2817297 -0.2729429 3.3913200 -0.2795515 -0.2860509
## X55 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X56 -0.3131281 -0.2817297 -0.2729429 -0.2945604 3.5733972 -0.2860509
## X57 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X58 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X59 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X60 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X61 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X62 3.1902229 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X63 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X64 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X65 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X66 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X67 3.1902229 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X68 3.1902229 -0.2817297 -0.2729429 -0.2945604 3.5733972 -0.2860509
## X69 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X70 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X71 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X72 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X73 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X74 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X75 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X76 3.1902229 -0.2817297 -0.2729429 -0.2945604 3.5733972 -0.2860509
## X77 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X78 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X79 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X80 3.1902229 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X81 3.1902229 -0.2817297 -0.2729429 -0.2945604 3.5733972 -0.2860509
## X82 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X83 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X84 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 3.4922050
## X85 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X86 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X87 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X88 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X89 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X90 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X91 -0.3131281 -0.2817297 -0.2729429 -0.2945604 3.5733972 3.4922050
## X92 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X93 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X94 3.1902229 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X95 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X96 -0.3131281 3.5457693 3.6599168 -0.2945604 -0.2795515 -0.2860509
## X97 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X98 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X99 -0.3131281 -0.2817297 -0.2729429 -0.2945604 3.5733972 -0.2860509
## X100 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X101 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X102 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X103 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X104 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X105 3.1902229 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X106 -0.3131281 -0.2817297 -0.2729429 -0.2945604 3.5733972 -0.2860509
## X107 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X108 3.1902229 -0.2817297 -0.2729429 -0.2945604 3.5733972 -0.2860509
## X109 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X110 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X111 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X112 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X113 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X114 3.1902229 -0.2817297 -0.2729429 -0.2945604 3.5733972 -0.2860509
## X115 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X116 -0.3131281 -0.2817297 -0.2729429 3.3913200 -0.2795515 -0.2860509
## X117 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X118 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X119 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X120 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X121 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X122 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X123 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X124 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X125 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X126 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X127 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X128 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X129 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X130 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X131 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X132 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X133 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X134 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X135 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X136 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X137 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X138 -0.3131281 -0.2817297 -0.2729429 -0.2945604 3.5733972 -0.2860509
## X139 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X140 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X141 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X142 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X143 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X144 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X145 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X146 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X147 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X148 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X149 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X150 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X151 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X152 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X153 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X154 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X155 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X156 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X157 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X158 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X159 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X160 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X161 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X162 -0.3131281 -0.2817297 -0.2729429 -0.2945604 3.5733972 -0.2860509
## X163 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X164 3.1902229 -0.2817297 -0.2729429 -0.2945604 3.5733972 -0.2860509
## X165 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X166 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X167 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X168 -0.3131281 -0.2817297 -0.2729429 3.3913200 -0.2795515 -0.2860509
## X169 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X170 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X171 3.1902229 -0.2817297 -0.2729429 -0.2945604 3.5733972 -0.2860509
## X172 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X173 -0.3131281 -0.2817297 -0.2729429 3.3913200 -0.2795515 3.4922050
## X174 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X175 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X176 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X177 3.1902229 -0.2817297 -0.2729429 -0.2945604 3.5733972 -0.2860509
## X178 -0.3131281 3.5457693 3.6599168 -0.2945604 -0.2795515 -0.2860509
## X179 -0.3131281 -0.2817297 -0.2729429 -0.2945604 3.5733972 -0.2860509
## X180 -0.3131281 3.5457693 3.6599168 -0.2945604 3.5733972 -0.2860509
## X181 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X182 -0.3131281 -0.2817297 -0.2729429 -0.2945604 3.5733972 -0.2860509
## X183 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X184 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X185 -0.3131281 3.5457693 3.6599168 -0.2945604 -0.2795515 -0.2860509
## X186 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X187 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X188 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X189 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X190 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X191 3.1902229 -0.2817297 -0.2729429 -0.2945604 3.5733972 -0.2860509
## X192 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X193 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X194 -0.3131281 -0.2817297 -0.2729429 -0.2945604 3.5733972 -0.2860509
## X195 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X196 3.1902229 -0.2817297 -0.2729429 -0.2945604 3.5733972 -0.2860509
## X197 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X198 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X199 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X200 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X201 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X202 -0.3131281 3.5457693 3.6599168 -0.2945604 3.5733972 -0.2860509
## X203 3.1902229 -0.2817297 -0.2729429 -0.2945604 3.5733972 -0.2860509
## X204 3.1902229 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X205 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X206 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X207 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X208 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X209 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X210 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X211 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X212 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X213 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X214 3.1902229 -0.2817297 -0.2729429 -0.2945604 3.5733972 -0.2860509
## X215 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X216 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X217 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X218 -0.3131281 3.5457693 3.6599168 -0.2945604 -0.2795515 -0.2860509
## X219 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X220 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X221 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X222 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X223 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X224 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X225 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X226 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X227 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X228 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X229 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X230 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X231 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X232 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X233 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 3.4922050
## X234 -0.3131281 -0.2817297 -0.2729429 -0.2945604 3.5733972 -0.2860509
## X235 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X236 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X237 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X238 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X239 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X240 -0.3131281 3.5457693 3.6599168 -0.2945604 -0.2795515 3.4922050
## X241 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X242 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X243 -0.3131281 3.5457693 3.6599168 -0.2945604 -0.2795515 -0.2860509
## X244 -0.3131281 -0.2817297 -0.2729429 3.3913200 -0.2795515 -0.2860509
## X245 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X246 -0.3131281 -0.2817297 -0.2729429 3.3913200 -0.2795515 3.4922050
## X247 -0.3131281 -0.2817297 -0.2729429 3.3913200 -0.2795515 -0.2860509
## X248 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X249 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X250 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X251 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X252 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 3.4922050
## X253 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X254 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X255 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X256 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X257 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X258 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X259 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X260 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X261 -0.3131281 -0.2817297 -0.2729429 3.3913200 -0.2795515 -0.2860509
## X262 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X263 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X264 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X265 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X266 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X267 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X268 3.1902229 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X269 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X270 -0.3131281 3.5457693 3.6599168 -0.2945604 -0.2795515 -0.2860509
## X271 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X272 3.1902229 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X273 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X274 3.1902229 -0.2817297 -0.2729429 -0.2945604 3.5733972 3.4922050
## X275 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X276 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X277 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X278 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X279 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X280 -0.3131281 3.5457693 3.6599168 -0.2945604 -0.2795515 -0.2860509
## X281 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X282 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X283 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X284 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X285 -0.3131281 -0.2817297 -0.2729429 3.3913200 -0.2795515 3.4922050
## X286 -0.3131281 -0.2817297 -0.2729429 3.3913200 -0.2795515 -0.2860509
## X287 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X288 -0.3131281 3.5457693 3.6599168 -0.2945604 -0.2795515 -0.2860509
## X289 -0.3131281 3.5457693 3.6599168 -0.2945604 -0.2795515 3.4922050
## X290 3.1902229 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X291 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X292 -0.3131281 -0.2817297 -0.2729429 3.3913200 -0.2795515 -0.2860509
## X293 -0.3131281 3.5457693 3.6599168 -0.2945604 -0.2795515 -0.2860509
## X294 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X295 -0.3131281 -0.2817297 -0.2729429 3.3913200 -0.2795515 -0.2860509
## X296 -0.3131281 -0.2817297 -0.2729429 3.3913200 -0.2795515 -0.2860509
## X297 3.1902229 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X298 -0.3131281 -0.2817297 -0.2729429 3.3913200 -0.2795515 3.4922050
## X299 -0.3131281 -0.2817297 -0.2729429 -0.2945604 3.5733972 3.4922050
## X300 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X301 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X302 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 3.4922050
## X303 -0.3131281 -0.2817297 -0.2729429 3.3913200 -0.2795515 -0.2860509
## X304 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X305 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X306 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X307 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X308 -0.3131281 3.5457693 3.6599168 -0.2945604 -0.2795515 -0.2860509
## X309 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X310 -0.3131281 -0.2817297 -0.2729429 -0.2945604 3.5733972 -0.2860509
## X311 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X312 -0.3131281 3.5457693 3.6599168 -0.2945604 -0.2795515 3.4922050
## X313 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X314 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X315 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X316 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X317 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X318 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X319 -0.3131281 -0.2817297 -0.2729429 3.3913200 -0.2795515 3.4922050
## X320 -0.3131281 -0.2817297 -0.2729429 3.3913200 -0.2795515 -0.2860509
## X321 -0.3131281 3.5457693 3.6599168 -0.2945604 -0.2795515 -0.2860509
## X322 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X323 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X324 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X325 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X326 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X327 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X328 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X329 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X330 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X331 -0.3131281 -0.2817297 -0.2729429 3.3913200 -0.2795515 3.4922050
## X332 -0.3131281 -0.2817297 -0.2729429 3.3913200 -0.2795515 3.4922050
## X333 3.1902229 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X334 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X335 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X336 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X337 -0.3131281 -0.2817297 -0.2729429 3.3913200 -0.2795515 -0.2860509
## X338 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X339 -0.3131281 -0.2817297 -0.2729429 3.3913200 -0.2795515 -0.2860509
## X340 -0.3131281 3.5457693 3.6599168 -0.2945604 -0.2795515 -0.2860509
## X341 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X342 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X343 3.1902229 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X344 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X345 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X346 -0.3131281 -0.2817297 -0.2729429 -0.2945604 3.5733972 3.4922050
## X347 -0.3131281 -0.2817297 -0.2729429 -0.2945604 3.5733972 -0.2860509
## X348 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X349 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X350 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X351 3.1902229 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X352 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X353 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X354 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X355 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X356 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X357 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X358 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X359 -0.3131281 -0.2817297 -0.2729429 -0.2945604 3.5733972 3.4922050
## X360 -0.3131281 -0.2817297 -0.2729429 -0.2945604 3.5733972 -0.2860509
## X361 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X362 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X363 -0.3131281 -0.2817297 -0.2729429 3.3913200 -0.2795515 -0.2860509
## X364 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X365 -0.3131281 -0.2817297 -0.2729429 3.3913200 -0.2795515 -0.2860509
## X366 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X367 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X368 -0.3131281 -0.2817297 -0.2729429 -0.2945604 3.5733972 -0.2860509
## X369 3.1902229 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X370 -0.3131281 -0.2817297 -0.2729429 3.3913200 -0.2795515 -0.2860509
## X371 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X372 -0.3131281 3.5457693 3.6599168 3.3913200 -0.2795515 -0.2860509
## X373 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X374 -0.3131281 -0.2817297 -0.2729429 3.3913200 -0.2795515 3.4922050
## X375 -0.3131281 -0.2817297 -0.2729429 -0.2945604 3.5733972 -0.2860509
## X376 -0.3131281 -0.2817297 -0.2729429 -0.2945604 3.5733972 -0.2860509
## X377 -0.3131281 -0.2817297 -0.2729429 -0.2945604 3.5733972 -0.2860509
## X378 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X379 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X380 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X381 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X382 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X383 -0.3131281 -0.2817297 -0.2729429 -0.2945604 3.5733972 -0.2860509
## X384 -0.3131281 -0.2817297 -0.2729429 -0.2945604 3.5733972 -0.2860509
## X385 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X386 -0.3131281 -0.2817297 -0.2729429 3.3913200 -0.2795515 -0.2860509
## X387 3.1902229 3.5457693 3.6599168 -0.2945604 -0.2795515 -0.2860509
## X388 -0.3131281 3.5457693 3.6599168 3.3913200 -0.2795515 -0.2860509
## X389 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X390 3.1902229 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X391 -0.3131281 -0.2817297 -0.2729429 -0.2945604 3.5733972 -0.2860509
## X392 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X393 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X394 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X395 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X396 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X397 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X398 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X399 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X400 -0.3131281 -0.2817297 -0.2729429 3.3913200 -0.2795515 -0.2860509
## X401 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X402 -0.3131281 3.5457693 3.6599168 -0.2945604 -0.2795515 -0.2860509
## X403 -0.3131281 3.5457693 3.6599168 -0.2945604 -0.2795515 -0.2860509
## X404 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X405 3.1902229 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X406 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X407 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X408 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X409 -0.3131281 -0.2817297 -0.2729429 -0.2945604 3.5733972 3.4922050
## X410 -0.3131281 -0.2817297 -0.2729429 3.3913200 -0.2795515 -0.2860509
## X411 -0.3131281 3.5457693 3.6599168 -0.2945604 -0.2795515 -0.2860509
## X412 -0.3131281 -0.2817297 -0.2729429 3.3913200 -0.2795515 -0.2860509
## X413 -0.3131281 -0.2817297 -0.2729429 3.3913200 -0.2795515 3.4922050
## X414 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X415 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X416 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X417 -0.3131281 -0.2817297 -0.2729429 3.3913200 -0.2795515 -0.2860509
## X418 -0.3131281 3.5457693 3.6599168 -0.2945604 -0.2795515 -0.2860509
## X419 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X420 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X421 -0.3131281 -0.2817297 -0.2729429 3.3913200 -0.2795515 -0.2860509
## X422 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X423 -0.3131281 -0.2817297 -0.2729429 -0.2945604 3.5733972 -0.2860509
## X424 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X425 -0.3131281 -0.2817297 -0.2729429 -0.2945604 3.5733972 -0.2860509
## X426 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X427 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X428 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X429 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X430 -0.3131281 -0.2817297 -0.2729429 3.3913200 -0.2795515 3.4922050
## X431 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X432 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X433 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X434 3.1902229 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X435 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X436 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X437 3.1902229 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X438 -0.3131281 -0.2817297 -0.2729429 -0.2945604 3.5733972 -0.2860509
## X439 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X440 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X441 3.1902229 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X442 -0.3131281 3.5457693 3.6599168 -0.2945604 -0.2795515 -0.2860509
## X443 -0.3131281 -0.2817297 -0.2729429 3.3913200 -0.2795515 -0.2860509
## X444 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X445 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X446 -0.3131281 -0.2817297 -0.2729429 3.3913200 -0.2795515 -0.2860509
## X447 3.1902229 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X448 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X449 3.1902229 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X450 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X451 -0.3131281 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X452 -0.3131281 3.5457693 3.6599168 -0.2945604 -0.2795515 -0.2860509
## X453 3.1902229 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## X454 3.1902229 -0.2817297 -0.2729429 -0.2945604 -0.2795515 -0.2860509
## FP037 FP038 FP039 FP040 FP041 FP042
## X1 -0.2751584 -0.3070214 3.5187119 3.6900455 -0.2593632 -0.2452292
## X2 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X3 -0.2751584 3.2536775 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X4 -0.2751584 -0.3070214 -0.2838961 -0.2707144 3.8515432 -0.2452292
## X5 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X6 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X7 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X8 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X9 3.6304485 -0.3070214 -0.2838961 -0.2707144 3.8515432 -0.2452292
## X10 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X11 3.6304485 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X12 3.6304485 -0.3070214 -0.2838961 -0.2707144 3.8515432 -0.2452292
## X13 -0.2751584 -0.3070214 3.5187119 -0.2707144 -0.2593632 -0.2452292
## X14 -0.2751584 -0.3070214 3.5187119 -0.2707144 -0.2593632 -0.2452292
## X15 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X16 -0.2751584 3.2536775 3.5187119 -0.2707144 -0.2593632 -0.2452292
## X17 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X18 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X19 3.6304485 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X20 -0.2751584 -0.3070214 3.5187119 -0.2707144 -0.2593632 -0.2452292
## X21 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X22 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X23 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X24 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X25 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X26 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X27 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X28 -0.2751584 -0.3070214 3.5187119 -0.2707144 -0.2593632 4.0735297
## X29 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X30 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X31 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X32 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X33 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X34 -0.2751584 -0.3070214 3.5187119 -0.2707144 -0.2593632 -0.2452292
## X35 -0.2751584 -0.3070214 -0.2838961 -0.2707144 3.8515432 -0.2452292
## X36 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X37 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X38 -0.2751584 3.2536775 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X39 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X40 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X41 3.6304485 -0.3070214 -0.2838961 -0.2707144 3.8515432 -0.2452292
## X42 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X43 -0.2751584 -0.3070214 3.5187119 -0.2707144 -0.2593632 -0.2452292
## X44 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X45 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X46 3.6304485 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X47 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X48 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X49 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X50 -0.2751584 3.2536775 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X51 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X52 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X53 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X54 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X55 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X56 3.6304485 -0.3070214 -0.2838961 -0.2707144 3.8515432 -0.2452292
## X57 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 4.0735297
## X58 -0.2751584 -0.3070214 3.5187119 -0.2707144 -0.2593632 -0.2452292
## X59 3.6304485 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X60 -0.2751584 3.2536775 3.5187119 -0.2707144 -0.2593632 -0.2452292
## X61 -0.2751584 3.2536775 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X62 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X63 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X64 -0.2751584 -0.3070214 3.5187119 -0.2707144 -0.2593632 -0.2452292
## X65 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X66 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X67 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X68 3.6304485 -0.3070214 -0.2838961 -0.2707144 3.8515432 -0.2452292
## X69 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X70 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X71 -0.2751584 -0.3070214 3.5187119 -0.2707144 -0.2593632 -0.2452292
## X72 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X73 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X74 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X75 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X76 3.6304485 -0.3070214 -0.2838961 -0.2707144 3.8515432 -0.2452292
## X77 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X78 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 4.0735297
## X79 -0.2751584 -0.3070214 3.5187119 -0.2707144 -0.2593632 -0.2452292
## X80 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X81 3.6304485 -0.3070214 -0.2838961 -0.2707144 3.8515432 -0.2452292
## X82 -0.2751584 -0.3070214 3.5187119 -0.2707144 -0.2593632 -0.2452292
## X83 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X84 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X85 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X86 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X87 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X88 -0.2751584 3.2536775 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X89 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X90 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X91 -0.2751584 3.2536775 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X92 -0.2751584 -0.3070214 3.5187119 -0.2707144 -0.2593632 4.0735297
## X93 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X94 -0.2751584 -0.3070214 -0.2838961 -0.2707144 3.8515432 -0.2452292
## X95 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X96 -0.2751584 3.2536775 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X97 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X98 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X99 3.6304485 -0.3070214 -0.2838961 -0.2707144 3.8515432 -0.2452292
## X100 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X101 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X102 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X103 -0.2751584 3.2536775 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X104 -0.2751584 -0.3070214 3.5187119 -0.2707144 -0.2593632 -0.2452292
## X105 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X106 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X107 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X108 3.6304485 -0.3070214 -0.2838961 -0.2707144 3.8515432 -0.2452292
## X109 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X110 -0.2751584 3.2536775 3.5187119 -0.2707144 -0.2593632 -0.2452292
## X111 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X112 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X113 -0.2751584 3.2536775 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X114 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X115 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X116 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X117 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X118 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X119 -0.2751584 -0.3070214 3.5187119 -0.2707144 -0.2593632 -0.2452292
## X120 -0.2751584 -0.3070214 3.5187119 -0.2707144 -0.2593632 4.0735297
## X121 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X122 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X123 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X124 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X125 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X126 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X127 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X128 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X129 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X130 -0.2751584 -0.3070214 3.5187119 -0.2707144 -0.2593632 -0.2452292
## X131 -0.2751584 -0.3070214 3.5187119 -0.2707144 -0.2593632 -0.2452292
## X132 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X133 -0.2751584 -0.3070214 3.5187119 -0.2707144 -0.2593632 -0.2452292
## X134 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X135 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X136 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X137 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X138 -0.2751584 -0.3070214 -0.2838961 -0.2707144 3.8515432 -0.2452292
## X139 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X140 -0.2751584 -0.3070214 3.5187119 -0.2707144 -0.2593632 -0.2452292
## X141 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X142 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X143 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X144 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X145 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X146 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X147 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X148 -0.2751584 -0.3070214 3.5187119 -0.2707144 -0.2593632 -0.2452292
## X149 -0.2751584 -0.3070214 3.5187119 -0.2707144 -0.2593632 -0.2452292
## X150 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X151 -0.2751584 -0.3070214 3.5187119 -0.2707144 -0.2593632 -0.2452292
## X152 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X153 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X154 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X155 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X156 -0.2751584 -0.3070214 3.5187119 -0.2707144 -0.2593632 -0.2452292
## X157 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X158 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X159 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X160 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X161 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X162 3.6304485 -0.3070214 -0.2838961 -0.2707144 3.8515432 -0.2452292
## X163 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X164 3.6304485 -0.3070214 -0.2838961 -0.2707144 3.8515432 -0.2452292
## X165 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X166 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X167 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X168 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X169 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X170 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X171 3.6304485 -0.3070214 -0.2838961 -0.2707144 3.8515432 -0.2452292
## X172 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X173 -0.2751584 -0.3070214 -0.2838961 3.6900455 -0.2593632 -0.2452292
## X174 -0.2751584 -0.3070214 -0.2838961 3.6900455 -0.2593632 -0.2452292
## X175 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X176 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X177 3.6304485 -0.3070214 -0.2838961 -0.2707144 3.8515432 -0.2452292
## X178 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X179 -0.2751584 3.2536775 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X180 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X181 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X182 3.6304485 -0.3070214 -0.2838961 -0.2707144 3.8515432 -0.2452292
## X183 -0.2751584 -0.3070214 3.5187119 -0.2707144 -0.2593632 -0.2452292
## X184 -0.2751584 -0.3070214 -0.2838961 3.6900455 -0.2593632 -0.2452292
## X185 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X186 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X187 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X188 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X189 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X190 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X191 3.6304485 -0.3070214 -0.2838961 -0.2707144 3.8515432 -0.2452292
## X192 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X193 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X194 3.6304485 -0.3070214 -0.2838961 -0.2707144 3.8515432 -0.2452292
## X195 -0.2751584 -0.3070214 3.5187119 -0.2707144 -0.2593632 -0.2452292
## X196 3.6304485 -0.3070214 -0.2838961 -0.2707144 3.8515432 -0.2452292
## X197 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X198 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X199 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X200 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X201 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X202 3.6304485 -0.3070214 3.5187119 -0.2707144 -0.2593632 -0.2452292
## X203 -0.2751584 -0.3070214 -0.2838961 -0.2707144 3.8515432 -0.2452292
## X204 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X205 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X206 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X207 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X208 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X209 -0.2751584 -0.3070214 3.5187119 -0.2707144 -0.2593632 -0.2452292
## X210 -0.2751584 -0.3070214 3.5187119 -0.2707144 -0.2593632 -0.2452292
## X211 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X212 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X213 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X214 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X215 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X216 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X217 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X218 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X219 -0.2751584 3.2536775 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X220 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X221 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X222 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X223 -0.2751584 -0.3070214 3.5187119 -0.2707144 -0.2593632 -0.2452292
## X224 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X225 -0.2751584 -0.3070214 3.5187119 -0.2707144 -0.2593632 -0.2452292
## X226 -0.2751584 -0.3070214 3.5187119 -0.2707144 -0.2593632 -0.2452292
## X227 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X228 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X229 -0.2751584 -0.3070214 3.5187119 -0.2707144 -0.2593632 -0.2452292
## X230 -0.2751584 -0.3070214 3.5187119 -0.2707144 -0.2593632 -0.2452292
## X231 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X232 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X233 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X234 3.6304485 -0.3070214 -0.2838961 -0.2707144 3.8515432 -0.2452292
## X235 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X236 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X237 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X238 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X239 -0.2751584 3.2536775 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X240 3.6304485 -0.3070214 -0.2838961 -0.2707144 3.8515432 -0.2452292
## X241 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X242 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X243 -0.2751584 -0.3070214 3.5187119 3.6900455 -0.2593632 -0.2452292
## X244 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 4.0735297
## X245 -0.2751584 3.2536775 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X246 -0.2751584 -0.3070214 -0.2838961 -0.2707144 3.8515432 -0.2452292
## X247 -0.2751584 -0.3070214 -0.2838961 3.6900455 -0.2593632 4.0735297
## X248 3.6304485 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X249 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X250 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X251 -0.2751584 -0.3070214 -0.2838961 3.6900455 -0.2593632 -0.2452292
## X252 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X253 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X254 -0.2751584 -0.3070214 -0.2838961 3.6900455 -0.2593632 -0.2452292
## X255 -0.2751584 3.2536775 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X256 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X257 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 4.0735297
## X258 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X259 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X260 -0.2751584 3.2536775 3.5187119 -0.2707144 -0.2593632 -0.2452292
## X261 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X262 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X263 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X264 -0.2751584 -0.3070214 3.5187119 3.6900455 -0.2593632 -0.2452292
## X265 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X266 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X267 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 4.0735297
## X268 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X269 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X270 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X271 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X272 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X273 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X274 -0.2751584 -0.3070214 -0.2838961 -0.2707144 3.8515432 -0.2452292
## X275 -0.2751584 3.2536775 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X276 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 4.0735297
## X277 -0.2751584 -0.3070214 3.5187119 3.6900455 -0.2593632 -0.2452292
## X278 -0.2751584 -0.3070214 -0.2838961 3.6900455 -0.2593632 -0.2452292
## X279 -0.2751584 -0.3070214 3.5187119 3.6900455 -0.2593632 -0.2452292
## X280 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X281 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X282 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X283 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X284 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X285 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X286 -0.2751584 -0.3070214 -0.2838961 3.6900455 -0.2593632 4.0735297
## X287 -0.2751584 -0.3070214 -0.2838961 3.6900455 -0.2593632 4.0735297
## X288 -0.2751584 3.2536775 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X289 3.6304485 -0.3070214 -0.2838961 -0.2707144 3.8515432 -0.2452292
## X290 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X291 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X292 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 4.0735297
## X293 -0.2751584 -0.3070214 3.5187119 -0.2707144 -0.2593632 -0.2452292
## X294 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X295 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X296 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 4.0735297
## X297 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X298 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X299 -0.2751584 -0.3070214 -0.2838961 -0.2707144 3.8515432 -0.2452292
## X300 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X301 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X302 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X303 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X304 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X305 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X306 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X307 -0.2751584 -0.3070214 3.5187119 3.6900455 -0.2593632 -0.2452292
## X308 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X309 -0.2751584 -0.3070214 3.5187119 3.6900455 -0.2593632 -0.2452292
## X310 3.6304485 -0.3070214 -0.2838961 -0.2707144 3.8515432 -0.2452292
## X311 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X312 3.6304485 -0.3070214 -0.2838961 -0.2707144 3.8515432 -0.2452292
## X313 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X314 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X315 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X316 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X317 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X318 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X319 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X320 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X321 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X322 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 4.0735297
## X323 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X324 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X325 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X326 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X327 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X328 -0.2751584 3.2536775 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X329 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X330 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 4.0735297
## X331 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X332 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X333 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X334 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 4.0735297
## X335 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 4.0735297
## X336 -0.2751584 -0.3070214 -0.2838961 -0.2707144 3.8515432 -0.2452292
## X337 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 4.0735297
## X338 -0.2751584 -0.3070214 3.5187119 -0.2707144 -0.2593632 -0.2452292
## X339 -0.2751584 -0.3070214 -0.2838961 3.6900455 -0.2593632 -0.2452292
## X340 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X341 3.6304485 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X342 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X343 -0.2751584 -0.3070214 -0.2838961 -0.2707144 3.8515432 -0.2452292
## X344 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X345 -0.2751584 -0.3070214 3.5187119 3.6900455 -0.2593632 -0.2452292
## X346 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X347 -0.2751584 3.2536775 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X348 -0.2751584 -0.3070214 3.5187119 3.6900455 -0.2593632 -0.2452292
## X349 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X350 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X351 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X352 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X353 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X354 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X355 -0.2751584 3.2536775 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X356 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X357 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X358 -0.2751584 3.2536775 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X359 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X360 3.6304485 -0.3070214 -0.2838961 -0.2707144 3.8515432 -0.2452292
## X361 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X362 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X363 -0.2751584 -0.3070214 -0.2838961 3.6900455 -0.2593632 4.0735297
## X364 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X365 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X366 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X367 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X368 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X369 -0.2751584 -0.3070214 3.5187119 -0.2707144 -0.2593632 -0.2452292
## X370 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X371 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X372 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X373 -0.2751584 -0.3070214 3.5187119 -0.2707144 -0.2593632 -0.2452292
## X374 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X375 3.6304485 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X376 3.6304485 -0.3070214 -0.2838961 -0.2707144 3.8515432 -0.2452292
## X377 -0.2751584 3.2536775 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X378 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X379 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X380 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X381 -0.2751584 3.2536775 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X382 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X383 3.6304485 -0.3070214 -0.2838961 -0.2707144 3.8515432 -0.2452292
## X384 3.6304485 -0.3070214 -0.2838961 -0.2707144 3.8515432 -0.2452292
## X385 -0.2751584 3.2536775 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X386 -0.2751584 -0.3070214 -0.2838961 3.6900455 -0.2593632 4.0735297
## X387 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X388 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X389 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X390 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X391 -0.2751584 3.2536775 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X392 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X393 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X394 -0.2751584 -0.3070214 3.5187119 -0.2707144 -0.2593632 -0.2452292
## X395 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 4.0735297
## X396 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X397 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X398 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X399 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X400 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X401 -0.2751584 -0.3070214 3.5187119 -0.2707144 -0.2593632 -0.2452292
## X402 -0.2751584 3.2536775 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X403 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X404 3.6304485 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X405 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X406 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X407 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X408 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X409 -0.2751584 -0.3070214 -0.2838961 -0.2707144 3.8515432 -0.2452292
## X410 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X411 3.6304485 -0.3070214 -0.2838961 -0.2707144 3.8515432 -0.2452292
## X412 -0.2751584 -0.3070214 -0.2838961 3.6900455 -0.2593632 4.0735297
## X413 -0.2751584 -0.3070214 -0.2838961 3.6900455 -0.2593632 -0.2452292
## X414 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X415 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X416 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X417 -0.2751584 -0.3070214 -0.2838961 3.6900455 -0.2593632 4.0735297
## X418 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X419 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X420 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X421 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X422 -0.2751584 3.2536775 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X423 3.6304485 -0.3070214 -0.2838961 -0.2707144 3.8515432 -0.2452292
## X424 -0.2751584 3.2536775 -0.2838961 3.6900455 3.8515432 -0.2452292
## X425 3.6304485 -0.3070214 -0.2838961 -0.2707144 3.8515432 -0.2452292
## X426 -0.2751584 -0.3070214 -0.2838961 -0.2707144 3.8515432 -0.2452292
## X427 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X428 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X429 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X430 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X431 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X432 -0.2751584 3.2536775 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X433 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X434 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X435 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X436 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X437 -0.2751584 3.2536775 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X438 3.6304485 -0.3070214 -0.2838961 -0.2707144 3.8515432 -0.2452292
## X439 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X440 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X441 3.6304485 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X442 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X443 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X444 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X445 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X446 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X447 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X448 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X449 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X450 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X451 -0.2751584 3.2536775 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X452 -0.2751584 -0.3070214 -0.2838961 -0.2707144 -0.2593632 -0.2452292
## X453 -0.2751584 -0.3070214 3.5187119 3.6900455 -0.2593632 -0.2452292
## X454 -0.2751584 -0.3070214 -0.2838961 -0.2707144 3.8515432 -0.2452292
## FP043 FP044 FP045 FP046 FP047 FP048
## X1 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X2 3.7523881 -0.2523714 -0.2428127 1.4723173 1.6601181 -0.3761751
## X3 -0.2662167 -0.2523714 4.1140710 -0.6784872 1.6601181 -0.3761751
## X4 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X5 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X6 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X7 -0.2662167 -0.2523714 -0.2428127 1.4723173 1.6601181 -0.3761751
## X8 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 2.6555412
## X9 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X10 -0.2662167 -0.2523714 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X11 -0.2662167 -0.2523714 -0.2428127 1.4723173 1.6601181 -0.3761751
## X12 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X13 -0.2662167 -0.2523714 -0.2428127 1.4723173 1.6601181 -0.3761751
## X14 -0.2662167 -0.2523714 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X15 -0.2662167 -0.2523714 -0.2428127 1.4723173 1.6601181 -0.3761751
## X16 -0.2662167 -0.2523714 -0.2428127 -0.6784872 1.6601181 -0.3761751
## X17 3.7523881 -0.2523714 4.1140710 -0.6784872 -0.6017334 2.6555412
## X18 3.7523881 -0.2523714 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X19 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X20 -0.2662167 -0.2523714 4.1140710 1.4723173 1.6601181 -0.3761751
## X21 -0.2662167 3.9582469 -0.2428127 1.4723173 1.6601181 -0.3761751
## X22 3.7523881 -0.2523714 4.1140710 1.4723173 1.6601181 -0.3761751
## X23 -0.2662167 -0.2523714 4.1140710 1.4723173 1.6601181 2.6555412
## X24 3.7523881 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X25 -0.2662167 -0.2523714 -0.2428127 1.4723173 1.6601181 -0.3761751
## X26 -0.2662167 -0.2523714 -0.2428127 -0.6784872 1.6601181 -0.3761751
## X27 3.7523881 -0.2523714 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X28 -0.2662167 -0.2523714 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X29 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X30 3.7523881 -0.2523714 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X31 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 2.6555412
## X32 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X33 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X34 -0.2662167 -0.2523714 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X35 -0.2662167 -0.2523714 4.1140710 -0.6784872 1.6601181 -0.3761751
## X36 -0.2662167 3.9582469 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X37 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X38 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X39 -0.2662167 -0.2523714 -0.2428127 -0.6784872 1.6601181 -0.3761751
## X40 -0.2662167 -0.2523714 -0.2428127 1.4723173 1.6601181 -0.3761751
## X41 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X42 -0.2662167 -0.2523714 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X43 -0.2662167 -0.2523714 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X44 3.7523881 -0.2523714 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X45 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X46 -0.2662167 -0.2523714 -0.2428127 1.4723173 1.6601181 -0.3761751
## X47 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 2.6555412
## X48 -0.2662167 -0.2523714 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X49 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X50 -0.2662167 3.9582469 -0.2428127 1.4723173 1.6601181 -0.3761751
## X51 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X52 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 2.6555412
## X53 -0.2662167 3.9582469 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X54 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X55 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X56 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X57 -0.2662167 -0.2523714 -0.2428127 -0.6784872 1.6601181 2.6555412
## X58 -0.2662167 -0.2523714 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X59 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X60 -0.2662167 -0.2523714 4.1140710 -0.6784872 1.6601181 -0.3761751
## X61 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 2.6555412
## X62 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 2.6555412
## X63 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X64 -0.2662167 -0.2523714 4.1140710 1.4723173 1.6601181 -0.3761751
## X65 -0.2662167 -0.2523714 -0.2428127 1.4723173 1.6601181 -0.3761751
## X66 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 2.6555412
## X67 3.7523881 -0.2523714 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X68 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 2.6555412
## X69 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 2.6555412
## X70 3.7523881 -0.2523714 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X71 -0.2662167 -0.2523714 -0.2428127 1.4723173 1.6601181 -0.3761751
## X72 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 2.6555412
## X73 -0.2662167 -0.2523714 -0.2428127 1.4723173 1.6601181 -0.3761751
## X74 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X75 -0.2662167 3.9582469 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X76 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X77 -0.2662167 3.9582469 -0.2428127 1.4723173 1.6601181 -0.3761751
## X78 -0.2662167 3.9582469 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X79 -0.2662167 -0.2523714 -0.2428127 1.4723173 1.6601181 -0.3761751
## X80 -0.2662167 -0.2523714 -0.2428127 -0.6784872 1.6601181 -0.3761751
## X81 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X82 -0.2662167 -0.2523714 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X83 3.7523881 -0.2523714 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X84 -0.2662167 -0.2523714 -0.2428127 1.4723173 1.6601181 -0.3761751
## X85 -0.2662167 -0.2523714 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X86 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 2.6555412
## X87 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 2.6555412
## X88 -0.2662167 3.9582469 -0.2428127 1.4723173 1.6601181 -0.3761751
## X89 -0.2662167 -0.2523714 4.1140710 -0.6784872 1.6601181 -0.3761751
## X90 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 2.6555412
## X91 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X92 -0.2662167 -0.2523714 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X93 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X94 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X95 -0.2662167 -0.2523714 -0.2428127 1.4723173 1.6601181 -0.3761751
## X96 -0.2662167 -0.2523714 4.1140710 -0.6784872 -0.6017334 -0.3761751
## X97 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 2.6555412
## X98 -0.2662167 3.9582469 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X99 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X100 -0.2662167 3.9582469 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X101 -0.2662167 3.9582469 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X102 3.7523881 -0.2523714 -0.2428127 1.4723173 1.6601181 -0.3761751
## X103 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 2.6555412
## X104 -0.2662167 -0.2523714 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X105 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X106 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X107 -0.2662167 -0.2523714 -0.2428127 -0.6784872 1.6601181 -0.3761751
## X108 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X109 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X110 -0.2662167 -0.2523714 4.1140710 1.4723173 1.6601181 -0.3761751
## X111 -0.2662167 -0.2523714 -0.2428127 1.4723173 1.6601181 2.6555412
## X112 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X113 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 2.6555412
## X114 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X115 -0.2662167 3.9582469 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X116 -0.2662167 -0.2523714 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X117 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 2.6555412
## X118 -0.2662167 3.9582469 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X119 -0.2662167 -0.2523714 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X120 -0.2662167 -0.2523714 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X121 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X122 -0.2662167 3.9582469 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X123 -0.2662167 -0.2523714 -0.2428127 1.4723173 1.6601181 -0.3761751
## X124 -0.2662167 -0.2523714 -0.2428127 1.4723173 1.6601181 -0.3761751
## X125 -0.2662167 3.9582469 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X126 -0.2662167 3.9582469 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X127 -0.2662167 -0.2523714 -0.2428127 1.4723173 1.6601181 -0.3761751
## X128 -0.2662167 3.9582469 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X129 -0.2662167 3.9582469 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X130 -0.2662167 3.9582469 -0.2428127 1.4723173 1.6601181 -0.3761751
## X131 -0.2662167 -0.2523714 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X132 -0.2662167 3.9582469 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X133 -0.2662167 -0.2523714 4.1140710 1.4723173 1.6601181 -0.3761751
## X134 -0.2662167 -0.2523714 -0.2428127 -0.6784872 1.6601181 -0.3761751
## X135 -0.2662167 3.9582469 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X136 -0.2662167 3.9582469 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X137 -0.2662167 3.9582469 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X138 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X139 -0.2662167 3.9582469 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X140 -0.2662167 -0.2523714 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X141 -0.2662167 3.9582469 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X142 -0.2662167 3.9582469 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X143 -0.2662167 3.9582469 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X144 -0.2662167 3.9582469 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X145 -0.2662167 3.9582469 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X146 -0.2662167 3.9582469 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X147 -0.2662167 3.9582469 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X148 -0.2662167 -0.2523714 4.1140710 1.4723173 1.6601181 -0.3761751
## X149 -0.2662167 3.9582469 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X150 -0.2662167 3.9582469 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X151 -0.2662167 -0.2523714 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X152 -0.2662167 -0.2523714 -0.2428127 1.4723173 1.6601181 -0.3761751
## X153 -0.2662167 3.9582469 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X154 -0.2662167 3.9582469 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X155 -0.2662167 3.9582469 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X156 -0.2662167 -0.2523714 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X157 -0.2662167 3.9582469 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X158 -0.2662167 3.9582469 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X159 -0.2662167 3.9582469 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X160 -0.2662167 -0.2523714 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X161 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 2.6555412
## X162 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X163 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X164 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X165 -0.2662167 -0.2523714 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X166 -0.2662167 -0.2523714 4.1140710 1.4723173 1.6601181 2.6555412
## X167 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X168 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X169 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X170 3.7523881 -0.2523714 4.1140710 -0.6784872 1.6601181 -0.3761751
## X171 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X172 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X173 -0.2662167 -0.2523714 -0.2428127 1.4723173 1.6601181 -0.3761751
## X174 -0.2662167 -0.2523714 -0.2428127 1.4723173 1.6601181 -0.3761751
## X175 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X176 3.7523881 -0.2523714 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X177 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X178 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X179 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X180 -0.2662167 -0.2523714 4.1140710 -0.6784872 1.6601181 -0.3761751
## X181 3.7523881 -0.2523714 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X182 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X183 -0.2662167 -0.2523714 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X184 -0.2662167 -0.2523714 -0.2428127 1.4723173 1.6601181 -0.3761751
## X185 -0.2662167 -0.2523714 -0.2428127 -0.6784872 1.6601181 -0.3761751
## X186 3.7523881 -0.2523714 -0.2428127 -0.6784872 1.6601181 -0.3761751
## X187 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 2.6555412
## X188 3.7523881 -0.2523714 4.1140710 1.4723173 1.6601181 -0.3761751
## X189 3.7523881 -0.2523714 -0.2428127 1.4723173 1.6601181 -0.3761751
## X190 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X191 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X192 -0.2662167 -0.2523714 -0.2428127 1.4723173 1.6601181 -0.3761751
## X193 -0.2662167 -0.2523714 4.1140710 1.4723173 1.6601181 -0.3761751
## X194 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X195 -0.2662167 -0.2523714 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X196 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X197 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X198 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X199 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X200 -0.2662167 3.9582469 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X201 -0.2662167 -0.2523714 4.1140710 1.4723173 1.6601181 2.6555412
## X202 -0.2662167 -0.2523714 4.1140710 -0.6784872 1.6601181 -0.3761751
## X203 -0.2662167 -0.2523714 -0.2428127 1.4723173 1.6601181 -0.3761751
## X204 -0.2662167 -0.2523714 -0.2428127 -0.6784872 1.6601181 -0.3761751
## X205 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X206 3.7523881 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X207 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X208 -0.2662167 3.9582469 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X209 -0.2662167 -0.2523714 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X210 -0.2662167 -0.2523714 4.1140710 -0.6784872 1.6601181 -0.3761751
## X211 -0.2662167 3.9582469 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X212 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X213 -0.2662167 3.9582469 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X214 -0.2662167 -0.2523714 -0.2428127 1.4723173 1.6601181 -0.3761751
## X215 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X216 -0.2662167 3.9582469 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X217 -0.2662167 -0.2523714 -0.2428127 1.4723173 1.6601181 -0.3761751
## X218 -0.2662167 -0.2523714 -0.2428127 1.4723173 1.6601181 -0.3761751
## X219 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 2.6555412
## X220 -0.2662167 3.9582469 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X221 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 2.6555412
## X222 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X223 -0.2662167 -0.2523714 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X224 -0.2662167 3.9582469 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X225 -0.2662167 3.9582469 -0.2428127 1.4723173 1.6601181 -0.3761751
## X226 -0.2662167 -0.2523714 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X227 -0.2662167 3.9582469 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X228 -0.2662167 3.9582469 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X229 -0.2662167 3.9582469 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X230 -0.2662167 -0.2523714 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X231 -0.2662167 3.9582469 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X232 -0.2662167 3.9582469 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X233 -0.2662167 -0.2523714 -0.2428127 1.4723173 1.6601181 -0.3761751
## X234 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X235 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X236 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X237 -0.2662167 -0.2523714 -0.2428127 -0.6784872 1.6601181 -0.3761751
## X238 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X239 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X240 3.7523881 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X241 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X242 -0.2662167 -0.2523714 -0.2428127 -0.6784872 1.6601181 -0.3761751
## X243 -0.2662167 -0.2523714 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X244 -0.2662167 -0.2523714 -0.2428127 -0.6784872 1.6601181 -0.3761751
## X245 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X246 -0.2662167 -0.2523714 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X247 -0.2662167 -0.2523714 -0.2428127 -0.6784872 1.6601181 -0.3761751
## X248 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 2.6555412
## X249 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X250 -0.2662167 -0.2523714 -0.2428127 1.4723173 1.6601181 -0.3761751
## X251 -0.2662167 -0.2523714 4.1140710 -0.6784872 -0.6017334 -0.3761751
## X252 -0.2662167 -0.2523714 -0.2428127 1.4723173 1.6601181 -0.3761751
## X253 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X254 -0.2662167 -0.2523714 -0.2428127 -0.6784872 1.6601181 -0.3761751
## X255 -0.2662167 -0.2523714 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X256 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 2.6555412
## X257 -0.2662167 -0.2523714 -0.2428127 -0.6784872 1.6601181 -0.3761751
## X258 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 2.6555412
## X259 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X260 -0.2662167 -0.2523714 4.1140710 1.4723173 1.6601181 -0.3761751
## X261 -0.2662167 -0.2523714 -0.2428127 1.4723173 1.6601181 -0.3761751
## X262 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X263 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 2.6555412
## X264 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X265 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X266 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X267 -0.2662167 3.9582469 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X268 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 2.6555412
## X269 3.7523881 -0.2523714 -0.2428127 -0.6784872 1.6601181 -0.3761751
## X270 -0.2662167 -0.2523714 -0.2428127 -0.6784872 1.6601181 2.6555412
## X271 -0.2662167 -0.2523714 -0.2428127 1.4723173 1.6601181 -0.3761751
## X272 -0.2662167 -0.2523714 4.1140710 1.4723173 1.6601181 -0.3761751
## X273 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 2.6555412
## X274 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X275 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 2.6555412
## X276 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X277 3.7523881 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X278 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X279 -0.2662167 -0.2523714 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X280 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X281 -0.2662167 -0.2523714 -0.2428127 1.4723173 1.6601181 -0.3761751
## X282 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X283 -0.2662167 -0.2523714 -0.2428127 1.4723173 1.6601181 -0.3761751
## X284 3.7523881 -0.2523714 -0.2428127 1.4723173 1.6601181 -0.3761751
## X285 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X286 -0.2662167 -0.2523714 -0.2428127 -0.6784872 1.6601181 -0.3761751
## X287 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X288 -0.2662167 -0.2523714 4.1140710 -0.6784872 -0.6017334 -0.3761751
## X289 3.7523881 -0.2523714 -0.2428127 1.4723173 1.6601181 -0.3761751
## X290 -0.2662167 -0.2523714 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X291 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X292 -0.2662167 -0.2523714 -0.2428127 -0.6784872 1.6601181 -0.3761751
## X293 -0.2662167 -0.2523714 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X294 -0.2662167 -0.2523714 4.1140710 -0.6784872 1.6601181 -0.3761751
## X295 -0.2662167 -0.2523714 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X296 -0.2662167 -0.2523714 -0.2428127 -0.6784872 1.6601181 -0.3761751
## X297 -0.2662167 -0.2523714 -0.2428127 1.4723173 1.6601181 -0.3761751
## X298 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X299 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X300 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 2.6555412
## X301 -0.2662167 -0.2523714 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X302 -0.2662167 -0.2523714 4.1140710 -0.6784872 1.6601181 -0.3761751
## X303 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X304 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X305 -0.2662167 -0.2523714 -0.2428127 1.4723173 1.6601181 2.6555412
## X306 -0.2662167 -0.2523714 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X307 3.7523881 -0.2523714 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X308 -0.2662167 -0.2523714 -0.2428127 -0.6784872 1.6601181 -0.3761751
## X309 3.7523881 -0.2523714 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X310 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X311 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 2.6555412
## X312 3.7523881 -0.2523714 -0.2428127 1.4723173 1.6601181 -0.3761751
## X313 3.7523881 -0.2523714 -0.2428127 -0.6784872 -0.6017334 2.6555412
## X314 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X315 -0.2662167 -0.2523714 -0.2428127 -0.6784872 1.6601181 -0.3761751
## X316 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X317 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X318 3.7523881 -0.2523714 4.1140710 -0.6784872 1.6601181 -0.3761751
## X319 -0.2662167 -0.2523714 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X320 3.7523881 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X321 -0.2662167 -0.2523714 -0.2428127 1.4723173 1.6601181 -0.3761751
## X322 3.7523881 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X323 -0.2662167 -0.2523714 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X324 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 2.6555412
## X325 -0.2662167 -0.2523714 -0.2428127 1.4723173 1.6601181 -0.3761751
## X326 -0.2662167 -0.2523714 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X327 -0.2662167 -0.2523714 4.1140710 1.4723173 1.6601181 -0.3761751
## X328 -0.2662167 -0.2523714 -0.2428127 1.4723173 1.6601181 -0.3761751
## X329 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 2.6555412
## X330 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X331 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X332 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X333 -0.2662167 -0.2523714 4.1140710 1.4723173 1.6601181 -0.3761751
## X334 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X335 -0.2662167 -0.2523714 -0.2428127 -0.6784872 1.6601181 2.6555412
## X336 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X337 -0.2662167 -0.2523714 -0.2428127 -0.6784872 1.6601181 -0.3761751
## X338 -0.2662167 -0.2523714 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X339 -0.2662167 -0.2523714 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X340 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X341 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 2.6555412
## X342 -0.2662167 -0.2523714 -0.2428127 -0.6784872 1.6601181 -0.3761751
## X343 3.7523881 -0.2523714 -0.2428127 1.4723173 1.6601181 -0.3761751
## X344 -0.2662167 -0.2523714 -0.2428127 1.4723173 1.6601181 -0.3761751
## X345 -0.2662167 -0.2523714 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X346 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 2.6555412
## X347 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X348 3.7523881 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X349 -0.2662167 -0.2523714 4.1140710 1.4723173 1.6601181 -0.3761751
## X350 -0.2662167 -0.2523714 -0.2428127 1.4723173 1.6601181 -0.3761751
## X351 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 2.6555412
## X352 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X353 -0.2662167 -0.2523714 -0.2428127 -0.6784872 1.6601181 2.6555412
## X354 3.7523881 -0.2523714 -0.2428127 1.4723173 1.6601181 -0.3761751
## X355 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X356 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X357 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X358 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 2.6555412
## X359 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 2.6555412
## X360 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X361 -0.2662167 -0.2523714 -0.2428127 1.4723173 1.6601181 2.6555412
## X362 -0.2662167 -0.2523714 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X363 -0.2662167 -0.2523714 -0.2428127 -0.6784872 1.6601181 -0.3761751
## X364 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X365 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X366 -0.2662167 -0.2523714 -0.2428127 1.4723173 1.6601181 -0.3761751
## X367 -0.2662167 -0.2523714 -0.2428127 1.4723173 1.6601181 -0.3761751
## X368 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X369 -0.2662167 -0.2523714 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X370 -0.2662167 -0.2523714 4.1140710 1.4723173 1.6601181 -0.3761751
## X371 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X372 -0.2662167 -0.2523714 -0.2428127 1.4723173 1.6601181 -0.3761751
## X373 -0.2662167 -0.2523714 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X374 -0.2662167 -0.2523714 -0.2428127 1.4723173 1.6601181 -0.3761751
## X375 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X376 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X377 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X378 -0.2662167 -0.2523714 4.1140710 1.4723173 1.6601181 -0.3761751
## X379 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 2.6555412
## X380 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X381 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X382 -0.2662167 -0.2523714 -0.2428127 -0.6784872 1.6601181 -0.3761751
## X383 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X384 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X385 -0.2662167 -0.2523714 -0.2428127 1.4723173 1.6601181 -0.3761751
## X386 -0.2662167 -0.2523714 -0.2428127 -0.6784872 1.6601181 -0.3761751
## X387 -0.2662167 -0.2523714 -0.2428127 1.4723173 -0.6017334 2.6555412
## X388 -0.2662167 -0.2523714 -0.2428127 1.4723173 1.6601181 -0.3761751
## X389 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X390 -0.2662167 -0.2523714 -0.2428127 1.4723173 -0.6017334 2.6555412
## X391 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X392 3.7523881 -0.2523714 -0.2428127 -0.6784872 1.6601181 2.6555412
## X393 -0.2662167 -0.2523714 -0.2428127 1.4723173 1.6601181 -0.3761751
## X394 -0.2662167 -0.2523714 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X395 -0.2662167 -0.2523714 -0.2428127 -0.6784872 1.6601181 2.6555412
## X396 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X397 -0.2662167 -0.2523714 4.1140710 1.4723173 1.6601181 -0.3761751
## X398 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X399 -0.2662167 -0.2523714 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X400 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X401 -0.2662167 -0.2523714 4.1140710 1.4723173 -0.6017334 -0.3761751
## X402 -0.2662167 -0.2523714 4.1140710 -0.6784872 1.6601181 -0.3761751
## X403 -0.2662167 -0.2523714 4.1140710 -0.6784872 1.6601181 2.6555412
## X404 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 2.6555412
## X405 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X406 -0.2662167 -0.2523714 -0.2428127 -0.6784872 1.6601181 -0.3761751
## X407 -0.2662167 -0.2523714 -0.2428127 1.4723173 1.6601181 -0.3761751
## X408 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X409 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X410 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X411 -0.2662167 -0.2523714 -0.2428127 -0.6784872 1.6601181 -0.3761751
## X412 -0.2662167 -0.2523714 -0.2428127 1.4723173 1.6601181 -0.3761751
## X413 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X414 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 2.6555412
## X415 -0.2662167 -0.2523714 -0.2428127 -0.6784872 1.6601181 -0.3761751
## X416 -0.2662167 -0.2523714 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X417 -0.2662167 -0.2523714 -0.2428127 -0.6784872 1.6601181 -0.3761751
## X418 -0.2662167 -0.2523714 -0.2428127 -0.6784872 1.6601181 -0.3761751
## X419 -0.2662167 -0.2523714 -0.2428127 1.4723173 1.6601181 -0.3761751
## X420 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X421 -0.2662167 -0.2523714 -0.2428127 1.4723173 1.6601181 -0.3761751
## X422 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X423 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X424 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X425 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X426 -0.2662167 -0.2523714 -0.2428127 1.4723173 1.6601181 -0.3761751
## X427 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X428 -0.2662167 -0.2523714 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X429 -0.2662167 -0.2523714 4.1140710 1.4723173 1.6601181 -0.3761751
## X430 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X431 -0.2662167 -0.2523714 -0.2428127 -0.6784872 1.6601181 -0.3761751
## X432 -0.2662167 -0.2523714 4.1140710 -0.6784872 -0.6017334 -0.3761751
## X433 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X434 -0.2662167 -0.2523714 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X435 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 2.6555412
## X436 -0.2662167 -0.2523714 -0.2428127 -0.6784872 1.6601181 -0.3761751
## X437 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X438 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X439 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X440 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X441 -0.2662167 -0.2523714 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X442 3.7523881 -0.2523714 4.1140710 -0.6784872 1.6601181 -0.3761751
## X443 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X444 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 2.6555412
## X445 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 2.6555412
## X446 -0.2662167 -0.2523714 -0.2428127 1.4723173 -0.6017334 -0.3761751
## X447 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 2.6555412
## X448 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X449 -0.2662167 -0.2523714 -0.2428127 -0.6784872 1.6601181 -0.3761751
## X450 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X451 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 2.6555412
## X452 -0.2662167 -0.2523714 -0.2428127 -0.6784872 1.6601181 -0.3761751
## X453 -0.2662167 -0.2523714 -0.2428127 -0.6784872 -0.6017334 -0.3761751
## X454 -0.2662167 -0.2523714 -0.2428127 1.4723173 1.6601181 -0.3761751
## FP049 FP050 FP051 FP052 FP053 FP054
## X1 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X2 -0.3725266 -0.3558707 2.8523090 -0.317157 -0.3211537 -0.2860509
## X3 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X4 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 3.4922050
## X5 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X6 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X7 2.6815493 -0.3558707 -0.3502245 -0.317157 3.1104998 -0.2860509
## X8 -0.3725266 2.8070547 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X9 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 3.4922050
## X10 -0.3725266 2.8070547 -0.3502245 3.149697 -0.3211537 3.4922050
## X11 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X12 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 3.4922050
## X13 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X14 2.6815493 -0.3558707 -0.3502245 -0.317157 3.1104998 -0.2860509
## X15 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X16 -0.3725266 -0.3558707 2.8523090 -0.317157 -0.3211537 -0.2860509
## X17 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X18 2.6815493 -0.3558707 2.8523090 -0.317157 3.1104998 -0.2860509
## X19 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 3.4922050
## X20 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X21 2.6815493 -0.3558707 -0.3502245 -0.317157 3.1104998 -0.2860509
## X22 -0.3725266 -0.3558707 2.8523090 -0.317157 -0.3211537 -0.2860509
## X23 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X24 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X25 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X26 -0.3725266 2.8070547 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X27 -0.3725266 -0.3558707 2.8523090 -0.317157 -0.3211537 -0.2860509
## X28 -0.3725266 -0.3558707 -0.3502245 3.149697 -0.3211537 -0.2860509
## X29 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X30 2.6815493 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X31 -0.3725266 2.8070547 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X32 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X33 -0.3725266 2.8070547 -0.3502245 -0.317157 -0.3211537 3.4922050
## X34 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X35 -0.3725266 -0.3558707 2.8523090 -0.317157 -0.3211537 -0.2860509
## X36 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X37 -0.3725266 2.8070547 -0.3502245 -0.317157 -0.3211537 3.4922050
## X38 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 3.4922050
## X39 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X40 -0.3725266 -0.3558707 -0.3502245 3.149697 -0.3211537 -0.2860509
## X41 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 3.4922050
## X42 2.6815493 -0.3558707 -0.3502245 3.149697 3.1104998 -0.2860509
## X43 2.6815493 -0.3558707 -0.3502245 -0.317157 3.1104998 -0.2860509
## X44 2.6815493 -0.3558707 2.8523090 -0.317157 3.1104998 -0.2860509
## X45 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X46 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X47 -0.3725266 2.8070547 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X48 -0.3725266 -0.3558707 2.8523090 -0.317157 -0.3211537 -0.2860509
## X49 2.6815493 -0.3558707 2.8523090 -0.317157 3.1104998 -0.2860509
## X50 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X51 2.6815493 -0.3558707 -0.3502245 -0.317157 3.1104998 -0.2860509
## X52 -0.3725266 2.8070547 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X53 2.6815493 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X54 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X55 2.6815493 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X56 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 3.4922050
## X57 -0.3725266 2.8070547 -0.3502245 3.149697 -0.3211537 -0.2860509
## X58 -0.3725266 -0.3558707 2.8523090 -0.317157 -0.3211537 -0.2860509
## X59 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X60 2.6815493 -0.3558707 2.8523090 -0.317157 3.1104998 -0.2860509
## X61 -0.3725266 2.8070547 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X62 -0.3725266 2.8070547 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X63 -0.3725266 -0.3558707 -0.3502245 -0.317157 3.1104998 -0.2860509
## X64 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X65 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X66 -0.3725266 2.8070547 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X67 2.6815493 -0.3558707 2.8523090 -0.317157 3.1104998 -0.2860509
## X68 -0.3725266 2.8070547 -0.3502245 -0.317157 -0.3211537 3.4922050
## X69 -0.3725266 2.8070547 -0.3502245 -0.317157 -0.3211537 3.4922050
## X70 -0.3725266 -0.3558707 2.8523090 -0.317157 -0.3211537 3.4922050
## X71 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X72 -0.3725266 2.8070547 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X73 -0.3725266 -0.3558707 2.8523090 -0.317157 -0.3211537 -0.2860509
## X74 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X75 2.6815493 -0.3558707 -0.3502245 -0.317157 3.1104998 -0.2860509
## X76 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 3.4922050
## X77 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X78 -0.3725266 -0.3558707 -0.3502245 3.149697 -0.3211537 -0.2860509
## X79 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X80 2.6815493 -0.3558707 -0.3502245 -0.317157 3.1104998 -0.2860509
## X81 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 3.4922050
## X82 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X83 2.6815493 -0.3558707 2.8523090 -0.317157 3.1104998 -0.2860509
## X84 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X85 2.6815493 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X86 -0.3725266 2.8070547 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X87 -0.3725266 2.8070547 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X88 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X89 2.6815493 2.8070547 2.8523090 -0.317157 3.1104998 -0.2860509
## X90 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X91 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 3.4922050
## X92 -0.3725266 -0.3558707 -0.3502245 3.149697 -0.3211537 -0.2860509
## X93 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X94 -0.3725266 2.8070547 -0.3502245 -0.317157 -0.3211537 3.4922050
## X95 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X96 -0.3725266 -0.3558707 2.8523090 -0.317157 -0.3211537 -0.2860509
## X97 -0.3725266 2.8070547 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X98 2.6815493 -0.3558707 -0.3502245 -0.317157 3.1104998 -0.2860509
## X99 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 3.4922050
## X100 2.6815493 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X101 2.6815493 -0.3558707 -0.3502245 -0.317157 3.1104998 -0.2860509
## X102 -0.3725266 -0.3558707 2.8523090 -0.317157 -0.3211537 -0.2860509
## X103 -0.3725266 2.8070547 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X104 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X105 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X106 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 3.4922050
## X107 -0.3725266 -0.3558707 2.8523090 -0.317157 -0.3211537 -0.2860509
## X108 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 3.4922050
## X109 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X110 -0.3725266 -0.3558707 2.8523090 -0.317157 -0.3211537 -0.2860509
## X111 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X112 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X113 -0.3725266 2.8070547 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X114 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X115 2.6815493 -0.3558707 -0.3502245 -0.317157 3.1104998 -0.2860509
## X116 2.6815493 -0.3558707 -0.3502245 3.149697 3.1104998 -0.2860509
## X117 -0.3725266 2.8070547 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X118 -0.3725266 -0.3558707 -0.3502245 -0.317157 3.1104998 -0.2860509
## X119 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X120 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X121 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X122 2.6815493 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X123 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X124 2.6815493 -0.3558707 -0.3502245 -0.317157 3.1104998 -0.2860509
## X125 2.6815493 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X126 2.6815493 -0.3558707 -0.3502245 -0.317157 3.1104998 -0.2860509
## X127 2.6815493 -0.3558707 -0.3502245 -0.317157 3.1104998 -0.2860509
## X128 2.6815493 -0.3558707 -0.3502245 -0.317157 3.1104998 -0.2860509
## X129 2.6815493 -0.3558707 -0.3502245 -0.317157 3.1104998 -0.2860509
## X130 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X131 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X132 2.6815493 -0.3558707 -0.3502245 -0.317157 3.1104998 -0.2860509
## X133 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X134 2.6815493 -0.3558707 -0.3502245 -0.317157 3.1104998 -0.2860509
## X135 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X136 2.6815493 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X137 2.6815493 -0.3558707 -0.3502245 -0.317157 3.1104998 -0.2860509
## X138 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 3.4922050
## X139 2.6815493 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X140 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X141 2.6815493 -0.3558707 -0.3502245 -0.317157 3.1104998 -0.2860509
## X142 2.6815493 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X143 2.6815493 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X144 2.6815493 -0.3558707 -0.3502245 -0.317157 3.1104998 -0.2860509
## X145 2.6815493 -0.3558707 -0.3502245 -0.317157 3.1104998 -0.2860509
## X146 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X147 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X148 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X149 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X150 2.6815493 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X151 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X152 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X153 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X154 2.6815493 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X155 -0.3725266 -0.3558707 -0.3502245 -0.317157 3.1104998 -0.2860509
## X156 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X157 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X158 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X159 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X160 -0.3725266 -0.3558707 2.8523090 -0.317157 -0.3211537 -0.2860509
## X161 -0.3725266 2.8070547 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X162 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 3.4922050
## X163 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X164 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 3.4922050
## X165 2.6815493 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X166 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X167 2.6815493 -0.3558707 -0.3502245 -0.317157 3.1104998 -0.2860509
## X168 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X169 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X170 -0.3725266 -0.3558707 2.8523090 -0.317157 -0.3211537 -0.2860509
## X171 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 3.4922050
## X172 -0.3725266 2.8070547 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X173 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X174 -0.3725266 -0.3558707 -0.3502245 3.149697 -0.3211537 -0.2860509
## X175 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X176 -0.3725266 -0.3558707 2.8523090 -0.317157 -0.3211537 -0.2860509
## X177 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 3.4922050
## X178 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X179 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 3.4922050
## X180 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 3.4922050
## X181 -0.3725266 -0.3558707 2.8523090 -0.317157 -0.3211537 -0.2860509
## X182 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 3.4922050
## X183 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X184 2.6815493 -0.3558707 -0.3502245 -0.317157 3.1104998 -0.2860509
## X185 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X186 2.6815493 -0.3558707 -0.3502245 -0.317157 3.1104998 -0.2860509
## X187 -0.3725266 2.8070547 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X188 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X189 -0.3725266 -0.3558707 2.8523090 -0.317157 -0.3211537 -0.2860509
## X190 -0.3725266 -0.3558707 2.8523090 -0.317157 -0.3211537 -0.2860509
## X191 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 3.4922050
## X192 -0.3725266 -0.3558707 2.8523090 -0.317157 -0.3211537 -0.2860509
## X193 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X194 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 3.4922050
## X195 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X196 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 3.4922050
## X197 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X198 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X199 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X200 2.6815493 -0.3558707 -0.3502245 -0.317157 3.1104998 -0.2860509
## X201 -0.3725266 2.8070547 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X202 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X203 -0.3725266 -0.3558707 2.8523090 -0.317157 -0.3211537 -0.2860509
## X204 -0.3725266 -0.3558707 2.8523090 -0.317157 -0.3211537 -0.2860509
## X205 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X206 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X207 2.6815493 -0.3558707 2.8523090 -0.317157 3.1104998 -0.2860509
## X208 2.6815493 -0.3558707 -0.3502245 -0.317157 3.1104998 -0.2860509
## X209 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X210 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X211 2.6815493 -0.3558707 -0.3502245 -0.317157 3.1104998 -0.2860509
## X212 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X213 2.6815493 -0.3558707 -0.3502245 -0.317157 3.1104998 -0.2860509
## X214 -0.3725266 -0.3558707 2.8523090 -0.317157 -0.3211537 -0.2860509
## X215 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X216 2.6815493 -0.3558707 -0.3502245 -0.317157 3.1104998 -0.2860509
## X217 2.6815493 -0.3558707 -0.3502245 -0.317157 3.1104998 -0.2860509
## X218 -0.3725266 -0.3558707 2.8523090 -0.317157 -0.3211537 -0.2860509
## X219 -0.3725266 2.8070547 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X220 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X221 -0.3725266 2.8070547 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X222 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X223 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X224 2.6815493 -0.3558707 -0.3502245 -0.317157 3.1104998 -0.2860509
## X225 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X226 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X227 2.6815493 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X228 2.6815493 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X229 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X230 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X231 2.6815493 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X232 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X233 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X234 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 3.4922050
## X235 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X236 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X237 2.6815493 -0.3558707 -0.3502245 -0.317157 3.1104998 -0.2860509
## X238 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X239 2.6815493 -0.3558707 2.8523090 -0.317157 3.1104998 -0.2860509
## X240 2.6815493 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X241 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X242 2.6815493 -0.3558707 -0.3502245 -0.317157 3.1104998 -0.2860509
## X243 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X244 -0.3725266 -0.3558707 -0.3502245 3.149697 -0.3211537 -0.2860509
## X245 2.6815493 -0.3558707 2.8523090 -0.317157 3.1104998 -0.2860509
## X246 -0.3725266 -0.3558707 -0.3502245 3.149697 -0.3211537 -0.2860509
## X247 -0.3725266 -0.3558707 -0.3502245 3.149697 -0.3211537 -0.2860509
## X248 -0.3725266 2.8070547 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X249 -0.3725266 2.8070547 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X250 2.6815493 -0.3558707 -0.3502245 -0.317157 3.1104998 -0.2860509
## X251 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X252 -0.3725266 -0.3558707 2.8523090 -0.317157 -0.3211537 -0.2860509
## X253 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X254 -0.3725266 -0.3558707 2.8523090 -0.317157 -0.3211537 3.4922050
## X255 2.6815493 -0.3558707 2.8523090 -0.317157 -0.3211537 -0.2860509
## X256 -0.3725266 2.8070547 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X257 -0.3725266 -0.3558707 -0.3502245 3.149697 -0.3211537 -0.2860509
## X258 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X259 -0.3725266 2.8070547 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X260 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X261 -0.3725266 -0.3558707 -0.3502245 3.149697 -0.3211537 -0.2860509
## X262 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X263 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X264 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X265 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X266 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X267 -0.3725266 -0.3558707 -0.3502245 3.149697 -0.3211537 -0.2860509
## X268 -0.3725266 2.8070547 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X269 -0.3725266 -0.3558707 2.8523090 -0.317157 -0.3211537 -0.2860509
## X270 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X271 2.6815493 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X272 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X273 -0.3725266 2.8070547 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X274 -0.3725266 2.8070547 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X275 -0.3725266 2.8070547 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X276 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X277 -0.3725266 -0.3558707 2.8523090 -0.317157 -0.3211537 -0.2860509
## X278 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X279 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X280 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X281 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X282 2.6815493 -0.3558707 2.8523090 -0.317157 -0.3211537 -0.2860509
## X283 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X284 -0.3725266 -0.3558707 2.8523090 -0.317157 -0.3211537 -0.2860509
## X285 2.6815493 -0.3558707 -0.3502245 3.149697 3.1104998 -0.2860509
## X286 -0.3725266 -0.3558707 -0.3502245 3.149697 -0.3211537 -0.2860509
## X287 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X288 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X289 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X290 -0.3725266 -0.3558707 2.8523090 -0.317157 -0.3211537 -0.2860509
## X291 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X292 -0.3725266 -0.3558707 -0.3502245 3.149697 -0.3211537 -0.2860509
## X293 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X294 -0.3725266 -0.3558707 2.8523090 -0.317157 -0.3211537 -0.2860509
## X295 -0.3725266 -0.3558707 2.8523090 3.149697 -0.3211537 -0.2860509
## X296 -0.3725266 -0.3558707 -0.3502245 3.149697 -0.3211537 -0.2860509
## X297 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X298 2.6815493 -0.3558707 -0.3502245 3.149697 -0.3211537 -0.2860509
## X299 -0.3725266 2.8070547 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X300 -0.3725266 2.8070547 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X301 -0.3725266 -0.3558707 2.8523090 -0.317157 -0.3211537 -0.2860509
## X302 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X303 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X304 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X305 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X306 2.6815493 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X307 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X308 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X309 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X310 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 3.4922050
## X311 -0.3725266 2.8070547 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X312 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X313 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X314 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X315 -0.3725266 -0.3558707 2.8523090 -0.317157 -0.3211537 -0.2860509
## X316 2.6815493 -0.3558707 -0.3502245 -0.317157 3.1104998 -0.2860509
## X317 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X318 -0.3725266 -0.3558707 2.8523090 -0.317157 -0.3211537 -0.2860509
## X319 -0.3725266 -0.3558707 -0.3502245 3.149697 -0.3211537 -0.2860509
## X320 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X321 -0.3725266 -0.3558707 2.8523090 -0.317157 -0.3211537 -0.2860509
## X322 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X323 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X324 -0.3725266 2.8070547 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X325 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X326 2.6815493 -0.3558707 -0.3502245 -0.317157 3.1104998 -0.2860509
## X327 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X328 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X329 -0.3725266 2.8070547 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X330 2.6815493 -0.3558707 -0.3502245 3.149697 -0.3211537 -0.2860509
## X331 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X332 2.6815493 -0.3558707 -0.3502245 3.149697 3.1104998 -0.2860509
## X333 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X334 -0.3725266 -0.3558707 -0.3502245 -0.317157 3.1104998 -0.2860509
## X335 -0.3725266 2.8070547 -0.3502245 3.149697 -0.3211537 -0.2860509
## X336 -0.3725266 2.8070547 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X337 -0.3725266 -0.3558707 -0.3502245 3.149697 -0.3211537 -0.2860509
## X338 -0.3725266 -0.3558707 2.8523090 -0.317157 -0.3211537 -0.2860509
## X339 -0.3725266 -0.3558707 -0.3502245 3.149697 -0.3211537 -0.2860509
## X340 -0.3725266 -0.3558707 -0.3502245 -0.317157 3.1104998 -0.2860509
## X341 -0.3725266 2.8070547 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X342 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X343 -0.3725266 -0.3558707 2.8523090 -0.317157 -0.3211537 -0.2860509
## X344 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X345 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X346 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 3.4922050
## X347 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 3.4922050
## X348 -0.3725266 -0.3558707 2.8523090 -0.317157 -0.3211537 -0.2860509
## X349 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X350 2.6815493 -0.3558707 -0.3502245 -0.317157 3.1104998 -0.2860509
## X351 -0.3725266 2.8070547 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X352 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X353 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X354 -0.3725266 -0.3558707 2.8523090 -0.317157 -0.3211537 -0.2860509
## X355 -0.3725266 2.8070547 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X356 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X357 -0.3725266 -0.3558707 2.8523090 -0.317157 -0.3211537 -0.2860509
## X358 -0.3725266 2.8070547 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X359 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 3.4922050
## X360 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 3.4922050
## X361 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X362 2.6815493 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X363 -0.3725266 -0.3558707 -0.3502245 3.149697 -0.3211537 -0.2860509
## X364 -0.3725266 2.8070547 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X365 2.6815493 -0.3558707 -0.3502245 3.149697 -0.3211537 -0.2860509
## X366 2.6815493 -0.3558707 -0.3502245 -0.317157 3.1104998 -0.2860509
## X367 2.6815493 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X368 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X369 -0.3725266 -0.3558707 2.8523090 -0.317157 -0.3211537 -0.2860509
## X370 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X371 2.6815493 -0.3558707 -0.3502245 -0.317157 3.1104998 -0.2860509
## X372 -0.3725266 -0.3558707 -0.3502245 3.149697 -0.3211537 -0.2860509
## X373 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X374 2.6815493 -0.3558707 -0.3502245 3.149697 3.1104998 -0.2860509
## X375 2.6815493 -0.3558707 2.8523090 -0.317157 3.1104998 -0.2860509
## X376 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 3.4922050
## X377 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 3.4922050
## X378 -0.3725266 -0.3558707 2.8523090 -0.317157 -0.3211537 -0.2860509
## X379 -0.3725266 2.8070547 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X380 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X381 2.6815493 -0.3558707 2.8523090 -0.317157 3.1104998 -0.2860509
## X382 -0.3725266 2.8070547 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X383 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 3.4922050
## X384 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 3.4922050
## X385 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X386 -0.3725266 -0.3558707 -0.3502245 3.149697 -0.3211537 -0.2860509
## X387 -0.3725266 2.8070547 2.8523090 -0.317157 -0.3211537 3.4922050
## X388 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X389 -0.3725266 -0.3558707 2.8523090 -0.317157 -0.3211537 -0.2860509
## X390 -0.3725266 2.8070547 2.8523090 -0.317157 -0.3211537 3.4922050
## X391 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 3.4922050
## X392 -0.3725266 -0.3558707 2.8523090 -0.317157 -0.3211537 -0.2860509
## X393 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X394 2.6815493 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X395 -0.3725266 2.8070547 -0.3502245 3.149697 -0.3211537 -0.2860509
## X396 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X397 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X398 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 3.4922050
## X399 2.6815493 -0.3558707 -0.3502245 -0.317157 3.1104998 -0.2860509
## X400 2.6815493 -0.3558707 -0.3502245 3.149697 3.1104998 -0.2860509
## X401 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X402 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X403 -0.3725266 2.8070547 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X404 -0.3725266 2.8070547 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X405 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X406 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X407 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X408 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X409 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 3.4922050
## X410 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X411 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X412 -0.3725266 -0.3558707 -0.3502245 3.149697 -0.3211537 -0.2860509
## X413 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X414 -0.3725266 2.8070547 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X415 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X416 2.6815493 -0.3558707 -0.3502245 -0.317157 3.1104998 -0.2860509
## X417 -0.3725266 -0.3558707 -0.3502245 3.149697 -0.3211537 -0.2860509
## X418 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X419 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X420 2.6815493 -0.3558707 2.8523090 -0.317157 3.1104998 -0.2860509
## X421 -0.3725266 -0.3558707 -0.3502245 3.149697 -0.3211537 -0.2860509
## X422 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X423 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 3.4922050
## X424 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X425 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 3.4922050
## X426 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X427 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X428 2.6815493 -0.3558707 -0.3502245 -0.317157 3.1104998 -0.2860509
## X429 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X430 2.6815493 -0.3558707 -0.3502245 3.149697 3.1104998 -0.2860509
## X431 2.6815493 -0.3558707 -0.3502245 -0.317157 3.1104998 -0.2860509
## X432 2.6815493 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X433 -0.3725266 2.8070547 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X434 -0.3725266 -0.3558707 2.8523090 -0.317157 -0.3211537 -0.2860509
## X435 -0.3725266 2.8070547 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X436 2.6815493 -0.3558707 -0.3502245 -0.317157 3.1104998 -0.2860509
## X437 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X438 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 3.4922050
## X439 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X440 2.6815493 -0.3558707 -0.3502245 -0.317157 3.1104998 -0.2860509
## X441 -0.3725266 -0.3558707 2.8523090 -0.317157 -0.3211537 3.4922050
## X442 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X443 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X444 -0.3725266 2.8070547 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X445 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X446 2.6815493 -0.3558707 -0.3502245 3.149697 3.1104998 -0.2860509
## X447 -0.3725266 2.8070547 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X448 -0.3725266 2.8070547 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X449 -0.3725266 2.8070547 2.8523090 -0.317157 -0.3211537 -0.2860509
## X450 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X451 -0.3725266 2.8070547 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X452 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X453 -0.3725266 -0.3558707 -0.3502245 -0.317157 -0.3211537 -0.2860509
## X454 -0.3725266 -0.3558707 2.8523090 -0.317157 -0.3211537 -0.2860509
## FP055 FP056 FP057 FP058 FP059 FP060
## X1 -0.2379224 3.7846575 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X2 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X3 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X4 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X5 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X6 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X7 -0.2379224 -0.2639469 2.7082069 -0.3577418 -0.2403773 -0.9633427
## X8 -0.2379224 -0.2639469 -0.3688597 -0.3577418 4.1557529 1.0369606
## X9 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X10 -0.2379224 -0.2639469 -0.3688597 2.7923732 -0.2403773 -0.9633427
## X11 -0.2379224 -0.2639469 2.7082069 -0.3577418 -0.2403773 -0.9633427
## X12 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X13 -0.2379224 3.7846575 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X14 -0.2379224 3.7846575 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X15 -0.2379224 -0.2639469 2.7082069 2.7923732 -0.2403773 -0.9633427
## X16 -0.2379224 3.7846575 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X17 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X18 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X19 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X20 -0.2379224 3.7846575 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X21 -0.2379224 -0.2639469 2.7082069 -0.3577418 -0.2403773 1.0369606
## X22 -0.2379224 -0.2639469 2.7082069 -0.3577418 -0.2403773 -0.9633427
## X23 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X24 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X25 -0.2379224 -0.2639469 2.7082069 2.7923732 -0.2403773 1.0369606
## X26 -0.2379224 -0.2639469 -0.3688597 -0.3577418 4.1557529 -0.9633427
## X27 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X28 -0.2379224 3.7846575 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X29 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X30 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X31 -0.2379224 -0.2639469 -0.3688597 -0.3577418 4.1557529 -0.9633427
## X32 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X33 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X34 -0.2379224 3.7846575 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X35 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X36 -0.2379224 -0.2639469 -0.3688597 2.7923732 -0.2403773 -0.9633427
## X37 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X38 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X39 4.1986310 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X40 -0.2379224 -0.2639469 2.7082069 -0.3577418 -0.2403773 1.0369606
## X41 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X42 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X43 -0.2379224 3.7846575 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X44 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X45 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X46 -0.2379224 -0.2639469 2.7082069 2.7923732 -0.2403773 -0.9633427
## X47 -0.2379224 -0.2639469 -0.3688597 -0.3577418 4.1557529 -0.9633427
## X48 -0.2379224 -0.2639469 -0.3688597 2.7923732 -0.2403773 -0.9633427
## X49 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X50 -0.2379224 -0.2639469 -0.3688597 2.7923732 -0.2403773 1.0369606
## X51 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X52 -0.2379224 -0.2639469 -0.3688597 -0.3577418 4.1557529 -0.9633427
## X53 -0.2379224 -0.2639469 -0.3688597 2.7923732 -0.2403773 -0.9633427
## X54 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X55 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X56 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X57 -0.2379224 -0.2639469 -0.3688597 -0.3577418 4.1557529 1.0369606
## X58 -0.2379224 3.7846575 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X59 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X60 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X61 -0.2379224 -0.2639469 -0.3688597 -0.3577418 4.1557529 1.0369606
## X62 -0.2379224 -0.2639469 -0.3688597 -0.3577418 4.1557529 1.0369606
## X63 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X64 -0.2379224 3.7846575 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X65 -0.2379224 -0.2639469 2.7082069 -0.3577418 -0.2403773 1.0369606
## X66 -0.2379224 -0.2639469 -0.3688597 -0.3577418 4.1557529 1.0369606
## X67 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X68 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X69 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X70 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X71 -0.2379224 3.7846575 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X72 -0.2379224 -0.2639469 -0.3688597 -0.3577418 4.1557529 -0.9633427
## X73 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X74 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X75 -0.2379224 -0.2639469 -0.3688597 2.7923732 -0.2403773 -0.9633427
## X76 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X77 -0.2379224 -0.2639469 2.7082069 -0.3577418 -0.2403773 -0.9633427
## X78 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X79 -0.2379224 3.7846575 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X80 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X81 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X82 -0.2379224 3.7846575 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X83 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X84 -0.2379224 -0.2639469 2.7082069 -0.3577418 -0.2403773 -0.9633427
## X85 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X86 -0.2379224 -0.2639469 -0.3688597 -0.3577418 4.1557529 -0.9633427
## X87 -0.2379224 -0.2639469 -0.3688597 -0.3577418 4.1557529 -0.9633427
## X88 -0.2379224 -0.2639469 -0.3688597 2.7923732 -0.2403773 1.0369606
## X89 -0.2379224 -0.2639469 -0.3688597 -0.3577418 4.1557529 1.0369606
## X90 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X91 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X92 -0.2379224 3.7846575 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X93 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X94 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X95 -0.2379224 -0.2639469 2.7082069 -0.3577418 -0.2403773 -0.9633427
## X96 4.1986310 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X97 -0.2379224 -0.2639469 -0.3688597 -0.3577418 4.1557529 -0.9633427
## X98 -0.2379224 -0.2639469 -0.3688597 2.7923732 -0.2403773 -0.9633427
## X99 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X100 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X101 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X102 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X103 -0.2379224 -0.2639469 -0.3688597 -0.3577418 4.1557529 1.0369606
## X104 -0.2379224 3.7846575 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X105 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X106 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X107 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X108 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X109 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X110 -0.2379224 -0.2639469 2.7082069 2.7923732 -0.2403773 1.0369606
## X111 -0.2379224 -0.2639469 2.7082069 2.7923732 -0.2403773 1.0369606
## X112 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X113 -0.2379224 -0.2639469 -0.3688597 -0.3577418 4.1557529 1.0369606
## X114 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X115 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X116 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X117 -0.2379224 -0.2639469 -0.3688597 -0.3577418 4.1557529 1.0369606
## X118 -0.2379224 -0.2639469 -0.3688597 2.7923732 -0.2403773 -0.9633427
## X119 -0.2379224 3.7846575 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X120 -0.2379224 3.7846575 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X121 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X122 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X123 -0.2379224 -0.2639469 2.7082069 -0.3577418 -0.2403773 1.0369606
## X124 -0.2379224 -0.2639469 2.7082069 -0.3577418 -0.2403773 -0.9633427
## X125 -0.2379224 -0.2639469 -0.3688597 2.7923732 -0.2403773 -0.9633427
## X126 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X127 -0.2379224 -0.2639469 2.7082069 -0.3577418 -0.2403773 -0.9633427
## X128 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X129 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X130 -0.2379224 3.7846575 2.7082069 -0.3577418 -0.2403773 -0.9633427
## X131 -0.2379224 3.7846575 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X132 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X133 -0.2379224 3.7846575 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X134 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X135 -0.2379224 -0.2639469 -0.3688597 2.7923732 -0.2403773 -0.9633427
## X136 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X137 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X138 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X139 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X140 -0.2379224 3.7846575 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X141 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X142 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X143 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X144 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X145 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X146 -0.2379224 -0.2639469 -0.3688597 2.7923732 -0.2403773 -0.9633427
## X147 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X148 -0.2379224 3.7846575 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X149 -0.2379224 3.7846575 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X150 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X151 -0.2379224 3.7846575 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X152 -0.2379224 -0.2639469 2.7082069 2.7923732 -0.2403773 -0.9633427
## X153 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X154 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X155 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X156 -0.2379224 3.7846575 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X157 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X158 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X159 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X160 -0.2379224 -0.2639469 -0.3688597 2.7923732 -0.2403773 1.0369606
## X161 -0.2379224 -0.2639469 -0.3688597 -0.3577418 4.1557529 -0.9633427
## X162 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X163 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X164 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X165 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X166 -0.2379224 -0.2639469 2.7082069 2.7923732 -0.2403773 -0.9633427
## X167 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X168 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X169 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X170 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X171 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X172 -0.2379224 -0.2639469 -0.3688597 -0.3577418 4.1557529 -0.9633427
## X173 -0.2379224 -0.2639469 2.7082069 -0.3577418 -0.2403773 1.0369606
## X174 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X175 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X176 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X177 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X178 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X179 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X180 4.1986310 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X181 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X182 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X183 -0.2379224 3.7846575 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X184 -0.2379224 -0.2639469 2.7082069 -0.3577418 -0.2403773 1.0369606
## X185 4.1986310 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X186 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X187 -0.2379224 -0.2639469 -0.3688597 -0.3577418 4.1557529 -0.9633427
## X188 -0.2379224 -0.2639469 2.7082069 -0.3577418 -0.2403773 -0.9633427
## X189 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X190 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X191 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X192 -0.2379224 -0.2639469 2.7082069 2.7923732 -0.2403773 1.0369606
## X193 -0.2379224 -0.2639469 2.7082069 2.7923732 -0.2403773 -0.9633427
## X194 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X195 -0.2379224 3.7846575 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X196 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X197 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X198 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X199 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X200 -0.2379224 -0.2639469 -0.3688597 2.7923732 -0.2403773 -0.9633427
## X201 -0.2379224 -0.2639469 2.7082069 2.7923732 -0.2403773 -0.9633427
## X202 4.1986310 3.7846575 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X203 -0.2379224 -0.2639469 -0.3688597 2.7923732 -0.2403773 1.0369606
## X204 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X205 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X206 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X207 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X208 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X209 -0.2379224 3.7846575 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X210 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X211 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X212 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X213 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X214 -0.2379224 -0.2639469 -0.3688597 2.7923732 -0.2403773 1.0369606
## X215 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X216 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X217 -0.2379224 -0.2639469 2.7082069 -0.3577418 -0.2403773 -0.9633427
## X218 4.1986310 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X219 -0.2379224 -0.2639469 -0.3688597 -0.3577418 4.1557529 1.0369606
## X220 -0.2379224 -0.2639469 -0.3688597 2.7923732 -0.2403773 -0.9633427
## X221 -0.2379224 -0.2639469 -0.3688597 -0.3577418 4.1557529 1.0369606
## X222 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X223 -0.2379224 3.7846575 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X224 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X225 -0.2379224 3.7846575 2.7082069 -0.3577418 -0.2403773 -0.9633427
## X226 -0.2379224 3.7846575 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X227 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X228 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X229 -0.2379224 3.7846575 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X230 -0.2379224 3.7846575 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X231 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X232 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X233 -0.2379224 -0.2639469 2.7082069 2.7923732 -0.2403773 -0.9633427
## X234 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X235 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X236 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X237 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X238 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X239 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X240 4.1986310 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X241 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X242 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X243 4.1986310 3.7846575 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X244 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X245 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X246 -0.2379224 -0.2639469 -0.3688597 2.7923732 -0.2403773 1.0369606
## X247 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X248 -0.2379224 -0.2639469 -0.3688597 -0.3577418 4.1557529 -0.9633427
## X249 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X250 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X251 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X252 -0.2379224 -0.2639469 2.7082069 2.7923732 -0.2403773 -0.9633427
## X253 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X254 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X255 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X256 -0.2379224 -0.2639469 -0.3688597 -0.3577418 4.1557529 1.0369606
## X257 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X258 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X259 -0.2379224 -0.2639469 -0.3688597 -0.3577418 4.1557529 -0.9633427
## X260 -0.2379224 3.7846575 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X261 -0.2379224 -0.2639469 2.7082069 -0.3577418 -0.2403773 -0.9633427
## X262 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X263 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X264 -0.2379224 3.7846575 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X265 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X266 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X267 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X268 -0.2379224 -0.2639469 -0.3688597 -0.3577418 4.1557529 1.0369606
## X269 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X270 4.1986310 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X271 -0.2379224 -0.2639469 2.7082069 -0.3577418 -0.2403773 1.0369606
## X272 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X273 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X274 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X275 -0.2379224 -0.2639469 -0.3688597 -0.3577418 4.1557529 1.0369606
## X276 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X277 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X278 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X279 -0.2379224 3.7846575 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X280 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X281 -0.2379224 -0.2639469 2.7082069 -0.3577418 -0.2403773 -0.9633427
## X282 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X283 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X284 -0.2379224 -0.2639469 2.7082069 -0.3577418 -0.2403773 1.0369606
## X285 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X286 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X287 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X288 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X289 4.1986310 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X290 -0.2379224 -0.2639469 -0.3688597 2.7923732 -0.2403773 -0.9633427
## X291 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X292 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X293 4.1986310 3.7846575 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X294 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X295 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X296 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X297 -0.2379224 -0.2639469 2.7082069 2.7923732 -0.2403773 1.0369606
## X298 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X299 -0.2379224 -0.2639469 -0.3688597 -0.3577418 4.1557529 -0.9633427
## X300 -0.2379224 -0.2639469 -0.3688597 -0.3577418 4.1557529 1.0369606
## X301 -0.2379224 -0.2639469 -0.3688597 2.7923732 -0.2403773 -0.9633427
## X302 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X303 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X304 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X305 -0.2379224 -0.2639469 2.7082069 2.7923732 -0.2403773 -0.9633427
## X306 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X307 -0.2379224 3.7846575 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X308 4.1986310 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X309 -0.2379224 3.7846575 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X310 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X311 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X312 4.1986310 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X313 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X314 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X315 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X316 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X317 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X318 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X319 -0.2379224 -0.2639469 -0.3688597 2.7923732 -0.2403773 1.0369606
## X320 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X321 4.1986310 -0.2639469 2.7082069 2.7923732 -0.2403773 1.0369606
## X322 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X323 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X324 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X325 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X326 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X327 -0.2379224 -0.2639469 2.7082069 -0.3577418 -0.2403773 -0.9633427
## X328 -0.2379224 -0.2639469 2.7082069 2.7923732 -0.2403773 1.0369606
## X329 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X330 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X331 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X332 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X333 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X334 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X335 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X336 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X337 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X338 -0.2379224 3.7846575 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X339 -0.2379224 -0.2639469 -0.3688597 2.7923732 -0.2403773 -0.9633427
## X340 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X341 -0.2379224 -0.2639469 -0.3688597 -0.3577418 4.1557529 -0.9633427
## X342 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X343 -0.2379224 -0.2639469 2.7082069 -0.3577418 -0.2403773 1.0369606
## X344 -0.2379224 -0.2639469 2.7082069 -0.3577418 -0.2403773 1.0369606
## X345 -0.2379224 3.7846575 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X346 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X347 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X348 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X349 -0.2379224 -0.2639469 2.7082069 2.7923732 -0.2403773 -0.9633427
## X350 -0.2379224 -0.2639469 2.7082069 -0.3577418 -0.2403773 1.0369606
## X351 -0.2379224 -0.2639469 -0.3688597 -0.3577418 4.1557529 1.0369606
## X352 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X353 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X354 -0.2379224 -0.2639469 2.7082069 -0.3577418 -0.2403773 1.0369606
## X355 -0.2379224 -0.2639469 -0.3688597 -0.3577418 4.1557529 1.0369606
## X356 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X357 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X358 -0.2379224 -0.2639469 -0.3688597 -0.3577418 4.1557529 1.0369606
## X359 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X360 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X361 -0.2379224 -0.2639469 2.7082069 2.7923732 -0.2403773 1.0369606
## X362 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X363 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X364 -0.2379224 -0.2639469 -0.3688597 -0.3577418 4.1557529 -0.9633427
## X365 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X366 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X367 -0.2379224 -0.2639469 2.7082069 -0.3577418 -0.2403773 -0.9633427
## X368 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X369 -0.2379224 3.7846575 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X370 -0.2379224 -0.2639469 2.7082069 2.7923732 -0.2403773 -0.9633427
## X371 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X372 4.1986310 -0.2639469 2.7082069 2.7923732 -0.2403773 1.0369606
## X373 -0.2379224 3.7846575 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X374 -0.2379224 -0.2639469 2.7082069 -0.3577418 -0.2403773 1.0369606
## X375 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X376 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X377 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X378 -0.2379224 -0.2639469 2.7082069 -0.3577418 -0.2403773 -0.9633427
## X379 -0.2379224 -0.2639469 -0.3688597 -0.3577418 4.1557529 -0.9633427
## X380 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X381 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X382 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X383 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X384 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X385 -0.2379224 -0.2639469 2.7082069 2.7923732 -0.2403773 1.0369606
## X386 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X387 4.1986310 -0.2639469 -0.3688597 2.7923732 -0.2403773 1.0369606
## X388 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X389 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X390 -0.2379224 -0.2639469 -0.3688597 2.7923732 -0.2403773 -0.9633427
## X391 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X392 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X393 -0.2379224 -0.2639469 2.7082069 2.7923732 -0.2403773 -0.9633427
## X394 -0.2379224 3.7846575 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X395 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X396 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X397 -0.2379224 -0.2639469 2.7082069 2.7923732 -0.2403773 1.0369606
## X398 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X399 -0.2379224 -0.2639469 -0.3688597 2.7923732 -0.2403773 -0.9633427
## X400 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X401 -0.2379224 3.7846575 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X402 4.1986310 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X403 4.1986310 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X404 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X405 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X406 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X407 -0.2379224 -0.2639469 2.7082069 -0.3577418 -0.2403773 -0.9633427
## X408 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X409 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X410 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X411 4.1986310 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X412 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X413 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X414 -0.2379224 -0.2639469 -0.3688597 -0.3577418 4.1557529 -0.9633427
## X415 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X416 -0.2379224 -0.2639469 -0.3688597 2.7923732 -0.2403773 -0.9633427
## X417 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X418 4.1986310 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X419 -0.2379224 -0.2639469 2.7082069 2.7923732 -0.2403773 1.0369606
## X420 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X421 -0.2379224 -0.2639469 2.7082069 -0.3577418 -0.2403773 1.0369606
## X422 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X423 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X424 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X425 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X426 -0.2379224 -0.2639469 2.7082069 -0.3577418 -0.2403773 -0.9633427
## X427 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X428 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X429 -0.2379224 -0.2639469 2.7082069 -0.3577418 -0.2403773 -0.9633427
## X430 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X431 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X432 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X433 -0.2379224 -0.2639469 -0.3688597 -0.3577418 4.1557529 -0.9633427
## X434 -0.2379224 -0.2639469 -0.3688597 2.7923732 -0.2403773 -0.9633427
## X435 -0.2379224 -0.2639469 -0.3688597 -0.3577418 4.1557529 -0.9633427
## X436 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X437 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X438 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X439 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X440 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X441 -0.2379224 -0.2639469 -0.3688597 2.7923732 -0.2403773 -0.9633427
## X442 4.1986310 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X443 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X444 -0.2379224 -0.2639469 -0.3688597 -0.3577418 4.1557529 1.0369606
## X445 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X446 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X447 -0.2379224 -0.2639469 -0.3688597 -0.3577418 4.1557529 1.0369606
## X448 -0.2379224 -0.2639469 -0.3688597 -0.3577418 4.1557529 -0.9633427
## X449 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X450 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 -0.9633427
## X451 -0.2379224 -0.2639469 -0.3688597 -0.3577418 4.1557529 1.0369606
## X452 4.1986310 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X453 -0.2379224 -0.2639469 -0.3688597 -0.3577418 -0.2403773 1.0369606
## X454 -0.2379224 -0.2639469 2.7082069 -0.3577418 -0.2403773 1.0369606
## FP061 FP062 FP063 FP064 FP065 FP066
## X1 -0.898407 -0.8813356 1.1604872 -0.8442531 0.8279183 0.7993638
## X2 -0.898407 -0.8813356 1.1604872 1.1832335 0.8279183 -1.2496793
## X3 1.111911 1.1334484 -0.8608009 1.1832335 -1.2065786 0.7993638
## X4 -0.898407 -0.8813356 -0.8608009 -0.8442531 -1.2065786 0.7993638
## X5 -0.898407 -0.8813356 1.1604872 1.1832335 0.8279183 0.7993638
## X6 -0.898407 1.1334484 1.1604872 1.1832335 -1.2065786 0.7993638
## X7 -0.898407 -0.8813356 1.1604872 -0.8442531 0.8279183 0.7993638
## X8 1.111911 1.1334484 -0.8608009 1.1832335 -1.2065786 0.7993638
## X9 1.111911 1.1334484 -0.8608009 -0.8442531 0.8279183 0.7993638
## X10 -0.898407 1.1334484 1.1604872 -0.8442531 0.8279183 0.7993638
## X11 1.111911 1.1334484 -0.8608009 -0.8442531 0.8279183 0.7993638
## X12 1.111911 1.1334484 -0.8608009 -0.8442531 0.8279183 0.7993638
## X13 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 0.7993638
## X14 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X15 -0.898407 -0.8813356 -0.8608009 1.1832335 -1.2065786 0.7993638
## X16 1.111911 1.1334484 -0.8608009 -0.8442531 0.8279183 0.7993638
## X17 1.111911 -0.8813356 1.1604872 1.1832335 0.8279183 0.7993638
## X18 -0.898407 -0.8813356 1.1604872 1.1832335 0.8279183 -1.2496793
## X19 1.111911 1.1334484 -0.8608009 -0.8442531 0.8279183 0.7993638
## X20 -0.898407 -0.8813356 -0.8608009 1.1832335 0.8279183 0.7993638
## X21 1.111911 1.1334484 -0.8608009 -0.8442531 0.8279183 0.7993638
## X22 -0.898407 -0.8813356 1.1604872 1.1832335 0.8279183 0.7993638
## X23 1.111911 1.1334484 1.1604872 1.1832335 0.8279183 0.7993638
## X24 1.111911 1.1334484 1.1604872 -0.8442531 0.8279183 -1.2496793
## X25 1.111911 -0.8813356 1.1604872 1.1832335 0.8279183 0.7993638
## X26 1.111911 1.1334484 1.1604872 -0.8442531 0.8279183 0.7993638
## X27 -0.898407 -0.8813356 1.1604872 1.1832335 0.8279183 0.7993638
## X28 -0.898407 -0.8813356 1.1604872 -0.8442531 0.8279183 -1.2496793
## X29 1.111911 1.1334484 1.1604872 -0.8442531 0.8279183 0.7993638
## X30 -0.898407 -0.8813356 1.1604872 -0.8442531 0.8279183 -1.2496793
## X31 -0.898407 -0.8813356 -0.8608009 1.1832335 -1.2065786 0.7993638
## X32 -0.898407 -0.8813356 -0.8608009 1.1832335 -1.2065786 0.7993638
## X33 -0.898407 -0.8813356 -0.8608009 -0.8442531 -1.2065786 0.7993638
## X34 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 0.7993638
## X35 1.111911 1.1334484 -0.8608009 1.1832335 0.8279183 0.7993638
## X36 -0.898407 -0.8813356 -0.8608009 -0.8442531 -1.2065786 -1.2496793
## X37 -0.898407 -0.8813356 -0.8608009 -0.8442531 -1.2065786 0.7993638
## X38 1.111911 1.1334484 -0.8608009 1.1832335 0.8279183 0.7993638
## X39 1.111911 -0.8813356 -0.8608009 1.1832335 0.8279183 0.7993638
## X40 1.111911 1.1334484 1.1604872 -0.8442531 0.8279183 -1.2496793
## X41 1.111911 1.1334484 -0.8608009 1.1832335 0.8279183 0.7993638
## X42 1.111911 1.1334484 1.1604872 1.1832335 0.8279183 -1.2496793
## X43 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X44 -0.898407 -0.8813356 1.1604872 1.1832335 0.8279183 0.7993638
## X45 -0.898407 -0.8813356 1.1604872 -0.8442531 0.8279183 0.7993638
## X46 -0.898407 1.1334484 1.1604872 -0.8442531 -1.2065786 0.7993638
## X47 -0.898407 -0.8813356 -0.8608009 1.1832335 -1.2065786 0.7993638
## X48 -0.898407 -0.8813356 1.1604872 -0.8442531 0.8279183 -1.2496793
## X49 1.111911 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X50 1.111911 1.1334484 -0.8608009 -0.8442531 0.8279183 0.7993638
## X51 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X52 -0.898407 -0.8813356 -0.8608009 1.1832335 -1.2065786 0.7993638
## X53 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X54 -0.898407 -0.8813356 1.1604872 1.1832335 0.8279183 0.7993638
## X55 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X56 1.111911 1.1334484 -0.8608009 -0.8442531 0.8279183 0.7993638
## X57 1.111911 1.1334484 1.1604872 1.1832335 0.8279183 0.7993638
## X58 -0.898407 -0.8813356 1.1604872 -0.8442531 0.8279183 -1.2496793
## X59 1.111911 1.1334484 -0.8608009 -0.8442531 0.8279183 0.7993638
## X60 1.111911 1.1334484 1.1604872 1.1832335 0.8279183 0.7993638
## X61 1.111911 1.1334484 -0.8608009 1.1832335 -1.2065786 0.7993638
## X62 1.111911 1.1334484 -0.8608009 1.1832335 -1.2065786 0.7993638
## X63 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X64 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X65 1.111911 1.1334484 -0.8608009 1.1832335 -1.2065786 0.7993638
## X66 -0.898407 -0.8813356 -0.8608009 1.1832335 -1.2065786 0.7993638
## X67 1.111911 1.1334484 1.1604872 1.1832335 0.8279183 0.7993638
## X68 1.111911 1.1334484 -0.8608009 1.1832335 0.8279183 0.7993638
## X69 -0.898407 -0.8813356 -0.8608009 1.1832335 -1.2065786 0.7993638
## X70 -0.898407 -0.8813356 1.1604872 1.1832335 0.8279183 0.7993638
## X71 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 0.7993638
## X72 -0.898407 -0.8813356 -0.8608009 1.1832335 -1.2065786 0.7993638
## X73 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 0.7993638
## X74 -0.898407 -0.8813356 1.1604872 1.1832335 -1.2065786 0.7993638
## X75 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X76 1.111911 1.1334484 -0.8608009 1.1832335 0.8279183 0.7993638
## X77 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X78 -0.898407 -0.8813356 1.1604872 -0.8442531 0.8279183 -1.2496793
## X79 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 0.7993638
## X80 1.111911 1.1334484 -0.8608009 -0.8442531 0.8279183 0.7993638
## X81 1.111911 1.1334484 -0.8608009 -0.8442531 0.8279183 0.7993638
## X82 -0.898407 -0.8813356 1.1604872 -0.8442531 0.8279183 -1.2496793
## X83 -0.898407 -0.8813356 1.1604872 1.1832335 0.8279183 0.7993638
## X84 1.111911 1.1334484 1.1604872 -0.8442531 0.8279183 -1.2496793
## X85 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X86 -0.898407 -0.8813356 -0.8608009 1.1832335 -1.2065786 0.7993638
## X87 -0.898407 -0.8813356 -0.8608009 1.1832335 -1.2065786 0.7993638
## X88 1.111911 1.1334484 -0.8608009 1.1832335 -1.2065786 -1.2496793
## X89 1.111911 1.1334484 1.1604872 1.1832335 0.8279183 0.7993638
## X90 -0.898407 -0.8813356 -0.8608009 1.1832335 -1.2065786 0.7993638
## X91 1.111911 1.1334484 1.1604872 1.1832335 0.8279183 0.7993638
## X92 -0.898407 -0.8813356 1.1604872 -0.8442531 0.8279183 -1.2496793
## X93 -0.898407 -0.8813356 -0.8608009 -0.8442531 -1.2065786 -1.2496793
## X94 1.111911 1.1334484 -0.8608009 1.1832335 -1.2065786 0.7993638
## X95 1.111911 1.1334484 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X96 1.111911 1.1334484 1.1604872 1.1832335 0.8279183 -1.2496793
## X97 -0.898407 -0.8813356 -0.8608009 1.1832335 -1.2065786 0.7993638
## X98 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X99 1.111911 1.1334484 -0.8608009 -0.8442531 0.8279183 0.7993638
## X100 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X101 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X102 -0.898407 -0.8813356 1.1604872 1.1832335 0.8279183 0.7993638
## X103 1.111911 1.1334484 -0.8608009 1.1832335 -1.2065786 0.7993638
## X104 -0.898407 -0.8813356 1.1604872 -0.8442531 0.8279183 -1.2496793
## X105 1.111911 1.1334484 1.1604872 -0.8442531 0.8279183 -1.2496793
## X106 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 0.7993638
## X107 -0.898407 -0.8813356 1.1604872 -0.8442531 0.8279183 0.7993638
## X108 1.111911 1.1334484 -0.8608009 1.1832335 0.8279183 0.7993638
## X109 1.111911 -0.8813356 -0.8608009 1.1832335 -1.2065786 0.7993638
## X110 1.111911 1.1334484 1.1604872 1.1832335 0.8279183 0.7993638
## X111 1.111911 1.1334484 -0.8608009 1.1832335 -1.2065786 0.7993638
## X112 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X113 1.111911 1.1334484 -0.8608009 1.1832335 -1.2065786 0.7993638
## X114 1.111911 1.1334484 1.1604872 -0.8442531 0.8279183 0.7993638
## X115 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X116 1.111911 1.1334484 1.1604872 -0.8442531 0.8279183 -1.2496793
## X117 -0.898407 -0.8813356 -0.8608009 1.1832335 -1.2065786 0.7993638
## X118 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X119 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X120 -0.898407 -0.8813356 1.1604872 -0.8442531 0.8279183 -1.2496793
## X121 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X122 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X123 1.111911 1.1334484 1.1604872 1.1832335 0.8279183 0.7993638
## X124 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X125 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X126 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X127 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X128 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X129 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X130 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X131 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X132 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X133 -0.898407 -0.8813356 -0.8608009 1.1832335 0.8279183 0.7993638
## X134 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X135 -0.898407 -0.8813356 -0.8608009 -0.8442531 -1.2065786 -1.2496793
## X136 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X137 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X138 1.111911 -0.8813356 -0.8608009 -0.8442531 0.8279183 0.7993638
## X139 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X140 -0.898407 -0.8813356 1.1604872 -0.8442531 0.8279183 -1.2496793
## X141 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X142 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X143 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X144 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X145 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X146 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X147 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X148 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 0.7993638
## X149 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X150 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X151 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X152 -0.898407 -0.8813356 1.1604872 -0.8442531 0.8279183 -1.2496793
## X153 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X154 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X155 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X156 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X157 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X158 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X159 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X160 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X161 -0.898407 -0.8813356 -0.8608009 1.1832335 -1.2065786 0.7993638
## X162 1.111911 1.1334484 -0.8608009 -0.8442531 0.8279183 0.7993638
## X163 -0.898407 -0.8813356 -0.8608009 -0.8442531 -1.2065786 0.7993638
## X164 1.111911 1.1334484 -0.8608009 1.1832335 0.8279183 0.7993638
## X165 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X166 -0.898407 -0.8813356 -0.8608009 1.1832335 -1.2065786 0.7993638
## X167 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X168 -0.898407 -0.8813356 1.1604872 -0.8442531 0.8279183 0.7993638
## X169 1.111911 -0.8813356 -0.8608009 1.1832335 -1.2065786 0.7993638
## X170 1.111911 1.1334484 1.1604872 -0.8442531 0.8279183 0.7993638
## X171 1.111911 1.1334484 -0.8608009 1.1832335 0.8279183 0.7993638
## X172 -0.898407 -0.8813356 -0.8608009 -0.8442531 -1.2065786 -1.2496793
## X173 1.111911 1.1334484 1.1604872 -0.8442531 0.8279183 0.7993638
## X174 1.111911 1.1334484 1.1604872 -0.8442531 0.8279183 -1.2496793
## X175 -0.898407 -0.8813356 -0.8608009 -0.8442531 -1.2065786 -1.2496793
## X176 -0.898407 -0.8813356 1.1604872 1.1832335 0.8279183 0.7993638
## X177 1.111911 1.1334484 -0.8608009 -0.8442531 0.8279183 0.7993638
## X178 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X179 1.111911 1.1334484 -0.8608009 1.1832335 0.8279183 0.7993638
## X180 1.111911 -0.8813356 -0.8608009 -0.8442531 0.8279183 0.7993638
## X181 -0.898407 -0.8813356 1.1604872 1.1832335 0.8279183 0.7993638
## X182 1.111911 1.1334484 -0.8608009 1.1832335 0.8279183 0.7993638
## X183 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X184 -0.898407 -0.8813356 1.1604872 -0.8442531 0.8279183 -1.2496793
## X185 1.111911 -0.8813356 -0.8608009 1.1832335 0.8279183 0.7993638
## X186 1.111911 1.1334484 1.1604872 1.1832335 0.8279183 -1.2496793
## X187 -0.898407 -0.8813356 -0.8608009 1.1832335 -1.2065786 0.7993638
## X188 -0.898407 -0.8813356 1.1604872 1.1832335 0.8279183 0.7993638
## X189 -0.898407 -0.8813356 1.1604872 1.1832335 0.8279183 0.7993638
## X190 1.111911 -0.8813356 -0.8608009 -0.8442531 0.8279183 0.7993638
## X191 1.111911 1.1334484 -0.8608009 1.1832335 0.8279183 0.7993638
## X192 1.111911 1.1334484 1.1604872 -0.8442531 0.8279183 -1.2496793
## X193 -0.898407 -0.8813356 -0.8608009 1.1832335 -1.2065786 -1.2496793
## X194 1.111911 1.1334484 -0.8608009 -0.8442531 0.8279183 0.7993638
## X195 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 0.7993638
## X196 1.111911 1.1334484 -0.8608009 -0.8442531 0.8279183 0.7993638
## X197 1.111911 -0.8813356 1.1604872 -0.8442531 0.8279183 0.7993638
## X198 -0.898407 1.1334484 1.1604872 1.1832335 -1.2065786 0.7993638
## X199 -0.898407 -0.8813356 -0.8608009 -0.8442531 -1.2065786 -1.2496793
## X200 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X201 -0.898407 -0.8813356 -0.8608009 1.1832335 -1.2065786 0.7993638
## X202 1.111911 1.1334484 -0.8608009 -0.8442531 0.8279183 0.7993638
## X203 1.111911 1.1334484 -0.8608009 1.1832335 0.8279183 0.7993638
## X204 1.111911 1.1334484 -0.8608009 1.1832335 0.8279183 0.7993638
## X205 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X206 -0.898407 -0.8813356 1.1604872 -0.8442531 0.8279183 -1.2496793
## X207 1.111911 -0.8813356 -0.8608009 1.1832335 0.8279183 0.7993638
## X208 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X209 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 0.7993638
## X210 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X211 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X212 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X213 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X214 1.111911 1.1334484 -0.8608009 1.1832335 0.8279183 0.7993638
## X215 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X216 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X217 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X218 1.111911 -0.8813356 -0.8608009 -0.8442531 0.8279183 0.7993638
## X219 1.111911 1.1334484 -0.8608009 1.1832335 -1.2065786 0.7993638
## X220 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X221 -0.898407 -0.8813356 -0.8608009 1.1832335 -1.2065786 0.7993638
## X222 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X223 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X224 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X225 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X226 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X227 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X228 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X229 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X230 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X231 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X232 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X233 1.111911 1.1334484 1.1604872 -0.8442531 0.8279183 -1.2496793
## X234 1.111911 1.1334484 -0.8608009 -0.8442531 0.8279183 0.7993638
## X235 -0.898407 -0.8813356 -0.8608009 -0.8442531 -1.2065786 -1.2496793
## X236 1.111911 -0.8813356 1.1604872 1.1832335 0.8279183 0.7993638
## X237 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X238 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X239 1.111911 1.1334484 -0.8608009 1.1832335 0.8279183 -1.2496793
## X240 1.111911 1.1334484 1.1604872 -0.8442531 0.8279183 0.7993638
## X241 -0.898407 -0.8813356 -0.8608009 1.1832335 -1.2065786 0.7993638
## X242 -0.898407 -0.8813356 -0.8608009 1.1832335 0.8279183 -1.2496793
## X243 -0.898407 -0.8813356 1.1604872 -0.8442531 0.8279183 -1.2496793
## X244 1.111911 -0.8813356 1.1604872 -0.8442531 0.8279183 0.7993638
## X245 1.111911 1.1334484 -0.8608009 -0.8442531 0.8279183 0.7993638
## X246 1.111911 1.1334484 1.1604872 -0.8442531 0.8279183 0.7993638
## X247 1.111911 -0.8813356 1.1604872 -0.8442531 0.8279183 0.7993638
## X248 -0.898407 1.1334484 -0.8608009 1.1832335 -1.2065786 0.7993638
## X249 -0.898407 -0.8813356 -0.8608009 -0.8442531 -1.2065786 -1.2496793
## X250 1.111911 1.1334484 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X251 -0.898407 -0.8813356 -0.8608009 1.1832335 -1.2065786 0.7993638
## X252 -0.898407 -0.8813356 1.1604872 1.1832335 0.8279183 -1.2496793
## X253 -0.898407 -0.8813356 -0.8608009 -0.8442531 -1.2065786 -1.2496793
## X254 1.111911 -0.8813356 1.1604872 -0.8442531 0.8279183 0.7993638
## X255 1.111911 1.1334484 1.1604872 1.1832335 0.8279183 -1.2496793
## X256 1.111911 1.1334484 1.1604872 1.1832335 -1.2065786 0.7993638
## X257 -0.898407 1.1334484 1.1604872 1.1832335 0.8279183 0.7993638
## X258 -0.898407 -0.8813356 -0.8608009 1.1832335 -1.2065786 0.7993638
## X259 -0.898407 -0.8813356 -0.8608009 -0.8442531 -1.2065786 -1.2496793
## X260 1.111911 1.1334484 -0.8608009 1.1832335 0.8279183 -1.2496793
## X261 1.111911 1.1334484 1.1604872 -0.8442531 0.8279183 0.7993638
## X262 -0.898407 -0.8813356 -0.8608009 1.1832335 -1.2065786 -1.2496793
## X263 -0.898407 -0.8813356 -0.8608009 1.1832335 -1.2065786 0.7993638
## X264 -0.898407 -0.8813356 1.1604872 -0.8442531 0.8279183 -1.2496793
## X265 -0.898407 -0.8813356 -0.8608009 -0.8442531 -1.2065786 0.7993638
## X266 -0.898407 -0.8813356 -0.8608009 -0.8442531 -1.2065786 0.7993638
## X267 -0.898407 -0.8813356 1.1604872 -0.8442531 0.8279183 -1.2496793
## X268 1.111911 1.1334484 -0.8608009 1.1832335 -1.2065786 0.7993638
## X269 1.111911 1.1334484 1.1604872 1.1832335 0.8279183 0.7993638
## X270 1.111911 1.1334484 -0.8608009 1.1832335 0.8279183 0.7993638
## X271 1.111911 1.1334484 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X272 1.111911 1.1334484 1.1604872 1.1832335 0.8279183 0.7993638
## X273 -0.898407 -0.8813356 -0.8608009 1.1832335 -1.2065786 0.7993638
## X274 1.111911 1.1334484 1.1604872 -0.8442531 0.8279183 0.7993638
## X275 1.111911 1.1334484 -0.8608009 1.1832335 -1.2065786 0.7993638
## X276 1.111911 1.1334484 1.1604872 -0.8442531 0.8279183 -1.2496793
## X277 1.111911 -0.8813356 1.1604872 -0.8442531 0.8279183 0.7993638
## X278 -0.898407 -0.8813356 1.1604872 -0.8442531 0.8279183 -1.2496793
## X279 -0.898407 -0.8813356 1.1604872 -0.8442531 0.8279183 -1.2496793
## X280 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 0.7993638
## X281 -0.898407 -0.8813356 -0.8608009 -0.8442531 -1.2065786 0.7993638
## X282 1.111911 1.1334484 1.1604872 -0.8442531 0.8279183 0.7993638
## X283 -0.898407 -0.8813356 -0.8608009 -0.8442531 -1.2065786 0.7993638
## X284 1.111911 -0.8813356 1.1604872 1.1832335 0.8279183 0.7993638
## X285 -0.898407 1.1334484 1.1604872 -0.8442531 0.8279183 0.7993638
## X286 1.111911 -0.8813356 1.1604872 -0.8442531 0.8279183 0.7993638
## X287 1.111911 -0.8813356 1.1604872 1.1832335 0.8279183 0.7993638
## X288 1.111911 1.1334484 1.1604872 1.1832335 0.8279183 -1.2496793
## X289 1.111911 1.1334484 1.1604872 -0.8442531 0.8279183 0.7993638
## X290 -0.898407 1.1334484 1.1604872 -0.8442531 0.8279183 -1.2496793
## X291 -0.898407 -0.8813356 -0.8608009 1.1832335 -1.2065786 0.7993638
## X292 1.111911 -0.8813356 1.1604872 -0.8442531 0.8279183 0.7993638
## X293 1.111911 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X294 -0.898407 -0.8813356 -0.8608009 1.1832335 0.8279183 0.7993638
## X295 1.111911 1.1334484 1.1604872 -0.8442531 0.8279183 0.7993638
## X296 1.111911 -0.8813356 1.1604872 -0.8442531 0.8279183 0.7993638
## X297 1.111911 1.1334484 -0.8608009 1.1832335 -1.2065786 0.7993638
## X298 -0.898407 1.1334484 1.1604872 1.1832335 0.8279183 0.7993638
## X299 1.111911 1.1334484 1.1604872 1.1832335 0.8279183 0.7993638
## X300 -0.898407 -0.8813356 -0.8608009 1.1832335 -1.2065786 0.7993638
## X301 -0.898407 -0.8813356 1.1604872 1.1832335 0.8279183 0.7993638
## X302 1.111911 1.1334484 1.1604872 1.1832335 -1.2065786 0.7993638
## X303 -0.898407 -0.8813356 1.1604872 1.1832335 0.8279183 0.7993638
## X304 1.111911 -0.8813356 1.1604872 -0.8442531 0.8279183 -1.2496793
## X305 1.111911 1.1334484 1.1604872 1.1832335 0.8279183 0.7993638
## X306 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X307 -0.898407 -0.8813356 1.1604872 -0.8442531 0.8279183 -1.2496793
## X308 1.111911 1.1334484 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X309 -0.898407 -0.8813356 1.1604872 -0.8442531 0.8279183 -1.2496793
## X310 1.111911 1.1334484 -0.8608009 1.1832335 0.8279183 0.7993638
## X311 -0.898407 -0.8813356 -0.8608009 1.1832335 -1.2065786 0.7993638
## X312 1.111911 1.1334484 1.1604872 -0.8442531 0.8279183 0.7993638
## X313 -0.898407 -0.8813356 1.1604872 1.1832335 -1.2065786 0.7993638
## X314 -0.898407 -0.8813356 -0.8608009 -0.8442531 -1.2065786 -1.2496793
## X315 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 0.7993638
## X316 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X317 -0.898407 -0.8813356 -0.8608009 -0.8442531 -1.2065786 -1.2496793
## X318 1.111911 1.1334484 1.1604872 -0.8442531 0.8279183 0.7993638
## X319 1.111911 1.1334484 1.1604872 -0.8442531 0.8279183 0.7993638
## X320 -0.898407 -0.8813356 1.1604872 1.1832335 0.8279183 0.7993638
## X321 1.111911 1.1334484 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X322 1.111911 1.1334484 1.1604872 1.1832335 0.8279183 0.7993638
## X323 -0.898407 -0.8813356 1.1604872 -0.8442531 0.8279183 -1.2496793
## X324 -0.898407 -0.8813356 -0.8608009 1.1832335 -1.2065786 0.7993638
## X325 -0.898407 -0.8813356 -0.8608009 -0.8442531 -1.2065786 0.7993638
## X326 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X327 -0.898407 -0.8813356 -0.8608009 1.1832335 -1.2065786 0.7993638
## X328 1.111911 1.1334484 -0.8608009 -0.8442531 -1.2065786 -1.2496793
## X329 -0.898407 -0.8813356 -0.8608009 1.1832335 -1.2065786 0.7993638
## X330 -0.898407 -0.8813356 1.1604872 -0.8442531 0.8279183 -1.2496793
## X331 1.111911 1.1334484 1.1604872 -0.8442531 0.8279183 0.7993638
## X332 -0.898407 1.1334484 1.1604872 -0.8442531 0.8279183 0.7993638
## X333 1.111911 1.1334484 1.1604872 1.1832335 0.8279183 0.7993638
## X334 1.111911 1.1334484 1.1604872 -0.8442531 0.8279183 0.7993638
## X335 1.111911 1.1334484 1.1604872 1.1832335 0.8279183 0.7993638
## X336 -0.898407 -0.8813356 -0.8608009 -0.8442531 -1.2065786 0.7993638
## X337 1.111911 -0.8813356 1.1604872 -0.8442531 0.8279183 0.7993638
## X338 1.111911 1.1334484 1.1604872 -0.8442531 0.8279183 0.7993638
## X339 1.111911 1.1334484 1.1604872 -0.8442531 0.8279183 0.7993638
## X340 1.111911 1.1334484 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X341 -0.898407 1.1334484 -0.8608009 1.1832335 -1.2065786 0.7993638
## X342 -0.898407 -0.8813356 -0.8608009 -0.8442531 -1.2065786 0.7993638
## X343 1.111911 1.1334484 1.1604872 -0.8442531 0.8279183 -1.2496793
## X344 1.111911 1.1334484 1.1604872 1.1832335 0.8279183 0.7993638
## X345 -0.898407 -0.8813356 1.1604872 -0.8442531 0.8279183 -1.2496793
## X346 1.111911 1.1334484 1.1604872 1.1832335 0.8279183 0.7993638
## X347 1.111911 1.1334484 -0.8608009 1.1832335 0.8279183 0.7993638
## X348 1.111911 -0.8813356 1.1604872 -0.8442531 0.8279183 0.7993638
## X349 -0.898407 -0.8813356 -0.8608009 1.1832335 -1.2065786 0.7993638
## X350 -0.898407 -0.8813356 1.1604872 1.1832335 0.8279183 -1.2496793
## X351 1.111911 1.1334484 -0.8608009 1.1832335 -1.2065786 0.7993638
## X352 -0.898407 -0.8813356 1.1604872 1.1832335 -1.2065786 0.7993638
## X353 1.111911 1.1334484 1.1604872 1.1832335 0.8279183 0.7993638
## X354 -0.898407 -0.8813356 1.1604872 1.1832335 0.8279183 0.7993638
## X355 1.111911 1.1334484 -0.8608009 1.1832335 -1.2065786 -1.2496793
## X356 -0.898407 -0.8813356 -0.8608009 -0.8442531 -1.2065786 0.7993638
## X357 1.111911 -0.8813356 -0.8608009 1.1832335 0.8279183 0.7993638
## X358 1.111911 1.1334484 -0.8608009 1.1832335 -1.2065786 0.7993638
## X359 1.111911 1.1334484 1.1604872 1.1832335 0.8279183 0.7993638
## X360 1.111911 1.1334484 -0.8608009 -0.8442531 0.8279183 0.7993638
## X361 1.111911 1.1334484 -0.8608009 1.1832335 -1.2065786 0.7993638
## X362 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X363 1.111911 -0.8813356 1.1604872 -0.8442531 0.8279183 -1.2496793
## X364 -0.898407 -0.8813356 -0.8608009 -0.8442531 -1.2065786 -1.2496793
## X365 1.111911 1.1334484 1.1604872 -0.8442531 0.8279183 0.7993638
## X366 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 0.7993638
## X367 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 0.7993638
## X368 -0.898407 -0.8813356 -0.8608009 1.1832335 -1.2065786 0.7993638
## X369 1.111911 1.1334484 1.1604872 1.1832335 0.8279183 0.7993638
## X370 1.111911 -0.8813356 1.1604872 1.1832335 0.8279183 -1.2496793
## X371 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X372 1.111911 1.1334484 1.1604872 -0.8442531 0.8279183 -1.2496793
## X373 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X374 1.111911 1.1334484 1.1604872 -0.8442531 0.8279183 -1.2496793
## X375 1.111911 1.1334484 1.1604872 -0.8442531 0.8279183 0.7993638
## X376 1.111911 1.1334484 -0.8608009 1.1832335 0.8279183 0.7993638
## X377 1.111911 1.1334484 -0.8608009 1.1832335 0.8279183 0.7993638
## X378 -0.898407 -0.8813356 1.1604872 1.1832335 0.8279183 0.7993638
## X379 -0.898407 -0.8813356 -0.8608009 1.1832335 -1.2065786 0.7993638
## X380 -0.898407 -0.8813356 -0.8608009 -0.8442531 -1.2065786 -1.2496793
## X381 1.111911 1.1334484 -0.8608009 1.1832335 0.8279183 -1.2496793
## X382 1.111911 1.1334484 1.1604872 -0.8442531 0.8279183 0.7993638
## X383 1.111911 1.1334484 -0.8608009 1.1832335 0.8279183 0.7993638
## X384 1.111911 1.1334484 -0.8608009 -0.8442531 0.8279183 0.7993638
## X385 1.111911 1.1334484 -0.8608009 -0.8442531 -1.2065786 0.7993638
## X386 1.111911 -0.8813356 1.1604872 -0.8442531 0.8279183 -1.2496793
## X387 1.111911 1.1334484 1.1604872 1.1832335 0.8279183 0.7993638
## X388 1.111911 1.1334484 1.1604872 -0.8442531 0.8279183 0.7993638
## X389 1.111911 -0.8813356 1.1604872 1.1832335 0.8279183 0.7993638
## X390 1.111911 1.1334484 1.1604872 1.1832335 0.8279183 0.7993638
## X391 1.111911 1.1334484 -0.8608009 1.1832335 0.8279183 0.7993638
## X392 1.111911 1.1334484 1.1604872 1.1832335 0.8279183 0.7993638
## X393 -0.898407 -0.8813356 -0.8608009 1.1832335 -1.2065786 0.7993638
## X394 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X395 1.111911 1.1334484 1.1604872 1.1832335 0.8279183 0.7993638
## X396 -0.898407 -0.8813356 -0.8608009 1.1832335 -1.2065786 0.7993638
## X397 -0.898407 -0.8813356 -0.8608009 1.1832335 -1.2065786 -1.2496793
## X398 -0.898407 -0.8813356 -0.8608009 -0.8442531 -1.2065786 0.7993638
## X399 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X400 1.111911 1.1334484 1.1604872 -0.8442531 0.8279183 0.7993638
## X401 -0.898407 -0.8813356 1.1604872 1.1832335 0.8279183 0.7993638
## X402 1.111911 1.1334484 1.1604872 1.1832335 0.8279183 -1.2496793
## X403 1.111911 -0.8813356 -0.8608009 1.1832335 0.8279183 0.7993638
## X404 -0.898407 1.1334484 -0.8608009 1.1832335 -1.2065786 0.7993638
## X405 1.111911 1.1334484 1.1604872 -0.8442531 0.8279183 0.7993638
## X406 1.111911 1.1334484 -0.8608009 -0.8442531 -1.2065786 0.7993638
## X407 1.111911 1.1334484 1.1604872 -0.8442531 0.8279183 -1.2496793
## X408 -0.898407 -0.8813356 -0.8608009 1.1832335 -1.2065786 0.7993638
## X409 1.111911 1.1334484 1.1604872 1.1832335 0.8279183 0.7993638
## X410 1.111911 -0.8813356 1.1604872 -0.8442531 0.8279183 -1.2496793
## X411 1.111911 1.1334484 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X412 1.111911 -0.8813356 1.1604872 -0.8442531 0.8279183 -1.2496793
## X413 -0.898407 -0.8813356 1.1604872 -0.8442531 0.8279183 -1.2496793
## X414 -0.898407 -0.8813356 1.1604872 1.1832335 -1.2065786 0.7993638
## X415 -0.898407 -0.8813356 -0.8608009 -0.8442531 -1.2065786 0.7993638
## X416 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X417 1.111911 -0.8813356 1.1604872 -0.8442531 0.8279183 0.7993638
## X418 1.111911 -0.8813356 -0.8608009 -0.8442531 0.8279183 0.7993638
## X419 1.111911 1.1334484 -0.8608009 -0.8442531 -1.2065786 -1.2496793
## X420 -0.898407 -0.8813356 1.1604872 -0.8442531 0.8279183 0.7993638
## X421 1.111911 1.1334484 1.1604872 -0.8442531 0.8279183 0.7993638
## X422 1.111911 1.1334484 -0.8608009 1.1832335 0.8279183 -1.2496793
## X423 1.111911 1.1334484 -0.8608009 1.1832335 0.8279183 0.7993638
## X424 1.111911 1.1334484 1.1604872 1.1832335 0.8279183 0.7993638
## X425 1.111911 1.1334484 -0.8608009 1.1832335 0.8279183 0.7993638
## X426 1.111911 1.1334484 -0.8608009 -0.8442531 0.8279183 0.7993638
## X427 -0.898407 -0.8813356 -0.8608009 -0.8442531 -1.2065786 -1.2496793
## X428 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X429 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X430 -0.898407 1.1334484 1.1604872 -0.8442531 0.8279183 0.7993638
## X431 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 0.7993638
## X432 1.111911 1.1334484 -0.8608009 1.1832335 0.8279183 -1.2496793
## X433 -0.898407 -0.8813356 -0.8608009 -0.8442531 -1.2065786 -1.2496793
## X434 -0.898407 1.1334484 1.1604872 -0.8442531 0.8279183 -1.2496793
## X435 -0.898407 1.1334484 -0.8608009 1.1832335 -1.2065786 0.7993638
## X436 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 0.7993638
## X437 1.111911 1.1334484 1.1604872 -0.8442531 0.8279183 0.7993638
## X438 1.111911 1.1334484 -0.8608009 1.1832335 0.8279183 0.7993638
## X439 -0.898407 -0.8813356 -0.8608009 1.1832335 -1.2065786 0.7993638
## X440 -0.898407 -0.8813356 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X441 1.111911 1.1334484 1.1604872 1.1832335 0.8279183 0.7993638
## X442 1.111911 -0.8813356 1.1604872 -0.8442531 0.8279183 0.7993638
## X443 1.111911 1.1334484 1.1604872 1.1832335 0.8279183 0.7993638
## X444 1.111911 1.1334484 1.1604872 1.1832335 -1.2065786 0.7993638
## X445 -0.898407 1.1334484 1.1604872 1.1832335 -1.2065786 0.7993638
## X446 1.111911 1.1334484 1.1604872 -0.8442531 0.8279183 0.7993638
## X447 1.111911 1.1334484 -0.8608009 1.1832335 -1.2065786 0.7993638
## X448 -0.898407 1.1334484 1.1604872 1.1832335 -1.2065786 0.7993638
## X449 1.111911 1.1334484 1.1604872 -0.8442531 0.8279183 -1.2496793
## X450 -0.898407 -0.8813356 1.1604872 -0.8442531 0.8279183 -1.2496793
## X451 1.111911 1.1334484 -0.8608009 1.1832335 -1.2065786 0.7993638
## X452 1.111911 1.1334484 -0.8608009 -0.8442531 0.8279183 -1.2496793
## X453 1.111911 1.1334484 -0.8608009 -0.8442531 0.8279183 0.7993638
## X454 1.111911 1.1334484 -0.8608009 1.1832335 0.8279183 0.7993638
## FP067 FP068 FP069 FP070 FP071 FP072
## X1 1.2777443 -0.7524132 1.3276594 1.3459950 -0.6967256 -1.3871296
## X2 1.2777443 1.3276594 -0.7524132 1.3459950 -0.6967256 0.7201551
## X3 -0.7818063 -0.7524132 1.3276594 -0.7421636 -0.6967256 0.7201551
## X4 -0.7818063 -0.7524132 1.3276594 1.3459950 -0.6967256 -1.3871296
## X5 1.2777443 1.3276594 1.3276594 -0.7421636 -0.6967256 -1.3871296
## X6 1.2777443 1.3276594 1.3276594 -0.7421636 -0.6967256 0.7201551
## X7 1.2777443 1.3276594 -0.7524132 1.3459950 1.4337761 -1.3871296
## X8 -0.7818063 -0.7524132 1.3276594 -0.7421636 -0.6967256 0.7201551
## X9 -0.7818063 -0.7524132 1.3276594 1.3459950 1.4337761 0.7201551
## X10 1.2777443 1.3276594 -0.7524132 -0.7421636 1.4337761 0.7201551
## X11 -0.7818063 -0.7524132 1.3276594 1.3459950 1.4337761 0.7201551
## X12 -0.7818063 -0.7524132 1.3276594 1.3459950 1.4337761 0.7201551
## X13 -0.7818063 -0.7524132 1.3276594 -0.7421636 -0.6967256 -1.3871296
## X14 -0.7818063 -0.7524132 -0.7524132 -0.7421636 -0.6967256 -1.3871296
## X15 -0.7818063 -0.7524132 1.3276594 -0.7421636 -0.6967256 -1.3871296
## X16 -0.7818063 -0.7524132 1.3276594 -0.7421636 -0.6967256 0.7201551
## X17 1.2777443 1.3276594 1.3276594 1.3459950 1.4337761 0.7201551
## X18 1.2777443 1.3276594 -0.7524132 1.3459950 -0.6967256 0.7201551
## X19 -0.7818063 -0.7524132 1.3276594 1.3459950 1.4337761 0.7201551
## X20 -0.7818063 -0.7524132 -0.7524132 -0.7421636 -0.6967256 -1.3871296
## X21 -0.7818063 -0.7524132 -0.7524132 1.3459950 -0.6967256 0.7201551
## X22 1.2777443 1.3276594 1.3276594 -0.7421636 -0.6967256 -1.3871296
## X23 1.2777443 1.3276594 1.3276594 1.3459950 1.4337761 0.7201551
## X24 1.2777443 1.3276594 -0.7524132 1.3459950 -0.6967256 0.7201551
## X25 1.2777443 1.3276594 1.3276594 1.3459950 -0.6967256 0.7201551
## X26 1.2777443 1.3276594 -0.7524132 1.3459950 -0.6967256 0.7201551
## X27 1.2777443 1.3276594 1.3276594 1.3459950 -0.6967256 0.7201551
## X28 1.2777443 1.3276594 -0.7524132 -0.7421636 -0.6967256 -1.3871296
## X29 1.2777443 1.3276594 1.3276594 1.3459950 -0.6967256 0.7201551
## X30 -0.7818063 -0.7524132 -0.7524132 -0.7421636 1.4337761 -1.3871296
## X31 -0.7818063 -0.7524132 -0.7524132 -0.7421636 -0.6967256 -1.3871296
## X32 -0.7818063 -0.7524132 1.3276594 -0.7421636 -0.6967256 -1.3871296
## X33 -0.7818063 -0.7524132 1.3276594 -0.7421636 1.4337761 -1.3871296
## X34 -0.7818063 -0.7524132 1.3276594 -0.7421636 -0.6967256 -1.3871296
## X35 -0.7818063 -0.7524132 1.3276594 1.3459950 1.4337761 0.7201551
## X36 -0.7818063 -0.7524132 -0.7524132 -0.7421636 -0.6967256 -1.3871296
## X37 -0.7818063 -0.7524132 1.3276594 -0.7421636 1.4337761 -1.3871296
## X38 -0.7818063 -0.7524132 1.3276594 1.3459950 1.4337761 0.7201551
## X39 -0.7818063 -0.7524132 1.3276594 -0.7421636 -0.6967256 0.7201551
## X40 1.2777443 1.3276594 -0.7524132 -0.7421636 1.4337761 0.7201551
## X41 -0.7818063 -0.7524132 1.3276594 1.3459950 1.4337761 0.7201551
## X42 1.2777443 1.3276594 -0.7524132 -0.7421636 -0.6967256 0.7201551
## X43 -0.7818063 -0.7524132 -0.7524132 -0.7421636 -0.6967256 -1.3871296
## X44 1.2777443 1.3276594 -0.7524132 1.3459950 -0.6967256 -1.3871296
## X45 1.2777443 1.3276594 1.3276594 1.3459950 -0.6967256 -1.3871296
## X46 -0.7818063 1.3276594 -0.7524132 1.3459950 1.4337761 0.7201551
## X47 -0.7818063 -0.7524132 -0.7524132 -0.7421636 -0.6967256 -1.3871296
## X48 1.2777443 1.3276594 -0.7524132 -0.7421636 -0.6967256 -1.3871296
## X49 -0.7818063 -0.7524132 -0.7524132 -0.7421636 1.4337761 0.7201551
## X50 -0.7818063 -0.7524132 -0.7524132 -0.7421636 1.4337761 0.7201551
## X51 -0.7818063 -0.7524132 -0.7524132 -0.7421636 1.4337761 -1.3871296
## X52 -0.7818063 -0.7524132 1.3276594 -0.7421636 -0.6967256 -1.3871296
## X53 -0.7818063 -0.7524132 -0.7524132 -0.7421636 1.4337761 -1.3871296
## X54 1.2777443 1.3276594 1.3276594 -0.7421636 -0.6967256 -1.3871296
## X55 -0.7818063 -0.7524132 -0.7524132 -0.7421636 1.4337761 -1.3871296
## X56 -0.7818063 -0.7524132 -0.7524132 1.3459950 1.4337761 0.7201551
## X57 1.2777443 1.3276594 -0.7524132 -0.7421636 -0.6967256 0.7201551
## X58 1.2777443 1.3276594 -0.7524132 -0.7421636 -0.6967256 -1.3871296
## X59 -0.7818063 -0.7524132 1.3276594 1.3459950 1.4337761 0.7201551
## X60 1.2777443 1.3276594 1.3276594 1.3459950 1.4337761 0.7201551
## X61 -0.7818063 -0.7524132 -0.7524132 -0.7421636 -0.6967256 0.7201551
## X62 -0.7818063 -0.7524132 1.3276594 -0.7421636 -0.6967256 0.7201551
## X63 -0.7818063 -0.7524132 -0.7524132 -0.7421636 1.4337761 -1.3871296
## X64 -0.7818063 -0.7524132 -0.7524132 -0.7421636 -0.6967256 -1.3871296
## X65 -0.7818063 -0.7524132 1.3276594 1.3459950 1.4337761 0.7201551
## X66 -0.7818063 -0.7524132 -0.7524132 -0.7421636 -0.6967256 0.7201551
## X67 1.2777443 1.3276594 -0.7524132 1.3459950 -0.6967256 0.7201551
## X68 -0.7818063 -0.7524132 1.3276594 1.3459950 1.4337761 0.7201551
## X69 -0.7818063 -0.7524132 -0.7524132 -0.7421636 -0.6967256 -1.3871296
## X70 1.2777443 1.3276594 -0.7524132 1.3459950 -0.6967256 -1.3871296
## X71 -0.7818063 -0.7524132 1.3276594 -0.7421636 -0.6967256 -1.3871296
## X72 -0.7818063 -0.7524132 -0.7524132 -0.7421636 -0.6967256 -1.3871296
## X73 -0.7818063 -0.7524132 1.3276594 -0.7421636 -0.6967256 0.7201551
## X74 1.2777443 1.3276594 1.3276594 -0.7421636 -0.6967256 -1.3871296
## X75 -0.7818063 -0.7524132 -0.7524132 -0.7421636 -0.6967256 -1.3871296
## X76 -0.7818063 -0.7524132 1.3276594 1.3459950 1.4337761 0.7201551
## X77 -0.7818063 -0.7524132 -0.7524132 -0.7421636 -0.6967256 -1.3871296
## X78 1.2777443 1.3276594 -0.7524132 -0.7421636 1.4337761 -1.3871296
## X79 -0.7818063 -0.7524132 1.3276594 1.3459950 -0.6967256 -1.3871296
## X80 -0.7818063 -0.7524132 1.3276594 1.3459950 -0.6967256 0.7201551
## X81 -0.7818063 -0.7524132 1.3276594 1.3459950 1.4337761 0.7201551
## X82 1.2777443 -0.7524132 -0.7524132 -0.7421636 -0.6967256 -1.3871296
## X83 1.2777443 1.3276594 1.3276594 1.3459950 -0.6967256 -1.3871296
## X84 1.2777443 1.3276594 -0.7524132 1.3459950 1.4337761 0.7201551
## X85 -0.7818063 -0.7524132 -0.7524132 -0.7421636 1.4337761 -1.3871296
## X86 -0.7818063 -0.7524132 -0.7524132 -0.7421636 -0.6967256 -1.3871296
## X87 -0.7818063 -0.7524132 -0.7524132 -0.7421636 -0.6967256 -1.3871296
## X88 -0.7818063 -0.7524132 -0.7524132 -0.7421636 -0.6967256 0.7201551
## X89 1.2777443 1.3276594 -0.7524132 1.3459950 1.4337761 0.7201551
## X90 -0.7818063 -0.7524132 1.3276594 1.3459950 -0.6967256 0.7201551
## X91 1.2777443 1.3276594 1.3276594 1.3459950 1.4337761 0.7201551
## X92 1.2777443 1.3276594 -0.7524132 -0.7421636 -0.6967256 -1.3871296
## X93 -0.7818063 -0.7524132 -0.7524132 1.3459950 1.4337761 -1.3871296
## X94 -0.7818063 -0.7524132 1.3276594 1.3459950 -0.6967256 0.7201551
## X95 -0.7818063 -0.7524132 -0.7524132 1.3459950 -0.6967256 0.7201551
## X96 1.2777443 1.3276594 -0.7524132 1.3459950 1.4337761 0.7201551
## X97 -0.7818063 -0.7524132 1.3276594 -0.7421636 -0.6967256 -1.3871296
## X98 -0.7818063 -0.7524132 -0.7524132 -0.7421636 1.4337761 -1.3871296
## X99 -0.7818063 -0.7524132 1.3276594 1.3459950 1.4337761 0.7201551
## X100 -0.7818063 -0.7524132 -0.7524132 -0.7421636 1.4337761 -1.3871296
## X101 -0.7818063 -0.7524132 -0.7524132 -0.7421636 1.4337761 -1.3871296
## X102 1.2777443 1.3276594 1.3276594 1.3459950 -0.6967256 -1.3871296
## X103 -0.7818063 -0.7524132 -0.7524132 -0.7421636 -0.6967256 0.7201551
## X104 1.2777443 -0.7524132 -0.7524132 -0.7421636 -0.6967256 -1.3871296
## X105 1.2777443 1.3276594 -0.7524132 1.3459950 1.4337761 0.7201551
## X106 -0.7818063 -0.7524132 1.3276594 1.3459950 1.4337761 0.7201551
## X107 1.2777443 1.3276594 1.3276594 -0.7421636 1.4337761 -1.3871296
## X108 -0.7818063 -0.7524132 1.3276594 1.3459950 1.4337761 0.7201551
## X109 -0.7818063 -0.7524132 1.3276594 1.3459950 -0.6967256 0.7201551
## X110 1.2777443 1.3276594 1.3276594 1.3459950 1.4337761 0.7201551
## X111 -0.7818063 -0.7524132 -0.7524132 1.3459950 1.4337761 0.7201551
## X112 -0.7818063 -0.7524132 -0.7524132 1.3459950 1.4337761 -1.3871296
## X113 -0.7818063 -0.7524132 -0.7524132 -0.7421636 -0.6967256 0.7201551
## X114 1.2777443 1.3276594 1.3276594 1.3459950 1.4337761 0.7201551
## X115 -0.7818063 -0.7524132 -0.7524132 -0.7421636 1.4337761 -1.3871296
## X116 1.2777443 1.3276594 -0.7524132 1.3459950 1.4337761 0.7201551
## X117 -0.7818063 -0.7524132 -0.7524132 -0.7421636 -0.6967256 0.7201551
## X118 -0.7818063 -0.7524132 -0.7524132 1.3459950 1.4337761 -1.3871296
## X119 -0.7818063 -0.7524132 -0.7524132 1.3459950 -0.6967256 -1.3871296
## X120 1.2777443 1.3276594 -0.7524132 1.3459950 -0.6967256 -1.3871296
## X121 -0.7818063 -0.7524132 -0.7524132 1.3459950 1.4337761 0.7201551
## X122 -0.7818063 -0.7524132 -0.7524132 -0.7421636 1.4337761 -1.3871296
## X123 1.2777443 1.3276594 1.3276594 1.3459950 1.4337761 0.7201551
## X124 -0.7818063 -0.7524132 -0.7524132 1.3459950 1.4337761 -1.3871296
## X125 -0.7818063 -0.7524132 -0.7524132 -0.7421636 1.4337761 -1.3871296
## X126 -0.7818063 -0.7524132 -0.7524132 1.3459950 1.4337761 -1.3871296
## X127 -0.7818063 -0.7524132 -0.7524132 1.3459950 1.4337761 -1.3871296
## X128 -0.7818063 -0.7524132 -0.7524132 -0.7421636 -0.6967256 -1.3871296
## X129 -0.7818063 -0.7524132 -0.7524132 1.3459950 1.4337761 -1.3871296
## X130 -0.7818063 -0.7524132 -0.7524132 1.3459950 -0.6967256 -1.3871296
## X131 -0.7818063 -0.7524132 -0.7524132 1.3459950 -0.6967256 -1.3871296
## X132 -0.7818063 -0.7524132 -0.7524132 1.3459950 1.4337761 -1.3871296
## X133 -0.7818063 -0.7524132 -0.7524132 -0.7421636 -0.6967256 -1.3871296
## X134 -0.7818063 -0.7524132 -0.7524132 -0.7421636 -0.6967256 -1.3871296
## X135 -0.7818063 -0.7524132 -0.7524132 -0.7421636 -0.6967256 -1.3871296
## X136 -0.7818063 -0.7524132 -0.7524132 1.3459950 1.4337761 -1.3871296
## X137 -0.7818063 -0.7524132 -0.7524132 -0.7421636 1.4337761 -1.3871296
## X138 -0.7818063 -0.7524132 1.3276594 1.3459950 -0.6967256 0.7201551
## X139 -0.7818063 -0.7524132 -0.7524132 1.3459950 1.4337761 -1.3871296
## X140 1.2777443 -0.7524132 -0.7524132 1.3459950 -0.6967256 -1.3871296
## X141 -0.7818063 -0.7524132 -0.7524132 1.3459950 1.4337761 -1.3871296
## X142 -0.7818063 -0.7524132 -0.7524132 1.3459950 1.4337761 -1.3871296
## X143 -0.7818063 -0.7524132 -0.7524132 1.3459950 1.4337761 -1.3871296
## X144 -0.7818063 -0.7524132 -0.7524132 1.3459950 1.4337761 -1.3871296
## X145 -0.7818063 -0.7524132 -0.7524132 -0.7421636 1.4337761 -1.3871296
## X146 -0.7818063 -0.7524132 -0.7524132 1.3459950 1.4337761 -1.3871296
## X147 -0.7818063 -0.7524132 -0.7524132 1.3459950 1.4337761 -1.3871296
## X148 -0.7818063 -0.7524132 -0.7524132 1.3459950 -0.6967256 -1.3871296
## X149 -0.7818063 -0.7524132 -0.7524132 1.3459950 -0.6967256 -1.3871296
## X150 -0.7818063 -0.7524132 -0.7524132 1.3459950 1.4337761 -1.3871296
## X151 -0.7818063 -0.7524132 -0.7524132 1.3459950 -0.6967256 -1.3871296
## X152 1.2777443 1.3276594 -0.7524132 1.3459950 -0.6967256 -1.3871296
## X153 -0.7818063 -0.7524132 -0.7524132 1.3459950 1.4337761 -1.3871296
## X154 -0.7818063 -0.7524132 -0.7524132 1.3459950 1.4337761 -1.3871296
## X155 -0.7818063 -0.7524132 -0.7524132 1.3459950 1.4337761 -1.3871296
## X156 -0.7818063 -0.7524132 -0.7524132 1.3459950 -0.6967256 -1.3871296
## X157 -0.7818063 -0.7524132 -0.7524132 1.3459950 1.4337761 -1.3871296
## X158 -0.7818063 -0.7524132 -0.7524132 1.3459950 1.4337761 -1.3871296
## X159 -0.7818063 -0.7524132 -0.7524132 1.3459950 1.4337761 -1.3871296
## X160 -0.7818063 -0.7524132 -0.7524132 -0.7421636 -0.6967256 0.7201551
## X161 -0.7818063 -0.7524132 -0.7524132 -0.7421636 -0.6967256 -1.3871296
## X162 -0.7818063 -0.7524132 1.3276594 1.3459950 1.4337761 0.7201551
## X163 -0.7818063 -0.7524132 1.3276594 1.3459950 1.4337761 -1.3871296
## X164 -0.7818063 -0.7524132 1.3276594 1.3459950 1.4337761 0.7201551
## X165 -0.7818063 -0.7524132 -0.7524132 -0.7421636 1.4337761 -1.3871296
## X166 -0.7818063 -0.7524132 -0.7524132 -0.7421636 -0.6967256 -1.3871296
## X167 -0.7818063 -0.7524132 -0.7524132 -0.7421636 -0.6967256 -1.3871296
## X168 1.2777443 1.3276594 1.3276594 1.3459950 -0.6967256 -1.3871296
## X169 -0.7818063 -0.7524132 1.3276594 1.3459950 -0.6967256 0.7201551
## X170 1.2777443 1.3276594 1.3276594 1.3459950 1.4337761 0.7201551
## X171 -0.7818063 -0.7524132 1.3276594 1.3459950 1.4337761 0.7201551
## X172 -0.7818063 -0.7524132 -0.7524132 -0.7421636 -0.6967256 -1.3871296
## X173 1.2777443 1.3276594 -0.7524132 1.3459950 1.4337761 0.7201551
## X174 1.2777443 1.3276594 -0.7524132 -0.7421636 1.4337761 0.7201551
## X175 -0.7818063 -0.7524132 -0.7524132 1.3459950 -0.6967256 -1.3871296
## X176 1.2777443 1.3276594 1.3276594 1.3459950 -0.6967256 -1.3871296
## X177 -0.7818063 -0.7524132 1.3276594 1.3459950 -0.6967256 0.7201551
## X178 -0.7818063 -0.7524132 -0.7524132 1.3459950 1.4337761 0.7201551
## X179 -0.7818063 -0.7524132 1.3276594 1.3459950 1.4337761 0.7201551
## X180 -0.7818063 -0.7524132 -0.7524132 1.3459950 1.4337761 0.7201551
## X181 1.2777443 1.3276594 1.3276594 1.3459950 -0.6967256 -1.3871296
## X182 -0.7818063 -0.7524132 1.3276594 1.3459950 1.4337761 0.7201551
## X183 -0.7818063 -0.7524132 -0.7524132 -0.7421636 -0.6967256 -1.3871296
## X184 -0.7818063 -0.7524132 -0.7524132 1.3459950 1.4337761 0.7201551
## X185 -0.7818063 -0.7524132 1.3276594 -0.7421636 -0.6967256 0.7201551
## X186 -0.7818063 1.3276594 -0.7524132 -0.7421636 -0.6967256 0.7201551
## X187 -0.7818063 -0.7524132 -0.7524132 -0.7421636 -0.6967256 -1.3871296
## X188 -0.7818063 1.3276594 1.3276594 -0.7421636 -0.6967256 -1.3871296
## X189 1.2777443 1.3276594 -0.7524132 1.3459950 -0.6967256 -1.3871296
## X190 -0.7818063 -0.7524132 1.3276594 1.3459950 1.4337761 0.7201551
## X191 -0.7818063 -0.7524132 1.3276594 1.3459950 1.4337761 0.7201551
## X192 1.2777443 1.3276594 -0.7524132 -0.7421636 -0.6967256 0.7201551
## X193 -0.7818063 -0.7524132 -0.7524132 -0.7421636 -0.6967256 -1.3871296
## X194 -0.7818063 -0.7524132 1.3276594 1.3459950 1.4337761 0.7201551
## X195 -0.7818063 -0.7524132 1.3276594 -0.7421636 1.4337761 -1.3871296
## X196 -0.7818063 -0.7524132 1.3276594 1.3459950 1.4337761 0.7201551
## X197 1.2777443 -0.7524132 1.3276594 1.3459950 1.4337761 0.7201551
## X198 1.2777443 1.3276594 1.3276594 -0.7421636 -0.6967256 0.7201551
## X199 -0.7818063 -0.7524132 -0.7524132 1.3459950 -0.6967256 -1.3871296
## X200 -0.7818063 -0.7524132 -0.7524132 -0.7421636 -0.6967256 -1.3871296
## X201 -0.7818063 -0.7524132 -0.7524132 -0.7421636 -0.6967256 -1.3871296
## X202 -0.7818063 -0.7524132 -0.7524132 1.3459950 1.4337761 0.7201551
## X203 -0.7818063 -0.7524132 1.3276594 1.3459950 1.4337761 0.7201551
## X204 -0.7818063 -0.7524132 1.3276594 1.3459950 1.4337761 0.7201551
## X205 -0.7818063 -0.7524132 -0.7524132 1.3459950 1.4337761 0.7201551
## X206 -0.7818063 -0.7524132 -0.7524132 1.3459950 1.4337761 -1.3871296
## X207 -0.7818063 -0.7524132 1.3276594 1.3459950 -0.6967256 0.7201551
## X208 -0.7818063 -0.7524132 -0.7524132 -0.7421636 -0.6967256 -1.3871296
## X209 -0.7818063 -0.7524132 -0.7524132 1.3459950 -0.6967256 -1.3871296
## X210 -0.7818063 -0.7524132 -0.7524132 1.3459950 -0.6967256 -1.3871296
## X211 -0.7818063 -0.7524132 -0.7524132 -0.7421636 1.4337761 -1.3871296
## X212 -0.7818063 -0.7524132 -0.7524132 1.3459950 1.4337761 0.7201551
## X213 -0.7818063 -0.7524132 -0.7524132 -0.7421636 1.4337761 -1.3871296
## X214 -0.7818063 -0.7524132 1.3276594 1.3459950 1.4337761 0.7201551
## X215 -0.7818063 -0.7524132 -0.7524132 1.3459950 1.4337761 -1.3871296
## X216 -0.7818063 -0.7524132 -0.7524132 1.3459950 1.4337761 -1.3871296
## X217 -0.7818063 -0.7524132 -0.7524132 1.3459950 1.4337761 -1.3871296
## X218 -0.7818063 -0.7524132 1.3276594 1.3459950 1.4337761 0.7201551
## X219 -0.7818063 -0.7524132 -0.7524132 -0.7421636 -0.6967256 0.7201551
## X220 -0.7818063 -0.7524132 -0.7524132 1.3459950 1.4337761 -1.3871296
## X221 -0.7818063 -0.7524132 -0.7524132 -0.7421636 -0.6967256 0.7201551
## X222 -0.7818063 -0.7524132 -0.7524132 1.3459950 1.4337761 -1.3871296
## X223 -0.7818063 -0.7524132 -0.7524132 1.3459950 -0.6967256 -1.3871296
## X224 -0.7818063 -0.7524132 -0.7524132 1.3459950 1.4337761 -1.3871296
## X225 -0.7818063 -0.7524132 -0.7524132 1.3459950 -0.6967256 -1.3871296
## X226 -0.7818063 -0.7524132 -0.7524132 1.3459950 -0.6967256 -1.3871296
## X227 -0.7818063 -0.7524132 -0.7524132 1.3459950 1.4337761 -1.3871296
## X228 -0.7818063 -0.7524132 -0.7524132 1.3459950 1.4337761 -1.3871296
## X229 -0.7818063 -0.7524132 -0.7524132 1.3459950 -0.6967256 -1.3871296
## X230 -0.7818063 -0.7524132 -0.7524132 1.3459950 -0.6967256 -1.3871296
## X231 -0.7818063 -0.7524132 -0.7524132 1.3459950 1.4337761 -1.3871296
## X232 -0.7818063 -0.7524132 -0.7524132 1.3459950 1.4337761 -1.3871296
## X233 1.2777443 1.3276594 -0.7524132 1.3459950 1.4337761 0.7201551
## X234 -0.7818063 -0.7524132 1.3276594 1.3459950 1.4337761 0.7201551
## X235 -0.7818063 -0.7524132 -0.7524132 1.3459950 1.4337761 -1.3871296
## X236 1.2777443 -0.7524132 1.3276594 1.3459950 1.4337761 0.7201551
## X237 -0.7818063 -0.7524132 -0.7524132 1.3459950 -0.6967256 -1.3871296
## X238 -0.7818063 -0.7524132 -0.7524132 1.3459950 1.4337761 -1.3871296
## X239 -0.7818063 -0.7524132 -0.7524132 -0.7421636 1.4337761 0.7201551
## X240 1.2777443 1.3276594 1.3276594 1.3459950 1.4337761 0.7201551
## X241 -0.7818063 -0.7524132 1.3276594 -0.7421636 -0.6967256 -1.3871296
## X242 -0.7818063 -0.7524132 -0.7524132 -0.7421636 -0.6967256 -1.3871296
## X243 1.2777443 -0.7524132 -0.7524132 -0.7421636 -0.6967256 0.7201551
## X244 1.2777443 1.3276594 1.3276594 1.3459950 -0.6967256 0.7201551
## X245 -0.7818063 -0.7524132 1.3276594 -0.7421636 1.4337761 0.7201551
## X246 1.2777443 1.3276594 -0.7524132 -0.7421636 1.4337761 0.7201551
## X247 1.2777443 1.3276594 -0.7524132 -0.7421636 -0.6967256 0.7201551
## X248 -0.7818063 -0.7524132 1.3276594 -0.7421636 -0.6967256 0.7201551
## X249 -0.7818063 -0.7524132 -0.7524132 -0.7421636 -0.6967256 -1.3871296
## X250 -0.7818063 -0.7524132 -0.7524132 -0.7421636 -0.6967256 0.7201551
## X251 -0.7818063 -0.7524132 -0.7524132 -0.7421636 -0.6967256 -1.3871296
## X252 1.2777443 1.3276594 -0.7524132 -0.7421636 -0.6967256 -1.3871296
## X253 -0.7818063 -0.7524132 -0.7524132 -0.7421636 -0.6967256 -1.3871296
## X254 -0.7818063 -0.7524132 -0.7524132 1.3459950 -0.6967256 0.7201551
## X255 1.2777443 1.3276594 -0.7524132 1.3459950 1.4337761 0.7201551
## X256 1.2777443 1.3276594 -0.7524132 -0.7421636 -0.6967256 0.7201551
## X257 1.2777443 1.3276594 -0.7524132 -0.7421636 -0.6967256 0.7201551
## X258 -0.7818063 -0.7524132 1.3276594 -0.7421636 -0.6967256 -1.3871296
## X259 -0.7818063 -0.7524132 -0.7524132 -0.7421636 -0.6967256 -1.3871296
## X260 -0.7818063 -0.7524132 -0.7524132 -0.7421636 -0.6967256 0.7201551
## X261 1.2777443 1.3276594 1.3276594 1.3459950 1.4337761 0.7201551
## X262 -0.7818063 -0.7524132 -0.7524132 1.3459950 -0.6967256 -1.3871296
## X263 -0.7818063 -0.7524132 -0.7524132 -0.7421636 -0.6967256 -1.3871296
## X264 1.2777443 -0.7524132 -0.7524132 -0.7421636 -0.6967256 -1.3871296
## X265 -0.7818063 -0.7524132 1.3276594 -0.7421636 -0.6967256 -1.3871296
## X266 -0.7818063 -0.7524132 1.3276594 -0.7421636 -0.6967256 -1.3871296
## X267 1.2777443 1.3276594 -0.7524132 -0.7421636 -0.6967256 -1.3871296
## X268 -0.7818063 -0.7524132 1.3276594 -0.7421636 -0.6967256 0.7201551
## X269 -0.7818063 1.3276594 1.3276594 -0.7421636 -0.6967256 0.7201551
## X270 -0.7818063 -0.7524132 -0.7524132 -0.7421636 -0.6967256 0.7201551
## X271 -0.7818063 -0.7524132 -0.7524132 -0.7421636 1.4337761 0.7201551
## X272 1.2777443 1.3276594 1.3276594 1.3459950 1.4337761 0.7201551
## X273 -0.7818063 -0.7524132 -0.7524132 -0.7421636 -0.6967256 -1.3871296
## X274 1.2777443 1.3276594 1.3276594 1.3459950 1.4337761 0.7201551
## X275 -0.7818063 -0.7524132 -0.7524132 -0.7421636 -0.6967256 0.7201551
## X276 1.2777443 1.3276594 -0.7524132 1.3459950 1.4337761 0.7201551
## X277 1.2777443 1.3276594 -0.7524132 1.3459950 -0.6967256 0.7201551
## X278 1.2777443 1.3276594 -0.7524132 -0.7421636 -0.6967256 -1.3871296
## X279 1.2777443 -0.7524132 -0.7524132 -0.7421636 -0.6967256 -1.3871296
## X280 -0.7818063 -0.7524132 1.3276594 -0.7421636 1.4337761 0.7201551
## X281 -0.7818063 -0.7524132 1.3276594 -0.7421636 1.4337761 -1.3871296
## X282 1.2777443 1.3276594 -0.7524132 1.3459950 1.4337761 0.7201551
## X283 -0.7818063 -0.7524132 1.3276594 -0.7421636 -0.6967256 -1.3871296
## X284 1.2777443 1.3276594 1.3276594 1.3459950 1.4337761 0.7201551
## X285 1.2777443 1.3276594 -0.7524132 -0.7421636 -0.6967256 0.7201551
## X286 1.2777443 1.3276594 -0.7524132 1.3459950 -0.6967256 0.7201551
## X287 1.2777443 1.3276594 1.3276594 1.3459950 1.4337761 0.7201551
## X288 1.2777443 1.3276594 -0.7524132 1.3459950 1.4337761 0.7201551
## X289 1.2777443 1.3276594 1.3276594 1.3459950 1.4337761 0.7201551
## X290 1.2777443 1.3276594 -0.7524132 -0.7421636 1.4337761 0.7201551
## X291 -0.7818063 -0.7524132 1.3276594 -0.7421636 -0.6967256 -1.3871296
## X292 1.2777443 1.3276594 1.3276594 1.3459950 1.4337761 0.7201551
## X293 -0.7818063 -0.7524132 -0.7524132 -0.7421636 -0.6967256 0.7201551
## X294 -0.7818063 -0.7524132 -0.7524132 -0.7421636 -0.6967256 0.7201551
## X295 1.2777443 1.3276594 1.3276594 1.3459950 -0.6967256 0.7201551
## X296 1.2777443 1.3276594 1.3276594 1.3459950 -0.6967256 0.7201551
## X297 -0.7818063 -0.7524132 -0.7524132 -0.7421636 -0.6967256 0.7201551
## X298 1.2777443 1.3276594 -0.7524132 -0.7421636 1.4337761 0.7201551
## X299 1.2777443 1.3276594 -0.7524132 1.3459950 1.4337761 0.7201551
## X300 -0.7818063 -0.7524132 -0.7524132 -0.7421636 -0.6967256 0.7201551
## X301 1.2777443 1.3276594 1.3276594 -0.7421636 -0.6967256 -1.3871296
## X302 1.2777443 1.3276594 1.3276594 -0.7421636 -0.6967256 0.7201551
## X303 1.2777443 1.3276594 1.3276594 1.3459950 -0.6967256 -1.3871296
## X304 1.2777443 1.3276594 -0.7524132 1.3459950 1.4337761 0.7201551
## X305 1.2777443 1.3276594 -0.7524132 -0.7421636 -0.6967256 0.7201551
## X306 -0.7818063 -0.7524132 -0.7524132 -0.7421636 1.4337761 -1.3871296
## X307 1.2777443 1.3276594 -0.7524132 1.3459950 -0.6967256 0.7201551
## X308 -0.7818063 -0.7524132 -0.7524132 1.3459950 1.4337761 0.7201551
## X309 1.2777443 1.3276594 -0.7524132 1.3459950 -0.6967256 0.7201551
## X310 -0.7818063 -0.7524132 1.3276594 1.3459950 1.4337761 0.7201551
## X311 -0.7818063 -0.7524132 -0.7524132 -0.7421636 -0.6967256 -1.3871296
## X312 1.2777443 1.3276594 1.3276594 1.3459950 1.4337761 0.7201551
## X313 -0.7818063 1.3276594 1.3276594 -0.7421636 -0.6967256 -1.3871296
## X314 -0.7818063 -0.7524132 -0.7524132 -0.7421636 -0.6967256 -1.3871296
## X315 -0.7818063 -0.7524132 1.3276594 -0.7421636 -0.6967256 0.7201551
## X316 -0.7818063 -0.7524132 -0.7524132 -0.7421636 -0.6967256 -1.3871296
## X317 -0.7818063 -0.7524132 -0.7524132 -0.7421636 -0.6967256 -1.3871296
## X318 1.2777443 1.3276594 1.3276594 1.3459950 1.4337761 0.7201551
## X319 1.2777443 1.3276594 -0.7524132 -0.7421636 1.4337761 0.7201551
## X320 1.2777443 1.3276594 1.3276594 1.3459950 -0.6967256 -1.3871296
## X321 -0.7818063 -0.7524132 -0.7524132 -0.7421636 1.4337761 0.7201551
## X322 1.2777443 1.3276594 1.3276594 -0.7421636 1.4337761 0.7201551
## X323 1.2777443 -0.7524132 -0.7524132 -0.7421636 -0.6967256 -1.3871296
## X324 -0.7818063 -0.7524132 1.3276594 -0.7421636 -0.6967256 -1.3871296
## X325 -0.7818063 -0.7524132 1.3276594 -0.7421636 1.4337761 -1.3871296
## X326 -0.7818063 -0.7524132 -0.7524132 -0.7421636 -0.6967256 -1.3871296
## X327 -0.7818063 -0.7524132 1.3276594 -0.7421636 1.4337761 -1.3871296
## X328 -0.7818063 -0.7524132 -0.7524132 1.3459950 -0.6967256 0.7201551
## X329 -0.7818063 -0.7524132 -0.7524132 -0.7421636 -0.6967256 -1.3871296
## X330 1.2777443 1.3276594 -0.7524132 -0.7421636 1.4337761 -1.3871296
## X331 1.2777443 1.3276594 1.3276594 1.3459950 1.4337761 0.7201551
## X332 1.2777443 1.3276594 -0.7524132 -0.7421636 -0.6967256 0.7201551
## X333 1.2777443 1.3276594 1.3276594 1.3459950 1.4337761 0.7201551
## X334 1.2777443 1.3276594 -0.7524132 1.3459950 1.4337761 0.7201551
## X335 1.2777443 1.3276594 -0.7524132 -0.7421636 -0.6967256 0.7201551
## X336 -0.7818063 -0.7524132 -0.7524132 -0.7421636 -0.6967256 -1.3871296
## X337 1.2777443 1.3276594 -0.7524132 -0.7421636 -0.6967256 0.7201551
## X338 1.2777443 1.3276594 -0.7524132 -0.7421636 -0.6967256 0.7201551
## X339 1.2777443 1.3276594 -0.7524132 -0.7421636 1.4337761 0.7201551
## X340 -0.7818063 -0.7524132 -0.7524132 1.3459950 1.4337761 0.7201551
## X341 -0.7818063 -0.7524132 1.3276594 -0.7421636 -0.6967256 0.7201551
## X342 -0.7818063 -0.7524132 1.3276594 -0.7421636 1.4337761 -1.3871296
## X343 1.2777443 1.3276594 -0.7524132 1.3459950 -0.6967256 0.7201551
## X344 1.2777443 1.3276594 1.3276594 1.3459950 1.4337761 0.7201551
## X345 1.2777443 -0.7524132 -0.7524132 -0.7421636 -0.6967256 -1.3871296
## X346 1.2777443 1.3276594 1.3276594 1.3459950 1.4337761 0.7201551
## X347 -0.7818063 -0.7524132 1.3276594 1.3459950 1.4337761 0.7201551
## X348 1.2777443 1.3276594 -0.7524132 1.3459950 -0.6967256 0.7201551
## X349 -0.7818063 -0.7524132 -0.7524132 -0.7421636 -0.6967256 -1.3871296
## X350 1.2777443 1.3276594 -0.7524132 1.3459950 1.4337761 0.7201551
## X351 -0.7818063 -0.7524132 1.3276594 -0.7421636 -0.6967256 0.7201551
## X352 1.2777443 1.3276594 1.3276594 -0.7421636 -0.6967256 -1.3871296
## X353 1.2777443 1.3276594 1.3276594 -0.7421636 -0.6967256 0.7201551
## X354 -0.7818063 1.3276594 1.3276594 -0.7421636 -0.6967256 0.7201551
## X355 -0.7818063 -0.7524132 -0.7524132 -0.7421636 -0.6967256 0.7201551
## X356 -0.7818063 -0.7524132 1.3276594 -0.7421636 -0.6967256 -1.3871296
## X357 -0.7818063 -0.7524132 1.3276594 1.3459950 1.4337761 0.7201551
## X358 -0.7818063 -0.7524132 -0.7524132 -0.7421636 -0.6967256 0.7201551
## X359 1.2777443 1.3276594 1.3276594 1.3459950 1.4337761 0.7201551
## X360 -0.7818063 -0.7524132 1.3276594 1.3459950 1.4337761 0.7201551
## X361 -0.7818063 -0.7524132 -0.7524132 -0.7421636 -0.6967256 0.7201551
## X362 -0.7818063 -0.7524132 -0.7524132 -0.7421636 1.4337761 -1.3871296
## X363 1.2777443 1.3276594 -0.7524132 -0.7421636 -0.6967256 0.7201551
## X364 -0.7818063 -0.7524132 -0.7524132 -0.7421636 -0.6967256 -1.3871296
## X365 1.2777443 1.3276594 1.3276594 -0.7421636 1.4337761 0.7201551
## X366 -0.7818063 -0.7524132 -0.7524132 -0.7421636 -0.6967256 -1.3871296
## X367 -0.7818063 -0.7524132 -0.7524132 -0.7421636 1.4337761 -1.3871296
## X368 -0.7818063 -0.7524132 1.3276594 -0.7421636 -0.6967256 -1.3871296
## X369 1.2777443 1.3276594 1.3276594 -0.7421636 -0.6967256 0.7201551
## X370 1.2777443 1.3276594 -0.7524132 1.3459950 1.4337761 0.7201551
## X371 -0.7818063 -0.7524132 -0.7524132 -0.7421636 1.4337761 -1.3871296
## X372 1.2777443 1.3276594 -0.7524132 -0.7421636 1.4337761 0.7201551
## X373 -0.7818063 -0.7524132 -0.7524132 -0.7421636 -0.6967256 -1.3871296
## X374 1.2777443 1.3276594 -0.7524132 1.3459950 1.4337761 0.7201551
## X375 1.2777443 1.3276594 1.3276594 1.3459950 -0.6967256 0.7201551
## X376 -0.7818063 -0.7524132 1.3276594 1.3459950 1.4337761 0.7201551
## X377 -0.7818063 -0.7524132 1.3276594 1.3459950 1.4337761 0.7201551
## X378 1.2777443 1.3276594 -0.7524132 -0.7421636 -0.6967256 -1.3871296
## X379 -0.7818063 -0.7524132 -0.7524132 -0.7421636 -0.6967256 -1.3871296
## X380 -0.7818063 -0.7524132 -0.7524132 -0.7421636 -0.6967256 -1.3871296
## X381 -0.7818063 -0.7524132 -0.7524132 -0.7421636 1.4337761 0.7201551
## X382 1.2777443 1.3276594 -0.7524132 1.3459950 -0.6967256 0.7201551
## X383 -0.7818063 -0.7524132 1.3276594 1.3459950 1.4337761 0.7201551
## X384 -0.7818063 -0.7524132 1.3276594 1.3459950 1.4337761 0.7201551
## X385 -0.7818063 -0.7524132 -0.7524132 -0.7421636 -0.6967256 0.7201551
## X386 1.2777443 1.3276594 -0.7524132 -0.7421636 -0.6967256 0.7201551
## X387 1.2777443 1.3276594 -0.7524132 1.3459950 1.4337761 0.7201551
## X388 1.2777443 1.3276594 1.3276594 1.3459950 1.4337761 0.7201551
## X389 1.2777443 -0.7524132 -0.7524132 -0.7421636 -0.6967256 0.7201551
## X390 1.2777443 1.3276594 -0.7524132 1.3459950 1.4337761 0.7201551
## X391 -0.7818063 -0.7524132 1.3276594 1.3459950 1.4337761 0.7201551
## X392 -0.7818063 1.3276594 1.3276594 -0.7421636 -0.6967256 0.7201551
## X393 -0.7818063 -0.7524132 1.3276594 -0.7421636 -0.6967256 -1.3871296
## X394 -0.7818063 -0.7524132 -0.7524132 -0.7421636 -0.6967256 -1.3871296
## X395 1.2777443 1.3276594 -0.7524132 -0.7421636 -0.6967256 0.7201551
## X396 -0.7818063 -0.7524132 1.3276594 -0.7421636 -0.6967256 -1.3871296
## X397 -0.7818063 -0.7524132 -0.7524132 -0.7421636 -0.6967256 0.7201551
## X398 -0.7818063 -0.7524132 1.3276594 1.3459950 1.4337761 0.7201551
## X399 -0.7818063 -0.7524132 -0.7524132 -0.7421636 -0.6967256 -1.3871296
## X400 1.2777443 1.3276594 1.3276594 -0.7421636 -0.6967256 0.7201551
## X401 1.2777443 1.3276594 -0.7524132 -0.7421636 -0.6967256 -1.3871296
## X402 1.2777443 1.3276594 -0.7524132 -0.7421636 -0.6967256 0.7201551
## X403 -0.7818063 -0.7524132 -0.7524132 -0.7421636 1.4337761 0.7201551
## X404 -0.7818063 -0.7524132 1.3276594 -0.7421636 -0.6967256 0.7201551
## X405 1.2777443 1.3276594 1.3276594 1.3459950 1.4337761 0.7201551
## X406 -0.7818063 -0.7524132 -0.7524132 -0.7421636 -0.6967256 0.7201551
## X407 1.2777443 1.3276594 -0.7524132 -0.7421636 -0.6967256 0.7201551
## X408 -0.7818063 -0.7524132 1.3276594 -0.7421636 -0.6967256 -1.3871296
## X409 1.2777443 1.3276594 -0.7524132 1.3459950 1.4337761 0.7201551
## X410 1.2777443 1.3276594 -0.7524132 1.3459950 1.4337761 0.7201551
## X411 -0.7818063 -0.7524132 -0.7524132 1.3459950 1.4337761 0.7201551
## X412 1.2777443 1.3276594 -0.7524132 -0.7421636 -0.6967256 0.7201551
## X413 1.2777443 1.3276594 -0.7524132 -0.7421636 -0.6967256 -1.3871296
## X414 -0.7818063 1.3276594 -0.7524132 -0.7421636 -0.6967256 -1.3871296
## X415 -0.7818063 -0.7524132 1.3276594 -0.7421636 -0.6967256 -1.3871296
## X416 -0.7818063 -0.7524132 -0.7524132 -0.7421636 -0.6967256 -1.3871296
## X417 1.2777443 1.3276594 -0.7524132 -0.7421636 -0.6967256 0.7201551
## X418 -0.7818063 -0.7524132 1.3276594 -0.7421636 -0.6967256 0.7201551
## X419 -0.7818063 -0.7524132 -0.7524132 -0.7421636 -0.6967256 0.7201551
## X420 1.2777443 1.3276594 1.3276594 -0.7421636 1.4337761 -1.3871296
## X421 1.2777443 1.3276594 -0.7524132 -0.7421636 1.4337761 0.7201551
## X422 -0.7818063 -0.7524132 -0.7524132 -0.7421636 1.4337761 0.7201551
## X423 -0.7818063 -0.7524132 1.3276594 1.3459950 1.4337761 0.7201551
## X424 1.2777443 1.3276594 -0.7524132 1.3459950 1.4337761 0.7201551
## X425 -0.7818063 -0.7524132 1.3276594 1.3459950 1.4337761 0.7201551
## X426 -0.7818063 -0.7524132 -0.7524132 1.3459950 1.4337761 0.7201551
## X427 -0.7818063 -0.7524132 -0.7524132 -0.7421636 -0.6967256 -1.3871296
## X428 -0.7818063 -0.7524132 -0.7524132 -0.7421636 -0.6967256 -1.3871296
## X429 -0.7818063 -0.7524132 -0.7524132 -0.7421636 -0.6967256 -1.3871296
## X430 1.2777443 1.3276594 -0.7524132 -0.7421636 -0.6967256 0.7201551
## X431 -0.7818063 -0.7524132 -0.7524132 -0.7421636 -0.6967256 -1.3871296
## X432 -0.7818063 -0.7524132 -0.7524132 -0.7421636 1.4337761 0.7201551
## X433 -0.7818063 -0.7524132 -0.7524132 -0.7421636 -0.6967256 -1.3871296
## X434 1.2777443 1.3276594 -0.7524132 -0.7421636 1.4337761 0.7201551
## X435 -0.7818063 -0.7524132 -0.7524132 -0.7421636 -0.6967256 0.7201551
## X436 -0.7818063 -0.7524132 -0.7524132 -0.7421636 -0.6967256 -1.3871296
## X437 1.2777443 1.3276594 1.3276594 1.3459950 1.4337761 0.7201551
## X438 -0.7818063 -0.7524132 1.3276594 1.3459950 1.4337761 0.7201551
## X439 -0.7818063 -0.7524132 1.3276594 -0.7421636 -0.6967256 -1.3871296
## X440 -0.7818063 -0.7524132 -0.7524132 -0.7421636 -0.6967256 -1.3871296
## X441 1.2777443 1.3276594 -0.7524132 1.3459950 1.4337761 0.7201551
## X442 1.2777443 1.3276594 -0.7524132 1.3459950 -0.6967256 0.7201551
## X443 1.2777443 1.3276594 -0.7524132 1.3459950 1.4337761 0.7201551
## X444 1.2777443 1.3276594 -0.7524132 -0.7421636 -0.6967256 0.7201551
## X445 1.2777443 1.3276594 1.3276594 -0.7421636 -0.6967256 0.7201551
## X446 1.2777443 1.3276594 1.3276594 -0.7421636 -0.6967256 0.7201551
## X447 -0.7818063 -0.7524132 1.3276594 -0.7421636 -0.6967256 0.7201551
## X448 1.2777443 1.3276594 1.3276594 1.3459950 -0.6967256 0.7201551
## X449 1.2777443 1.3276594 -0.7524132 1.3459950 -0.6967256 0.7201551
## X450 1.2777443 -0.7524132 -0.7524132 -0.7421636 1.4337761 -1.3871296
## X451 -0.7818063 -0.7524132 -0.7524132 -0.7421636 -0.6967256 0.7201551
## X452 -0.7818063 -0.7524132 -0.7524132 1.3459950 1.4337761 0.7201551
## X453 -0.7818063 -0.7524132 -0.7524132 1.3459950 -0.6967256 0.7201551
## X454 -0.7818063 -0.7524132 -0.7524132 1.3459950 1.4337761 0.7201551
## FP073 FP074 FP075 FP076 FP077 FP078
## X1 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X2 1.4904330 1.4406544 1.3969116 1.4303578 1.4545809 1.5126959
## X3 1.4904330 -0.6933991 -0.7151122 -0.6983906 -0.6867603 -0.6603763
## X4 -0.6702404 -0.6933991 -0.7151122 -0.6983906 1.4545809 -0.6603763
## X5 -0.6702404 -0.6933991 1.3969116 -0.6983906 -0.6867603 -0.6603763
## X6 -0.6702404 -0.6933991 1.3969116 -0.6983906 -0.6867603 -0.6603763
## X7 -0.6702404 -0.6933991 1.3969116 1.4303578 -0.6867603 -0.6603763
## X8 -0.6702404 -0.6933991 -0.7151122 -0.6983906 1.4545809 -0.6603763
## X9 1.4904330 1.4406544 -0.7151122 1.4303578 1.4545809 1.5126959
## X10 -0.6702404 -0.6933991 1.3969116 1.4303578 1.4545809 -0.6603763
## X11 -0.6702404 1.4406544 -0.7151122 -0.6983906 -0.6867603 1.5126959
## X12 1.4904330 1.4406544 -0.7151122 1.4303578 1.4545809 1.5126959
## X13 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X14 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X15 -0.6702404 -0.6933991 -0.7151122 -0.6983906 -0.6867603 -0.6603763
## X16 1.4904330 1.4406544 -0.7151122 1.4303578 -0.6867603 1.5126959
## X17 -0.6702404 -0.6933991 1.3969116 -0.6983906 1.4545809 1.5126959
## X18 1.4904330 -0.6933991 1.3969116 1.4303578 1.4545809 -0.6603763
## X19 1.4904330 1.4406544 -0.7151122 1.4303578 1.4545809 1.5126959
## X20 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X21 1.4904330 1.4406544 -0.7151122 1.4303578 -0.6867603 1.5126959
## X22 -0.6702404 -0.6933991 1.3969116 1.4303578 1.4545809 -0.6603763
## X23 -0.6702404 -0.6933991 1.3969116 -0.6983906 1.4545809 -0.6603763
## X24 -0.6702404 -0.6933991 1.3969116 -0.6983906 1.4545809 -0.6603763
## X25 -0.6702404 1.4406544 1.3969116 -0.6983906 1.4545809 -0.6603763
## X26 -0.6702404 -0.6933991 1.3969116 1.4303578 1.4545809 -0.6603763
## X27 -0.6702404 1.4406544 1.3969116 1.4303578 -0.6867603 1.5126959
## X28 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X29 -0.6702404 1.4406544 1.3969116 -0.6983906 -0.6867603 1.5126959
## X30 -0.6702404 -0.6933991 -0.7151122 -0.6983906 -0.6867603 -0.6603763
## X31 -0.6702404 -0.6933991 -0.7151122 -0.6983906 1.4545809 -0.6603763
## X32 -0.6702404 -0.6933991 -0.7151122 -0.6983906 -0.6867603 -0.6603763
## X33 -0.6702404 -0.6933991 -0.7151122 -0.6983906 1.4545809 -0.6603763
## X34 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X35 -0.6702404 1.4406544 -0.7151122 1.4303578 -0.6867603 1.5126959
## X36 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X37 -0.6702404 -0.6933991 -0.7151122 -0.6983906 1.4545809 -0.6603763
## X38 1.4904330 1.4406544 -0.7151122 1.4303578 1.4545809 1.5126959
## X39 1.4904330 1.4406544 -0.7151122 1.4303578 -0.6867603 1.5126959
## X40 1.4904330 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X41 1.4904330 1.4406544 -0.7151122 1.4303578 1.4545809 1.5126959
## X42 -0.6702404 -0.6933991 1.3969116 -0.6983906 -0.6867603 -0.6603763
## X43 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X44 -0.6702404 -0.6933991 1.3969116 1.4303578 1.4545809 -0.6603763
## X45 -0.6702404 -0.6933991 1.3969116 -0.6983906 -0.6867603 -0.6603763
## X46 -0.6702404 1.4406544 -0.7151122 1.4303578 -0.6867603 1.5126959
## X47 -0.6702404 -0.6933991 -0.7151122 -0.6983906 1.4545809 -0.6603763
## X48 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X49 1.4904330 1.4406544 -0.7151122 1.4303578 -0.6867603 1.5126959
## X50 1.4904330 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X51 -0.6702404 -0.6933991 -0.7151122 -0.6983906 -0.6867603 -0.6603763
## X52 -0.6702404 -0.6933991 -0.7151122 -0.6983906 1.4545809 -0.6603763
## X53 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X54 -0.6702404 -0.6933991 1.3969116 -0.6983906 -0.6867603 -0.6603763
## X55 -0.6702404 -0.6933991 -0.7151122 -0.6983906 -0.6867603 -0.6603763
## X56 1.4904330 1.4406544 -0.7151122 1.4303578 1.4545809 1.5126959
## X57 -0.6702404 -0.6933991 -0.7151122 -0.6983906 1.4545809 -0.6603763
## X58 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X59 -0.6702404 1.4406544 1.3969116 1.4303578 -0.6867603 1.5126959
## X60 1.4904330 1.4406544 -0.7151122 1.4303578 -0.6867603 1.5126959
## X61 1.4904330 -0.6933991 -0.7151122 -0.6983906 1.4545809 -0.6603763
## X62 -0.6702404 -0.6933991 -0.7151122 -0.6983906 1.4545809 -0.6603763
## X63 -0.6702404 -0.6933991 -0.7151122 -0.6983906 -0.6867603 -0.6603763
## X64 -0.6702404 -0.6933991 -0.7151122 1.4303578 1.4545809 -0.6603763
## X65 -0.6702404 -0.6933991 1.3969116 -0.6983906 -0.6867603 -0.6603763
## X66 1.4904330 -0.6933991 -0.7151122 -0.6983906 1.4545809 -0.6603763
## X67 -0.6702404 -0.6933991 1.3969116 1.4303578 1.4545809 -0.6603763
## X68 1.4904330 1.4406544 -0.7151122 1.4303578 1.4545809 1.5126959
## X69 -0.6702404 -0.6933991 -0.7151122 -0.6983906 1.4545809 -0.6603763
## X70 -0.6702404 -0.6933991 1.3969116 1.4303578 1.4545809 -0.6603763
## X71 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X72 -0.6702404 -0.6933991 -0.7151122 -0.6983906 1.4545809 -0.6603763
## X73 -0.6702404 1.4406544 -0.7151122 1.4303578 -0.6867603 1.5126959
## X74 -0.6702404 -0.6933991 1.3969116 -0.6983906 -0.6867603 -0.6603763
## X75 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X76 1.4904330 1.4406544 -0.7151122 1.4303578 1.4545809 1.5126959
## X77 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X78 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X79 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X80 1.4904330 1.4406544 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X81 -0.6702404 1.4406544 -0.7151122 1.4303578 1.4545809 1.5126959
## X82 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X83 -0.6702404 -0.6933991 1.3969116 1.4303578 1.4545809 -0.6603763
## X84 -0.6702404 1.4406544 -0.7151122 1.4303578 -0.6867603 1.5126959
## X85 -0.6702404 -0.6933991 -0.7151122 -0.6983906 -0.6867603 -0.6603763
## X86 -0.6702404 -0.6933991 -0.7151122 -0.6983906 1.4545809 -0.6603763
## X87 -0.6702404 -0.6933991 -0.7151122 -0.6983906 1.4545809 -0.6603763
## X88 1.4904330 1.4406544 -0.7151122 1.4303578 1.4545809 -0.6603763
## X89 -0.6702404 1.4406544 1.3969116 1.4303578 1.4545809 1.5126959
## X90 -0.6702404 -0.6933991 1.3969116 -0.6983906 1.4545809 -0.6603763
## X91 1.4904330 1.4406544 -0.7151122 1.4303578 1.4545809 1.5126959
## X92 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X93 -0.6702404 -0.6933991 -0.7151122 -0.6983906 -0.6867603 -0.6603763
## X94 -0.6702404 1.4406544 -0.7151122 -0.6983906 1.4545809 -0.6603763
## X95 -0.6702404 1.4406544 -0.7151122 1.4303578 -0.6867603 1.5126959
## X96 1.4904330 1.4406544 -0.7151122 1.4303578 -0.6867603 1.5126959
## X97 -0.6702404 -0.6933991 -0.7151122 -0.6983906 1.4545809 -0.6603763
## X98 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X99 -0.6702404 1.4406544 -0.7151122 1.4303578 1.4545809 1.5126959
## X100 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X101 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X102 -0.6702404 -0.6933991 1.3969116 1.4303578 1.4545809 -0.6603763
## X103 1.4904330 -0.6933991 -0.7151122 -0.6983906 1.4545809 -0.6603763
## X104 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X105 -0.6702404 -0.6933991 1.3969116 -0.6983906 -0.6867603 1.5126959
## X106 1.4904330 1.4406544 -0.7151122 1.4303578 1.4545809 1.5126959
## X107 -0.6702404 -0.6933991 1.3969116 1.4303578 -0.6867603 -0.6603763
## X108 1.4904330 1.4406544 -0.7151122 1.4303578 1.4545809 1.5126959
## X109 -0.6702404 -0.6933991 1.3969116 -0.6983906 -0.6867603 -0.6603763
## X110 1.4904330 1.4406544 -0.7151122 1.4303578 -0.6867603 1.5126959
## X111 -0.6702404 -0.6933991 1.3969116 1.4303578 1.4545809 -0.6603763
## X112 -0.6702404 -0.6933991 -0.7151122 -0.6983906 -0.6867603 -0.6603763
## X113 1.4904330 -0.6933991 -0.7151122 -0.6983906 1.4545809 -0.6603763
## X114 -0.6702404 1.4406544 1.3969116 -0.6983906 -0.6867603 1.5126959
## X115 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X116 -0.6702404 -0.6933991 1.3969116 1.4303578 -0.6867603 -0.6603763
## X117 1.4904330 -0.6933991 -0.7151122 -0.6983906 1.4545809 -0.6603763
## X118 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X119 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X120 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X121 -0.6702404 1.4406544 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X122 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X123 -0.6702404 -0.6933991 1.3969116 -0.6983906 -0.6867603 1.5126959
## X124 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X125 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X126 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X127 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X128 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X129 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X130 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X131 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X132 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X133 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X134 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X135 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X136 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X137 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X138 1.4904330 1.4406544 -0.7151122 1.4303578 1.4545809 1.5126959
## X139 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X140 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X141 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X142 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X143 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X144 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X145 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X146 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X147 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X148 -0.6702404 -0.6933991 -0.7151122 1.4303578 1.4545809 -0.6603763
## X149 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X150 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X151 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X152 -0.6702404 -0.6933991 1.3969116 1.4303578 -0.6867603 -0.6603763
## X153 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X154 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X155 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X156 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X157 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X158 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X159 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X160 -0.6702404 1.4406544 -0.7151122 1.4303578 -0.6867603 1.5126959
## X161 -0.6702404 -0.6933991 -0.7151122 -0.6983906 1.4545809 -0.6603763
## X162 1.4904330 1.4406544 -0.7151122 1.4303578 1.4545809 1.5126959
## X163 -0.6702404 -0.6933991 -0.7151122 -0.6983906 -0.6867603 -0.6603763
## X164 1.4904330 1.4406544 -0.7151122 1.4303578 1.4545809 1.5126959
## X165 -0.6702404 -0.6933991 -0.7151122 -0.6983906 -0.6867603 -0.6603763
## X166 -0.6702404 -0.6933991 -0.7151122 -0.6983906 1.4545809 -0.6603763
## X167 -0.6702404 -0.6933991 -0.7151122 -0.6983906 -0.6867603 -0.6603763
## X168 -0.6702404 -0.6933991 1.3969116 -0.6983906 -0.6867603 -0.6603763
## X169 -0.6702404 -0.6933991 1.3969116 -0.6983906 -0.6867603 -0.6603763
## X170 -0.6702404 1.4406544 1.3969116 1.4303578 1.4545809 1.5126959
## X171 1.4904330 1.4406544 -0.7151122 1.4303578 1.4545809 1.5126959
## X172 -0.6702404 -0.6933991 -0.7151122 -0.6983906 1.4545809 -0.6603763
## X173 1.4904330 1.4406544 1.3969116 1.4303578 -0.6867603 1.5126959
## X174 1.4904330 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X175 -0.6702404 -0.6933991 -0.7151122 -0.6983906 -0.6867603 -0.6603763
## X176 -0.6702404 -0.6933991 1.3969116 1.4303578 -0.6867603 -0.6603763
## X177 -0.6702404 1.4406544 -0.7151122 1.4303578 1.4545809 1.5126959
## X178 1.4904330 1.4406544 -0.7151122 -0.6983906 -0.6867603 1.5126959
## X179 1.4904330 1.4406544 -0.7151122 1.4303578 1.4545809 1.5126959
## X180 1.4904330 1.4406544 -0.7151122 1.4303578 1.4545809 1.5126959
## X181 -0.6702404 -0.6933991 1.3969116 1.4303578 1.4545809 -0.6603763
## X182 1.4904330 1.4406544 -0.7151122 1.4303578 1.4545809 1.5126959
## X183 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X184 1.4904330 1.4406544 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X185 1.4904330 1.4406544 -0.7151122 1.4303578 -0.6867603 1.5126959
## X186 1.4904330 1.4406544 1.3969116 1.4303578 1.4545809 1.5126959
## X187 -0.6702404 -0.6933991 -0.7151122 -0.6983906 1.4545809 -0.6603763
## X188 -0.6702404 -0.6933991 1.3969116 1.4303578 1.4545809 -0.6603763
## X189 -0.6702404 -0.6933991 1.3969116 1.4303578 1.4545809 -0.6603763
## X190 -0.6702404 1.4406544 1.3969116 -0.6983906 -0.6867603 1.5126959
## X191 1.4904330 1.4406544 -0.7151122 1.4303578 1.4545809 1.5126959
## X192 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 1.5126959
## X193 -0.6702404 -0.6933991 -0.7151122 1.4303578 1.4545809 -0.6603763
## X194 1.4904330 1.4406544 -0.7151122 1.4303578 1.4545809 1.5126959
## X195 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X196 -0.6702404 1.4406544 -0.7151122 1.4303578 1.4545809 1.5126959
## X197 -0.6702404 -0.6933991 1.3969116 -0.6983906 -0.6867603 1.5126959
## X198 -0.6702404 -0.6933991 1.3969116 -0.6983906 -0.6867603 -0.6603763
## X199 -0.6702404 -0.6933991 -0.7151122 -0.6983906 -0.6867603 -0.6603763
## X200 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X201 -0.6702404 -0.6933991 -0.7151122 -0.6983906 1.4545809 -0.6603763
## X202 1.4904330 1.4406544 -0.7151122 1.4303578 1.4545809 1.5126959
## X203 -0.6702404 1.4406544 -0.7151122 1.4303578 -0.6867603 1.5126959
## X204 -0.6702404 1.4406544 1.3969116 1.4303578 -0.6867603 1.5126959
## X205 1.4904330 1.4406544 -0.7151122 -0.6983906 -0.6867603 1.5126959
## X206 -0.6702404 -0.6933991 1.3969116 -0.6983906 -0.6867603 -0.6603763
## X207 -0.6702404 -0.6933991 1.3969116 -0.6983906 -0.6867603 -0.6603763
## X208 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X209 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X210 -0.6702404 -0.6933991 -0.7151122 1.4303578 1.4545809 -0.6603763
## X211 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X212 -0.6702404 1.4406544 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X213 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X214 -0.6702404 1.4406544 -0.7151122 1.4303578 -0.6867603 1.5126959
## X215 -0.6702404 -0.6933991 -0.7151122 -0.6983906 -0.6867603 -0.6603763
## X216 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X217 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X218 1.4904330 1.4406544 -0.7151122 1.4303578 -0.6867603 1.5126959
## X219 1.4904330 -0.6933991 -0.7151122 -0.6983906 1.4545809 -0.6603763
## X220 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X221 1.4904330 -0.6933991 -0.7151122 -0.6983906 1.4545809 -0.6603763
## X222 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X223 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X224 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X225 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X226 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X227 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X228 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X229 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X230 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X231 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X232 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X233 -0.6702404 -0.6933991 1.3969116 1.4303578 -0.6867603 1.5126959
## X234 1.4904330 1.4406544 -0.7151122 1.4303578 1.4545809 1.5126959
## X235 -0.6702404 -0.6933991 -0.7151122 -0.6983906 -0.6867603 -0.6603763
## X236 -0.6702404 -0.6933991 1.3969116 -0.6983906 -0.6867603 1.5126959
## X237 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X238 -0.6702404 -0.6933991 -0.7151122 -0.6983906 -0.6867603 -0.6603763
## X239 1.4904330 1.4406544 -0.7151122 -0.6983906 -0.6867603 1.5126959
## X240 1.4904330 1.4406544 1.3969116 1.4303578 -0.6867603 1.5126959
## X241 -0.6702404 -0.6933991 -0.7151122 -0.6983906 -0.6867603 -0.6603763
## X242 -0.6702404 -0.6933991 -0.7151122 -0.6983906 -0.6867603 -0.6603763
## X243 1.4904330 1.4406544 -0.7151122 1.4303578 -0.6867603 1.5126959
## X244 -0.6702404 -0.6933991 1.3969116 1.4303578 -0.6867603 1.5126959
## X245 1.4904330 1.4406544 -0.7151122 -0.6983906 -0.6867603 1.5126959
## X246 -0.6702404 1.4406544 -0.7151122 1.4303578 1.4545809 -0.6603763
## X247 -0.6702404 1.4406544 1.3969116 1.4303578 -0.6867603 1.5126959
## X248 -0.6702404 1.4406544 -0.7151122 -0.6983906 1.4545809 -0.6603763
## X249 -0.6702404 -0.6933991 -0.7151122 -0.6983906 1.4545809 -0.6603763
## X250 1.4904330 -0.6933991 -0.7151122 -0.6983906 -0.6867603 -0.6603763
## X251 -0.6702404 -0.6933991 -0.7151122 -0.6983906 -0.6867603 -0.6603763
## X252 -0.6702404 -0.6933991 1.3969116 1.4303578 1.4545809 -0.6603763
## X253 -0.6702404 -0.6933991 -0.7151122 -0.6983906 -0.6867603 -0.6603763
## X254 1.4904330 1.4406544 -0.7151122 1.4303578 1.4545809 1.5126959
## X255 1.4904330 -0.6933991 1.3969116 -0.6983906 -0.6867603 1.5126959
## X256 -0.6702404 -0.6933991 1.3969116 -0.6983906 1.4545809 -0.6603763
## X257 -0.6702404 1.4406544 -0.7151122 -0.6983906 -0.6867603 -0.6603763
## X258 -0.6702404 -0.6933991 -0.7151122 -0.6983906 1.4545809 -0.6603763
## X259 -0.6702404 -0.6933991 -0.7151122 -0.6983906 1.4545809 -0.6603763
## X260 1.4904330 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X261 -0.6702404 -0.6933991 1.3969116 1.4303578 -0.6867603 1.5126959
## X262 -0.6702404 -0.6933991 -0.7151122 -0.6983906 1.4545809 -0.6603763
## X263 -0.6702404 -0.6933991 -0.7151122 -0.6983906 1.4545809 -0.6603763
## X264 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X265 -0.6702404 -0.6933991 -0.7151122 -0.6983906 -0.6867603 -0.6603763
## X266 -0.6702404 -0.6933991 -0.7151122 -0.6983906 -0.6867603 -0.6603763
## X267 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X268 -0.6702404 -0.6933991 -0.7151122 -0.6983906 1.4545809 -0.6603763
## X269 -0.6702404 1.4406544 1.3969116 -0.6983906 1.4545809 1.5126959
## X270 1.4904330 1.4406544 -0.7151122 -0.6983906 1.4545809 1.5126959
## X271 1.4904330 -0.6933991 -0.7151122 -0.6983906 -0.6867603 -0.6603763
## X272 -0.6702404 -0.6933991 1.3969116 -0.6983906 -0.6867603 -0.6603763
## X273 -0.6702404 -0.6933991 -0.7151122 -0.6983906 1.4545809 -0.6603763
## X274 -0.6702404 -0.6933991 1.3969116 1.4303578 1.4545809 1.5126959
## X275 1.4904330 -0.6933991 -0.7151122 -0.6983906 1.4545809 -0.6603763
## X276 1.4904330 -0.6933991 -0.7151122 -0.6983906 -0.6867603 -0.6603763
## X277 1.4904330 1.4406544 1.3969116 1.4303578 1.4545809 1.5126959
## X278 -0.6702404 -0.6933991 1.3969116 1.4303578 -0.6867603 -0.6603763
## X279 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X280 1.4904330 1.4406544 -0.7151122 -0.6983906 -0.6867603 1.5126959
## X281 -0.6702404 -0.6933991 -0.7151122 -0.6983906 -0.6867603 -0.6603763
## X282 -0.6702404 -0.6933991 1.3969116 -0.6983906 -0.6867603 1.5126959
## X283 -0.6702404 -0.6933991 -0.7151122 -0.6983906 -0.6867603 -0.6603763
## X284 1.4904330 1.4406544 -0.7151122 1.4303578 -0.6867603 1.5126959
## X285 -0.6702404 -0.6933991 -0.7151122 -0.6983906 -0.6867603 -0.6603763
## X286 -0.6702404 -0.6933991 1.3969116 1.4303578 -0.6867603 -0.6603763
## X287 -0.6702404 1.4406544 1.3969116 1.4303578 -0.6867603 1.5126959
## X288 1.4904330 1.4406544 -0.7151122 -0.6983906 -0.6867603 1.5126959
## X289 1.4904330 1.4406544 1.3969116 1.4303578 -0.6867603 1.5126959
## X290 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 1.5126959
## X291 -0.6702404 -0.6933991 -0.7151122 -0.6983906 1.4545809 -0.6603763
## X292 -0.6702404 -0.6933991 1.3969116 -0.6983906 -0.6867603 -0.6603763
## X293 1.4904330 1.4406544 -0.7151122 1.4303578 -0.6867603 1.5126959
## X294 -0.6702404 1.4406544 -0.7151122 -0.6983906 -0.6867603 1.5126959
## X295 -0.6702404 1.4406544 1.3969116 -0.6983906 -0.6867603 1.5126959
## X296 -0.6702404 -0.6933991 1.3969116 1.4303578 -0.6867603 1.5126959
## X297 -0.6702404 -0.6933991 -0.7151122 -0.6983906 -0.6867603 -0.6603763
## X298 -0.6702404 -0.6933991 -0.7151122 -0.6983906 -0.6867603 -0.6603763
## X299 -0.6702404 -0.6933991 1.3969116 -0.6983906 1.4545809 1.5126959
## X300 1.4904330 -0.6933991 -0.7151122 -0.6983906 1.4545809 -0.6603763
## X301 -0.6702404 -0.6933991 1.3969116 -0.6983906 -0.6867603 -0.6603763
## X302 1.4904330 -0.6933991 -0.7151122 -0.6983906 -0.6867603 -0.6603763
## X303 -0.6702404 -0.6933991 1.3969116 -0.6983906 -0.6867603 -0.6603763
## X304 -0.6702404 -0.6933991 1.3969116 1.4303578 -0.6867603 1.5126959
## X305 -0.6702404 -0.6933991 1.3969116 -0.6983906 1.4545809 -0.6603763
## X306 -0.6702404 -0.6933991 -0.7151122 -0.6983906 -0.6867603 -0.6603763
## X307 1.4904330 1.4406544 1.3969116 1.4303578 1.4545809 -0.6603763
## X308 1.4904330 1.4406544 -0.7151122 1.4303578 -0.6867603 1.5126959
## X309 1.4904330 1.4406544 1.3969116 1.4303578 1.4545809 -0.6603763
## X310 1.4904330 1.4406544 -0.7151122 1.4303578 1.4545809 1.5126959
## X311 -0.6702404 -0.6933991 -0.7151122 -0.6983906 1.4545809 -0.6603763
## X312 1.4904330 1.4406544 1.3969116 1.4303578 -0.6867603 1.5126959
## X313 -0.6702404 -0.6933991 1.3969116 -0.6983906 1.4545809 -0.6603763
## X314 -0.6702404 -0.6933991 -0.7151122 -0.6983906 -0.6867603 -0.6603763
## X315 -0.6702404 1.4406544 -0.7151122 -0.6983906 -0.6867603 1.5126959
## X316 -0.6702404 -0.6933991 -0.7151122 -0.6983906 -0.6867603 -0.6603763
## X317 -0.6702404 -0.6933991 -0.7151122 -0.6983906 -0.6867603 -0.6603763
## X318 -0.6702404 1.4406544 1.3969116 1.4303578 1.4545809 1.5126959
## X319 -0.6702404 1.4406544 1.3969116 1.4303578 1.4545809 -0.6603763
## X320 -0.6702404 -0.6933991 1.3969116 -0.6983906 -0.6867603 -0.6603763
## X321 1.4904330 1.4406544 -0.7151122 1.4303578 -0.6867603 1.5126959
## X322 -0.6702404 1.4406544 1.3969116 -0.6983906 1.4545809 1.5126959
## X323 -0.6702404 -0.6933991 1.3969116 -0.6983906 -0.6867603 -0.6603763
## X324 -0.6702404 -0.6933991 -0.7151122 -0.6983906 1.4545809 -0.6603763
## X325 -0.6702404 -0.6933991 -0.7151122 -0.6983906 -0.6867603 -0.6603763
## X326 -0.6702404 -0.6933991 -0.7151122 -0.6983906 -0.6867603 -0.6603763
## X327 -0.6702404 -0.6933991 -0.7151122 -0.6983906 -0.6867603 -0.6603763
## X328 1.4904330 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X329 -0.6702404 -0.6933991 -0.7151122 -0.6983906 1.4545809 -0.6603763
## X330 -0.6702404 -0.6933991 -0.7151122 -0.6983906 -0.6867603 -0.6603763
## X331 -0.6702404 -0.6933991 1.3969116 -0.6983906 -0.6867603 -0.6603763
## X332 -0.6702404 -0.6933991 -0.7151122 -0.6983906 -0.6867603 -0.6603763
## X333 -0.6702404 -0.6933991 1.3969116 -0.6983906 -0.6867603 -0.6603763
## X334 -0.6702404 -0.6933991 -0.7151122 -0.6983906 -0.6867603 -0.6603763
## X335 -0.6702404 -0.6933991 1.3969116 -0.6983906 1.4545809 -0.6603763
## X336 -0.6702404 -0.6933991 -0.7151122 -0.6983906 1.4545809 -0.6603763
## X337 -0.6702404 -0.6933991 1.3969116 1.4303578 -0.6867603 1.5126959
## X338 -0.6702404 1.4406544 1.3969116 1.4303578 -0.6867603 1.5126959
## X339 -0.6702404 1.4406544 -0.7151122 -0.6983906 -0.6867603 -0.6603763
## X340 1.4904330 1.4406544 -0.7151122 -0.6983906 -0.6867603 1.5126959
## X341 -0.6702404 1.4406544 -0.7151122 -0.6983906 1.4545809 -0.6603763
## X342 -0.6702404 -0.6933991 -0.7151122 -0.6983906 -0.6867603 -0.6603763
## X343 -0.6702404 1.4406544 1.3969116 1.4303578 1.4545809 1.5126959
## X344 -0.6702404 -0.6933991 1.3969116 -0.6983906 -0.6867603 1.5126959
## X345 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X346 -0.6702404 -0.6933991 1.3969116 -0.6983906 1.4545809 1.5126959
## X347 1.4904330 1.4406544 -0.7151122 1.4303578 1.4545809 1.5126959
## X348 1.4904330 1.4406544 1.3969116 1.4303578 1.4545809 1.5126959
## X349 -0.6702404 -0.6933991 -0.7151122 -0.6983906 1.4545809 -0.6603763
## X350 1.4904330 1.4406544 1.3969116 1.4303578 -0.6867603 -0.6603763
## X351 -0.6702404 -0.6933991 -0.7151122 -0.6983906 1.4545809 -0.6603763
## X352 -0.6702404 -0.6933991 1.3969116 -0.6983906 -0.6867603 -0.6603763
## X353 -0.6702404 -0.6933991 1.3969116 -0.6983906 1.4545809 -0.6603763
## X354 -0.6702404 1.4406544 1.3969116 1.4303578 1.4545809 -0.6603763
## X355 1.4904330 -0.6933991 -0.7151122 -0.6983906 1.4545809 -0.6603763
## X356 -0.6702404 -0.6933991 -0.7151122 -0.6983906 -0.6867603 -0.6603763
## X357 -0.6702404 1.4406544 1.3969116 -0.6983906 -0.6867603 1.5126959
## X358 1.4904330 -0.6933991 -0.7151122 -0.6983906 1.4545809 -0.6603763
## X359 -0.6702404 -0.6933991 1.3969116 -0.6983906 1.4545809 1.5126959
## X360 -0.6702404 1.4406544 -0.7151122 1.4303578 1.4545809 1.5126959
## X361 -0.6702404 -0.6933991 -0.7151122 -0.6983906 1.4545809 -0.6603763
## X362 -0.6702404 -0.6933991 -0.7151122 -0.6983906 -0.6867603 -0.6603763
## X363 -0.6702404 -0.6933991 1.3969116 1.4303578 -0.6867603 -0.6603763
## X364 -0.6702404 -0.6933991 -0.7151122 -0.6983906 1.4545809 -0.6603763
## X365 -0.6702404 -0.6933991 1.3969116 -0.6983906 -0.6867603 -0.6603763
## X366 -0.6702404 -0.6933991 -0.7151122 -0.6983906 -0.6867603 -0.6603763
## X367 -0.6702404 -0.6933991 -0.7151122 -0.6983906 -0.6867603 -0.6603763
## X368 -0.6702404 -0.6933991 -0.7151122 -0.6983906 -0.6867603 -0.6603763
## X369 -0.6702404 1.4406544 1.3969116 1.4303578 -0.6867603 1.5126959
## X370 -0.6702404 -0.6933991 1.3969116 1.4303578 -0.6867603 1.5126959
## X371 -0.6702404 -0.6933991 -0.7151122 -0.6983906 -0.6867603 -0.6603763
## X372 1.4904330 1.4406544 -0.7151122 1.4303578 -0.6867603 1.5126959
## X373 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X374 1.4904330 -0.6933991 1.3969116 1.4303578 -0.6867603 1.5126959
## X375 -0.6702404 1.4406544 1.3969116 -0.6983906 -0.6867603 1.5126959
## X376 1.4904330 1.4406544 -0.7151122 1.4303578 1.4545809 1.5126959
## X377 1.4904330 1.4406544 -0.7151122 1.4303578 1.4545809 1.5126959
## X378 -0.6702404 -0.6933991 1.3969116 1.4303578 1.4545809 -0.6603763
## X379 -0.6702404 -0.6933991 -0.7151122 -0.6983906 1.4545809 -0.6603763
## X380 -0.6702404 -0.6933991 -0.7151122 -0.6983906 -0.6867603 -0.6603763
## X381 1.4904330 1.4406544 -0.7151122 -0.6983906 1.4545809 1.5126959
## X382 -0.6702404 -0.6933991 1.3969116 -0.6983906 1.4545809 -0.6603763
## X383 1.4904330 1.4406544 -0.7151122 1.4303578 1.4545809 1.5126959
## X384 -0.6702404 1.4406544 -0.7151122 1.4303578 1.4545809 1.5126959
## X385 1.4904330 1.4406544 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X386 -0.6702404 -0.6933991 1.3969116 1.4303578 -0.6867603 -0.6603763
## X387 1.4904330 1.4406544 1.3969116 1.4303578 1.4545809 1.5126959
## X388 1.4904330 1.4406544 1.3969116 1.4303578 -0.6867603 1.5126959
## X389 -0.6702404 1.4406544 1.3969116 -0.6983906 -0.6867603 1.5126959
## X390 -0.6702404 -0.6933991 1.3969116 1.4303578 1.4545809 1.5126959
## X391 1.4904330 1.4406544 -0.7151122 1.4303578 1.4545809 1.5126959
## X392 -0.6702404 1.4406544 1.3969116 -0.6983906 1.4545809 1.5126959
## X393 -0.6702404 -0.6933991 -0.7151122 -0.6983906 -0.6867603 -0.6603763
## X394 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X395 -0.6702404 -0.6933991 -0.7151122 -0.6983906 1.4545809 -0.6603763
## X396 -0.6702404 -0.6933991 -0.7151122 -0.6983906 -0.6867603 -0.6603763
## X397 1.4904330 1.4406544 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X398 1.4904330 1.4406544 -0.7151122 -0.6983906 1.4545809 1.5126959
## X399 -0.6702404 -0.6933991 -0.7151122 -0.6983906 -0.6867603 -0.6603763
## X400 -0.6702404 -0.6933991 1.3969116 -0.6983906 -0.6867603 -0.6603763
## X401 -0.6702404 -0.6933991 -0.7151122 -0.6983906 -0.6867603 -0.6603763
## X402 1.4904330 1.4406544 -0.7151122 -0.6983906 -0.6867603 1.5126959
## X403 1.4904330 1.4406544 -0.7151122 -0.6983906 1.4545809 1.5126959
## X404 -0.6702404 1.4406544 -0.7151122 -0.6983906 1.4545809 -0.6603763
## X405 -0.6702404 -0.6933991 1.3969116 -0.6983906 -0.6867603 1.5126959
## X406 1.4904330 -0.6933991 -0.7151122 -0.6983906 -0.6867603 -0.6603763
## X407 -0.6702404 -0.6933991 1.3969116 -0.6983906 -0.6867603 1.5126959
## X408 -0.6702404 -0.6933991 -0.7151122 -0.6983906 -0.6867603 -0.6603763
## X409 -0.6702404 -0.6933991 1.3969116 1.4303578 1.4545809 1.5126959
## X410 -0.6702404 -0.6933991 1.3969116 1.4303578 -0.6867603 1.5126959
## X411 1.4904330 1.4406544 -0.7151122 1.4303578 -0.6867603 1.5126959
## X412 -0.6702404 -0.6933991 1.3969116 1.4303578 -0.6867603 -0.6603763
## X413 -0.6702404 -0.6933991 1.3969116 1.4303578 -0.6867603 -0.6603763
## X414 -0.6702404 -0.6933991 -0.7151122 -0.6983906 1.4545809 -0.6603763
## X415 -0.6702404 -0.6933991 -0.7151122 -0.6983906 -0.6867603 -0.6603763
## X416 -0.6702404 -0.6933991 -0.7151122 -0.6983906 -0.6867603 -0.6603763
## X417 -0.6702404 -0.6933991 1.3969116 1.4303578 -0.6867603 -0.6603763
## X418 1.4904330 1.4406544 -0.7151122 1.4303578 -0.6867603 1.5126959
## X419 1.4904330 1.4406544 -0.7151122 1.4303578 -0.6867603 -0.6603763
## X420 -0.6702404 -0.6933991 1.3969116 -0.6983906 -0.6867603 -0.6603763
## X421 1.4904330 -0.6933991 -0.7151122 -0.6983906 -0.6867603 -0.6603763
## X422 1.4904330 1.4406544 -0.7151122 -0.6983906 -0.6867603 1.5126959
## X423 1.4904330 1.4406544 -0.7151122 1.4303578 1.4545809 1.5126959
## X424 1.4904330 1.4406544 1.3969116 1.4303578 1.4545809 1.5126959
## X425 1.4904330 1.4406544 -0.7151122 1.4303578 1.4545809 1.5126959
## X426 -0.6702404 1.4406544 -0.7151122 1.4303578 -0.6867603 1.5126959
## X427 -0.6702404 -0.6933991 -0.7151122 -0.6983906 -0.6867603 -0.6603763
## X428 -0.6702404 -0.6933991 -0.7151122 -0.6983906 -0.6867603 -0.6603763
## X429 -0.6702404 -0.6933991 -0.7151122 -0.6983906 1.4545809 -0.6603763
## X430 -0.6702404 -0.6933991 -0.7151122 -0.6983906 -0.6867603 -0.6603763
## X431 -0.6702404 -0.6933991 -0.7151122 -0.6983906 -0.6867603 -0.6603763
## X432 1.4904330 -0.6933991 -0.7151122 -0.6983906 -0.6867603 -0.6603763
## X433 -0.6702404 -0.6933991 -0.7151122 -0.6983906 1.4545809 -0.6603763
## X434 -0.6702404 -0.6933991 -0.7151122 1.4303578 -0.6867603 1.5126959
## X435 -0.6702404 -0.6933991 -0.7151122 -0.6983906 1.4545809 -0.6603763
## X436 -0.6702404 -0.6933991 -0.7151122 -0.6983906 -0.6867603 -0.6603763
## X437 1.4904330 1.4406544 -0.7151122 1.4303578 -0.6867603 1.5126959
## X438 1.4904330 1.4406544 -0.7151122 1.4303578 1.4545809 1.5126959
## X439 -0.6702404 -0.6933991 -0.7151122 -0.6983906 -0.6867603 -0.6603763
## X440 -0.6702404 -0.6933991 -0.7151122 -0.6983906 -0.6867603 -0.6603763
## X441 -0.6702404 1.4406544 1.3969116 1.4303578 1.4545809 1.5126959
## X442 1.4904330 1.4406544 1.3969116 1.4303578 1.4545809 1.5126959
## X443 -0.6702404 -0.6933991 1.3969116 1.4303578 -0.6867603 1.5126959
## X444 -0.6702404 -0.6933991 1.3969116 -0.6983906 1.4545809 -0.6603763
## X445 -0.6702404 -0.6933991 1.3969116 -0.6983906 1.4545809 -0.6603763
## X446 -0.6702404 1.4406544 1.3969116 -0.6983906 -0.6867603 -0.6603763
## X447 -0.6702404 -0.6933991 -0.7151122 -0.6983906 1.4545809 -0.6603763
## X448 -0.6702404 -0.6933991 1.3969116 -0.6983906 1.4545809 -0.6603763
## X449 -0.6702404 1.4406544 1.3969116 1.4303578 1.4545809 -0.6603763
## X450 -0.6702404 -0.6933991 1.3969116 -0.6983906 -0.6867603 -0.6603763
## X451 1.4904330 -0.6933991 -0.7151122 -0.6983906 1.4545809 -0.6603763
## X452 1.4904330 1.4406544 -0.7151122 1.4303578 -0.6867603 1.5126959
## X453 -0.6702404 1.4406544 -0.7151122 1.4303578 -0.6867603 1.5126959
## X454 1.4904330 1.4406544 -0.7151122 1.4303578 -0.6867603 1.5126959
## FP079 FP080 FP081 FP082 FP083 FP084
## X1 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 1.5791449
## X2 0.6702404 1.5164639 -0.6212014 0.6325882 -0.6130829 1.5791449
## X3 0.6702404 -0.6587354 1.6080912 0.6325882 -0.6130829 -0.6325882
## X4 0.6702404 -0.6587354 1.6080912 -1.5791449 -0.6130829 -0.6325882
## X5 0.6702404 1.5164639 -0.6212014 0.6325882 1.6293857 1.5791449
## X6 -1.4904330 1.5164639 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X7 0.6702404 1.5164639 -0.6212014 0.6325882 -0.6130829 1.5791449
## X8 -1.4904330 1.5164639 1.6080912 -1.5791449 -0.6130829 -0.6325882
## X9 0.6702404 -0.6587354 1.6080912 0.6325882 -0.6130829 -0.6325882
## X10 0.6702404 -0.6587354 1.6080912 0.6325882 1.6293857 -0.6325882
## X11 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X12 0.6702404 -0.6587354 1.6080912 0.6325882 -0.6130829 -0.6325882
## X13 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X14 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X15 0.6702404 -0.6587354 1.6080912 0.6325882 -0.6130829 -0.6325882
## X16 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X17 0.6702404 1.5164639 1.6080912 0.6325882 1.6293857 1.5791449
## X18 0.6702404 1.5164639 -0.6212014 0.6325882 -0.6130829 1.5791449
## X19 0.6702404 -0.6587354 1.6080912 0.6325882 -0.6130829 -0.6325882
## X20 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X21 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X22 0.6702404 1.5164639 1.6080912 0.6325882 -0.6130829 1.5791449
## X23 0.6702404 1.5164639 1.6080912 0.6325882 -0.6130829 -0.6325882
## X24 0.6702404 1.5164639 -0.6212014 -1.5791449 1.6293857 1.5791449
## X25 0.6702404 1.5164639 -0.6212014 0.6325882 1.6293857 -0.6325882
## X26 0.6702404 -0.6587354 -0.6212014 0.6325882 1.6293857 -0.6325882
## X27 0.6702404 1.5164639 1.6080912 0.6325882 -0.6130829 1.5791449
## X28 0.6702404 -0.6587354 -0.6212014 0.6325882 1.6293857 1.5791449
## X29 0.6702404 -0.6587354 -0.6212014 0.6325882 1.6293857 -0.6325882
## X30 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X31 -1.4904330 -0.6587354 1.6080912 -1.5791449 -0.6130829 -0.6325882
## X32 -1.4904330 -0.6587354 1.6080912 0.6325882 -0.6130829 -0.6325882
## X33 0.6702404 -0.6587354 1.6080912 -1.5791449 -0.6130829 -0.6325882
## X34 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X35 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 1.5791449
## X36 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X37 0.6702404 -0.6587354 1.6080912 -1.5791449 -0.6130829 -0.6325882
## X38 0.6702404 -0.6587354 1.6080912 0.6325882 -0.6130829 -0.6325882
## X39 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X40 0.6702404 -0.6587354 -0.6212014 0.6325882 1.6293857 -0.6325882
## X41 0.6702404 1.5164639 1.6080912 0.6325882 -0.6130829 -0.6325882
## X42 0.6702404 1.5164639 -0.6212014 0.6325882 1.6293857 -0.6325882
## X43 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X44 0.6702404 1.5164639 1.6080912 0.6325882 -0.6130829 1.5791449
## X45 0.6702404 -0.6587354 -0.6212014 0.6325882 1.6293857 1.5791449
## X46 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 1.5791449
## X47 -1.4904330 -0.6587354 1.6080912 -1.5791449 -0.6130829 -0.6325882
## X48 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X49 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X50 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X51 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X52 -1.4904330 -0.6587354 1.6080912 -1.5791449 -0.6130829 -0.6325882
## X53 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X54 0.6702404 1.5164639 -0.6212014 0.6325882 1.6293857 1.5791449
## X55 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X56 0.6702404 -0.6587354 1.6080912 0.6325882 -0.6130829 -0.6325882
## X57 0.6702404 1.5164639 1.6080912 0.6325882 1.6293857 -0.6325882
## X58 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X59 0.6702404 -0.6587354 1.6080912 0.6325882 -0.6130829 1.5791449
## X60 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 1.5791449
## X61 -1.4904330 -0.6587354 1.6080912 -1.5791449 -0.6130829 -0.6325882
## X62 -1.4904330 -0.6587354 1.6080912 -1.5791449 -0.6130829 -0.6325882
## X63 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X64 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X65 0.6702404 1.5164639 1.6080912 0.6325882 -0.6130829 -0.6325882
## X66 -1.4904330 1.5164639 1.6080912 -1.5791449 -0.6130829 -0.6325882
## X67 0.6702404 1.5164639 -0.6212014 0.6325882 -0.6130829 1.5791449
## X68 0.6702404 1.5164639 1.6080912 0.6325882 -0.6130829 -0.6325882
## X69 -1.4904330 -0.6587354 1.6080912 -1.5791449 -0.6130829 -0.6325882
## X70 0.6702404 1.5164639 1.6080912 0.6325882 -0.6130829 1.5791449
## X71 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X72 -1.4904330 1.5164639 1.6080912 -1.5791449 -0.6130829 -0.6325882
## X73 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X74 -1.4904330 1.5164639 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X75 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X76 0.6702404 1.5164639 1.6080912 0.6325882 -0.6130829 -0.6325882
## X77 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X78 0.6702404 -0.6587354 -0.6212014 0.6325882 1.6293857 -0.6325882
## X79 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X80 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X81 0.6702404 -0.6587354 1.6080912 0.6325882 -0.6130829 -0.6325882
## X82 0.6702404 -0.6587354 -0.6212014 0.6325882 1.6293857 1.5791449
## X83 0.6702404 1.5164639 1.6080912 0.6325882 -0.6130829 1.5791449
## X84 0.6702404 -0.6587354 -0.6212014 0.6325882 1.6293857 -0.6325882
## X85 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X86 -1.4904330 -0.6587354 1.6080912 -1.5791449 -0.6130829 -0.6325882
## X87 -1.4904330 1.5164639 1.6080912 -1.5791449 -0.6130829 -0.6325882
## X88 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X89 0.6702404 1.5164639 -0.6212014 0.6325882 1.6293857 -0.6325882
## X90 -1.4904330 1.5164639 1.6080912 0.6325882 -0.6130829 -0.6325882
## X91 0.6702404 1.5164639 1.6080912 0.6325882 1.6293857 -0.6325882
## X92 0.6702404 -0.6587354 -0.6212014 0.6325882 1.6293857 -0.6325882
## X93 -1.4904330 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X94 -1.4904330 -0.6587354 1.6080912 0.6325882 -0.6130829 -0.6325882
## X95 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X96 0.6702404 -0.6587354 -0.6212014 0.6325882 1.6293857 -0.6325882
## X97 -1.4904330 -0.6587354 1.6080912 -1.5791449 -0.6130829 -0.6325882
## X98 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X99 0.6702404 -0.6587354 1.6080912 0.6325882 -0.6130829 -0.6325882
## X100 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X101 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X102 0.6702404 1.5164639 1.6080912 0.6325882 -0.6130829 1.5791449
## X103 -1.4904330 -0.6587354 1.6080912 -1.5791449 -0.6130829 -0.6325882
## X104 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 1.5791449
## X105 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 1.5791449
## X106 0.6702404 -0.6587354 1.6080912 -1.5791449 -0.6130829 1.5791449
## X107 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X108 0.6702404 1.5164639 1.6080912 0.6325882 -0.6130829 -0.6325882
## X109 -1.4904330 1.5164639 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X110 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 1.5791449
## X111 0.6702404 1.5164639 1.6080912 0.6325882 -0.6130829 -0.6325882
## X112 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X113 -1.4904330 -0.6587354 1.6080912 -1.5791449 -0.6130829 -0.6325882
## X114 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 1.5791449
## X115 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X116 0.6702404 -0.6587354 -0.6212014 0.6325882 1.6293857 -0.6325882
## X117 -1.4904330 1.5164639 1.6080912 -1.5791449 -0.6130829 -0.6325882
## X118 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X119 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X120 0.6702404 -0.6587354 -0.6212014 0.6325882 1.6293857 -0.6325882
## X121 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 1.5791449
## X122 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X123 0.6702404 1.5164639 -0.6212014 0.6325882 -0.6130829 1.5791449
## X124 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X125 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X126 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X127 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X128 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X129 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X130 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X131 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X132 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X133 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X134 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X135 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X136 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X137 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X138 0.6702404 1.5164639 1.6080912 0.6325882 -0.6130829 1.5791449
## X139 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X140 0.6702404 -0.6587354 -0.6212014 0.6325882 1.6293857 1.5791449
## X141 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X142 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X143 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X144 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X145 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X146 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X147 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X148 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X149 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X150 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X151 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X152 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 1.5791449
## X153 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X154 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X155 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X156 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X157 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X158 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X159 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X160 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X161 -1.4904330 1.5164639 1.6080912 -1.5791449 -0.6130829 -0.6325882
## X162 0.6702404 -0.6587354 1.6080912 0.6325882 -0.6130829 -0.6325882
## X163 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X164 0.6702404 1.5164639 1.6080912 0.6325882 -0.6130829 -0.6325882
## X165 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X166 0.6702404 -0.6587354 1.6080912 -1.5791449 -0.6130829 -0.6325882
## X167 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X168 0.6702404 -0.6587354 -0.6212014 0.6325882 1.6293857 1.5791449
## X169 -1.4904330 1.5164639 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X170 0.6702404 1.5164639 1.6080912 0.6325882 -0.6130829 1.5791449
## X171 0.6702404 1.5164639 1.6080912 0.6325882 -0.6130829 -0.6325882
## X172 -1.4904330 -0.6587354 -0.6212014 -1.5791449 -0.6130829 -0.6325882
## X173 0.6702404 -0.6587354 -0.6212014 0.6325882 1.6293857 1.5791449
## X174 0.6702404 -0.6587354 -0.6212014 0.6325882 1.6293857 1.5791449
## X175 -1.4904330 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X176 0.6702404 1.5164639 1.6080912 0.6325882 -0.6130829 1.5791449
## X177 0.6702404 -0.6587354 1.6080912 0.6325882 -0.6130829 1.5791449
## X178 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X179 0.6702404 -0.6587354 1.6080912 0.6325882 -0.6130829 -0.6325882
## X180 0.6702404 -0.6587354 1.6080912 0.6325882 -0.6130829 -0.6325882
## X181 0.6702404 1.5164639 1.6080912 0.6325882 -0.6130829 1.5791449
## X182 0.6702404 1.5164639 1.6080912 0.6325882 -0.6130829 1.5791449
## X183 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 1.5791449
## X184 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 1.5791449
## X185 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X186 0.6702404 1.5164639 -0.6212014 0.6325882 -0.6130829 1.5791449
## X187 -1.4904330 1.5164639 1.6080912 -1.5791449 -0.6130829 -0.6325882
## X188 0.6702404 1.5164639 1.6080912 0.6325882 -0.6130829 -0.6325882
## X189 0.6702404 1.5164639 1.6080912 0.6325882 -0.6130829 1.5791449
## X190 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X191 0.6702404 1.5164639 1.6080912 0.6325882 -0.6130829 -0.6325882
## X192 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 1.5791449
## X193 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X194 0.6702404 -0.6587354 1.6080912 0.6325882 -0.6130829 -0.6325882
## X195 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X196 0.6702404 -0.6587354 1.6080912 0.6325882 -0.6130829 -0.6325882
## X197 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 1.5791449
## X198 -1.4904330 1.5164639 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X199 -1.4904330 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X200 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X201 0.6702404 -0.6587354 1.6080912 -1.5791449 -0.6130829 -0.6325882
## X202 0.6702404 -0.6587354 1.6080912 0.6325882 -0.6130829 -0.6325882
## X203 0.6702404 1.5164639 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X204 0.6702404 1.5164639 -0.6212014 0.6325882 -0.6130829 1.5791449
## X205 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X206 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X207 0.6702404 1.5164639 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X208 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X209 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X210 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X211 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X212 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 1.5791449
## X213 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X214 0.6702404 1.5164639 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X215 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X216 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X217 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X218 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X219 -1.4904330 -0.6587354 1.6080912 -1.5791449 -0.6130829 -0.6325882
## X220 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X221 -1.4904330 1.5164639 1.6080912 -1.5791449 -0.6130829 -0.6325882
## X222 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X223 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X224 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X225 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X226 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X227 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X228 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X229 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X230 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X231 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X232 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X233 0.6702404 -0.6587354 -0.6212014 0.6325882 1.6293857 1.5791449
## X234 0.6702404 -0.6587354 1.6080912 0.6325882 -0.6130829 -0.6325882
## X235 0.6702404 -0.6587354 -0.6212014 -1.5791449 -0.6130829 -0.6325882
## X236 0.6702404 1.5164639 -0.6212014 0.6325882 -0.6130829 1.5791449
## X237 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X238 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X239 0.6702404 1.5164639 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X240 0.6702404 -0.6587354 -0.6212014 0.6325882 1.6293857 -0.6325882
## X241 -1.4904330 -0.6587354 -0.6212014 -1.5791449 -0.6130829 -0.6325882
## X242 0.6702404 1.5164639 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X243 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 1.5791449
## X244 0.6702404 -0.6587354 -0.6212014 0.6325882 1.6293857 1.5791449
## X245 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X246 0.6702404 1.5164639 -0.6212014 0.6325882 1.6293857 1.5791449
## X247 0.6702404 -0.6587354 -0.6212014 0.6325882 1.6293857 1.5791449
## X248 -1.4904330 -0.6587354 1.6080912 -1.5791449 -0.6130829 -0.6325882
## X249 0.6702404 -0.6587354 -0.6212014 -1.5791449 -0.6130829 -0.6325882
## X250 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X251 -1.4904330 -0.6587354 -0.6212014 -1.5791449 -0.6130829 1.5791449
## X252 0.6702404 1.5164639 -0.6212014 0.6325882 1.6293857 1.5791449
## X253 -1.4904330 -0.6587354 -0.6212014 -1.5791449 -0.6130829 -0.6325882
## X254 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 1.5791449
## X255 0.6702404 1.5164639 -0.6212014 0.6325882 -0.6130829 1.5791449
## X256 -1.4904330 1.5164639 1.6080912 -1.5791449 1.6293857 -0.6325882
## X257 0.6702404 -0.6587354 -0.6212014 0.6325882 1.6293857 -0.6325882
## X258 -1.4904330 -0.6587354 1.6080912 -1.5791449 -0.6130829 -0.6325882
## X259 -1.4904330 -0.6587354 -0.6212014 -1.5791449 -0.6130829 -0.6325882
## X260 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X261 0.6702404 -0.6587354 -0.6212014 0.6325882 1.6293857 1.5791449
## X262 -1.4904330 -0.6587354 -0.6212014 -1.5791449 -0.6130829 -0.6325882
## X263 -1.4904330 -0.6587354 1.6080912 -1.5791449 -0.6130829 -0.6325882
## X264 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 1.5791449
## X265 -1.4904330 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X266 -1.4904330 -0.6587354 -0.6212014 -1.5791449 -0.6130829 -0.6325882
## X267 0.6702404 -0.6587354 -0.6212014 0.6325882 1.6293857 -0.6325882
## X268 -1.4904330 1.5164639 1.6080912 -1.5791449 -0.6130829 -0.6325882
## X269 0.6702404 1.5164639 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X270 0.6702404 1.5164639 1.6080912 0.6325882 -0.6130829 -0.6325882
## X271 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X272 0.6702404 1.5164639 1.6080912 0.6325882 -0.6130829 -0.6325882
## X273 -1.4904330 1.5164639 1.6080912 -1.5791449 -0.6130829 -0.6325882
## X274 0.6702404 -0.6587354 -0.6212014 0.6325882 1.6293857 1.5791449
## X275 -1.4904330 -0.6587354 1.6080912 -1.5791449 -0.6130829 -0.6325882
## X276 0.6702404 -0.6587354 -0.6212014 0.6325882 1.6293857 1.5791449
## X277 0.6702404 1.5164639 -0.6212014 0.6325882 -0.6130829 1.5791449
## X278 0.6702404 -0.6587354 -0.6212014 0.6325882 1.6293857 1.5791449
## X279 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 1.5791449
## X280 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X281 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X282 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 1.5791449
## X283 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X284 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 1.5791449
## X285 0.6702404 -0.6587354 -0.6212014 0.6325882 1.6293857 -0.6325882
## X286 0.6702404 -0.6587354 -0.6212014 0.6325882 1.6293857 1.5791449
## X287 0.6702404 -0.6587354 -0.6212014 0.6325882 1.6293857 1.5791449
## X288 0.6702404 -0.6587354 -0.6212014 0.6325882 1.6293857 -0.6325882
## X289 0.6702404 -0.6587354 -0.6212014 0.6325882 1.6293857 -0.6325882
## X290 0.6702404 -0.6587354 -0.6212014 0.6325882 1.6293857 1.5791449
## X291 -1.4904330 1.5164639 1.6080912 -1.5791449 -0.6130829 -0.6325882
## X292 0.6702404 -0.6587354 -0.6212014 0.6325882 1.6293857 1.5791449
## X293 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X294 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X295 0.6702404 -0.6587354 -0.6212014 0.6325882 1.6293857 -0.6325882
## X296 0.6702404 -0.6587354 -0.6212014 0.6325882 1.6293857 1.5791449
## X297 0.6702404 1.5164639 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X298 0.6702404 -0.6587354 -0.6212014 0.6325882 1.6293857 -0.6325882
## X299 0.6702404 -0.6587354 -0.6212014 0.6325882 1.6293857 1.5791449
## X300 -1.4904330 1.5164639 1.6080912 -1.5791449 -0.6130829 -0.6325882
## X301 0.6702404 1.5164639 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X302 0.6702404 -0.6587354 1.6080912 0.6325882 1.6293857 -0.6325882
## X303 0.6702404 1.5164639 -0.6212014 0.6325882 1.6293857 1.5791449
## X304 0.6702404 -0.6587354 -0.6212014 0.6325882 1.6293857 1.5791449
## X305 0.6702404 1.5164639 1.6080912 0.6325882 1.6293857 -0.6325882
## X306 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X307 0.6702404 1.5164639 -0.6212014 0.6325882 -0.6130829 1.5791449
## X308 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 1.5791449
## X309 0.6702404 1.5164639 -0.6212014 0.6325882 -0.6130829 1.5791449
## X310 0.6702404 1.5164639 1.6080912 0.6325882 -0.6130829 -0.6325882
## X311 -1.4904330 1.5164639 1.6080912 -1.5791449 -0.6130829 -0.6325882
## X312 0.6702404 -0.6587354 -0.6212014 0.6325882 1.6293857 -0.6325882
## X313 -1.4904330 1.5164639 1.6080912 0.6325882 -0.6130829 -0.6325882
## X314 -1.4904330 -0.6587354 -0.6212014 -1.5791449 -0.6130829 -0.6325882
## X315 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X316 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X317 -1.4904330 -0.6587354 -0.6212014 -1.5791449 -0.6130829 -0.6325882
## X318 0.6702404 1.5164639 1.6080912 0.6325882 -0.6130829 1.5791449
## X319 0.6702404 1.5164639 -0.6212014 0.6325882 1.6293857 1.5791449
## X320 0.6702404 1.5164639 -0.6212014 0.6325882 1.6293857 1.5791449
## X321 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X322 0.6702404 1.5164639 -0.6212014 0.6325882 1.6293857 -0.6325882
## X323 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 1.5791449
## X324 -1.4904330 -0.6587354 1.6080912 -1.5791449 -0.6130829 -0.6325882
## X325 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X326 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X327 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X328 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X329 -1.4904330 -0.6587354 1.6080912 -1.5791449 -0.6130829 -0.6325882
## X330 0.6702404 -0.6587354 -0.6212014 0.6325882 1.6293857 -0.6325882
## X331 0.6702404 -0.6587354 -0.6212014 0.6325882 1.6293857 -0.6325882
## X332 0.6702404 -0.6587354 -0.6212014 0.6325882 1.6293857 -0.6325882
## X333 0.6702404 1.5164639 1.6080912 0.6325882 -0.6130829 -0.6325882
## X334 0.6702404 -0.6587354 -0.6212014 0.6325882 1.6293857 -0.6325882
## X335 0.6702404 1.5164639 1.6080912 0.6325882 1.6293857 -0.6325882
## X336 0.6702404 -0.6587354 1.6080912 -1.5791449 -0.6130829 -0.6325882
## X337 0.6702404 -0.6587354 -0.6212014 0.6325882 1.6293857 1.5791449
## X338 0.6702404 -0.6587354 -0.6212014 0.6325882 1.6293857 -0.6325882
## X339 0.6702404 -0.6587354 -0.6212014 0.6325882 1.6293857 1.5791449
## X340 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X341 -1.4904330 -0.6587354 1.6080912 -1.5791449 -0.6130829 -0.6325882
## X342 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X343 0.6702404 1.5164639 -0.6212014 0.6325882 -0.6130829 1.5791449
## X344 0.6702404 1.5164639 -0.6212014 0.6325882 -0.6130829 1.5791449
## X345 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 1.5791449
## X346 0.6702404 -0.6587354 1.6080912 0.6325882 1.6293857 1.5791449
## X347 0.6702404 -0.6587354 1.6080912 0.6325882 -0.6130829 -0.6325882
## X348 0.6702404 1.5164639 -0.6212014 0.6325882 -0.6130829 1.5791449
## X349 0.6702404 -0.6587354 1.6080912 -1.5791449 -0.6130829 -0.6325882
## X350 0.6702404 1.5164639 -0.6212014 0.6325882 -0.6130829 1.5791449
## X351 -1.4904330 -0.6587354 1.6080912 -1.5791449 -0.6130829 -0.6325882
## X352 -1.4904330 1.5164639 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X353 0.6702404 1.5164639 1.6080912 0.6325882 1.6293857 -0.6325882
## X354 0.6702404 1.5164639 1.6080912 0.6325882 -0.6130829 1.5791449
## X355 -1.4904330 -0.6587354 -0.6212014 -1.5791449 -0.6130829 -0.6325882
## X356 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X357 0.6702404 1.5164639 -0.6212014 0.6325882 -0.6130829 1.5791449
## X358 -1.4904330 -0.6587354 1.6080912 -1.5791449 -0.6130829 -0.6325882
## X359 0.6702404 -0.6587354 1.6080912 0.6325882 1.6293857 1.5791449
## X360 0.6702404 -0.6587354 1.6080912 0.6325882 -0.6130829 -0.6325882
## X361 0.6702404 1.5164639 1.6080912 0.6325882 -0.6130829 -0.6325882
## X362 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X363 0.6702404 -0.6587354 -0.6212014 0.6325882 1.6293857 1.5791449
## X364 -1.4904330 -0.6587354 -0.6212014 -1.5791449 -0.6130829 -0.6325882
## X365 0.6702404 -0.6587354 -0.6212014 0.6325882 1.6293857 -0.6325882
## X366 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X367 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X368 -1.4904330 -0.6587354 1.6080912 0.6325882 -0.6130829 -0.6325882
## X369 0.6702404 1.5164639 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X370 0.6702404 -0.6587354 -0.6212014 0.6325882 1.6293857 1.5791449
## X371 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X372 0.6702404 -0.6587354 -0.6212014 0.6325882 1.6293857 -0.6325882
## X373 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X374 0.6702404 -0.6587354 -0.6212014 0.6325882 1.6293857 1.5791449
## X375 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 1.5791449
## X376 0.6702404 1.5164639 1.6080912 0.6325882 -0.6130829 -0.6325882
## X377 0.6702404 -0.6587354 1.6080912 0.6325882 -0.6130829 -0.6325882
## X378 0.6702404 1.5164639 1.6080912 0.6325882 1.6293857 1.5791449
## X379 -1.4904330 -0.6587354 1.6080912 -1.5791449 -0.6130829 -0.6325882
## X380 -1.4904330 -0.6587354 -0.6212014 -1.5791449 -0.6130829 -0.6325882
## X381 0.6702404 1.5164639 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X382 0.6702404 1.5164639 -0.6212014 0.6325882 1.6293857 1.5791449
## X383 0.6702404 1.5164639 1.6080912 0.6325882 -0.6130829 -0.6325882
## X384 0.6702404 -0.6587354 1.6080912 0.6325882 -0.6130829 -0.6325882
## X385 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X386 0.6702404 -0.6587354 -0.6212014 0.6325882 1.6293857 1.5791449
## X387 0.6702404 -0.6587354 1.6080912 0.6325882 -0.6130829 1.5791449
## X388 0.6702404 -0.6587354 -0.6212014 0.6325882 1.6293857 -0.6325882
## X389 0.6702404 1.5164639 -0.6212014 0.6325882 1.6293857 1.5791449
## X390 0.6702404 -0.6587354 1.6080912 0.6325882 -0.6130829 1.5791449
## X391 0.6702404 -0.6587354 1.6080912 0.6325882 -0.6130829 -0.6325882
## X392 0.6702404 1.5164639 1.6080912 0.6325882 -0.6130829 -0.6325882
## X393 0.6702404 -0.6587354 1.6080912 0.6325882 -0.6130829 -0.6325882
## X394 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X395 0.6702404 1.5164639 1.6080912 0.6325882 1.6293857 -0.6325882
## X396 -1.4904330 -0.6587354 1.6080912 0.6325882 -0.6130829 -0.6325882
## X397 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X398 0.6702404 -0.6587354 1.6080912 0.6325882 -0.6130829 -0.6325882
## X399 0.6702404 -0.6587354 -0.6212014 -1.5791449 -0.6130829 -0.6325882
## X400 0.6702404 -0.6587354 -0.6212014 0.6325882 1.6293857 -0.6325882
## X401 0.6702404 -0.6587354 -0.6212014 0.6325882 1.6293857 1.5791449
## X402 0.6702404 -0.6587354 -0.6212014 0.6325882 1.6293857 -0.6325882
## X403 0.6702404 -0.6587354 1.6080912 0.6325882 -0.6130829 -0.6325882
## X404 -1.4904330 -0.6587354 1.6080912 -1.5791449 -0.6130829 -0.6325882
## X405 -1.4904330 -0.6587354 -0.6212014 0.6325882 -0.6130829 1.5791449
## X406 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X407 0.6702404 -0.6587354 -0.6212014 0.6325882 1.6293857 1.5791449
## X408 -1.4904330 -0.6587354 -0.6212014 -1.5791449 -0.6130829 -0.6325882
## X409 0.6702404 -0.6587354 -0.6212014 0.6325882 1.6293857 1.5791449
## X410 0.6702404 -0.6587354 -0.6212014 0.6325882 1.6293857 1.5791449
## X411 0.6702404 1.5164639 -0.6212014 0.6325882 -0.6130829 1.5791449
## X412 0.6702404 -0.6587354 -0.6212014 0.6325882 1.6293857 1.5791449
## X413 0.6702404 -0.6587354 -0.6212014 0.6325882 1.6293857 1.5791449
## X414 -1.4904330 1.5164639 1.6080912 -1.5791449 1.6293857 -0.6325882
## X415 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X416 0.6702404 -0.6587354 -0.6212014 -1.5791449 -0.6130829 -0.6325882
## X417 0.6702404 -0.6587354 -0.6212014 0.6325882 1.6293857 1.5791449
## X418 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X419 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X420 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X421 0.6702404 -0.6587354 -0.6212014 0.6325882 1.6293857 -0.6325882
## X422 0.6702404 1.5164639 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X423 0.6702404 1.5164639 1.6080912 0.6325882 -0.6130829 -0.6325882
## X424 0.6702404 1.5164639 -0.6212014 0.6325882 1.6293857 1.5791449
## X425 0.6702404 1.5164639 1.6080912 0.6325882 -0.6130829 -0.6325882
## X426 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X427 -1.4904330 -0.6587354 -0.6212014 -1.5791449 -0.6130829 -0.6325882
## X428 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X429 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X430 0.6702404 -0.6587354 -0.6212014 0.6325882 1.6293857 -0.6325882
## X431 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X432 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X433 0.6702404 -0.6587354 -0.6212014 -1.5791449 -0.6130829 -0.6325882
## X434 0.6702404 -0.6587354 -0.6212014 0.6325882 1.6293857 1.5791449
## X435 -1.4904330 -0.6587354 1.6080912 -1.5791449 -0.6130829 -0.6325882
## X436 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X437 0.6702404 -0.6587354 1.6080912 0.6325882 1.6293857 1.5791449
## X438 0.6702404 1.5164639 1.6080912 0.6325882 -0.6130829 -0.6325882
## X439 -1.4904330 -0.6587354 1.6080912 -1.5791449 -0.6130829 -0.6325882
## X440 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X441 0.6702404 -0.6587354 1.6080912 0.6325882 -0.6130829 1.5791449
## X442 0.6702404 1.5164639 1.6080912 0.6325882 -0.6130829 1.5791449
## X443 0.6702404 -0.6587354 -0.6212014 0.6325882 1.6293857 1.5791449
## X444 -1.4904330 1.5164639 1.6080912 -1.5791449 1.6293857 -0.6325882
## X445 -1.4904330 1.5164639 1.6080912 0.6325882 -0.6130829 -0.6325882
## X446 0.6702404 -0.6587354 -0.6212014 0.6325882 1.6293857 -0.6325882
## X447 -1.4904330 1.5164639 1.6080912 -1.5791449 -0.6130829 -0.6325882
## X448 0.6702404 1.5164639 -0.6212014 0.6325882 -0.6130829 -0.6325882
## X449 0.6702404 1.5164639 -0.6212014 0.6325882 -0.6130829 1.5791449
## X450 -1.4904330 -0.6587354 -0.6212014 0.6325882 1.6293857 1.5791449
## X451 -1.4904330 -0.6587354 1.6080912 -1.5791449 -0.6130829 -0.6325882
## X452 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 1.5791449
## X453 0.6702404 -0.6587354 -0.6212014 0.6325882 -0.6130829 1.5791449
## X454 0.6702404 1.5164639 -0.6212014 0.6325882 -0.6130829 1.5791449
## FP085 FP086 FP087 FP088 FP089 FP090
## X1 -0.585542 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X2 1.706024 -0.6065954 0.6130829 1.6736342 1.7445930 1.7347883
## X3 -0.585542 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X4 -0.585542 1.6468118 0.6130829 -0.5968738 -0.5725969 1.7347883
## X5 -0.585542 1.6468118 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X6 -0.585542 -0.6065954 -1.6293857 -0.5968738 -0.5725969 -0.5758331
## X7 1.706024 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X8 -0.585542 1.6468118 -1.6293857 1.6736342 -0.5725969 1.7347883
## X9 -0.585542 1.6468118 0.6130829 1.6736342 -0.5725969 1.7347883
## X10 -0.585542 1.6468118 0.6130829 -0.5968738 -0.5725969 1.7347883
## X11 1.706024 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X12 -0.585542 1.6468118 0.6130829 1.6736342 -0.5725969 1.7347883
## X13 -0.585542 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X14 -0.585542 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X15 -0.585542 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X16 -0.585542 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X17 1.706024 1.6468118 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X18 1.706024 -0.6065954 0.6130829 1.6736342 1.7445930 1.7347883
## X19 -0.585542 1.6468118 0.6130829 1.6736342 -0.5725969 1.7347883
## X20 -0.585542 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X21 1.706024 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X22 1.706024 1.6468118 0.6130829 -0.5968738 1.7445930 -0.5758331
## X23 1.706024 1.6468118 0.6130829 1.6736342 -0.5725969 1.7347883
## X24 -0.585542 -0.6065954 0.6130829 -0.5968738 -0.5725969 1.7347883
## X25 -0.585542 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X26 -0.585542 -0.6065954 0.6130829 -0.5968738 -0.5725969 1.7347883
## X27 1.706024 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X28 -0.585542 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X29 -0.585542 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X30 1.706024 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X31 -0.585542 1.6468118 -1.6293857 -0.5968738 -0.5725969 1.7347883
## X32 -0.585542 -0.6065954 -1.6293857 -0.5968738 -0.5725969 -0.5758331
## X33 -0.585542 1.6468118 0.6130829 -0.5968738 -0.5725969 1.7347883
## X34 -0.585542 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X35 1.706024 1.6468118 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X36 -0.585542 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X37 -0.585542 1.6468118 0.6130829 -0.5968738 -0.5725969 1.7347883
## X38 -0.585542 1.6468118 0.6130829 1.6736342 -0.5725969 1.7347883
## X39 -0.585542 -0.6065954 0.6130829 -0.5968738 1.7445930 1.7347883
## X40 1.706024 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X41 -0.585542 1.6468118 0.6130829 1.6736342 -0.5725969 1.7347883
## X42 -0.585542 -0.6065954 0.6130829 -0.5968738 -0.5725969 1.7347883
## X43 -0.585542 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X44 1.706024 1.6468118 0.6130829 -0.5968738 1.7445930 1.7347883
## X45 -0.585542 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X46 -0.585542 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X47 -0.585542 1.6468118 -1.6293857 -0.5968738 -0.5725969 1.7347883
## X48 -0.585542 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X49 1.706024 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X50 1.706024 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X51 1.706024 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X52 -0.585542 1.6468118 -1.6293857 -0.5968738 -0.5725969 1.7347883
## X53 1.706024 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X54 -0.585542 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X55 1.706024 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X56 -0.585542 1.6468118 0.6130829 1.6736342 -0.5725969 1.7347883
## X57 -0.585542 1.6468118 0.6130829 1.6736342 -0.5725969 1.7347883
## X58 -0.585542 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X59 1.706024 -0.6065954 0.6130829 1.6736342 -0.5725969 -0.5758331
## X60 1.706024 1.6468118 0.6130829 1.6736342 1.7445930 -0.5758331
## X61 -0.585542 1.6468118 -1.6293857 1.6736342 -0.5725969 1.7347883
## X62 -0.585542 1.6468118 -1.6293857 1.6736342 -0.5725969 1.7347883
## X63 1.706024 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X64 -0.585542 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X65 1.706024 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X66 -0.585542 1.6468118 -1.6293857 1.6736342 -0.5725969 1.7347883
## X67 1.706024 1.6468118 0.6130829 1.6736342 1.7445930 1.7347883
## X68 -0.585542 1.6468118 0.6130829 1.6736342 -0.5725969 1.7347883
## X69 -0.585542 -0.6065954 0.6130829 -0.5968738 -0.5725969 1.7347883
## X70 1.706024 1.6468118 0.6130829 -0.5968738 1.7445930 1.7347883
## X71 -0.585542 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X72 -0.585542 1.6468118 -1.6293857 -0.5968738 -0.5725969 1.7347883
## X73 -0.585542 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X74 -0.585542 1.6468118 -1.6293857 -0.5968738 -0.5725969 -0.5758331
## X75 -0.585542 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X76 -0.585542 1.6468118 0.6130829 1.6736342 -0.5725969 1.7347883
## X77 1.706024 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X78 1.706024 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X79 -0.585542 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X80 -0.585542 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X81 -0.585542 1.6468118 0.6130829 1.6736342 -0.5725969 1.7347883
## X82 -0.585542 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X83 1.706024 1.6468118 0.6130829 -0.5968738 1.7445930 -0.5758331
## X84 1.706024 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X85 1.706024 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X86 -0.585542 1.6468118 -1.6293857 -0.5968738 -0.5725969 1.7347883
## X87 -0.585542 1.6468118 -1.6293857 -0.5968738 -0.5725969 1.7347883
## X88 -0.585542 -0.6065954 0.6130829 1.6736342 1.7445930 -0.5758331
## X89 1.706024 -0.6065954 0.6130829 -0.5968738 1.7445930 1.7347883
## X90 -0.585542 1.6468118 -1.6293857 -0.5968738 -0.5725969 -0.5758331
## X91 -0.585542 1.6468118 0.6130829 1.6736342 -0.5725969 1.7347883
## X92 -0.585542 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X93 -0.585542 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X94 -0.585542 1.6468118 -1.6293857 1.6736342 -0.5725969 1.7347883
## X95 1.706024 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X96 1.706024 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X97 -0.585542 1.6468118 -1.6293857 -0.5968738 -0.5725969 1.7347883
## X98 1.706024 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X99 -0.585542 1.6468118 0.6130829 1.6736342 -0.5725969 1.7347883
## X100 1.706024 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X101 1.706024 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X102 1.706024 1.6468118 0.6130829 -0.5968738 1.7445930 -0.5758331
## X103 -0.585542 1.6468118 -1.6293857 1.6736342 -0.5725969 1.7347883
## X104 -0.585542 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X105 -0.585542 -0.6065954 0.6130829 -0.5968738 -0.5725969 1.7347883
## X106 -0.585542 1.6468118 0.6130829 1.6736342 -0.5725969 1.7347883
## X107 1.706024 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X108 -0.585542 1.6468118 0.6130829 1.6736342 -0.5725969 1.7347883
## X109 -0.585542 -0.6065954 -1.6293857 -0.5968738 -0.5725969 -0.5758331
## X110 1.706024 1.6468118 0.6130829 1.6736342 1.7445930 -0.5758331
## X111 1.706024 1.6468118 0.6130829 1.6736342 1.7445930 -0.5758331
## X112 -0.585542 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X113 -0.585542 1.6468118 -1.6293857 1.6736342 -0.5725969 1.7347883
## X114 1.706024 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X115 1.706024 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X116 1.706024 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X117 -0.585542 1.6468118 -1.6293857 1.6736342 -0.5725969 1.7347883
## X118 1.706024 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X119 -0.585542 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X120 -0.585542 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X121 -0.585542 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X122 1.706024 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X123 1.706024 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X124 1.706024 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X125 1.706024 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X126 1.706024 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X127 1.706024 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X128 -0.585542 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X129 1.706024 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X130 1.706024 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X131 -0.585542 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X132 1.706024 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X133 -0.585542 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X134 -0.585542 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X135 -0.585542 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X136 1.706024 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X137 1.706024 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X138 -0.585542 1.6468118 0.6130829 1.6736342 -0.5725969 1.7347883
## X139 1.706024 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X140 -0.585542 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X141 1.706024 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X142 1.706024 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X143 1.706024 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X144 1.706024 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X145 1.706024 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X146 1.706024 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X147 1.706024 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X148 1.706024 1.6468118 0.6130829 -0.5968738 1.7445930 -0.5758331
## X149 1.706024 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X150 1.706024 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X151 -0.585542 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X152 -0.585542 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X153 1.706024 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X154 1.706024 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X155 1.706024 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X156 -0.585542 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X157 1.706024 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X158 1.706024 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X159 1.706024 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X160 -0.585542 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X161 -0.585542 1.6468118 -1.6293857 -0.5968738 -0.5725969 1.7347883
## X162 -0.585542 1.6468118 0.6130829 1.6736342 -0.5725969 1.7347883
## X163 1.706024 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X164 -0.585542 1.6468118 0.6130829 1.6736342 -0.5725969 1.7347883
## X165 1.706024 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X166 -0.585542 1.6468118 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X167 -0.585542 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X168 -0.585542 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X169 -0.585542 1.6468118 -1.6293857 -0.5968738 -0.5725969 -0.5758331
## X170 1.706024 1.6468118 0.6130829 -0.5968738 1.7445930 -0.5758331
## X171 -0.585542 1.6468118 0.6130829 1.6736342 -0.5725969 1.7347883
## X172 -0.585542 -0.6065954 0.6130829 -0.5968738 -0.5725969 1.7347883
## X173 1.706024 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X174 1.706024 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X175 -0.585542 -0.6065954 -1.6293857 -0.5968738 -0.5725969 -0.5758331
## X176 1.706024 1.6468118 0.6130829 -0.5968738 1.7445930 -0.5758331
## X177 -0.585542 1.6468118 0.6130829 1.6736342 -0.5725969 1.7347883
## X178 1.706024 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X179 -0.585542 1.6468118 0.6130829 1.6736342 -0.5725969 1.7347883
## X180 1.706024 1.6468118 0.6130829 1.6736342 -0.5725969 1.7347883
## X181 1.706024 1.6468118 0.6130829 -0.5968738 1.7445930 -0.5758331
## X182 -0.585542 1.6468118 0.6130829 1.6736342 -0.5725969 1.7347883
## X183 -0.585542 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X184 1.706024 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X185 -0.585542 -0.6065954 0.6130829 -0.5968738 1.7445930 1.7347883
## X186 -0.585542 -0.6065954 0.6130829 1.6736342 1.7445930 1.7347883
## X187 -0.585542 1.6468118 -1.6293857 -0.5968738 -0.5725969 1.7347883
## X188 1.706024 1.6468118 0.6130829 -0.5968738 1.7445930 -0.5758331
## X189 1.706024 1.6468118 0.6130829 -0.5968738 1.7445930 1.7347883
## X190 1.706024 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X191 -0.585542 1.6468118 0.6130829 1.6736342 -0.5725969 1.7347883
## X192 1.706024 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X193 -0.585542 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X194 -0.585542 1.6468118 0.6130829 1.6736342 -0.5725969 1.7347883
## X195 1.706024 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X196 -0.585542 1.6468118 0.6130829 1.6736342 -0.5725969 1.7347883
## X197 1.706024 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X198 -0.585542 -0.6065954 -1.6293857 -0.5968738 -0.5725969 -0.5758331
## X199 -0.585542 -0.6065954 -1.6293857 -0.5968738 -0.5725969 -0.5758331
## X200 -0.585542 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X201 -0.585542 1.6468118 0.6130829 -0.5968738 -0.5725969 1.7347883
## X202 1.706024 1.6468118 0.6130829 1.6736342 1.7445930 1.7347883
## X203 -0.585542 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X204 1.706024 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X205 -0.585542 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X206 1.706024 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X207 -0.585542 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X208 -0.585542 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X209 -0.585542 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X210 -0.585542 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X211 1.706024 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X212 -0.585542 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X213 1.706024 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X214 -0.585542 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X215 -0.585542 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X216 1.706024 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X217 1.706024 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X218 1.706024 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X219 -0.585542 1.6468118 -1.6293857 1.6736342 -0.5725969 1.7347883
## X220 1.706024 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X221 -0.585542 1.6468118 -1.6293857 1.6736342 -0.5725969 1.7347883
## X222 -0.585542 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X223 -0.585542 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X224 1.706024 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X225 1.706024 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X226 -0.585542 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X227 1.706024 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X228 1.706024 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X229 1.706024 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X230 -0.585542 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X231 1.706024 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X232 1.706024 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X233 -0.585542 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X234 -0.585542 1.6468118 0.6130829 1.6736342 -0.5725969 1.7347883
## X235 -0.585542 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X236 1.706024 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X237 -0.585542 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X238 -0.585542 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X239 1.706024 -0.6065954 0.6130829 1.6736342 -0.5725969 -0.5758331
## X240 1.706024 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X241 -0.585542 1.6468118 -1.6293857 -0.5968738 -0.5725969 -0.5758331
## X242 -0.585542 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X243 -0.585542 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X244 -0.585542 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X245 1.706024 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X246 -0.585542 1.6468118 0.6130829 1.6736342 -0.5725969 -0.5758331
## X247 -0.585542 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X248 -0.585542 1.6468118 -1.6293857 1.6736342 -0.5725969 1.7347883
## X249 -0.585542 -0.6065954 0.6130829 -0.5968738 -0.5725969 1.7347883
## X250 -0.585542 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X251 -0.585542 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X252 -0.585542 -0.6065954 0.6130829 -0.5968738 1.7445930 1.7347883
## X253 -0.585542 -0.6065954 -1.6293857 -0.5968738 -0.5725969 -0.5758331
## X254 -0.585542 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X255 1.706024 -0.6065954 0.6130829 1.6736342 -0.5725969 -0.5758331
## X256 -0.585542 1.6468118 -1.6293857 1.6736342 -0.5725969 1.7347883
## X257 -0.585542 -0.6065954 0.6130829 1.6736342 -0.5725969 -0.5758331
## X258 -0.585542 1.6468118 -1.6293857 -0.5968738 -0.5725969 -0.5758331
## X259 -0.585542 -0.6065954 0.6130829 -0.5968738 -0.5725969 1.7347883
## X260 -0.585542 -0.6065954 0.6130829 1.6736342 1.7445930 -0.5758331
## X261 1.706024 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X262 -0.585542 -0.6065954 -1.6293857 -0.5968738 -0.5725969 1.7347883
## X263 -0.585542 -0.6065954 -1.6293857 -0.5968738 -0.5725969 1.7347883
## X264 -0.585542 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X265 -0.585542 -0.6065954 -1.6293857 -0.5968738 -0.5725969 -0.5758331
## X266 -0.585542 -0.6065954 -1.6293857 -0.5968738 -0.5725969 -0.5758331
## X267 -0.585542 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X268 -0.585542 1.6468118 -1.6293857 1.6736342 -0.5725969 1.7347883
## X269 -0.585542 1.6468118 0.6130829 1.6736342 -0.5725969 1.7347883
## X270 -0.585542 1.6468118 0.6130829 1.6736342 -0.5725969 -0.5758331
## X271 1.706024 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X272 1.706024 -0.6065954 0.6130829 1.6736342 -0.5725969 -0.5758331
## X273 -0.585542 1.6468118 -1.6293857 -0.5968738 -0.5725969 1.7347883
## X274 -0.585542 1.6468118 0.6130829 -0.5968738 -0.5725969 1.7347883
## X275 -0.585542 1.6468118 -1.6293857 1.6736342 -0.5725969 1.7347883
## X276 1.706024 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X277 -0.585542 -0.6065954 0.6130829 -0.5968738 1.7445930 1.7347883
## X278 1.706024 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X279 -0.585542 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X280 1.706024 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X281 1.706024 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X282 1.706024 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X283 -0.585542 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X284 1.706024 -0.6065954 0.6130829 -0.5968738 -0.5725969 1.7347883
## X285 -0.585542 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X286 -0.585542 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X287 1.706024 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X288 1.706024 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X289 1.706024 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X290 -0.585542 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X291 -0.585542 1.6468118 -1.6293857 -0.5968738 -0.5725969 -0.5758331
## X292 1.706024 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X293 -0.585542 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X294 -0.585542 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X295 -0.585542 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X296 -0.585542 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X297 -0.585542 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X298 1.706024 -0.6065954 0.6130829 1.6736342 -0.5725969 -0.5758331
## X299 -0.585542 -0.6065954 0.6130829 -0.5968738 -0.5725969 1.7347883
## X300 -0.585542 1.6468118 -1.6293857 1.6736342 -0.5725969 1.7347883
## X301 -0.585542 1.6468118 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X302 -0.585542 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X303 -0.585542 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X304 1.706024 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X305 -0.585542 1.6468118 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X306 1.706024 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X307 -0.585542 -0.6065954 0.6130829 -0.5968738 1.7445930 1.7347883
## X308 1.706024 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X309 -0.585542 -0.6065954 0.6130829 -0.5968738 1.7445930 1.7347883
## X310 -0.585542 1.6468118 0.6130829 1.6736342 -0.5725969 1.7347883
## X311 -0.585542 1.6468118 -1.6293857 -0.5968738 -0.5725969 1.7347883
## X312 1.706024 1.6468118 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X313 -0.585542 1.6468118 -1.6293857 -0.5968738 -0.5725969 1.7347883
## X314 -0.585542 -0.6065954 -1.6293857 -0.5968738 -0.5725969 -0.5758331
## X315 -0.585542 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X316 -0.585542 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X317 -0.585542 -0.6065954 -1.6293857 -0.5968738 -0.5725969 -0.5758331
## X318 1.706024 1.6468118 0.6130829 -0.5968738 1.7445930 -0.5758331
## X319 -0.585542 1.6468118 0.6130829 1.6736342 -0.5725969 -0.5758331
## X320 -0.585542 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X321 1.706024 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X322 1.706024 1.6468118 0.6130829 -0.5968738 -0.5725969 1.7347883
## X323 -0.585542 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X324 -0.585542 1.6468118 -1.6293857 -0.5968738 -0.5725969 -0.5758331
## X325 1.706024 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X326 -0.585542 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X327 1.706024 1.6468118 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X328 -0.585542 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X329 -0.585542 1.6468118 -1.6293857 -0.5968738 -0.5725969 1.7347883
## X330 1.706024 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X331 1.706024 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X332 -0.585542 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X333 1.706024 -0.6065954 0.6130829 1.6736342 -0.5725969 1.7347883
## X334 1.706024 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X335 -0.585542 1.6468118 0.6130829 1.6736342 -0.5725969 1.7347883
## X336 -0.585542 1.6468118 0.6130829 -0.5968738 -0.5725969 1.7347883
## X337 -0.585542 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X338 -0.585542 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X339 1.706024 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X340 1.706024 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X341 -0.585542 1.6468118 -1.6293857 1.6736342 -0.5725969 1.7347883
## X342 1.706024 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X343 1.706024 -0.6065954 0.6130829 1.6736342 -0.5725969 1.7347883
## X344 1.706024 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X345 -0.585542 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X346 -0.585542 1.6468118 0.6130829 -0.5968738 -0.5725969 1.7347883
## X347 -0.585542 1.6468118 0.6130829 1.6736342 -0.5725969 1.7347883
## X348 -0.585542 -0.6065954 0.6130829 -0.5968738 1.7445930 1.7347883
## X349 -0.585542 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X350 1.706024 -0.6065954 0.6130829 1.6736342 1.7445930 -0.5758331
## X351 -0.585542 1.6468118 -1.6293857 1.6736342 -0.5725969 1.7347883
## X352 -0.585542 1.6468118 -1.6293857 -0.5968738 -0.5725969 -0.5758331
## X353 -0.585542 1.6468118 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X354 1.706024 1.6468118 0.6130829 -0.5968738 1.7445930 -0.5758331
## X355 -0.585542 -0.6065954 -1.6293857 1.6736342 -0.5725969 1.7347883
## X356 -0.585542 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X357 1.706024 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X358 -0.585542 1.6468118 -1.6293857 1.6736342 -0.5725969 1.7347883
## X359 -0.585542 1.6468118 0.6130829 -0.5968738 -0.5725969 1.7347883
## X360 -0.585542 1.6468118 0.6130829 1.6736342 -0.5725969 1.7347883
## X361 -0.585542 1.6468118 0.6130829 1.6736342 -0.5725969 -0.5758331
## X362 1.706024 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X363 -0.585542 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X364 -0.585542 -0.6065954 0.6130829 -0.5968738 -0.5725969 1.7347883
## X365 1.706024 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X366 -0.585542 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X367 1.706024 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X368 -0.585542 -0.6065954 -1.6293857 -0.5968738 -0.5725969 -0.5758331
## X369 -0.585542 1.6468118 0.6130829 -0.5968738 1.7445930 -0.5758331
## X370 1.706024 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X371 1.706024 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X372 1.706024 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X373 -0.585542 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X374 1.706024 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X375 -0.585542 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X376 -0.585542 1.6468118 0.6130829 1.6736342 -0.5725969 1.7347883
## X377 -0.585542 1.6468118 0.6130829 1.6736342 -0.5725969 1.7347883
## X378 1.706024 1.6468118 0.6130829 -0.5968738 1.7445930 -0.5758331
## X379 -0.585542 1.6468118 -1.6293857 -0.5968738 -0.5725969 1.7347883
## X380 -0.585542 -0.6065954 -1.6293857 -0.5968738 -0.5725969 -0.5758331
## X381 1.706024 -0.6065954 0.6130829 1.6736342 -0.5725969 -0.5758331
## X382 -0.585542 -0.6065954 0.6130829 -0.5968738 -0.5725969 1.7347883
## X383 -0.585542 1.6468118 0.6130829 1.6736342 -0.5725969 1.7347883
## X384 -0.585542 1.6468118 0.6130829 1.6736342 -0.5725969 1.7347883
## X385 -0.585542 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X386 -0.585542 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X387 -0.585542 1.6468118 0.6130829 -0.5968738 1.7445930 -0.5758331
## X388 1.706024 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X389 -0.585542 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X390 -0.585542 1.6468118 0.6130829 -0.5968738 1.7445930 -0.5758331
## X391 -0.585542 1.6468118 0.6130829 1.6736342 -0.5725969 1.7347883
## X392 -0.585542 1.6468118 0.6130829 1.6736342 -0.5725969 1.7347883
## X393 -0.585542 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X394 -0.585542 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X395 -0.585542 1.6468118 0.6130829 1.6736342 -0.5725969 1.7347883
## X396 -0.585542 -0.6065954 -1.6293857 -0.5968738 -0.5725969 -0.5758331
## X397 -0.585542 -0.6065954 0.6130829 1.6736342 1.7445930 -0.5758331
## X398 -0.585542 1.6468118 0.6130829 1.6736342 -0.5725969 1.7347883
## X399 -0.585542 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X400 -0.585542 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X401 -0.585542 1.6468118 0.6130829 -0.5968738 1.7445930 -0.5758331
## X402 -0.585542 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X403 1.706024 1.6468118 0.6130829 -0.5968738 -0.5725969 1.7347883
## X404 -0.585542 1.6468118 -1.6293857 1.6736342 -0.5725969 1.7347883
## X405 -0.585542 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X406 -0.585542 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X407 1.706024 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X408 -0.585542 1.6468118 -1.6293857 -0.5968738 -0.5725969 -0.5758331
## X409 -0.585542 -0.6065954 0.6130829 -0.5968738 -0.5725969 1.7347883
## X410 1.706024 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X411 1.706024 -0.6065954 0.6130829 1.6736342 -0.5725969 -0.5758331
## X412 -0.585542 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X413 1.706024 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X414 -0.585542 1.6468118 -1.6293857 -0.5968738 -0.5725969 1.7347883
## X415 -0.585542 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X416 -0.585542 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X417 -0.585542 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X418 -0.585542 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X419 -0.585542 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X420 1.706024 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X421 1.706024 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X422 1.706024 -0.6065954 0.6130829 1.6736342 -0.5725969 -0.5758331
## X423 -0.585542 1.6468118 0.6130829 1.6736342 -0.5725969 1.7347883
## X424 1.706024 -0.6065954 0.6130829 -0.5968738 -0.5725969 1.7347883
## X425 -0.585542 1.6468118 0.6130829 1.6736342 -0.5725969 1.7347883
## X426 1.706024 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X427 -0.585542 -0.6065954 -1.6293857 -0.5968738 -0.5725969 -0.5758331
## X428 -0.585542 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X429 1.706024 -0.6065954 0.6130829 -0.5968738 -0.5725969 1.7347883
## X430 -0.585542 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X431 -0.585542 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X432 1.706024 -0.6065954 0.6130829 1.6736342 -0.5725969 -0.5758331
## X433 -0.585542 -0.6065954 0.6130829 -0.5968738 -0.5725969 1.7347883
## X434 -0.585542 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X435 -0.585542 1.6468118 -1.6293857 1.6736342 -0.5725969 1.7347883
## X436 -0.585542 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X437 -0.585542 -0.6065954 0.6130829 1.6736342 -0.5725969 -0.5758331
## X438 -0.585542 1.6468118 0.6130829 1.6736342 -0.5725969 1.7347883
## X439 -0.585542 -0.6065954 -1.6293857 -0.5968738 -0.5725969 -0.5758331
## X440 -0.585542 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X441 -0.585542 1.6468118 0.6130829 1.6736342 1.7445930 -0.5758331
## X442 1.706024 1.6468118 0.6130829 -0.5968738 -0.5725969 1.7347883
## X443 1.706024 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X444 -0.585542 1.6468118 -1.6293857 1.6736342 -0.5725969 1.7347883
## X445 -0.585542 1.6468118 -1.6293857 -0.5968738 -0.5725969 1.7347883
## X446 -0.585542 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X447 -0.585542 1.6468118 -1.6293857 1.6736342 -0.5725969 1.7347883
## X448 -0.585542 -0.6065954 0.6130829 -0.5968738 -0.5725969 1.7347883
## X449 1.706024 -0.6065954 0.6130829 -0.5968738 -0.5725969 1.7347883
## X450 1.706024 -0.6065954 0.6130829 -0.5968738 -0.5725969 -0.5758331
## X451 -0.585542 1.6468118 -1.6293857 1.6736342 -0.5725969 1.7347883
## X452 1.706024 -0.6065954 0.6130829 1.6736342 1.7445930 -0.5758331
## X453 1.706024 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## X454 1.706024 -0.6065954 0.6130829 -0.5968738 1.7445930 -0.5758331
## FP091 FP092 FP093 FP094 FP095 FP096
## X1 1.8548056 -0.5677421 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X2 1.8548056 -0.5677421 1.7595110 -0.5483075 -0.5304479 -0.5271937
## X3 -0.5385731 -0.5677421 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X4 -0.5385731 -0.5677421 1.7595110 -0.5483075 -0.5304479 -0.5271937
## X5 1.8548056 1.7595110 -0.5677421 1.8218763 -0.5304479 -0.5271937
## X6 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X7 1.8548056 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X8 -0.5385731 -0.5677421 1.7595110 1.8218763 -0.5304479 -0.5271937
## X9 -0.5385731 1.7595110 1.7595110 -0.5483075 1.8832169 1.8948413
## X10 1.8548056 -0.5677421 1.7595110 -0.5483075 1.8832169 -0.5271937
## X11 -0.5385731 -0.5677421 -0.5677421 -0.5483075 -0.5304479 1.8948413
## X12 -0.5385731 -0.5677421 1.7595110 -0.5483075 -0.5304479 -0.5271937
## X13 -0.5385731 -0.5677421 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X14 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X15 -0.5385731 -0.5677421 -0.5677421 1.8218763 -0.5304479 -0.5271937
## X16 -0.5385731 -0.5677421 -0.5677421 -0.5483075 -0.5304479 1.8948413
## X17 1.8548056 -0.5677421 -0.5677421 1.8218763 -0.5304479 1.8948413
## X18 1.8548056 1.7595110 1.7595110 -0.5483075 -0.5304479 -0.5271937
## X19 -0.5385731 -0.5677421 1.7595110 -0.5483075 -0.5304479 -0.5271937
## X20 -0.5385731 -0.5677421 -0.5677421 1.8218763 -0.5304479 -0.5271937
## X21 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 1.8948413
## X22 1.8548056 -0.5677421 1.7595110 -0.5483075 -0.5304479 -0.5271937
## X23 -0.5385731 -0.5677421 1.7595110 1.8218763 -0.5304479 -0.5271937
## X24 1.8548056 1.7595110 1.7595110 -0.5483075 1.8832169 -0.5271937
## X25 -0.5385731 -0.5677421 -0.5677421 -0.5483075 -0.5304479 1.8948413
## X26 1.8548056 -0.5677421 1.7595110 -0.5483075 1.8832169 1.8948413
## X27 1.8548056 -0.5677421 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X28 1.8548056 -0.5677421 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X29 -0.5385731 -0.5677421 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X30 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X31 -0.5385731 -0.5677421 1.7595110 1.8218763 -0.5304479 -0.5271937
## X32 -0.5385731 -0.5677421 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X33 -0.5385731 -0.5677421 1.7595110 -0.5483075 -0.5304479 -0.5271937
## X34 -0.5385731 -0.5677421 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X35 -0.5385731 -0.5677421 -0.5677421 -0.5483075 -0.5304479 1.8948413
## X36 -0.5385731 -0.5677421 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X37 -0.5385731 -0.5677421 1.7595110 -0.5483075 -0.5304479 -0.5271937
## X38 -0.5385731 -0.5677421 1.7595110 -0.5483075 1.8832169 1.8948413
## X39 -0.5385731 -0.5677421 -0.5677421 1.8218763 1.8832169 -0.5271937
## X40 -0.5385731 1.7595110 -0.5677421 -0.5483075 1.8832169 -0.5271937
## X41 -0.5385731 -0.5677421 1.7595110 -0.5483075 1.8832169 1.8948413
## X42 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X43 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X44 1.8548056 1.7595110 1.7595110 -0.5483075 -0.5304479 -0.5271937
## X45 1.8548056 1.7595110 -0.5677421 -0.5483075 1.8832169 -0.5271937
## X46 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X47 -0.5385731 -0.5677421 1.7595110 1.8218763 -0.5304479 -0.5271937
## X48 1.8548056 -0.5677421 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X49 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X50 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X51 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X52 -0.5385731 -0.5677421 1.7595110 1.8218763 -0.5304479 -0.5271937
## X53 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X54 1.8548056 1.7595110 -0.5677421 1.8218763 1.8832169 -0.5271937
## X55 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X56 -0.5385731 -0.5677421 1.7595110 -0.5483075 -0.5304479 -0.5271937
## X57 -0.5385731 -0.5677421 1.7595110 1.8218763 -0.5304479 -0.5271937
## X58 -0.5385731 -0.5677421 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X59 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 1.8948413
## X60 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 1.8948413
## X61 -0.5385731 -0.5677421 1.7595110 1.8218763 -0.5304479 -0.5271937
## X62 -0.5385731 -0.5677421 1.7595110 1.8218763 -0.5304479 -0.5271937
## X63 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X64 -0.5385731 -0.5677421 1.7595110 -0.5483075 -0.5304479 -0.5271937
## X65 -0.5385731 -0.5677421 -0.5677421 -0.5483075 -0.5304479 1.8948413
## X66 -0.5385731 -0.5677421 1.7595110 1.8218763 -0.5304479 -0.5271937
## X67 1.8548056 1.7595110 1.7595110 -0.5483075 -0.5304479 -0.5271937
## X68 -0.5385731 1.7595110 1.7595110 1.8218763 1.8832169 1.8948413
## X69 -0.5385731 -0.5677421 1.7595110 1.8218763 -0.5304479 -0.5271937
## X70 1.8548056 -0.5677421 1.7595110 -0.5483075 -0.5304479 -0.5271937
## X71 -0.5385731 -0.5677421 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X72 -0.5385731 -0.5677421 1.7595110 1.8218763 -0.5304479 -0.5271937
## X73 -0.5385731 -0.5677421 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X74 1.8548056 -0.5677421 -0.5677421 1.8218763 -0.5304479 -0.5271937
## X75 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X76 -0.5385731 1.7595110 1.7595110 -0.5483075 1.8832169 1.8948413
## X77 -0.5385731 -0.5677421 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X78 1.8548056 1.7595110 -0.5677421 -0.5483075 1.8832169 -0.5271937
## X79 -0.5385731 -0.5677421 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X80 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 1.8948413
## X81 -0.5385731 1.7595110 1.7595110 -0.5483075 -0.5304479 1.8948413
## X82 -0.5385731 -0.5677421 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X83 1.8548056 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X84 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 1.8948413
## X85 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X86 -0.5385731 -0.5677421 1.7595110 1.8218763 -0.5304479 -0.5271937
## X87 -0.5385731 -0.5677421 1.7595110 1.8218763 -0.5304479 -0.5271937
## X88 -0.5385731 -0.5677421 -0.5677421 -0.5483075 -0.5304479 1.8948413
## X89 1.8548056 1.7595110 1.7595110 -0.5483075 1.8832169 1.8948413
## X90 -0.5385731 -0.5677421 1.7595110 1.8218763 -0.5304479 -0.5271937
## X91 -0.5385731 -0.5677421 1.7595110 -0.5483075 1.8832169 1.8948413
## X92 -0.5385731 -0.5677421 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X93 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X94 -0.5385731 -0.5677421 1.7595110 -0.5483075 -0.5304479 1.8948413
## X95 -0.5385731 -0.5677421 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X96 -0.5385731 1.7595110 -0.5677421 -0.5483075 1.8832169 1.8948413
## X97 -0.5385731 -0.5677421 1.7595110 1.8218763 -0.5304479 -0.5271937
## X98 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X99 -0.5385731 -0.5677421 1.7595110 -0.5483075 -0.5304479 -0.5271937
## X100 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X101 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X102 1.8548056 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X103 -0.5385731 -0.5677421 1.7595110 1.8218763 -0.5304479 -0.5271937
## X104 1.8548056 -0.5677421 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X105 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X106 -0.5385731 -0.5677421 1.7595110 -0.5483075 -0.5304479 -0.5271937
## X107 1.8548056 -0.5677421 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X108 -0.5385731 -0.5677421 1.7595110 -0.5483075 1.8832169 1.8948413
## X109 -0.5385731 -0.5677421 1.7595110 1.8218763 -0.5304479 1.8948413
## X110 -0.5385731 -0.5677421 -0.5677421 -0.5483075 -0.5304479 1.8948413
## X111 -0.5385731 -0.5677421 -0.5677421 1.8218763 -0.5304479 1.8948413
## X112 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X113 -0.5385731 -0.5677421 1.7595110 1.8218763 -0.5304479 -0.5271937
## X114 1.8548056 1.7595110 -0.5677421 -0.5483075 -0.5304479 1.8948413
## X115 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X116 1.8548056 1.7595110 -0.5677421 -0.5483075 1.8832169 -0.5271937
## X117 -0.5385731 -0.5677421 1.7595110 1.8218763 -0.5304479 -0.5271937
## X118 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X119 -0.5385731 -0.5677421 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X120 -0.5385731 -0.5677421 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X121 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X122 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X123 -0.5385731 -0.5677421 1.7595110 1.8218763 -0.5304479 1.8948413
## X124 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X125 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X126 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X127 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X128 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X129 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X130 -0.5385731 -0.5677421 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X131 -0.5385731 -0.5677421 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X132 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X133 -0.5385731 -0.5677421 -0.5677421 1.8218763 -0.5304479 -0.5271937
## X134 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X135 -0.5385731 -0.5677421 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X136 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X137 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X138 -0.5385731 -0.5677421 1.7595110 -0.5483075 -0.5304479 1.8948413
## X139 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X140 -0.5385731 -0.5677421 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X141 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X142 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X143 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X144 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X145 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X146 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X147 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X148 -0.5385731 -0.5677421 1.7595110 -0.5483075 -0.5304479 -0.5271937
## X149 -0.5385731 -0.5677421 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X150 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X151 -0.5385731 -0.5677421 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X152 1.8548056 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X153 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X154 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X155 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X156 -0.5385731 -0.5677421 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X157 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X158 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X159 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X160 -0.5385731 -0.5677421 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X161 -0.5385731 -0.5677421 1.7595110 1.8218763 -0.5304479 -0.5271937
## X162 -0.5385731 -0.5677421 1.7595110 -0.5483075 -0.5304479 -0.5271937
## X163 -0.5385731 -0.5677421 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X164 -0.5385731 -0.5677421 1.7595110 -0.5483075 -0.5304479 1.8948413
## X165 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X166 -0.5385731 -0.5677421 -0.5677421 1.8218763 -0.5304479 -0.5271937
## X167 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X168 1.8548056 -0.5677421 -0.5677421 -0.5483075 1.8832169 -0.5271937
## X169 -0.5385731 -0.5677421 1.7595110 1.8218763 -0.5304479 -0.5271937
## X170 -0.5385731 -0.5677421 -0.5677421 -0.5483075 -0.5304479 1.8948413
## X171 -0.5385731 1.7595110 1.7595110 -0.5483075 1.8832169 1.8948413
## X172 -0.5385731 -0.5677421 1.7595110 -0.5483075 -0.5304479 -0.5271937
## X173 1.8548056 -0.5677421 -0.5677421 -0.5483075 1.8832169 1.8948413
## X174 1.8548056 1.7595110 -0.5677421 -0.5483075 1.8832169 -0.5271937
## X175 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X176 1.8548056 -0.5677421 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X177 -0.5385731 -0.5677421 1.7595110 -0.5483075 -0.5304479 1.8948413
## X178 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X179 -0.5385731 -0.5677421 1.7595110 -0.5483075 1.8832169 1.8948413
## X180 -0.5385731 -0.5677421 1.7595110 -0.5483075 1.8832169 -0.5271937
## X181 1.8548056 -0.5677421 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X182 -0.5385731 1.7595110 1.7595110 -0.5483075 1.8832169 1.8948413
## X183 -0.5385731 -0.5677421 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X184 1.8548056 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X185 -0.5385731 -0.5677421 -0.5677421 1.8218763 1.8832169 -0.5271937
## X186 -0.5385731 1.7595110 1.7595110 -0.5483075 -0.5304479 -0.5271937
## X187 -0.5385731 -0.5677421 1.7595110 1.8218763 -0.5304479 -0.5271937
## X188 -0.5385731 -0.5677421 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X189 1.8548056 1.7595110 1.7595110 -0.5483075 -0.5304479 -0.5271937
## X190 -0.5385731 -0.5677421 -0.5677421 -0.5483075 -0.5304479 1.8948413
## X191 -0.5385731 -0.5677421 1.7595110 -0.5483075 1.8832169 1.8948413
## X192 -0.5385731 -0.5677421 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X193 -0.5385731 -0.5677421 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X194 -0.5385731 -0.5677421 1.7595110 -0.5483075 -0.5304479 -0.5271937
## X195 -0.5385731 -0.5677421 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X196 -0.5385731 -0.5677421 1.7595110 -0.5483075 -0.5304479 1.8948413
## X197 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 1.8948413
## X198 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X199 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X200 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X201 -0.5385731 -0.5677421 1.7595110 1.8218763 -0.5304479 -0.5271937
## X202 -0.5385731 -0.5677421 1.7595110 -0.5483075 -0.5304479 -0.5271937
## X203 -0.5385731 -0.5677421 -0.5677421 -0.5483075 -0.5304479 1.8948413
## X204 -0.5385731 1.7595110 1.7595110 1.8218763 -0.5304479 1.8948413
## X205 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X206 1.8548056 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X207 -0.5385731 1.7595110 1.7595110 1.8218763 -0.5304479 -0.5271937
## X208 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X209 -0.5385731 -0.5677421 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X210 -0.5385731 -0.5677421 1.7595110 -0.5483075 -0.5304479 -0.5271937
## X211 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X212 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X213 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X214 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 1.8948413
## X215 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X216 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X217 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X218 -0.5385731 -0.5677421 -0.5677421 -0.5483075 1.8832169 1.8948413
## X219 -0.5385731 -0.5677421 1.7595110 1.8218763 -0.5304479 -0.5271937
## X220 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X221 -0.5385731 -0.5677421 1.7595110 1.8218763 -0.5304479 -0.5271937
## X222 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X223 -0.5385731 -0.5677421 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X224 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X225 -0.5385731 -0.5677421 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X226 -0.5385731 -0.5677421 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X227 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X228 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X229 -0.5385731 -0.5677421 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X230 -0.5385731 -0.5677421 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X231 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X232 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X233 1.8548056 -0.5677421 -0.5677421 -0.5483075 1.8832169 -0.5271937
## X234 -0.5385731 -0.5677421 1.7595110 -0.5483075 -0.5304479 -0.5271937
## X235 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X236 -0.5385731 1.7595110 1.7595110 1.8218763 -0.5304479 1.8948413
## X237 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X238 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X239 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 1.8948413
## X240 1.8548056 1.7595110 -0.5677421 -0.5483075 1.8832169 1.8948413
## X241 -0.5385731 -0.5677421 -0.5677421 1.8218763 -0.5304479 -0.5271937
## X242 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X243 -0.5385731 -0.5677421 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X244 1.8548056 -0.5677421 -0.5677421 -0.5483075 1.8832169 1.8948413
## X245 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 1.8948413
## X246 -0.5385731 -0.5677421 1.7595110 -0.5483075 -0.5304479 -0.5271937
## X247 1.8548056 -0.5677421 -0.5677421 -0.5483075 1.8832169 1.8948413
## X248 -0.5385731 -0.5677421 1.7595110 1.8218763 -0.5304479 -0.5271937
## X249 -0.5385731 -0.5677421 1.7595110 -0.5483075 -0.5304479 -0.5271937
## X250 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X251 -0.5385731 -0.5677421 -0.5677421 1.8218763 -0.5304479 -0.5271937
## X252 1.8548056 -0.5677421 1.7595110 -0.5483075 -0.5304479 -0.5271937
## X253 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X254 1.8548056 -0.5677421 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X255 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 1.8948413
## X256 -0.5385731 -0.5677421 1.7595110 1.8218763 -0.5304479 -0.5271937
## X257 -0.5385731 -0.5677421 -0.5677421 1.8218763 -0.5304479 -0.5271937
## X258 -0.5385731 1.7595110 -0.5677421 1.8218763 -0.5304479 -0.5271937
## X259 -0.5385731 -0.5677421 1.7595110 -0.5483075 -0.5304479 -0.5271937
## X260 -0.5385731 -0.5677421 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X261 1.8548056 -0.5677421 -0.5677421 -0.5483075 -0.5304479 1.8948413
## X262 -0.5385731 -0.5677421 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X263 -0.5385731 -0.5677421 -0.5677421 1.8218763 -0.5304479 -0.5271937
## X264 1.8548056 -0.5677421 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X265 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X266 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X267 1.8548056 -0.5677421 -0.5677421 -0.5483075 1.8832169 -0.5271937
## X268 -0.5385731 -0.5677421 1.7595110 1.8218763 -0.5304479 -0.5271937
## X269 -0.5385731 -0.5677421 -0.5677421 1.8218763 -0.5304479 1.8948413
## X270 -0.5385731 -0.5677421 -0.5677421 1.8218763 -0.5304479 1.8948413
## X271 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X272 -0.5385731 -0.5677421 1.7595110 1.8218763 -0.5304479 -0.5271937
## X273 -0.5385731 -0.5677421 -0.5677421 1.8218763 -0.5304479 -0.5271937
## X274 1.8548056 -0.5677421 1.7595110 -0.5483075 -0.5304479 1.8948413
## X275 -0.5385731 -0.5677421 1.7595110 1.8218763 -0.5304479 -0.5271937
## X276 1.8548056 1.7595110 -0.5677421 -0.5483075 1.8832169 -0.5271937
## X277 1.8548056 -0.5677421 1.7595110 -0.5483075 -0.5304479 -0.5271937
## X278 1.8548056 -0.5677421 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X279 -0.5385731 -0.5677421 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X280 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X281 -0.5385731 -0.5677421 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X282 1.8548056 1.7595110 -0.5677421 -0.5483075 -0.5304479 1.8948413
## X283 -0.5385731 -0.5677421 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X284 1.8548056 -0.5677421 1.7595110 1.8218763 1.8832169 -0.5271937
## X285 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X286 1.8548056 -0.5677421 -0.5677421 -0.5483075 1.8832169 -0.5271937
## X287 1.8548056 -0.5677421 -0.5677421 -0.5483075 1.8832169 1.8948413
## X288 -0.5385731 1.7595110 -0.5677421 -0.5483075 1.8832169 1.8948413
## X289 1.8548056 -0.5677421 -0.5677421 -0.5483075 1.8832169 1.8948413
## X290 1.8548056 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X291 -0.5385731 -0.5677421 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X292 1.8548056 -0.5677421 -0.5677421 -0.5483075 1.8832169 1.8948413
## X293 -0.5385731 -0.5677421 -0.5677421 -0.5483075 1.8832169 -0.5271937
## X294 -0.5385731 -0.5677421 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X295 1.8548056 -0.5677421 -0.5677421 -0.5483075 1.8832169 1.8948413
## X296 1.8548056 -0.5677421 -0.5677421 -0.5483075 1.8832169 1.8948413
## X297 -0.5385731 -0.5677421 -0.5677421 1.8218763 -0.5304479 -0.5271937
## X298 -0.5385731 1.7595110 -0.5677421 1.8218763 -0.5304479 -0.5271937
## X299 1.8548056 -0.5677421 1.7595110 1.8218763 1.8832169 1.8948413
## X300 -0.5385731 -0.5677421 1.7595110 1.8218763 -0.5304479 -0.5271937
## X301 -0.5385731 -0.5677421 -0.5677421 1.8218763 -0.5304479 -0.5271937
## X302 -0.5385731 -0.5677421 -0.5677421 -0.5483075 1.8832169 -0.5271937
## X303 1.8548056 -0.5677421 -0.5677421 1.8218763 1.8832169 -0.5271937
## X304 1.8548056 1.7595110 -0.5677421 -0.5483075 1.8832169 1.8948413
## X305 1.8548056 -0.5677421 -0.5677421 1.8218763 1.8832169 1.8948413
## X306 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X307 1.8548056 -0.5677421 1.7595110 -0.5483075 -0.5304479 -0.5271937
## X308 -0.5385731 -0.5677421 -0.5677421 -0.5483075 1.8832169 1.8948413
## X309 1.8548056 -0.5677421 1.7595110 -0.5483075 -0.5304479 -0.5271937
## X310 -0.5385731 -0.5677421 1.7595110 -0.5483075 1.8832169 1.8948413
## X311 -0.5385731 -0.5677421 1.7595110 1.8218763 -0.5304479 -0.5271937
## X312 1.8548056 -0.5677421 -0.5677421 -0.5483075 1.8832169 1.8948413
## X313 -0.5385731 -0.5677421 1.7595110 1.8218763 -0.5304479 -0.5271937
## X314 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X315 -0.5385731 -0.5677421 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X316 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X317 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X318 -0.5385731 -0.5677421 -0.5677421 -0.5483075 -0.5304479 1.8948413
## X319 -0.5385731 -0.5677421 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X320 1.8548056 1.7595110 -0.5677421 1.8218763 1.8832169 -0.5271937
## X321 -0.5385731 -0.5677421 -0.5677421 -0.5483075 -0.5304479 1.8948413
## X322 1.8548056 1.7595110 -0.5677421 1.8218763 1.8832169 -0.5271937
## X323 -0.5385731 -0.5677421 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X324 -0.5385731 -0.5677421 -0.5677421 1.8218763 -0.5304479 -0.5271937
## X325 -0.5385731 -0.5677421 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X326 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X327 -0.5385731 -0.5677421 -0.5677421 1.8218763 -0.5304479 -0.5271937
## X328 -0.5385731 -0.5677421 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X329 -0.5385731 -0.5677421 1.7595110 1.8218763 -0.5304479 -0.5271937
## X330 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X331 1.8548056 1.7595110 -0.5677421 -0.5483075 1.8832169 1.8948413
## X332 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X333 -0.5385731 -0.5677421 1.7595110 1.8218763 -0.5304479 -0.5271937
## X334 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X335 1.8548056 -0.5677421 1.7595110 1.8218763 1.8832169 -0.5271937
## X336 -0.5385731 -0.5677421 1.7595110 -0.5483075 -0.5304479 -0.5271937
## X337 1.8548056 -0.5677421 -0.5677421 -0.5483075 1.8832169 1.8948413
## X338 -0.5385731 -0.5677421 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X339 -0.5385731 -0.5677421 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X340 -0.5385731 1.7595110 -0.5677421 -0.5483075 1.8832169 1.8948413
## X341 -0.5385731 -0.5677421 1.7595110 1.8218763 -0.5304479 -0.5271937
## X342 -0.5385731 -0.5677421 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X343 1.8548056 -0.5677421 1.7595110 -0.5483075 -0.5304479 -0.5271937
## X344 -0.5385731 -0.5677421 1.7595110 1.8218763 -0.5304479 1.8948413
## X345 -0.5385731 -0.5677421 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X346 1.8548056 -0.5677421 1.7595110 1.8218763 1.8832169 -0.5271937
## X347 -0.5385731 -0.5677421 1.7595110 -0.5483075 1.8832169 1.8948413
## X348 1.8548056 -0.5677421 1.7595110 -0.5483075 -0.5304479 -0.5271937
## X349 -0.5385731 -0.5677421 -0.5677421 1.8218763 -0.5304479 -0.5271937
## X350 1.8548056 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X351 -0.5385731 -0.5677421 1.7595110 1.8218763 -0.5304479 -0.5271937
## X352 -0.5385731 1.7595110 1.7595110 1.8218763 -0.5304479 -0.5271937
## X353 1.8548056 -0.5677421 -0.5677421 1.8218763 1.8832169 1.8948413
## X354 -0.5385731 -0.5677421 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X355 -0.5385731 -0.5677421 1.7595110 -0.5483075 -0.5304479 -0.5271937
## X356 -0.5385731 -0.5677421 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X357 -0.5385731 -0.5677421 -0.5677421 1.8218763 -0.5304479 1.8948413
## X358 -0.5385731 -0.5677421 1.7595110 1.8218763 -0.5304479 -0.5271937
## X359 1.8548056 -0.5677421 1.7595110 1.8218763 1.8832169 -0.5271937
## X360 -0.5385731 -0.5677421 1.7595110 -0.5483075 -0.5304479 1.8948413
## X361 -0.5385731 -0.5677421 -0.5677421 1.8218763 -0.5304479 -0.5271937
## X362 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X363 1.8548056 -0.5677421 -0.5677421 -0.5483075 1.8832169 -0.5271937
## X364 -0.5385731 -0.5677421 1.7595110 -0.5483075 -0.5304479 -0.5271937
## X365 1.8548056 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X366 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X367 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X368 -0.5385731 -0.5677421 -0.5677421 1.8218763 -0.5304479 -0.5271937
## X369 -0.5385731 -0.5677421 -0.5677421 1.8218763 -0.5304479 -0.5271937
## X370 1.8548056 1.7595110 -0.5677421 -0.5483075 1.8832169 1.8948413
## X371 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X372 -0.5385731 -0.5677421 -0.5677421 -0.5483075 1.8832169 -0.5271937
## X373 -0.5385731 -0.5677421 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X374 1.8548056 1.7595110 -0.5677421 -0.5483075 1.8832169 -0.5271937
## X375 1.8548056 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X376 -0.5385731 1.7595110 1.7595110 -0.5483075 1.8832169 1.8948413
## X377 -0.5385731 -0.5677421 1.7595110 -0.5483075 1.8832169 1.8948413
## X378 1.8548056 -0.5677421 1.7595110 -0.5483075 -0.5304479 -0.5271937
## X379 -0.5385731 -0.5677421 1.7595110 1.8218763 -0.5304479 -0.5271937
## X380 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X381 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 1.8948413
## X382 1.8548056 -0.5677421 1.7595110 -0.5483075 1.8832169 1.8948413
## X383 -0.5385731 1.7595110 1.7595110 -0.5483075 1.8832169 1.8948413
## X384 -0.5385731 -0.5677421 1.7595110 -0.5483075 -0.5304479 -0.5271937
## X385 -0.5385731 -0.5677421 -0.5677421 -0.5483075 -0.5304479 1.8948413
## X386 1.8548056 -0.5677421 -0.5677421 -0.5483075 1.8832169 -0.5271937
## X387 1.8548056 -0.5677421 -0.5677421 1.8218763 -0.5304479 1.8948413
## X388 1.8548056 1.7595110 -0.5677421 -0.5483075 1.8832169 1.8948413
## X389 1.8548056 -0.5677421 -0.5677421 1.8218763 -0.5304479 1.8948413
## X390 1.8548056 -0.5677421 -0.5677421 1.8218763 -0.5304479 -0.5271937
## X391 -0.5385731 -0.5677421 1.7595110 -0.5483075 1.8832169 1.8948413
## X392 -0.5385731 -0.5677421 -0.5677421 1.8218763 -0.5304479 1.8948413
## X393 -0.5385731 -0.5677421 -0.5677421 1.8218763 -0.5304479 -0.5271937
## X394 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X395 -0.5385731 -0.5677421 1.7595110 1.8218763 -0.5304479 -0.5271937
## X396 -0.5385731 1.7595110 -0.5677421 1.8218763 -0.5304479 -0.5271937
## X397 -0.5385731 -0.5677421 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X398 -0.5385731 -0.5677421 1.7595110 -0.5483075 -0.5304479 -0.5271937
## X399 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X400 1.8548056 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X401 1.8548056 -0.5677421 -0.5677421 1.8218763 1.8832169 -0.5271937
## X402 -0.5385731 -0.5677421 -0.5677421 -0.5483075 1.8832169 1.8948413
## X403 -0.5385731 -0.5677421 1.7595110 1.8218763 1.8832169 -0.5271937
## X404 -0.5385731 -0.5677421 1.7595110 1.8218763 -0.5304479 -0.5271937
## X405 1.8548056 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X406 -0.5385731 -0.5677421 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X407 -0.5385731 -0.5677421 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X408 -0.5385731 1.7595110 -0.5677421 1.8218763 -0.5304479 -0.5271937
## X409 1.8548056 -0.5677421 1.7595110 1.8218763 1.8832169 1.8948413
## X410 1.8548056 1.7595110 -0.5677421 -0.5483075 1.8832169 1.8948413
## X411 -0.5385731 -0.5677421 -0.5677421 -0.5483075 1.8832169 1.8948413
## X412 1.8548056 -0.5677421 -0.5677421 -0.5483075 1.8832169 -0.5271937
## X413 1.8548056 -0.5677421 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X414 -0.5385731 -0.5677421 1.7595110 1.8218763 -0.5304479 -0.5271937
## X415 -0.5385731 -0.5677421 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X416 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X417 1.8548056 -0.5677421 -0.5677421 -0.5483075 1.8832169 -0.5271937
## X418 -0.5385731 -0.5677421 -0.5677421 -0.5483075 1.8832169 -0.5271937
## X419 -0.5385731 -0.5677421 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X420 1.8548056 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X421 -0.5385731 -0.5677421 -0.5677421 -0.5483075 1.8832169 -0.5271937
## X422 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 1.8948413
## X423 -0.5385731 -0.5677421 1.7595110 -0.5483075 1.8832169 1.8948413
## X424 1.8548056 -0.5677421 1.7595110 1.8218763 1.8832169 1.8948413
## X425 -0.5385731 -0.5677421 1.7595110 -0.5483075 1.8832169 1.8948413
## X426 -0.5385731 -0.5677421 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X427 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X428 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X429 -0.5385731 -0.5677421 1.7595110 -0.5483075 -0.5304479 -0.5271937
## X430 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X431 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X432 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X433 -0.5385731 -0.5677421 1.7595110 -0.5483075 -0.5304479 -0.5271937
## X434 1.8548056 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X435 -0.5385731 -0.5677421 1.7595110 1.8218763 -0.5304479 -0.5271937
## X436 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X437 -0.5385731 -0.5677421 1.7595110 -0.5483075 1.8832169 1.8948413
## X438 -0.5385731 -0.5677421 1.7595110 -0.5483075 1.8832169 1.8948413
## X439 -0.5385731 -0.5677421 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X440 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X441 1.8548056 -0.5677421 -0.5677421 -0.5483075 -0.5304479 1.8948413
## X442 -0.5385731 -0.5677421 1.7595110 -0.5483075 1.8832169 1.8948413
## X443 1.8548056 1.7595110 -0.5677421 1.8218763 1.8832169 1.8948413
## X444 -0.5385731 -0.5677421 1.7595110 1.8218763 -0.5304479 -0.5271937
## X445 -0.5385731 -0.5677421 1.7595110 1.8218763 -0.5304479 -0.5271937
## X446 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X447 -0.5385731 -0.5677421 1.7595110 1.8218763 -0.5304479 -0.5271937
## X448 -0.5385731 -0.5677421 1.7595110 1.8218763 -0.5304479 -0.5271937
## X449 -0.5385731 -0.5677421 1.7595110 -0.5483075 -0.5304479 1.8948413
## X450 -0.5385731 1.7595110 -0.5677421 -0.5483075 -0.5304479 -0.5271937
## X451 -0.5385731 -0.5677421 1.7595110 1.8218763 -0.5304479 -0.5271937
## X452 -0.5385731 -0.5677421 -0.5677421 -0.5483075 1.8832169 1.8948413
## X453 -0.5385731 -0.5677421 -0.5677421 -0.5483075 -0.5304479 1.8948413
## X454 -0.5385731 -0.5677421 -0.5677421 1.8218763 1.8832169 1.8948413
## FP097 FP098 FP099 FP100 FP101 FP102
## X1 1.8005896 -0.558029 -0.5418196 -0.5483075 1.7953478 -0.5026912
## X2 1.8005896 -0.558029 -0.5418196 -0.5483075 1.7953478 1.9872011
## X3 -0.5547896 1.790137 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X4 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X5 -0.5547896 -0.558029 -0.5418196 -0.5483075 1.7953478 1.9872011
## X6 -0.5547896 -0.558029 -0.5418196 1.8218763 -0.5564094 1.9872011
## X7 1.8005896 -0.558029 -0.5418196 -0.5483075 1.7953478 1.9872011
## X8 -0.5547896 1.790137 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X9 1.8005896 -0.558029 1.8436919 -0.5483075 -0.5564094 -0.5026912
## X10 -0.5547896 -0.558029 -0.5418196 1.8218763 -0.5564094 -0.5026912
## X11 1.8005896 -0.558029 1.8436919 -0.5483075 -0.5564094 -0.5026912
## X12 1.8005896 -0.558029 1.8436919 -0.5483075 -0.5564094 -0.5026912
## X13 1.8005896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X14 1.8005896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X15 -0.5547896 -0.558029 1.8436919 -0.5483075 -0.5564094 -0.5026912
## X16 1.8005896 1.790137 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X17 -0.5547896 -0.558029 1.8436919 1.8218763 1.7953478 1.9872011
## X18 1.8005896 -0.558029 -0.5418196 -0.5483075 1.7953478 1.9872011
## X19 1.8005896 -0.558029 1.8436919 -0.5483075 -0.5564094 -0.5026912
## X20 1.8005896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X21 1.8005896 1.790137 1.8436919 -0.5483075 -0.5564094 -0.5026912
## X22 1.8005896 -0.558029 -0.5418196 -0.5483075 1.7953478 1.9872011
## X23 -0.5547896 -0.558029 -0.5418196 1.8218763 -0.5564094 1.9872011
## X24 -0.5547896 -0.558029 1.8436919 1.8218763 1.7953478 1.9872011
## X25 -0.5547896 -0.558029 1.8436919 1.8218763 -0.5564094 1.9872011
## X26 -0.5547896 -0.558029 1.8436919 1.8218763 -0.5564094 1.9872011
## X27 1.8005896 -0.558029 -0.5418196 -0.5483075 1.7953478 1.9872011
## X28 1.8005896 -0.558029 -0.5418196 -0.5483075 1.7953478 -0.5026912
## X29 -0.5547896 1.790137 1.8436919 1.8218763 -0.5564094 -0.5026912
## X30 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X31 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X32 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X33 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X34 1.8005896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X35 1.8005896 1.790137 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X36 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X37 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X38 1.8005896 1.790137 1.8436919 -0.5483075 -0.5564094 -0.5026912
## X39 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X40 -0.5547896 1.790137 1.8436919 -0.5483075 -0.5564094 -0.5026912
## X41 1.8005896 1.790137 1.8436919 -0.5483075 -0.5564094 -0.5026912
## X42 -0.5547896 1.790137 -0.5418196 1.8218763 -0.5564094 -0.5026912
## X43 1.8005896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X44 1.8005896 -0.558029 -0.5418196 -0.5483075 1.7953478 1.9872011
## X45 -0.5547896 -0.558029 -0.5418196 -0.5483075 1.7953478 -0.5026912
## X46 -0.5547896 -0.558029 1.8436919 -0.5483075 1.7953478 1.9872011
## X47 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X48 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X49 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X50 -0.5547896 1.790137 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X51 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X52 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X53 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X54 -0.5547896 -0.558029 -0.5418196 -0.5483075 1.7953478 -0.5026912
## X55 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X56 1.8005896 -0.558029 1.8436919 -0.5483075 -0.5564094 -0.5026912
## X57 -0.5547896 1.790137 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X58 1.8005896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X59 1.8005896 -0.558029 1.8436919 -0.5483075 -0.5564094 -0.5026912
## X60 1.8005896 1.790137 -0.5418196 1.8218763 1.7953478 1.9872011
## X61 -0.5547896 1.790137 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X62 -0.5547896 1.790137 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X63 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X64 1.8005896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X65 -0.5547896 1.790137 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X66 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X67 1.8005896 1.790137 -0.5418196 -0.5483075 1.7953478 1.9872011
## X68 1.8005896 1.790137 1.8436919 -0.5483075 -0.5564094 -0.5026912
## X69 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X70 1.8005896 -0.558029 -0.5418196 -0.5483075 1.7953478 1.9872011
## X71 1.8005896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X72 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X73 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X74 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 1.9872011
## X75 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X76 1.8005896 1.790137 1.8436919 -0.5483075 -0.5564094 -0.5026912
## X77 1.8005896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X78 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X79 1.8005896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X80 -0.5547896 1.790137 1.8436919 -0.5483075 -0.5564094 -0.5026912
## X81 1.8005896 1.790137 1.8436919 -0.5483075 -0.5564094 -0.5026912
## X82 1.8005896 -0.558029 -0.5418196 -0.5483075 1.7953478 -0.5026912
## X83 1.8005896 -0.558029 -0.5418196 -0.5483075 1.7953478 1.9872011
## X84 1.8005896 -0.558029 -0.5418196 1.8218763 -0.5564094 -0.5026912
## X85 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X86 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X87 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X88 -0.5547896 1.790137 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X89 -0.5547896 -0.558029 1.8436919 1.8218763 -0.5564094 1.9872011
## X90 -0.5547896 -0.558029 1.8436919 -0.5483075 -0.5564094 1.9872011
## X91 1.8005896 1.790137 1.8436919 1.8218763 -0.5564094 -0.5026912
## X92 1.8005896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X93 -0.5547896 -0.558029 1.8436919 -0.5483075 -0.5564094 -0.5026912
## X94 -0.5547896 1.790137 1.8436919 -0.5483075 -0.5564094 -0.5026912
## X95 1.8005896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X96 -0.5547896 1.790137 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X97 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X98 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X99 1.8005896 -0.558029 1.8436919 -0.5483075 -0.5564094 -0.5026912
## X100 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X101 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X102 1.8005896 -0.558029 1.8436919 -0.5483075 1.7953478 1.9872011
## X103 -0.5547896 1.790137 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X104 1.8005896 -0.558029 -0.5418196 -0.5483075 1.7953478 -0.5026912
## X105 1.8005896 -0.558029 1.8436919 1.8218763 1.7953478 1.9872011
## X106 1.8005896 -0.558029 1.8436919 -0.5483075 -0.5564094 -0.5026912
## X107 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 1.9872011
## X108 1.8005896 1.790137 1.8436919 -0.5483075 -0.5564094 -0.5026912
## X109 -0.5547896 -0.558029 1.8436919 -0.5483075 -0.5564094 1.9872011
## X110 1.8005896 1.790137 -0.5418196 1.8218763 1.7953478 1.9872011
## X111 -0.5547896 1.790137 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X112 1.8005896 -0.558029 1.8436919 -0.5483075 -0.5564094 -0.5026912
## X113 -0.5547896 1.790137 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X114 -0.5547896 1.790137 1.8436919 1.8218763 1.7953478 1.9872011
## X115 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X116 -0.5547896 -0.558029 -0.5418196 1.8218763 -0.5564094 -0.5026912
## X117 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X118 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X119 1.8005896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X120 1.8005896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X121 1.8005896 -0.558029 1.8436919 -0.5483075 -0.5564094 -0.5026912
## X122 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X123 1.8005896 -0.558029 1.8436919 1.8218763 1.7953478 1.9872011
## X124 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X125 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X126 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X127 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X128 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X129 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X130 1.8005896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X131 1.8005896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X132 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X133 1.8005896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X134 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X135 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X136 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X137 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X138 1.8005896 1.790137 1.8436919 -0.5483075 -0.5564094 -0.5026912
## X139 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X140 1.8005896 -0.558029 -0.5418196 -0.5483075 1.7953478 -0.5026912
## X141 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X142 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X143 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X144 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X145 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X146 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X147 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X148 1.8005896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X149 1.8005896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X150 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X151 1.8005896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X152 -0.5547896 -0.558029 1.8436919 -0.5483075 1.7953478 1.9872011
## X153 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X154 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X155 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X156 1.8005896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X157 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X158 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X159 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X160 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X161 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X162 1.8005896 -0.558029 1.8436919 -0.5483075 -0.5564094 -0.5026912
## X163 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X164 1.8005896 1.790137 1.8436919 -0.5483075 -0.5564094 -0.5026912
## X165 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X166 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X167 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X168 -0.5547896 -0.558029 -0.5418196 -0.5483075 1.7953478 -0.5026912
## X169 -0.5547896 -0.558029 1.8436919 -0.5483075 -0.5564094 1.9872011
## X170 1.8005896 1.790137 -0.5418196 -0.5483075 1.7953478 1.9872011
## X171 1.8005896 1.790137 1.8436919 -0.5483075 -0.5564094 -0.5026912
## X172 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X173 1.8005896 -0.558029 1.8436919 1.8218763 1.7953478 1.9872011
## X174 -0.5547896 1.790137 1.8436919 -0.5483075 1.7953478 -0.5026912
## X175 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X176 1.8005896 -0.558029 -0.5418196 -0.5483075 1.7953478 1.9872011
## X177 1.8005896 1.790137 1.8436919 -0.5483075 -0.5564094 -0.5026912
## X178 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X179 1.8005896 1.790137 1.8436919 -0.5483075 -0.5564094 -0.5026912
## X180 1.8005896 -0.558029 1.8436919 -0.5483075 -0.5564094 -0.5026912
## X181 1.8005896 -0.558029 -0.5418196 -0.5483075 1.7953478 1.9872011
## X182 1.8005896 1.790137 1.8436919 -0.5483075 -0.5564094 -0.5026912
## X183 1.8005896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X184 -0.5547896 -0.558029 1.8436919 -0.5483075 1.7953478 -0.5026912
## X185 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X186 -0.5547896 -0.558029 1.8436919 -0.5483075 1.7953478 1.9872011
## X187 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X188 1.8005896 -0.558029 -0.5418196 -0.5483075 -0.5564094 1.9872011
## X189 1.8005896 -0.558029 1.8436919 -0.5483075 1.7953478 1.9872011
## X190 -0.5547896 -0.558029 1.8436919 -0.5483075 -0.5564094 1.9872011
## X191 1.8005896 1.790137 1.8436919 -0.5483075 -0.5564094 -0.5026912
## X192 1.8005896 1.790137 -0.5418196 1.8218763 1.7953478 -0.5026912
## X193 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X194 1.8005896 -0.558029 1.8436919 -0.5483075 -0.5564094 -0.5026912
## X195 1.8005896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X196 1.8005896 1.790137 1.8436919 -0.5483075 -0.5564094 -0.5026912
## X197 -0.5547896 -0.558029 1.8436919 1.8218763 1.7953478 1.9872011
## X198 -0.5547896 -0.558029 -0.5418196 1.8218763 -0.5564094 1.9872011
## X199 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X200 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X201 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X202 1.8005896 -0.558029 1.8436919 -0.5483075 -0.5564094 -0.5026912
## X203 -0.5547896 1.790137 1.8436919 -0.5483075 -0.5564094 -0.5026912
## X204 1.8005896 1.790137 1.8436919 -0.5483075 -0.5564094 1.9872011
## X205 1.8005896 -0.558029 1.8436919 -0.5483075 -0.5564094 -0.5026912
## X206 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X207 -0.5547896 -0.558029 1.8436919 -0.5483075 -0.5564094 1.9872011
## X208 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X209 1.8005896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X210 1.8005896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X211 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X212 1.8005896 -0.558029 1.8436919 -0.5483075 -0.5564094 -0.5026912
## X213 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X214 -0.5547896 1.790137 1.8436919 -0.5483075 -0.5564094 -0.5026912
## X215 1.8005896 -0.558029 1.8436919 -0.5483075 -0.5564094 -0.5026912
## X216 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X217 -0.5547896 -0.558029 1.8436919 -0.5483075 -0.5564094 -0.5026912
## X218 -0.5547896 -0.558029 1.8436919 -0.5483075 -0.5564094 1.9872011
## X219 -0.5547896 1.790137 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X220 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X221 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X222 1.8005896 -0.558029 1.8436919 -0.5483075 -0.5564094 -0.5026912
## X223 1.8005896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X224 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X225 1.8005896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X226 1.8005896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X227 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X228 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X229 1.8005896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X230 1.8005896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X231 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X232 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X233 -0.5547896 -0.558029 1.8436919 1.8218763 1.7953478 -0.5026912
## X234 1.8005896 -0.558029 1.8436919 -0.5483075 -0.5564094 -0.5026912
## X235 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X236 -0.5547896 -0.558029 1.8436919 1.8218763 1.7953478 1.9872011
## X237 -0.5547896 -0.558029 1.8436919 -0.5483075 -0.5564094 -0.5026912
## X238 1.8005896 -0.558029 1.8436919 -0.5483075 -0.5564094 -0.5026912
## X239 -0.5547896 1.790137 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X240 1.8005896 -0.558029 1.8436919 1.8218763 -0.5564094 1.9872011
## X241 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X242 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X243 1.8005896 -0.558029 -0.5418196 -0.5483075 1.7953478 -0.5026912
## X244 -0.5547896 -0.558029 1.8436919 1.8218763 1.7953478 1.9872011
## X245 -0.5547896 1.790137 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X246 -0.5547896 -0.558029 -0.5418196 1.8218763 -0.5564094 -0.5026912
## X247 -0.5547896 -0.558029 1.8436919 1.8218763 1.7953478 1.9872011
## X248 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X249 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X250 -0.5547896 1.790137 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X251 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X252 -0.5547896 -0.558029 -0.5418196 -0.5483075 1.7953478 1.9872011
## X253 -0.5547896 -0.558029 1.8436919 -0.5483075 -0.5564094 -0.5026912
## X254 -0.5547896 -0.558029 1.8436919 -0.5483075 1.7953478 -0.5026912
## X255 1.8005896 1.790137 -0.5418196 1.8218763 1.7953478 1.9872011
## X256 -0.5547896 1.790137 -0.5418196 1.8218763 -0.5564094 -0.5026912
## X257 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X258 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X259 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X260 1.8005896 1.790137 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X261 1.8005896 -0.558029 1.8436919 1.8218763 1.7953478 1.9872011
## X262 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X263 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X264 1.8005896 -0.558029 -0.5418196 -0.5483075 1.7953478 -0.5026912
## X265 -0.5547896 -0.558029 1.8436919 -0.5483075 -0.5564094 -0.5026912
## X266 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X267 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X268 -0.5547896 1.790137 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X269 -0.5547896 1.790137 -0.5418196 -0.5483075 -0.5564094 1.9872011
## X270 -0.5547896 1.790137 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X271 -0.5547896 1.790137 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X272 -0.5547896 -0.558029 -0.5418196 1.8218763 -0.5564094 1.9872011
## X273 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X274 -0.5547896 -0.558029 1.8436919 1.8218763 1.7953478 1.9872011
## X275 -0.5547896 1.790137 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X276 -0.5547896 1.790137 -0.5418196 -0.5483075 1.7953478 -0.5026912
## X277 1.8005896 -0.558029 -0.5418196 -0.5483075 1.7953478 1.9872011
## X278 1.8005896 -0.558029 -0.5418196 -0.5483075 1.7953478 -0.5026912
## X279 1.8005896 -0.558029 -0.5418196 -0.5483075 1.7953478 -0.5026912
## X280 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X281 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X282 -0.5547896 1.790137 -0.5418196 1.8218763 1.7953478 1.9872011
## X283 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X284 1.8005896 -0.558029 1.8436919 1.8218763 1.7953478 1.9872011
## X285 -0.5547896 -0.558029 -0.5418196 1.8218763 -0.5564094 -0.5026912
## X286 -0.5547896 -0.558029 1.8436919 1.8218763 1.7953478 1.9872011
## X287 -0.5547896 -0.558029 -0.5418196 -0.5483075 1.7953478 -0.5026912
## X288 -0.5547896 1.790137 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X289 1.8005896 -0.558029 1.8436919 1.8218763 -0.5564094 1.9872011
## X290 -0.5547896 -0.558029 -0.5418196 1.8218763 1.7953478 1.9872011
## X291 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X292 -0.5547896 -0.558029 1.8436919 1.8218763 1.7953478 1.9872011
## X293 1.8005896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X294 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X295 -0.5547896 1.790137 1.8436919 1.8218763 -0.5564094 1.9872011
## X296 -0.5547896 -0.558029 1.8436919 1.8218763 1.7953478 1.9872011
## X297 -0.5547896 1.790137 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X298 -0.5547896 -0.558029 -0.5418196 1.8218763 -0.5564094 -0.5026912
## X299 -0.5547896 -0.558029 1.8436919 1.8218763 1.7953478 -0.5026912
## X300 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X301 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 1.9872011
## X302 -0.5547896 -0.558029 -0.5418196 1.8218763 -0.5564094 -0.5026912
## X303 -0.5547896 -0.558029 -0.5418196 -0.5483075 1.7953478 -0.5026912
## X304 1.8005896 -0.558029 1.8436919 1.8218763 1.7953478 1.9872011
## X305 -0.5547896 -0.558029 1.8436919 1.8218763 -0.5564094 1.9872011
## X306 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X307 1.8005896 -0.558029 -0.5418196 -0.5483075 1.7953478 1.9872011
## X308 1.8005896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X309 1.8005896 -0.558029 -0.5418196 -0.5483075 1.7953478 1.9872011
## X310 1.8005896 -0.558029 1.8436919 -0.5483075 -0.5564094 -0.5026912
## X311 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X312 1.8005896 -0.558029 1.8436919 1.8218763 -0.5564094 1.9872011
## X313 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 1.9872011
## X314 -0.5547896 -0.558029 1.8436919 -0.5483075 -0.5564094 -0.5026912
## X315 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X316 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X317 -0.5547896 -0.558029 1.8436919 -0.5483075 -0.5564094 -0.5026912
## X318 1.8005896 1.790137 -0.5418196 -0.5483075 1.7953478 1.9872011
## X319 -0.5547896 -0.558029 -0.5418196 1.8218763 -0.5564094 -0.5026912
## X320 -0.5547896 -0.558029 1.8436919 -0.5483075 1.7953478 -0.5026912
## X321 -0.5547896 1.790137 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X322 -0.5547896 -0.558029 -0.5418196 1.8218763 -0.5564094 1.9872011
## X323 1.8005896 -0.558029 -0.5418196 -0.5483075 1.7953478 -0.5026912
## X324 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X325 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X326 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X327 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X328 -0.5547896 1.790137 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X329 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X330 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X331 -0.5547896 -0.558029 1.8436919 1.8218763 -0.5564094 1.9872011
## X332 -0.5547896 -0.558029 -0.5418196 1.8218763 -0.5564094 -0.5026912
## X333 -0.5547896 -0.558029 -0.5418196 1.8218763 -0.5564094 1.9872011
## X334 -0.5547896 1.790137 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X335 -0.5547896 1.790137 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X336 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X337 -0.5547896 -0.558029 1.8436919 1.8218763 1.7953478 1.9872011
## X338 1.8005896 1.790137 -0.5418196 1.8218763 -0.5564094 -0.5026912
## X339 -0.5547896 -0.558029 -0.5418196 1.8218763 -0.5564094 -0.5026912
## X340 -0.5547896 1.790137 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X341 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X342 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X343 1.8005896 -0.558029 1.8436919 1.8218763 1.7953478 1.9872011
## X344 1.8005896 -0.558029 1.8436919 1.8218763 1.7953478 1.9872011
## X345 1.8005896 -0.558029 -0.5418196 -0.5483075 1.7953478 -0.5026912
## X346 -0.5547896 -0.558029 1.8436919 1.8218763 1.7953478 -0.5026912
## X347 1.8005896 1.790137 1.8436919 -0.5483075 -0.5564094 -0.5026912
## X348 1.8005896 -0.558029 -0.5418196 -0.5483075 1.7953478 1.9872011
## X349 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X350 -0.5547896 -0.558029 1.8436919 -0.5483075 1.7953478 1.9872011
## X351 -0.5547896 1.790137 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X352 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 1.9872011
## X353 -0.5547896 -0.558029 1.8436919 1.8218763 -0.5564094 1.9872011
## X354 1.8005896 -0.558029 -0.5418196 -0.5483075 -0.5564094 1.9872011
## X355 -0.5547896 1.790137 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X356 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X357 1.8005896 1.790137 1.8436919 -0.5483075 -0.5564094 1.9872011
## X358 -0.5547896 1.790137 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X359 -0.5547896 -0.558029 1.8436919 1.8218763 1.7953478 -0.5026912
## X360 1.8005896 -0.558029 1.8436919 -0.5483075 -0.5564094 -0.5026912
## X361 -0.5547896 1.790137 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X362 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X363 -0.5547896 -0.558029 1.8436919 1.8218763 1.7953478 1.9872011
## X364 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X365 -0.5547896 -0.558029 -0.5418196 1.8218763 -0.5564094 1.9872011
## X366 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X367 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X368 -0.5547896 -0.558029 1.8436919 -0.5483075 -0.5564094 -0.5026912
## X369 1.8005896 -0.558029 -0.5418196 1.8218763 -0.5564094 1.9872011
## X370 1.8005896 -0.558029 1.8436919 1.8218763 1.7953478 1.9872011
## X371 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X372 -0.5547896 -0.558029 -0.5418196 1.8218763 -0.5564094 -0.5026912
## X373 1.8005896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X374 1.8005896 -0.558029 -0.5418196 1.8218763 1.7953478 -0.5026912
## X375 -0.5547896 -0.558029 1.8436919 1.8218763 1.7953478 1.9872011
## X376 1.8005896 -0.558029 1.8436919 -0.5483075 -0.5564094 -0.5026912
## X377 1.8005896 1.790137 1.8436919 -0.5483075 -0.5564094 -0.5026912
## X378 1.8005896 -0.558029 -0.5418196 -0.5483075 1.7953478 1.9872011
## X379 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X380 -0.5547896 -0.558029 1.8436919 -0.5483075 -0.5564094 -0.5026912
## X381 -0.5547896 1.790137 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X382 -0.5547896 -0.558029 1.8436919 1.8218763 1.7953478 1.9872011
## X383 1.8005896 -0.558029 1.8436919 -0.5483075 -0.5564094 -0.5026912
## X384 1.8005896 -0.558029 1.8436919 -0.5483075 -0.5564094 -0.5026912
## X385 -0.5547896 1.790137 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X386 -0.5547896 -0.558029 1.8436919 1.8218763 1.7953478 1.9872011
## X387 -0.5547896 -0.558029 -0.5418196 1.8218763 1.7953478 1.9872011
## X388 -0.5547896 -0.558029 1.8436919 1.8218763 -0.5564094 1.9872011
## X389 1.8005896 -0.558029 1.8436919 1.8218763 1.7953478 1.9872011
## X390 -0.5547896 -0.558029 -0.5418196 1.8218763 1.7953478 1.9872011
## X391 1.8005896 1.790137 1.8436919 -0.5483075 -0.5564094 -0.5026912
## X392 -0.5547896 1.790137 -0.5418196 -0.5483075 -0.5564094 1.9872011
## X393 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X394 1.8005896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X395 -0.5547896 1.790137 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X396 -0.5547896 -0.558029 1.8436919 -0.5483075 -0.5564094 -0.5026912
## X397 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X398 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X399 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X400 -0.5547896 -0.558029 -0.5418196 1.8218763 -0.5564094 1.9872011
## X401 1.8005896 -0.558029 -0.5418196 -0.5483075 1.7953478 -0.5026912
## X402 -0.5547896 1.790137 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X403 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X404 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X405 -0.5547896 -0.558029 1.8436919 1.8218763 1.7953478 1.9872011
## X406 -0.5547896 1.790137 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X407 1.8005896 -0.558029 -0.5418196 1.8218763 1.7953478 -0.5026912
## X408 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X409 1.8005896 -0.558029 1.8436919 1.8218763 1.7953478 -0.5026912
## X410 1.8005896 -0.558029 1.8436919 1.8218763 1.7953478 1.9872011
## X411 1.8005896 -0.558029 1.8436919 -0.5483075 -0.5564094 -0.5026912
## X412 -0.5547896 -0.558029 1.8436919 1.8218763 1.7953478 1.9872011
## X413 1.8005896 -0.558029 -0.5418196 -0.5483075 1.7953478 -0.5026912
## X414 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X415 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X416 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X417 -0.5547896 -0.558029 1.8436919 1.8218763 1.7953478 1.9872011
## X418 -0.5547896 -0.558029 1.8436919 -0.5483075 -0.5564094 -0.5026912
## X419 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X420 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 1.9872011
## X421 -0.5547896 1.790137 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X422 -0.5547896 1.790137 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X423 1.8005896 -0.558029 1.8436919 -0.5483075 -0.5564094 -0.5026912
## X424 1.8005896 1.790137 -0.5418196 -0.5483075 1.7953478 1.9872011
## X425 1.8005896 -0.558029 1.8436919 -0.5483075 -0.5564094 -0.5026912
## X426 1.8005896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X427 -0.5547896 -0.558029 1.8436919 -0.5483075 -0.5564094 -0.5026912
## X428 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X429 1.8005896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X430 -0.5547896 -0.558029 -0.5418196 1.8218763 -0.5564094 -0.5026912
## X431 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X432 -0.5547896 1.790137 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X433 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X434 -0.5547896 -0.558029 -0.5418196 1.8218763 1.7953478 1.9872011
## X435 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X436 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X437 1.8005896 1.790137 1.8436919 -0.5483075 -0.5564094 -0.5026912
## X438 1.8005896 -0.558029 1.8436919 -0.5483075 -0.5564094 -0.5026912
## X439 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X440 -0.5547896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X441 -0.5547896 -0.558029 -0.5418196 1.8218763 1.7953478 1.9872011
## X442 1.8005896 -0.558029 1.8436919 -0.5483075 1.7953478 1.9872011
## X443 1.8005896 -0.558029 1.8436919 1.8218763 1.7953478 1.9872011
## X444 -0.5547896 1.790137 -0.5418196 1.8218763 -0.5564094 -0.5026912
## X445 -0.5547896 -0.558029 -0.5418196 1.8218763 -0.5564094 1.9872011
## X446 -0.5547896 1.790137 -0.5418196 1.8218763 -0.5564094 -0.5026912
## X447 -0.5547896 1.790137 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X448 -0.5547896 -0.558029 -0.5418196 1.8218763 -0.5564094 1.9872011
## X449 1.8005896 1.790137 -0.5418196 1.8218763 1.7953478 1.9872011
## X450 -0.5547896 -0.558029 -0.5418196 -0.5483075 1.7953478 -0.5026912
## X451 -0.5547896 1.790137 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X452 1.8005896 -0.558029 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X453 1.8005896 1.790137 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## X454 1.8005896 1.790137 -0.5418196 -0.5483075 -0.5564094 -0.5026912
## FP103 FP104 FP105 FP106 FP107 FP108 FP109
## X1 -0.5288211 1.8660610 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X2 -0.5288211 1.8660610 1.906619 2.0544663 -0.5174149 -0.5076074 2.157733
## X3 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X4 1.8890101 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X5 -0.5288211 1.8660610 -0.523937 2.0544663 1.9306527 -0.5076074 2.157733
## X6 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 -0.462962
## X7 1.8890101 1.8660610 -0.523937 2.0544663 1.9306527 -0.5076074 2.157733
## X8 1.8890101 1.8660610 1.906619 -0.4862326 -0.5174149 1.9679549 -0.462962
## X9 1.8890101 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X10 1.8890101 -0.5353247 1.906619 -0.4862326 -0.5174149 -0.5076074 2.157733
## X11 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X12 1.8890101 -0.5353247 1.906619 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X13 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X14 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 -0.462962
## X15 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X16 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 1.9679549 -0.462962
## X17 1.8890101 1.8660610 1.906619 2.0544663 -0.5174149 1.9679549 2.157733
## X18 -0.5288211 1.8660610 1.906619 2.0544663 1.9306527 -0.5076074 2.157733
## X19 1.8890101 -0.5353247 1.906619 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X20 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X21 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 1.9679549 -0.462962
## X22 1.8890101 -0.5353247 1.906619 2.0544663 -0.5174149 -0.5076074 2.157733
## X23 -0.5288211 -0.5353247 1.906619 -0.4862326 1.9306527 1.9679549 2.157733
## X24 -0.5288211 1.8660610 1.906619 2.0544663 1.9306527 -0.5076074 -0.462962
## X25 -0.5288211 -0.5353247 -0.523937 2.0544663 -0.5174149 1.9679549 -0.462962
## X26 -0.5288211 -0.5353247 1.906619 2.0544663 -0.5174149 -0.5076074 -0.462962
## X27 1.8890101 1.8660610 -0.523937 2.0544663 -0.5174149 1.9679549 2.157733
## X28 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 2.157733
## X29 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 1.9679549 -0.462962
## X30 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 -0.462962
## X31 1.8890101 1.8660610 1.906619 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X32 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X33 1.8890101 -0.5353247 1.906619 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X34 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X35 1.8890101 -0.5353247 -0.523937 -0.4862326 -0.5174149 1.9679549 -0.462962
## X36 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X37 1.8890101 -0.5353247 1.906619 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X38 1.8890101 -0.5353247 1.906619 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X39 1.8890101 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X40 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 2.157733
## X41 1.8890101 -0.5353247 1.906619 -0.4862326 -0.5174149 1.9679549 -0.462962
## X42 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 1.9679549 2.157733
## X43 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X44 -0.5288211 1.8660610 1.906619 2.0544663 1.9306527 -0.5076074 2.157733
## X45 -0.5288211 1.8660610 -0.523937 2.0544663 1.9306527 -0.5076074 2.157733
## X46 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X47 1.8890101 -0.5353247 1.906619 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X48 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 2.157733
## X49 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 1.9679549 -0.462962
## X50 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X51 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X52 1.8890101 -0.5353247 1.906619 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X53 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 -0.462962
## X54 -0.5288211 1.8660610 -0.523937 2.0544663 1.9306527 -0.5076074 2.157733
## X55 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 -0.462962
## X56 1.8890101 -0.5353247 1.906619 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X57 1.8890101 1.8660610 1.906619 -0.4862326 -0.5174149 1.9679549 2.157733
## X58 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 2.157733
## X59 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 1.9679549 -0.462962
## X60 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 1.9679549 -0.462962
## X61 1.8890101 1.8660610 1.906619 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X62 1.8890101 1.8660610 1.906619 -0.4862326 -0.5174149 1.9679549 -0.462962
## X63 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 -0.462962
## X64 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X65 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 1.9679549 -0.462962
## X66 1.8890101 1.8660610 1.906619 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X67 1.8890101 1.8660610 1.906619 2.0544663 1.9306527 1.9679549 2.157733
## X68 1.8890101 -0.5353247 1.906619 -0.4862326 -0.5174149 1.9679549 -0.462962
## X69 1.8890101 -0.5353247 1.906619 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X70 1.8890101 1.8660610 1.906619 2.0544663 -0.5174149 -0.5076074 2.157733
## X71 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X72 1.8890101 1.8660610 1.906619 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X73 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 1.9679549 -0.462962
## X74 -0.5288211 -0.5353247 -0.523937 2.0544663 -0.5174149 -0.5076074 -0.462962
## X75 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 -0.462962
## X76 1.8890101 -0.5353247 -0.523937 -0.4862326 -0.5174149 1.9679549 -0.462962
## X77 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X78 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 2.157733
## X79 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X80 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 1.9679549 -0.462962
## X81 1.8890101 -0.5353247 1.906619 -0.4862326 1.9306527 1.9679549 -0.462962
## X82 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X83 1.8890101 1.8660610 1.906619 2.0544663 1.9306527 -0.5076074 2.157733
## X84 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 -0.462962
## X85 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X86 1.8890101 1.8660610 1.906619 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X87 1.8890101 1.8660610 1.906619 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X88 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X89 -0.5288211 1.8660610 1.906619 2.0544663 1.9306527 1.9679549 -0.462962
## X90 -0.5288211 1.8660610 1.906619 2.0544663 -0.5174149 -0.5076074 -0.462962
## X91 1.8890101 -0.5353247 1.906619 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X92 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 2.157733
## X93 -0.5288211 -0.5353247 -0.523937 2.0544663 1.9306527 -0.5076074 -0.462962
## X94 1.8890101 -0.5353247 1.906619 -0.4862326 -0.5174149 1.9679549 -0.462962
## X95 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X96 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 1.9679549 -0.462962
## X97 1.8890101 1.8660610 1.906619 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X98 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 -0.462962
## X99 1.8890101 -0.5353247 1.906619 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X100 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 -0.462962
## X101 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 -0.462962
## X102 1.8890101 1.8660610 1.906619 2.0544663 -0.5174149 -0.5076074 2.157733
## X103 1.8890101 1.8660610 1.906619 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X104 -0.5288211 1.8660610 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X105 -0.5288211 -0.5353247 -0.523937 2.0544663 1.9306527 -0.5076074 -0.462962
## X106 1.8890101 -0.5353247 1.906619 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X107 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 2.157733
## X108 1.8890101 -0.5353247 1.906619 -0.4862326 -0.5174149 1.9679549 -0.462962
## X109 -0.5288211 -0.5353247 -0.523937 2.0544663 -0.5174149 1.9679549 -0.462962
## X110 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 1.9679549 -0.462962
## X111 -0.5288211 -0.5353247 1.906619 -0.4862326 -0.5174149 1.9679549 -0.462962
## X112 -0.5288211 -0.5353247 -0.523937 2.0544663 1.9306527 -0.5076074 -0.462962
## X113 1.8890101 1.8660610 1.906619 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X114 -0.5288211 1.8660610 -0.523937 2.0544663 1.9306527 1.9679549 2.157733
## X115 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 -0.462962
## X116 -0.5288211 -0.5353247 -0.523937 2.0544663 1.9306527 -0.5076074 2.157733
## X117 1.8890101 1.8660610 1.906619 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X118 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 -0.462962
## X119 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X120 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 2.157733
## X121 -0.5288211 -0.5353247 -0.523937 2.0544663 1.9306527 -0.5076074 -0.462962
## X122 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 -0.462962
## X123 -0.5288211 -0.5353247 -0.523937 2.0544663 1.9306527 1.9679549 -0.462962
## X124 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 -0.462962
## X125 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 -0.462962
## X126 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 -0.462962
## X127 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 -0.462962
## X128 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 -0.462962
## X129 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 -0.462962
## X130 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X131 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X132 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 -0.462962
## X133 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X134 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 -0.462962
## X135 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X136 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 -0.462962
## X137 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 -0.462962
## X138 1.8890101 1.8660610 1.906619 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X139 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 -0.462962
## X140 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X141 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 -0.462962
## X142 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 -0.462962
## X143 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 -0.462962
## X144 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 -0.462962
## X145 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 -0.462962
## X146 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 -0.462962
## X147 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 -0.462962
## X148 1.8890101 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X149 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X150 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 -0.462962
## X151 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X152 -0.5288211 1.8660610 -0.523937 2.0544663 -0.5174149 -0.5076074 -0.462962
## X153 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 -0.462962
## X154 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 -0.462962
## X155 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 -0.462962
## X156 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X157 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 -0.462962
## X158 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 -0.462962
## X159 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 -0.462962
## X160 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 1.9679549 -0.462962
## X161 1.8890101 1.8660610 1.906619 -0.4862326 1.9306527 -0.5076074 -0.462962
## X162 1.8890101 -0.5353247 1.906619 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X163 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X164 1.8890101 -0.5353247 1.906619 -0.4862326 -0.5174149 1.9679549 -0.462962
## X165 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 -0.462962
## X166 -0.5288211 -0.5353247 1.906619 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X167 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X168 -0.5288211 1.8660610 -0.523937 2.0544663 -0.5174149 -0.5076074 2.157733
## X169 -0.5288211 -0.5353247 -0.523937 2.0544663 -0.5174149 1.9679549 -0.462962
## X170 -0.5288211 1.8660610 -0.523937 -0.4862326 -0.5174149 1.9679549 -0.462962
## X171 1.8890101 -0.5353247 -0.523937 -0.4862326 -0.5174149 1.9679549 -0.462962
## X172 -0.5288211 1.8660610 1.906619 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X173 -0.5288211 1.8660610 -0.523937 2.0544663 -0.5174149 -0.5076074 2.157733
## X174 -0.5288211 -0.5353247 -0.523937 2.0544663 -0.5174149 -0.5076074 2.157733
## X175 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 -0.462962
## X176 -0.5288211 1.8660610 -0.523937 2.0544663 -0.5174149 -0.5076074 2.157733
## X177 1.8890101 -0.5353247 1.906619 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X178 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 -0.462962
## X179 1.8890101 -0.5353247 1.906619 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X180 1.8890101 -0.5353247 1.906619 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X181 1.8890101 1.8660610 1.906619 2.0544663 -0.5174149 -0.5076074 2.157733
## X182 1.8890101 1.8660610 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X183 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X184 -0.5288211 1.8660610 -0.523937 -0.4862326 1.9306527 -0.5076074 -0.462962
## X185 1.8890101 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X186 -0.5288211 -0.5353247 1.906619 -0.4862326 1.9306527 -0.5076074 -0.462962
## X187 1.8890101 1.8660610 1.906619 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X188 -0.5288211 -0.5353247 1.906619 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X189 -0.5288211 1.8660610 1.906619 2.0544663 -0.5174149 -0.5076074 2.157733
## X190 -0.5288211 -0.5353247 -0.523937 2.0544663 -0.5174149 1.9679549 -0.462962
## X191 1.8890101 -0.5353247 1.906619 -0.4862326 -0.5174149 1.9679549 -0.462962
## X192 -0.5288211 1.8660610 -0.523937 -0.4862326 -0.5174149 -0.5076074 2.157733
## X193 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X194 1.8890101 -0.5353247 1.906619 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X195 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X196 1.8890101 -0.5353247 1.906619 -0.4862326 -0.5174149 1.9679549 -0.462962
## X197 -0.5288211 -0.5353247 -0.523937 2.0544663 1.9306527 1.9679549 -0.462962
## X198 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 -0.462962
## X199 -0.5288211 -0.5353247 -0.523937 2.0544663 1.9306527 -0.5076074 -0.462962
## X200 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 -0.462962
## X201 1.8890101 -0.5353247 1.906619 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X202 1.8890101 -0.5353247 1.906619 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X203 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 1.9679549 -0.462962
## X204 -0.5288211 -0.5353247 -0.523937 2.0544663 1.9306527 1.9679549 -0.462962
## X205 -0.5288211 -0.5353247 -0.523937 2.0544663 1.9306527 -0.5076074 -0.462962
## X206 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 -0.462962
## X207 -0.5288211 -0.5353247 -0.523937 2.0544663 1.9306527 1.9679549 -0.462962
## X208 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 -0.462962
## X209 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X210 -0.5288211 -0.5353247 1.906619 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X211 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 -0.462962
## X212 -0.5288211 -0.5353247 -0.523937 2.0544663 1.9306527 -0.5076074 -0.462962
## X213 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 -0.462962
## X214 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 1.9679549 -0.462962
## X215 -0.5288211 -0.5353247 -0.523937 2.0544663 1.9306527 -0.5076074 -0.462962
## X216 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 -0.462962
## X217 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 -0.462962
## X218 -0.5288211 -0.5353247 -0.523937 2.0544663 -0.5174149 1.9679549 -0.462962
## X219 1.8890101 1.8660610 1.906619 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X220 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 -0.462962
## X221 1.8890101 1.8660610 1.906619 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X222 -0.5288211 -0.5353247 -0.523937 2.0544663 1.9306527 -0.5076074 -0.462962
## X223 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X224 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 -0.462962
## X225 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X226 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X227 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 -0.462962
## X228 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 -0.462962
## X229 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X230 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X231 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 -0.462962
## X232 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 -0.462962
## X233 -0.5288211 1.8660610 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X234 1.8890101 -0.5353247 1.906619 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X235 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 -0.462962
## X236 -0.5288211 -0.5353247 -0.523937 2.0544663 1.9306527 1.9679549 -0.462962
## X237 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 -0.462962
## X238 -0.5288211 -0.5353247 -0.523937 2.0544663 1.9306527 -0.5076074 -0.462962
## X239 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 1.9679549 -0.462962
## X240 1.8890101 -0.5353247 -0.523937 2.0544663 1.9306527 -0.5076074 -0.462962
## X241 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X242 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 -0.462962
## X243 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X244 -0.5288211 1.8660610 -0.523937 2.0544663 -0.5174149 1.9679549 2.157733
## X245 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 1.9679549 -0.462962
## X246 1.8890101 -0.5353247 1.906619 -0.4862326 -0.5174149 -0.5076074 2.157733
## X247 -0.5288211 1.8660610 -0.523937 2.0544663 -0.5174149 1.9679549 2.157733
## X248 1.8890101 1.8660610 1.906619 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X249 -0.5288211 -0.5353247 1.906619 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X250 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 -0.462962
## X251 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X252 -0.5288211 1.8660610 -0.523937 -0.4862326 -0.5174149 -0.5076074 2.157733
## X253 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 -0.462962
## X254 -0.5288211 1.8660610 -0.523937 -0.4862326 -0.5174149 1.9679549 -0.462962
## X255 -0.5288211 1.8660610 -0.523937 -0.4862326 1.9306527 -0.5076074 2.157733
## X256 1.8890101 1.8660610 1.906619 -0.4862326 -0.5174149 1.9679549 -0.462962
## X257 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 2.157733
## X258 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 -0.462962
## X259 -0.5288211 1.8660610 1.906619 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X260 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X261 -0.5288211 1.8660610 -0.523937 2.0544663 -0.5174149 -0.5076074 2.157733
## X262 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X263 1.8890101 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X264 -0.5288211 1.8660610 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X265 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 -0.462962
## X266 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 -0.462962
## X267 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 2.157733
## X268 1.8890101 -0.5353247 1.906619 -0.4862326 -0.5174149 1.9679549 -0.462962
## X269 1.8890101 -0.5353247 -0.523937 -0.4862326 -0.5174149 1.9679549 -0.462962
## X270 -0.5288211 -0.5353247 1.906619 -0.4862326 -0.5174149 1.9679549 -0.462962
## X271 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X272 1.8890101 -0.5353247 -0.523937 -0.4862326 1.9306527 1.9679549 2.157733
## X273 1.8890101 -0.5353247 1.906619 -0.4862326 1.9306527 -0.5076074 -0.462962
## X274 1.8890101 1.8660610 1.906619 2.0544663 -0.5174149 -0.5076074 -0.462962
## X275 1.8890101 1.8660610 1.906619 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X276 -0.5288211 -0.5353247 -0.523937 2.0544663 1.9306527 -0.5076074 2.157733
## X277 -0.5288211 1.8660610 -0.523937 -0.4862326 -0.5174149 1.9679549 -0.462962
## X278 -0.5288211 1.8660610 -0.523937 2.0544663 -0.5174149 -0.5076074 2.157733
## X279 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X280 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 -0.462962
## X281 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X282 -0.5288211 1.8660610 -0.523937 2.0544663 1.9306527 -0.5076074 2.157733
## X283 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X284 1.8890101 1.8660610 -0.523937 2.0544663 -0.5174149 -0.5076074 2.157733
## X285 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 2.157733
## X286 -0.5288211 1.8660610 -0.523937 2.0544663 -0.5174149 -0.5076074 2.157733
## X287 -0.5288211 1.8660610 -0.523937 2.0544663 -0.5174149 1.9679549 2.157733
## X288 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X289 -0.5288211 -0.5353247 -0.523937 2.0544663 -0.5174149 -0.5076074 -0.462962
## X290 -0.5288211 1.8660610 -0.523937 -0.4862326 1.9306527 -0.5076074 2.157733
## X291 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X292 -0.5288211 1.8660610 -0.523937 2.0544663 -0.5174149 -0.5076074 2.157733
## X293 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X294 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 1.9679549 -0.462962
## X295 -0.5288211 -0.5353247 -0.523937 2.0544663 -0.5174149 1.9679549 2.157733
## X296 -0.5288211 1.8660610 -0.523937 2.0544663 -0.5174149 1.9679549 2.157733
## X297 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 1.9679549 -0.462962
## X298 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 2.157733
## X299 1.8890101 1.8660610 1.906619 2.0544663 -0.5174149 -0.5076074 -0.462962
## X300 1.8890101 1.8660610 1.906619 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X301 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 2.157733
## X302 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X303 -0.5288211 1.8660610 -0.523937 2.0544663 -0.5174149 -0.5076074 2.157733
## X304 -0.5288211 1.8660610 -0.523937 2.0544663 1.9306527 -0.5076074 2.157733
## X305 -0.5288211 -0.5353247 1.906619 2.0544663 -0.5174149 -0.5076074 -0.462962
## X306 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 -0.462962
## X307 -0.5288211 1.8660610 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X308 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X309 -0.5288211 1.8660610 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X310 1.8890101 -0.5353247 1.906619 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X311 1.8890101 -0.5353247 1.906619 -0.4862326 1.9306527 -0.5076074 -0.462962
## X312 1.8890101 -0.5353247 -0.523937 2.0544663 -0.5174149 -0.5076074 -0.462962
## X313 -0.5288211 1.8660610 1.906619 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X314 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 -0.462962
## X315 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 1.9679549 -0.462962
## X316 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X317 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X318 -0.5288211 1.8660610 -0.523937 -0.4862326 -0.5174149 1.9679549 -0.462962
## X319 1.8890101 1.8660610 -0.523937 -0.4862326 -0.5174149 -0.5076074 2.157733
## X320 -0.5288211 1.8660610 -0.523937 2.0544663 1.9306527 -0.5076074 2.157733
## X321 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 1.9679549 -0.462962
## X322 1.8890101 -0.5353247 -0.523937 -0.4862326 1.9306527 1.9679549 2.157733
## X323 -0.5288211 1.8660610 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X324 -0.5288211 -0.5353247 1.906619 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X325 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X326 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 -0.462962
## X327 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X328 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X329 -0.5288211 -0.5353247 1.906619 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X330 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 2.157733
## X331 -0.5288211 -0.5353247 -0.523937 2.0544663 -0.5174149 -0.5076074 2.157733
## X332 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 2.157733
## X333 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 1.9679549 2.157733
## X334 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 1.9679549 2.157733
## X335 1.8890101 -0.5353247 1.906619 -0.4862326 -0.5174149 1.9679549 2.157733
## X336 1.8890101 -0.5353247 1.906619 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X337 -0.5288211 1.8660610 -0.523937 2.0544663 -0.5174149 1.9679549 2.157733
## X338 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 1.9679549 -0.462962
## X339 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 2.157733
## X340 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X341 1.8890101 1.8660610 1.906619 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X342 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X343 -0.5288211 1.8660610 -0.523937 2.0544663 -0.5174149 -0.5076074 2.157733
## X344 -0.5288211 -0.5353247 -0.523937 2.0544663 -0.5174149 1.9679549 -0.462962
## X345 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X346 1.8890101 1.8660610 -0.523937 2.0544663 -0.5174149 -0.5076074 -0.462962
## X347 1.8890101 -0.5353247 1.906619 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X348 -0.5288211 1.8660610 -0.523937 -0.4862326 -0.5174149 1.9679549 -0.462962
## X349 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X350 -0.5288211 1.8660610 -0.523937 2.0544663 -0.5174149 -0.5076074 -0.462962
## X351 1.8890101 1.8660610 1.906619 -0.4862326 -0.5174149 1.9679549 -0.462962
## X352 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 -0.462962
## X353 -0.5288211 -0.5353247 1.906619 2.0544663 -0.5174149 -0.5076074 -0.462962
## X354 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X355 -0.5288211 1.8660610 1.906619 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X356 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X357 1.8890101 -0.5353247 -0.523937 2.0544663 -0.5174149 1.9679549 -0.462962
## X358 1.8890101 1.8660610 1.906619 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X359 -0.5288211 1.8660610 -0.523937 2.0544663 -0.5174149 -0.5076074 -0.462962
## X360 1.8890101 -0.5353247 1.906619 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X361 -0.5288211 -0.5353247 1.906619 -0.4862326 -0.5174149 1.9679549 -0.462962
## X362 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X363 -0.5288211 1.8660610 -0.523937 2.0544663 -0.5174149 -0.5076074 2.157733
## X364 -0.5288211 1.8660610 1.906619 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X365 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 1.9679549 2.157733
## X366 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X367 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 -0.462962
## X368 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X369 1.8890101 -0.5353247 -0.523937 -0.4862326 -0.5174149 1.9679549 -0.462962
## X370 -0.5288211 1.8660610 -0.523937 2.0544663 -0.5174149 -0.5076074 2.157733
## X371 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 -0.462962
## X372 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 2.157733
## X373 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X374 -0.5288211 1.8660610 -0.523937 -0.4862326 1.9306527 -0.5076074 2.157733
## X375 -0.5288211 1.8660610 -0.523937 2.0544663 1.9306527 1.9679549 -0.462962
## X376 1.8890101 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X377 1.8890101 -0.5353247 1.906619 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X378 1.8890101 -0.5353247 1.906619 -0.4862326 -0.5174149 -0.5076074 2.157733
## X379 1.8890101 -0.5353247 1.906619 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X380 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 -0.462962
## X381 -0.5288211 -0.5353247 1.906619 -0.4862326 1.9306527 1.9679549 -0.462962
## X382 -0.5288211 1.8660610 1.906619 2.0544663 -0.5174149 -0.5076074 -0.462962
## X383 1.8890101 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X384 1.8890101 -0.5353247 1.906619 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X385 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X386 -0.5288211 1.8660610 -0.523937 2.0544663 -0.5174149 -0.5076074 2.157733
## X387 -0.5288211 1.8660610 1.906619 2.0544663 -0.5174149 -0.5076074 2.157733
## X388 -0.5288211 -0.5353247 -0.523937 2.0544663 1.9306527 -0.5076074 2.157733
## X389 -0.5288211 1.8660610 -0.523937 2.0544663 -0.5174149 1.9679549 -0.462962
## X390 -0.5288211 1.8660610 1.906619 2.0544663 -0.5174149 -0.5076074 2.157733
## X391 1.8890101 -0.5353247 1.906619 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X392 1.8890101 -0.5353247 1.906619 -0.4862326 -0.5174149 1.9679549 -0.462962
## X393 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X394 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 -0.462962
## X395 1.8890101 -0.5353247 1.906619 -0.4862326 -0.5174149 1.9679549 2.157733
## X396 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 -0.462962
## X397 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X398 1.8890101 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X399 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X400 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 1.9679549 2.157733
## X401 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X402 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X403 1.8890101 -0.5353247 1.906619 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X404 -0.5288211 -0.5353247 1.906619 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X405 -0.5288211 1.8660610 -0.523937 2.0544663 1.9306527 -0.5076074 -0.462962
## X406 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X407 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X408 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 -0.462962
## X409 1.8890101 1.8660610 -0.523937 2.0544663 -0.5174149 -0.5076074 -0.462962
## X410 -0.5288211 1.8660610 -0.523937 2.0544663 1.9306527 -0.5076074 2.157733
## X411 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X412 -0.5288211 -0.5353247 -0.523937 2.0544663 -0.5174149 -0.5076074 2.157733
## X413 -0.5288211 1.8660610 -0.523937 -0.4862326 -0.5174149 -0.5076074 2.157733
## X414 1.8890101 1.8660610 1.906619 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X415 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X416 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X417 -0.5288211 1.8660610 -0.523937 2.0544663 -0.5174149 -0.5076074 2.157733
## X418 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X419 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X420 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 2.157733
## X421 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 2.157733
## X422 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 1.9679549 -0.462962
## X423 1.8890101 -0.5353247 1.906619 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X424 -0.5288211 1.8660610 1.906619 2.0544663 -0.5174149 -0.5076074 2.157733
## X425 1.8890101 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X426 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X427 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 -0.462962
## X428 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 -0.462962
## X429 -0.5288211 -0.5353247 1.906619 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X430 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 2.157733
## X431 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 -0.462962
## X432 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 -0.462962
## X433 -0.5288211 1.8660610 1.906619 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X434 -0.5288211 1.8660610 -0.523937 -0.4862326 -0.5174149 -0.5076074 2.157733
## X435 1.8890101 1.8660610 1.906619 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X436 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X437 -0.5288211 1.8660610 -0.523937 2.0544663 -0.5174149 1.9679549 -0.462962
## X438 1.8890101 -0.5353247 1.906619 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X439 1.8890101 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X440 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 -0.5076074 -0.462962
## X441 -0.5288211 1.8660610 -0.523937 2.0544663 -0.5174149 -0.5076074 2.157733
## X442 -0.5288211 1.8660610 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X443 -0.5288211 1.8660610 -0.523937 2.0544663 1.9306527 -0.5076074 2.157733
## X444 1.8890101 1.8660610 1.906619 -0.4862326 -0.5174149 1.9679549 -0.462962
## X445 1.8890101 -0.5353247 1.906619 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X446 -0.5288211 -0.5353247 -0.523937 -0.4862326 1.9306527 1.9679549 2.157733
## X447 1.8890101 1.8660610 1.906619 -0.4862326 -0.5174149 1.9679549 -0.462962
## X448 1.8890101 -0.5353247 1.906619 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X449 -0.5288211 1.8660610 1.906619 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X450 -0.5288211 -0.5353247 -0.523937 2.0544663 -0.5174149 -0.5076074 -0.462962
## X451 1.8890101 1.8660610 1.906619 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X452 -0.5288211 -0.5353247 -0.523937 -0.4862326 -0.5174149 -0.5076074 -0.462962
## X453 -0.5288211 1.8660610 -0.523937 -0.4862326 -0.5174149 1.9679549 -0.462962
## X454 -0.5288211 1.8660610 -0.523937 2.0544663 -0.5174149 1.9679549 -0.462962
## FP110 FP111 FP112 FP113 FP114 FP115
## X1 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X2 -0.5092442 -0.4944765 -0.4911827 2.0269629 -0.4290863 -0.4663054
## X3 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X4 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X5 -0.5092442 2.0202142 2.0337617 -0.4928302 2.3280830 -0.4663054
## X6 1.9616295 2.0202142 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X7 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X8 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X9 -0.5092442 -0.4944765 2.0337617 2.0269629 -0.4290863 2.1422621
## X10 1.9616295 2.0202142 -0.4911827 2.0269629 2.3280830 -0.4663054
## X11 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 2.1422621
## X12 -0.5092442 -0.4944765 -0.4911827 2.0269629 -0.4290863 -0.4663054
## X13 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X14 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X15 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X16 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X17 1.9616295 2.0202142 -0.4911827 -0.4928302 2.3280830 2.1422621
## X18 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X19 -0.5092442 -0.4944765 -0.4911827 2.0269629 -0.4290863 -0.4663054
## X20 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X21 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X22 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X23 1.9616295 -0.4944765 -0.4911827 -0.4928302 2.3280830 -0.4663054
## X24 1.9616295 2.0202142 -0.4911827 2.0269629 -0.4290863 2.1422621
## X25 -0.5092442 2.0202142 -0.4911827 -0.4928302 -0.4290863 2.1422621
## X26 1.9616295 2.0202142 -0.4911827 2.0269629 2.3280830 2.1422621
## X27 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X28 -0.5092442 -0.4944765 -0.4911827 -0.4928302 2.3280830 -0.4663054
## X29 1.9616295 2.0202142 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X30 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X31 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X32 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X33 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X34 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X35 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X36 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X37 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X38 -0.5092442 -0.4944765 -0.4911827 2.0269629 -0.4290863 -0.4663054
## X39 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X40 -0.5092442 2.0202142 -0.4911827 -0.4928302 2.3280830 -0.4663054
## X41 -0.5092442 -0.4944765 -0.4911827 2.0269629 -0.4290863 2.1422621
## X42 1.9616295 2.0202142 2.0337617 2.0269629 2.3280830 -0.4663054
## X43 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X44 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X45 -0.5092442 2.0202142 2.0337617 -0.4928302 2.3280830 -0.4663054
## X46 -0.5092442 2.0202142 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X47 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X48 -0.5092442 -0.4944765 -0.4911827 -0.4928302 2.3280830 -0.4663054
## X49 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X50 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X51 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X52 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X53 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X54 -0.5092442 2.0202142 2.0337617 -0.4928302 2.3280830 -0.4663054
## X55 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X56 -0.5092442 -0.4944765 -0.4911827 2.0269629 -0.4290863 -0.4663054
## X57 -0.5092442 -0.4944765 -0.4911827 -0.4928302 2.3280830 -0.4663054
## X58 -0.5092442 -0.4944765 -0.4911827 -0.4928302 2.3280830 -0.4663054
## X59 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 2.1422621
## X60 1.9616295 -0.4944765 2.0337617 -0.4928302 -0.4290863 2.1422621
## X61 -0.5092442 -0.4944765 -0.4911827 2.0269629 -0.4290863 -0.4663054
## X62 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X63 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X64 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X65 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 2.1422621
## X66 -0.5092442 -0.4944765 -0.4911827 2.0269629 -0.4290863 -0.4663054
## X67 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X68 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 2.1422621
## X69 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X70 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X71 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X72 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X73 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X74 -0.5092442 2.0202142 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X75 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X76 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 2.1422621
## X77 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X78 -0.5092442 -0.4944765 2.0337617 -0.4928302 2.3280830 -0.4663054
## X79 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X80 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X81 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 2.1422621
## X82 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X83 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X84 1.9616295 -0.4944765 2.0337617 -0.4928302 2.3280830 2.1422621
## X85 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X86 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X87 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X88 -0.5092442 -0.4944765 -0.4911827 2.0269629 -0.4290863 2.1422621
## X89 1.9616295 2.0202142 2.0337617 2.0269629 2.3280830 2.1422621
## X90 -0.5092442 2.0202142 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X91 1.9616295 -0.4944765 -0.4911827 2.0269629 -0.4290863 2.1422621
## X92 -0.5092442 -0.4944765 -0.4911827 -0.4928302 2.3280830 -0.4663054
## X93 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X94 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X95 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 2.1422621
## X96 -0.5092442 -0.4944765 2.0337617 2.0269629 -0.4290863 -0.4663054
## X97 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X98 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X99 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 2.1422621
## X100 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X101 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X102 -0.5092442 2.0202142 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X103 -0.5092442 -0.4944765 -0.4911827 2.0269629 -0.4290863 -0.4663054
## X104 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X105 1.9616295 2.0202142 -0.4911827 -0.4928302 -0.4290863 2.1422621
## X106 -0.5092442 -0.4944765 -0.4911827 2.0269629 -0.4290863 -0.4663054
## X107 -0.5092442 -0.4944765 -0.4911827 -0.4928302 2.3280830 -0.4663054
## X108 -0.5092442 -0.4944765 -0.4911827 2.0269629 -0.4290863 2.1422621
## X109 -0.5092442 2.0202142 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X110 1.9616295 -0.4944765 -0.4911827 -0.4928302 -0.4290863 2.1422621
## X111 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 2.1422621
## X112 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X113 -0.5092442 -0.4944765 -0.4911827 2.0269629 -0.4290863 -0.4663054
## X114 1.9616295 2.0202142 2.0337617 -0.4928302 2.3280830 -0.4663054
## X115 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X116 1.9616295 2.0202142 2.0337617 -0.4928302 2.3280830 2.1422621
## X117 -0.5092442 -0.4944765 -0.4911827 2.0269629 -0.4290863 -0.4663054
## X118 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X119 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X120 -0.5092442 -0.4944765 -0.4911827 -0.4928302 2.3280830 -0.4663054
## X121 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X122 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X123 1.9616295 2.0202142 -0.4911827 -0.4928302 -0.4290863 2.1422621
## X124 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X125 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X126 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X127 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X128 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X129 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X130 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X131 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X132 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X133 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X134 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X135 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X136 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X137 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X138 -0.5092442 -0.4944765 -0.4911827 2.0269629 -0.4290863 -0.4663054
## X139 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X140 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X141 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X142 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X143 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X144 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X145 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X146 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X147 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X148 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X149 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X150 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X151 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X152 -0.5092442 2.0202142 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X153 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X154 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X155 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X156 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X157 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X158 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X159 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X160 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X161 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X162 -0.5092442 -0.4944765 -0.4911827 2.0269629 -0.4290863 -0.4663054
## X163 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X164 -0.5092442 -0.4944765 -0.4911827 2.0269629 -0.4290863 2.1422621
## X165 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X166 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X167 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X168 -0.5092442 2.0202142 -0.4911827 -0.4928302 2.3280830 -0.4663054
## X169 -0.5092442 2.0202142 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X170 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X171 -0.5092442 -0.4944765 2.0337617 2.0269629 -0.4290863 2.1422621
## X172 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X173 1.9616295 2.0202142 -0.4911827 -0.4928302 2.3280830 2.1422621
## X174 -0.5092442 2.0202142 -0.4911827 -0.4928302 2.3280830 -0.4663054
## X175 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X176 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X177 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 2.1422621
## X178 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X179 -0.5092442 -0.4944765 -0.4911827 2.0269629 -0.4290863 -0.4663054
## X180 -0.5092442 -0.4944765 -0.4911827 2.0269629 -0.4290863 -0.4663054
## X181 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X182 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 2.1422621
## X183 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X184 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X185 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X186 -0.5092442 -0.4944765 2.0337617 2.0269629 -0.4290863 -0.4663054
## X187 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X188 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X189 -0.5092442 2.0202142 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X190 -0.5092442 2.0202142 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X191 -0.5092442 -0.4944765 -0.4911827 2.0269629 -0.4290863 2.1422621
## X192 1.9616295 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X193 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X194 -0.5092442 -0.4944765 -0.4911827 2.0269629 -0.4290863 -0.4663054
## X195 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X196 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 2.1422621
## X197 1.9616295 2.0202142 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X198 1.9616295 2.0202142 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X199 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X200 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X201 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X202 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X203 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X204 -0.5092442 2.0202142 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X205 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X206 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X207 -0.5092442 2.0202142 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X208 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X209 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X210 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X211 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X212 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X213 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X214 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X215 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X216 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X217 -0.5092442 2.0202142 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X218 -0.5092442 2.0202142 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X219 -0.5092442 -0.4944765 -0.4911827 2.0269629 -0.4290863 -0.4663054
## X220 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X221 -0.5092442 -0.4944765 -0.4911827 2.0269629 -0.4290863 -0.4663054
## X222 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X223 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X224 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X225 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X226 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X227 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X228 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X229 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X230 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X231 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X232 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X233 1.9616295 2.0202142 -0.4911827 -0.4928302 -0.4290863 2.1422621
## X234 -0.5092442 -0.4944765 -0.4911827 2.0269629 -0.4290863 -0.4663054
## X235 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X236 1.9616295 2.0202142 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X237 -0.5092442 2.0202142 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X238 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X239 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X240 1.9616295 -0.4944765 2.0337617 2.0269629 2.3280830 2.1422621
## X241 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X242 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X243 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X244 1.9616295 2.0202142 -0.4911827 -0.4928302 2.3280830 2.1422621
## X245 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X246 1.9616295 -0.4944765 -0.4911827 2.0269629 2.3280830 -0.4663054
## X247 -0.5092442 2.0202142 -0.4911827 -0.4928302 2.3280830 2.1422621
## X248 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X249 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X250 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X251 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X252 -0.5092442 -0.4944765 -0.4911827 2.0269629 2.3280830 -0.4663054
## X253 -0.5092442 2.0202142 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X254 -0.5092442 -0.4944765 -0.4911827 2.0269629 -0.4290863 -0.4663054
## X255 1.9616295 2.0202142 2.0337617 -0.4928302 -0.4290863 2.1422621
## X256 1.9616295 2.0202142 -0.4911827 2.0269629 -0.4290863 -0.4663054
## X257 -0.5092442 -0.4944765 -0.4911827 -0.4928302 2.3280830 -0.4663054
## X258 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X259 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X260 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X261 1.9616295 2.0202142 -0.4911827 -0.4928302 -0.4290863 2.1422621
## X262 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X263 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X264 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X265 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X266 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X267 -0.5092442 -0.4944765 -0.4911827 -0.4928302 2.3280830 -0.4663054
## X268 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X269 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X270 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X271 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X272 1.9616295 -0.4944765 -0.4911827 -0.4928302 2.3280830 -0.4663054
## X273 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X274 1.9616295 2.0202142 -0.4911827 -0.4928302 -0.4290863 2.1422621
## X275 -0.5092442 -0.4944765 -0.4911827 2.0269629 -0.4290863 -0.4663054
## X276 -0.5092442 -0.4944765 2.0337617 -0.4928302 2.3280830 -0.4663054
## X277 -0.5092442 -0.4944765 -0.4911827 2.0269629 -0.4290863 -0.4663054
## X278 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X279 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X280 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X281 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X282 1.9616295 2.0202142 2.0337617 -0.4928302 2.3280830 2.1422621
## X283 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X284 1.9616295 -0.4944765 -0.4911827 2.0269629 -0.4290863 -0.4663054
## X285 1.9616295 -0.4944765 2.0337617 -0.4928302 2.3280830 -0.4663054
## X286 -0.5092442 2.0202142 -0.4911827 -0.4928302 2.3280830 2.1422621
## X287 -0.5092442 2.0202142 -0.4911827 2.0269629 2.3280830 -0.4663054
## X288 -0.5092442 -0.4944765 2.0337617 2.0269629 -0.4290863 -0.4663054
## X289 1.9616295 -0.4944765 -0.4911827 -0.4928302 2.3280830 2.1422621
## X290 1.9616295 -0.4944765 2.0337617 -0.4928302 2.3280830 -0.4663054
## X291 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X292 1.9616295 2.0202142 -0.4911827 -0.4928302 2.3280830 2.1422621
## X293 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X294 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X295 1.9616295 2.0202142 -0.4911827 -0.4928302 2.3280830 2.1422621
## X296 1.9616295 2.0202142 -0.4911827 -0.4928302 2.3280830 2.1422621
## X297 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X298 1.9616295 -0.4944765 2.0337617 -0.4928302 2.3280830 -0.4663054
## X299 1.9616295 2.0202142 -0.4911827 2.0269629 -0.4290863 2.1422621
## X300 -0.5092442 -0.4944765 -0.4911827 2.0269629 -0.4290863 -0.4663054
## X301 -0.5092442 -0.4944765 -0.4911827 -0.4928302 2.3280830 -0.4663054
## X302 1.9616295 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X303 -0.5092442 2.0202142 -0.4911827 -0.4928302 2.3280830 -0.4663054
## X304 -0.5092442 2.0202142 2.0337617 -0.4928302 -0.4290863 2.1422621
## X305 1.9616295 2.0202142 -0.4911827 2.0269629 -0.4290863 2.1422621
## X306 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X307 -0.5092442 -0.4944765 -0.4911827 2.0269629 -0.4290863 -0.4663054
## X308 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X309 -0.5092442 -0.4944765 -0.4911827 2.0269629 -0.4290863 -0.4663054
## X310 -0.5092442 -0.4944765 -0.4911827 2.0269629 -0.4290863 2.1422621
## X311 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X312 1.9616295 -0.4944765 -0.4911827 2.0269629 2.3280830 2.1422621
## X313 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X314 -0.5092442 2.0202142 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X315 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X316 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X317 -0.5092442 2.0202142 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X318 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X319 1.9616295 -0.4944765 -0.4911827 -0.4928302 2.3280830 -0.4663054
## X320 -0.5092442 2.0202142 2.0337617 -0.4928302 2.3280830 -0.4663054
## X321 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X322 1.9616295 -0.4944765 2.0337617 -0.4928302 2.3280830 -0.4663054
## X323 -0.5092442 2.0202142 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X324 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X325 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X326 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X327 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X328 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X329 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X330 -0.5092442 -0.4944765 2.0337617 -0.4928302 2.3280830 -0.4663054
## X331 1.9616295 2.0202142 -0.4911827 -0.4928302 2.3280830 2.1422621
## X332 1.9616295 -0.4944765 2.0337617 -0.4928302 2.3280830 -0.4663054
## X333 1.9616295 -0.4944765 -0.4911827 -0.4928302 2.3280830 -0.4663054
## X334 -0.5092442 -0.4944765 2.0337617 -0.4928302 2.3280830 -0.4663054
## X335 -0.5092442 -0.4944765 -0.4911827 2.0269629 2.3280830 -0.4663054
## X336 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X337 1.9616295 2.0202142 -0.4911827 -0.4928302 2.3280830 2.1422621
## X338 1.9616295 2.0202142 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X339 1.9616295 -0.4944765 -0.4911827 -0.4928302 2.3280830 -0.4663054
## X340 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X341 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X342 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X343 1.9616295 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X344 1.9616295 2.0202142 -0.4911827 -0.4928302 -0.4290863 2.1422621
## X345 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X346 1.9616295 2.0202142 -0.4911827 2.0269629 -0.4290863 2.1422621
## X347 -0.5092442 -0.4944765 -0.4911827 2.0269629 -0.4290863 -0.4663054
## X348 -0.5092442 -0.4944765 -0.4911827 2.0269629 -0.4290863 -0.4663054
## X349 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X350 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X351 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X352 -0.5092442 2.0202142 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X353 1.9616295 2.0202142 -0.4911827 2.0269629 -0.4290863 2.1422621
## X354 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X355 -0.5092442 -0.4944765 -0.4911827 2.0269629 -0.4290863 -0.4663054
## X356 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X357 -0.5092442 2.0202142 -0.4911827 -0.4928302 -0.4290863 2.1422621
## X358 -0.5092442 -0.4944765 -0.4911827 2.0269629 -0.4290863 -0.4663054
## X359 1.9616295 2.0202142 -0.4911827 2.0269629 -0.4290863 2.1422621
## X360 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 2.1422621
## X361 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X362 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X363 -0.5092442 2.0202142 -0.4911827 -0.4928302 2.3280830 2.1422621
## X364 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X365 1.9616295 2.0202142 2.0337617 -0.4928302 2.3280830 -0.4663054
## X366 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X367 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X368 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X369 1.9616295 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X370 -0.5092442 2.0202142 -0.4911827 -0.4928302 -0.4290863 2.1422621
## X371 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X372 1.9616295 -0.4944765 -0.4911827 -0.4928302 2.3280830 -0.4663054
## X373 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X374 1.9616295 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X375 1.9616295 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X376 -0.5092442 -0.4944765 2.0337617 2.0269629 -0.4290863 2.1422621
## X377 -0.5092442 -0.4944765 -0.4911827 2.0269629 -0.4290863 -0.4663054
## X378 -0.5092442 -0.4944765 -0.4911827 2.0269629 -0.4290863 -0.4663054
## X379 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X380 -0.5092442 2.0202142 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X381 -0.5092442 -0.4944765 2.0337617 2.0269629 -0.4290863 -0.4663054
## X382 1.9616295 2.0202142 -0.4911827 2.0269629 2.3280830 2.1422621
## X383 -0.5092442 -0.4944765 2.0337617 2.0269629 -0.4290863 2.1422621
## X384 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 2.1422621
## X385 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 2.1422621
## X386 -0.5092442 2.0202142 -0.4911827 -0.4928302 2.3280830 2.1422621
## X387 1.9616295 -0.4944765 -0.4911827 -0.4928302 2.3280830 2.1422621
## X388 1.9616295 2.0202142 2.0337617 -0.4928302 2.3280830 2.1422621
## X389 -0.5092442 2.0202142 -0.4911827 -0.4928302 -0.4290863 2.1422621
## X390 1.9616295 -0.4944765 -0.4911827 -0.4928302 2.3280830 2.1422621
## X391 -0.5092442 -0.4944765 -0.4911827 2.0269629 -0.4290863 -0.4663054
## X392 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X393 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X394 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X395 -0.5092442 -0.4944765 -0.4911827 -0.4928302 2.3280830 -0.4663054
## X396 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X397 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X398 -0.5092442 -0.4944765 -0.4911827 2.0269629 -0.4290863 -0.4663054
## X399 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X400 1.9616295 2.0202142 2.0337617 -0.4928302 2.3280830 -0.4663054
## X401 -0.5092442 -0.4944765 -0.4911827 2.0269629 -0.4290863 -0.4663054
## X402 -0.5092442 -0.4944765 -0.4911827 2.0269629 -0.4290863 -0.4663054
## X403 -0.5092442 -0.4944765 -0.4911827 2.0269629 -0.4290863 -0.4663054
## X404 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X405 1.9616295 2.0202142 2.0337617 -0.4928302 -0.4290863 2.1422621
## X406 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X407 1.9616295 -0.4944765 -0.4911827 -0.4928302 -0.4290863 2.1422621
## X408 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X409 1.9616295 2.0202142 -0.4911827 2.0269629 -0.4290863 2.1422621
## X410 -0.5092442 2.0202142 2.0337617 -0.4928302 -0.4290863 2.1422621
## X411 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X412 -0.5092442 2.0202142 -0.4911827 -0.4928302 2.3280830 2.1422621
## X413 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X414 -0.5092442 -0.4944765 -0.4911827 2.0269629 -0.4290863 -0.4663054
## X415 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X416 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X417 -0.5092442 2.0202142 -0.4911827 -0.4928302 2.3280830 2.1422621
## X418 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X419 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X420 -0.5092442 -0.4944765 2.0337617 -0.4928302 2.3280830 -0.4663054
## X421 -0.5092442 -0.4944765 -0.4911827 -0.4928302 2.3280830 -0.4663054
## X422 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X423 -0.5092442 -0.4944765 -0.4911827 2.0269629 -0.4290863 2.1422621
## X424 -0.5092442 2.0202142 -0.4911827 -0.4928302 2.3280830 2.1422621
## X425 -0.5092442 -0.4944765 -0.4911827 2.0269629 -0.4290863 2.1422621
## X426 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 2.1422621
## X427 -0.5092442 2.0202142 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X428 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X429 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X430 1.9616295 -0.4944765 2.0337617 -0.4928302 2.3280830 -0.4663054
## X431 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X432 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X433 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X434 1.9616295 -0.4944765 2.0337617 -0.4928302 2.3280830 -0.4663054
## X435 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X436 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X437 -0.5092442 -0.4944765 -0.4911827 -0.4928302 2.3280830 2.1422621
## X438 -0.5092442 -0.4944765 -0.4911827 2.0269629 -0.4290863 2.1422621
## X439 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X440 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X441 1.9616295 -0.4944765 -0.4911827 -0.4928302 2.3280830 2.1422621
## X442 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X443 1.9616295 2.0202142 2.0337617 -0.4928302 -0.4290863 2.1422621
## X444 1.9616295 2.0202142 -0.4911827 2.0269629 -0.4290863 -0.4663054
## X445 1.9616295 2.0202142 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X446 1.9616295 2.0202142 2.0337617 -0.4928302 2.3280830 -0.4663054
## X447 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X448 1.9616295 2.0202142 -0.4911827 -0.4928302 2.3280830 -0.4663054
## X449 1.9616295 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X450 -0.5092442 -0.4944765 2.0337617 -0.4928302 -0.4290863 -0.4663054
## X451 -0.5092442 -0.4944765 -0.4911827 2.0269629 -0.4290863 -0.4663054
## X452 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X453 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 -0.4663054
## X454 -0.5092442 -0.4944765 -0.4911827 -0.4928302 -0.4290863 2.1422621
## FP116 FP117 FP118 FP119 FP120 FP121
## X1 2.0475127 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X2 2.0475127 -0.4663054 2.0475127 -0.4410429 -0.4461321 2.4786909
## X3 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X4 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X5 2.0475127 -0.4663054 -0.4878839 -0.4410429 -0.4461321 2.4786909
## X6 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 2.4786909
## X7 -0.4878839 2.1422621 -0.4878839 -0.4410429 -0.4461321 2.4786909
## X8 -0.4878839 -0.4663054 -0.4878839 -0.4410429 2.2391315 -0.4030145
## X9 -0.4878839 2.1422621 2.0475127 -0.4410429 -0.4461321 -0.4030145
## X10 -0.4878839 -0.4663054 2.0475127 -0.4410429 -0.4461321 -0.4030145
## X11 -0.4878839 2.1422621 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X12 -0.4878839 2.1422621 2.0475127 -0.4410429 -0.4461321 -0.4030145
## X13 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X14 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X15 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X16 -0.4878839 -0.4663054 -0.4878839 2.2649688 -0.4461321 -0.4030145
## X17 2.0475127 -0.4663054 -0.4878839 2.2649688 -0.4461321 2.4786909
## X18 2.0475127 -0.4663054 2.0475127 -0.4410429 2.2391315 2.4786909
## X19 -0.4878839 2.1422621 2.0475127 -0.4410429 -0.4461321 -0.4030145
## X20 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X21 -0.4878839 2.1422621 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X22 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 2.4786909
## X23 -0.4878839 -0.4663054 -0.4878839 -0.4410429 2.2391315 2.4786909
## X24 2.0475127 -0.4663054 -0.4878839 -0.4410429 -0.4461321 2.4786909
## X25 -0.4878839 -0.4663054 2.0475127 -0.4410429 -0.4461321 -0.4030145
## X26 -0.4878839 -0.4663054 2.0475127 -0.4410429 -0.4461321 -0.4030145
## X27 2.0475127 -0.4663054 -0.4878839 2.2649688 -0.4461321 2.4786909
## X28 2.0475127 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X29 -0.4878839 -0.4663054 -0.4878839 2.2649688 -0.4461321 -0.4030145
## X30 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X31 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X32 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X33 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X34 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X35 2.0475127 -0.4663054 -0.4878839 2.2649688 -0.4461321 -0.4030145
## X36 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X37 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X38 -0.4878839 2.1422621 2.0475127 -0.4410429 -0.4461321 -0.4030145
## X39 -0.4878839 -0.4663054 -0.4878839 2.2649688 -0.4461321 -0.4030145
## X40 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X41 -0.4878839 2.1422621 2.0475127 -0.4410429 2.2391315 -0.4030145
## X42 -0.4878839 -0.4663054 -0.4878839 -0.4410429 2.2391315 -0.4030145
## X43 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X44 2.0475127 -0.4663054 -0.4878839 -0.4410429 -0.4461321 2.4786909
## X45 2.0475127 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X46 2.0475127 -0.4663054 -0.4878839 -0.4410429 -0.4461321 2.4786909
## X47 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X48 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X49 -0.4878839 -0.4663054 -0.4878839 2.2649688 -0.4461321 -0.4030145
## X50 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X51 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X52 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X53 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X54 2.0475127 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X55 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X56 -0.4878839 2.1422621 2.0475127 -0.4410429 -0.4461321 -0.4030145
## X57 -0.4878839 -0.4663054 -0.4878839 -0.4410429 2.2391315 -0.4030145
## X58 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X59 -0.4878839 2.1422621 -0.4878839 2.2649688 -0.4461321 -0.4030145
## X60 -0.4878839 2.1422621 2.0475127 2.2649688 -0.4461321 2.4786909
## X61 -0.4878839 -0.4663054 2.0475127 -0.4410429 -0.4461321 -0.4030145
## X62 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X63 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X64 -0.4878839 2.1422621 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X65 -0.4878839 -0.4663054 -0.4878839 -0.4410429 2.2391315 -0.4030145
## X66 -0.4878839 -0.4663054 2.0475127 -0.4410429 2.2391315 -0.4030145
## X67 2.0475127 -0.4663054 -0.4878839 -0.4410429 2.2391315 2.4786909
## X68 -0.4878839 2.1422621 2.0475127 -0.4410429 2.2391315 -0.4030145
## X69 -0.4878839 2.1422621 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X70 2.0475127 -0.4663054 -0.4878839 -0.4410429 -0.4461321 2.4786909
## X71 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X72 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X73 -0.4878839 -0.4663054 -0.4878839 2.2649688 -0.4461321 -0.4030145
## X74 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 2.4786909
## X75 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X76 -0.4878839 2.1422621 2.0475127 -0.4410429 2.2391315 -0.4030145
## X77 -0.4878839 2.1422621 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X78 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X79 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X80 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X81 -0.4878839 2.1422621 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X82 -0.4878839 2.1422621 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X83 2.0475127 -0.4663054 -0.4878839 -0.4410429 -0.4461321 2.4786909
## X84 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X85 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X86 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X87 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X88 -0.4878839 -0.4663054 2.0475127 -0.4410429 -0.4461321 -0.4030145
## X89 -0.4878839 -0.4663054 2.0475127 2.2649688 -0.4461321 -0.4030145
## X90 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X91 -0.4878839 2.1422621 2.0475127 -0.4410429 -0.4461321 -0.4030145
## X92 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X93 -0.4878839 2.1422621 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X94 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X95 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X96 -0.4878839 -0.4663054 2.0475127 2.2649688 -0.4461321 -0.4030145
## X97 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X98 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X99 -0.4878839 2.1422621 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X100 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X101 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X102 2.0475127 -0.4663054 -0.4878839 -0.4410429 -0.4461321 2.4786909
## X103 -0.4878839 -0.4663054 2.0475127 -0.4410429 -0.4461321 -0.4030145
## X104 2.0475127 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X105 -0.4878839 2.1422621 -0.4878839 -0.4410429 -0.4461321 2.4786909
## X106 -0.4878839 2.1422621 2.0475127 -0.4410429 -0.4461321 -0.4030145
## X107 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 2.4786909
## X108 -0.4878839 2.1422621 2.0475127 -0.4410429 2.2391315 -0.4030145
## X109 -0.4878839 -0.4663054 -0.4878839 -0.4410429 2.2391315 -0.4030145
## X110 -0.4878839 2.1422621 2.0475127 2.2649688 -0.4461321 2.4786909
## X111 -0.4878839 -0.4663054 -0.4878839 -0.4410429 2.2391315 -0.4030145
## X112 -0.4878839 2.1422621 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X113 -0.4878839 -0.4663054 2.0475127 -0.4410429 -0.4461321 -0.4030145
## X114 -0.4878839 2.1422621 -0.4878839 2.2649688 -0.4461321 2.4786909
## X115 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X116 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X117 -0.4878839 -0.4663054 2.0475127 -0.4410429 2.2391315 -0.4030145
## X118 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X119 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X120 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X121 2.0475127 2.1422621 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X122 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X123 -0.4878839 2.1422621 -0.4878839 -0.4410429 2.2391315 2.4786909
## X124 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X125 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X126 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X127 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X128 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X129 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X130 -0.4878839 2.1422621 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X131 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X132 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X133 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X134 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X135 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X136 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X137 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X138 2.0475127 2.1422621 2.0475127 -0.4410429 2.2391315 -0.4030145
## X139 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X140 -0.4878839 2.1422621 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X141 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X142 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X143 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X144 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X145 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X146 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X147 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X148 -0.4878839 2.1422621 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X149 -0.4878839 2.1422621 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X150 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X151 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X152 -0.4878839 2.1422621 -0.4878839 -0.4410429 -0.4461321 2.4786909
## X153 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X154 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X155 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X156 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X157 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X158 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X159 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X160 -0.4878839 -0.4663054 -0.4878839 2.2649688 -0.4461321 -0.4030145
## X161 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X162 -0.4878839 2.1422621 2.0475127 -0.4410429 -0.4461321 -0.4030145
## X163 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X164 -0.4878839 2.1422621 2.0475127 -0.4410429 2.2391315 -0.4030145
## X165 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X166 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X167 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X168 2.0475127 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X169 -0.4878839 -0.4663054 -0.4878839 -0.4410429 2.2391315 -0.4030145
## X170 2.0475127 2.1422621 -0.4878839 2.2649688 2.2391315 2.4786909
## X171 -0.4878839 2.1422621 2.0475127 -0.4410429 2.2391315 -0.4030145
## X172 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X173 2.0475127 -0.4663054 -0.4878839 -0.4410429 -0.4461321 2.4786909
## X174 2.0475127 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X175 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X176 2.0475127 -0.4663054 -0.4878839 -0.4410429 -0.4461321 2.4786909
## X177 -0.4878839 2.1422621 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X178 -0.4878839 -0.4663054 -0.4878839 2.2649688 -0.4461321 -0.4030145
## X179 -0.4878839 2.1422621 2.0475127 -0.4410429 -0.4461321 -0.4030145
## X180 -0.4878839 2.1422621 2.0475127 2.2649688 -0.4461321 -0.4030145
## X181 2.0475127 -0.4663054 -0.4878839 -0.4410429 -0.4461321 2.4786909
## X182 -0.4878839 2.1422621 2.0475127 -0.4410429 2.2391315 -0.4030145
## X183 -0.4878839 2.1422621 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X184 2.0475127 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X185 -0.4878839 -0.4663054 -0.4878839 2.2649688 -0.4461321 -0.4030145
## X186 2.0475127 -0.4663054 2.0475127 -0.4410429 -0.4461321 2.4786909
## X187 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X188 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 2.4786909
## X189 2.0475127 -0.4663054 -0.4878839 -0.4410429 -0.4461321 2.4786909
## X190 -0.4878839 -0.4663054 -0.4878839 2.2649688 -0.4461321 -0.4030145
## X191 -0.4878839 2.1422621 2.0475127 -0.4410429 2.2391315 -0.4030145
## X192 2.0475127 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X193 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X194 -0.4878839 2.1422621 2.0475127 -0.4410429 -0.4461321 -0.4030145
## X195 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X196 -0.4878839 2.1422621 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X197 2.0475127 -0.4663054 -0.4878839 2.2649688 -0.4461321 -0.4030145
## X198 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 2.4786909
## X199 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X200 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X201 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X202 -0.4878839 2.1422621 -0.4878839 2.2649688 -0.4461321 -0.4030145
## X203 -0.4878839 -0.4663054 -0.4878839 2.2649688 2.2391315 -0.4030145
## X204 2.0475127 -0.4663054 -0.4878839 2.2649688 2.2391315 -0.4030145
## X205 -0.4878839 2.1422621 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X206 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X207 -0.4878839 -0.4663054 -0.4878839 -0.4410429 2.2391315 -0.4030145
## X208 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X209 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X210 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X211 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X212 2.0475127 2.1422621 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X213 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X214 -0.4878839 -0.4663054 -0.4878839 2.2649688 2.2391315 -0.4030145
## X215 -0.4878839 2.1422621 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X216 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X217 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X218 -0.4878839 -0.4663054 -0.4878839 2.2649688 -0.4461321 -0.4030145
## X219 -0.4878839 -0.4663054 2.0475127 -0.4410429 -0.4461321 -0.4030145
## X220 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X221 -0.4878839 -0.4663054 2.0475127 -0.4410429 2.2391315 -0.4030145
## X222 -0.4878839 2.1422621 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X223 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X224 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X225 -0.4878839 2.1422621 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X226 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X227 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X228 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X229 -0.4878839 2.1422621 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X230 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X231 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X232 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X233 -0.4878839 2.1422621 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X234 -0.4878839 2.1422621 2.0475127 -0.4410429 -0.4461321 -0.4030145
## X235 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X236 2.0475127 -0.4663054 -0.4878839 2.2649688 2.2391315 -0.4030145
## X237 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X238 -0.4878839 2.1422621 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X239 -0.4878839 -0.4663054 2.0475127 2.2649688 2.2391315 -0.4030145
## X240 -0.4878839 -0.4663054 -0.4878839 2.2649688 -0.4461321 2.4786909
## X241 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X242 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X243 2.0475127 -0.4663054 -0.4878839 2.2649688 -0.4461321 -0.4030145
## X244 2.0475127 -0.4663054 -0.4878839 2.2649688 -0.4461321 -0.4030145
## X245 -0.4878839 -0.4663054 -0.4878839 2.2649688 -0.4461321 -0.4030145
## X246 2.0475127 -0.4663054 -0.4878839 -0.4410429 2.2391315 -0.4030145
## X247 2.0475127 -0.4663054 -0.4878839 2.2649688 -0.4461321 -0.4030145
## X248 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X249 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X250 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X251 -0.4878839 2.1422621 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X252 -0.4878839 2.1422621 2.0475127 -0.4410429 -0.4461321 2.4786909
## X253 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X254 2.0475127 -0.4663054 -0.4878839 2.2649688 -0.4461321 -0.4030145
## X255 -0.4878839 2.1422621 2.0475127 -0.4410429 -0.4461321 2.4786909
## X256 -0.4878839 -0.4663054 -0.4878839 -0.4410429 2.2391315 -0.4030145
## X257 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X258 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X259 -0.4878839 2.1422621 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X260 -0.4878839 -0.4663054 2.0475127 -0.4410429 -0.4461321 -0.4030145
## X261 2.0475127 -0.4663054 -0.4878839 -0.4410429 -0.4461321 2.4786909
## X262 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X263 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X264 2.0475127 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X265 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X266 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X267 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X268 -0.4878839 -0.4663054 -0.4878839 -0.4410429 2.2391315 -0.4030145
## X269 -0.4878839 -0.4663054 -0.4878839 2.2649688 2.2391315 2.4786909
## X270 -0.4878839 -0.4663054 -0.4878839 2.2649688 2.2391315 -0.4030145
## X271 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X272 -0.4878839 -0.4663054 -0.4878839 -0.4410429 2.2391315 2.4786909
## X273 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X274 2.0475127 -0.4663054 -0.4878839 -0.4410429 -0.4461321 2.4786909
## X275 -0.4878839 -0.4663054 2.0475127 -0.4410429 -0.4461321 -0.4030145
## X276 2.0475127 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X277 2.0475127 -0.4663054 -0.4878839 2.2649688 -0.4461321 2.4786909
## X278 2.0475127 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X279 2.0475127 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X280 -0.4878839 -0.4663054 -0.4878839 2.2649688 -0.4461321 -0.4030145
## X281 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X282 -0.4878839 2.1422621 -0.4878839 -0.4410429 -0.4461321 2.4786909
## X283 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X284 2.0475127 2.1422621 -0.4878839 -0.4410429 -0.4461321 2.4786909
## X285 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X286 2.0475127 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X287 2.0475127 -0.4663054 -0.4878839 2.2649688 -0.4461321 -0.4030145
## X288 -0.4878839 -0.4663054 2.0475127 2.2649688 -0.4461321 -0.4030145
## X289 -0.4878839 -0.4663054 -0.4878839 2.2649688 -0.4461321 2.4786909
## X290 2.0475127 -0.4663054 -0.4878839 -0.4410429 -0.4461321 2.4786909
## X291 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X292 -0.4878839 2.1422621 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X293 -0.4878839 -0.4663054 -0.4878839 2.2649688 -0.4461321 -0.4030145
## X294 -0.4878839 -0.4663054 -0.4878839 2.2649688 -0.4461321 -0.4030145
## X295 -0.4878839 -0.4663054 -0.4878839 2.2649688 -0.4461321 2.4786909
## X296 2.0475127 -0.4663054 -0.4878839 2.2649688 -0.4461321 -0.4030145
## X297 -0.4878839 -0.4663054 -0.4878839 -0.4410429 2.2391315 -0.4030145
## X298 -0.4878839 -0.4663054 2.0475127 -0.4410429 -0.4461321 -0.4030145
## X299 2.0475127 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X300 -0.4878839 -0.4663054 2.0475127 -0.4410429 2.2391315 -0.4030145
## X301 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 2.4786909
## X302 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X303 2.0475127 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X304 2.0475127 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X305 -0.4878839 -0.4663054 2.0475127 -0.4410429 -0.4461321 -0.4030145
## X306 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X307 2.0475127 -0.4663054 -0.4878839 -0.4410429 -0.4461321 2.4786909
## X308 2.0475127 -0.4663054 -0.4878839 2.2649688 -0.4461321 -0.4030145
## X309 2.0475127 -0.4663054 -0.4878839 -0.4410429 -0.4461321 2.4786909
## X310 -0.4878839 2.1422621 2.0475127 -0.4410429 2.2391315 -0.4030145
## X311 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X312 -0.4878839 -0.4663054 -0.4878839 2.2649688 -0.4461321 2.4786909
## X313 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 2.4786909
## X314 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X315 -0.4878839 -0.4663054 -0.4878839 2.2649688 -0.4461321 -0.4030145
## X316 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X317 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X318 2.0475127 2.1422621 -0.4878839 2.2649688 2.2391315 2.4786909
## X319 2.0475127 -0.4663054 -0.4878839 -0.4410429 2.2391315 -0.4030145
## X320 2.0475127 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X321 -0.4878839 -0.4663054 -0.4878839 2.2649688 -0.4461321 -0.4030145
## X322 -0.4878839 -0.4663054 2.0475127 2.2649688 -0.4461321 2.4786909
## X323 -0.4878839 2.1422621 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X324 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X325 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X326 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X327 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X328 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X329 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X330 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X331 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X332 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X333 -0.4878839 -0.4663054 -0.4878839 -0.4410429 2.2391315 2.4786909
## X334 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X335 -0.4878839 -0.4663054 2.0475127 -0.4410429 2.2391315 -0.4030145
## X336 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X337 2.0475127 -0.4663054 -0.4878839 2.2649688 -0.4461321 -0.4030145
## X338 -0.4878839 -0.4663054 -0.4878839 2.2649688 -0.4461321 -0.4030145
## X339 -0.4878839 2.1422621 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X340 -0.4878839 -0.4663054 -0.4878839 2.2649688 -0.4461321 -0.4030145
## X341 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X342 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X343 2.0475127 2.1422621 -0.4878839 -0.4410429 2.2391315 2.4786909
## X344 -0.4878839 2.1422621 -0.4878839 -0.4410429 2.2391315 2.4786909
## X345 2.0475127 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X346 2.0475127 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X347 -0.4878839 2.1422621 2.0475127 -0.4410429 -0.4461321 -0.4030145
## X348 2.0475127 -0.4663054 -0.4878839 2.2649688 -0.4461321 2.4786909
## X349 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X350 -0.4878839 2.1422621 2.0475127 -0.4410429 -0.4461321 2.4786909
## X351 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X352 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 2.4786909
## X353 -0.4878839 -0.4663054 2.0475127 -0.4410429 -0.4461321 -0.4030145
## X354 -0.4878839 -0.4663054 -0.4878839 2.2649688 2.2391315 2.4786909
## X355 -0.4878839 -0.4663054 2.0475127 -0.4410429 -0.4461321 -0.4030145
## X356 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X357 -0.4878839 2.1422621 -0.4878839 2.2649688 2.2391315 -0.4030145
## X358 -0.4878839 -0.4663054 2.0475127 -0.4410429 -0.4461321 -0.4030145
## X359 2.0475127 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X360 -0.4878839 2.1422621 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X361 -0.4878839 -0.4663054 -0.4878839 -0.4410429 2.2391315 -0.4030145
## X362 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X363 2.0475127 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X364 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X365 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 2.4786909
## X366 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X367 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X368 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X369 -0.4878839 -0.4663054 -0.4878839 2.2649688 -0.4461321 2.4786909
## X370 2.0475127 -0.4663054 2.0475127 -0.4410429 -0.4461321 -0.4030145
## X371 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X372 -0.4878839 -0.4663054 -0.4878839 2.2649688 -0.4461321 -0.4030145
## X373 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X374 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X375 -0.4878839 2.1422621 -0.4878839 2.2649688 -0.4461321 2.4786909
## X376 -0.4878839 2.1422621 2.0475127 -0.4410429 2.2391315 -0.4030145
## X377 -0.4878839 2.1422621 2.0475127 -0.4410429 -0.4461321 -0.4030145
## X378 -0.4878839 -0.4663054 2.0475127 -0.4410429 -0.4461321 2.4786909
## X379 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X380 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X381 -0.4878839 -0.4663054 2.0475127 2.2649688 2.2391315 -0.4030145
## X382 -0.4878839 -0.4663054 2.0475127 -0.4410429 -0.4461321 2.4786909
## X383 -0.4878839 2.1422621 2.0475127 -0.4410429 2.2391315 -0.4030145
## X384 -0.4878839 2.1422621 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X385 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X386 2.0475127 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X387 -0.4878839 2.1422621 -0.4878839 2.2649688 -0.4461321 2.4786909
## X388 -0.4878839 -0.4663054 -0.4878839 2.2649688 -0.4461321 -0.4030145
## X389 -0.4878839 2.1422621 -0.4878839 2.2649688 2.2391315 -0.4030145
## X390 -0.4878839 2.1422621 -0.4878839 -0.4410429 -0.4461321 2.4786909
## X391 -0.4878839 2.1422621 2.0475127 -0.4410429 -0.4461321 -0.4030145
## X392 -0.4878839 -0.4663054 -0.4878839 2.2649688 2.2391315 2.4786909
## X393 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X394 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X395 -0.4878839 -0.4663054 -0.4878839 -0.4410429 2.2391315 -0.4030145
## X396 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X397 -0.4878839 -0.4663054 2.0475127 -0.4410429 -0.4461321 -0.4030145
## X398 -0.4878839 -0.4663054 2.0475127 -0.4410429 -0.4461321 -0.4030145
## X399 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X400 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 2.4786909
## X401 -0.4878839 2.1422621 2.0475127 -0.4410429 -0.4461321 -0.4030145
## X402 -0.4878839 -0.4663054 2.0475127 2.2649688 -0.4461321 -0.4030145
## X403 -0.4878839 -0.4663054 -0.4878839 2.2649688 -0.4461321 -0.4030145
## X404 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X405 -0.4878839 2.1422621 -0.4878839 -0.4410429 -0.4461321 2.4786909
## X406 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X407 -0.4878839 2.1422621 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X408 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X409 2.0475127 2.1422621 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X410 2.0475127 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X411 2.0475127 2.1422621 2.0475127 2.2649688 2.2391315 -0.4030145
## X412 2.0475127 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X413 2.0475127 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X414 -0.4878839 -0.4663054 2.0475127 -0.4410429 -0.4461321 -0.4030145
## X415 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X416 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X417 2.0475127 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X418 -0.4878839 -0.4663054 -0.4878839 2.2649688 -0.4461321 -0.4030145
## X419 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X420 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 2.4786909
## X421 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X422 -0.4878839 -0.4663054 2.0475127 2.2649688 2.2391315 -0.4030145
## X423 -0.4878839 2.1422621 2.0475127 -0.4410429 2.2391315 -0.4030145
## X424 2.0475127 -0.4663054 2.0475127 -0.4410429 -0.4461321 2.4786909
## X425 -0.4878839 2.1422621 2.0475127 -0.4410429 2.2391315 -0.4030145
## X426 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X427 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X428 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X429 -0.4878839 2.1422621 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X430 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X431 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X432 -0.4878839 -0.4663054 2.0475127 -0.4410429 -0.4461321 -0.4030145
## X433 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X434 2.0475127 -0.4663054 -0.4878839 -0.4410429 -0.4461321 2.4786909
## X435 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X436 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X437 2.0475127 -0.4663054 2.0475127 -0.4410429 -0.4461321 -0.4030145
## X438 -0.4878839 2.1422621 2.0475127 -0.4410429 2.2391315 -0.4030145
## X439 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X440 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X441 -0.4878839 2.1422621 -0.4878839 -0.4410429 -0.4461321 2.4786909
## X442 2.0475127 2.1422621 -0.4878839 2.2649688 -0.4461321 2.4786909
## X443 2.0475127 -0.4663054 2.0475127 -0.4410429 -0.4461321 -0.4030145
## X444 -0.4878839 -0.4663054 -0.4878839 -0.4410429 2.2391315 -0.4030145
## X445 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 2.4786909
## X446 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X447 -0.4878839 -0.4663054 -0.4878839 -0.4410429 2.2391315 -0.4030145
## X448 -0.4878839 -0.4663054 -0.4878839 -0.4410429 -0.4461321 2.4786909
## X449 2.0475127 2.1422621 -0.4878839 2.2649688 2.2391315 2.4786909
## X450 -0.4878839 2.1422621 -0.4878839 -0.4410429 -0.4461321 -0.4030145
## X451 -0.4878839 -0.4663054 2.0475127 -0.4410429 -0.4461321 -0.4030145
## X452 2.0475127 -0.4663054 -0.4878839 2.2649688 -0.4461321 -0.4030145
## X453 2.0475127 2.1422621 -0.4878839 2.2649688 -0.4461321 -0.4030145
## X454 2.0475127 -0.4663054 -0.4878839 2.2649688 2.2391315 -0.4030145
## FP122 FP123 FP124 FP125 FP126 FP127
## X1 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X2 -0.4427415 -0.4478242 -0.439342 -0.4290863 2.3955459 -0.4030145
## X3 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X4 -0.4427415 2.2306713 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X5 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 2.4786909
## X6 -0.4427415 2.2306713 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X7 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 2.4786909
## X8 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X9 2.2562790 2.2306713 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X10 2.2562790 -0.4478242 -0.439342 -0.4290863 -0.4170024 2.4786909
## X11 -0.4427415 -0.4478242 -0.439342 2.3280830 -0.4170024 -0.4030145
## X12 -0.4427415 2.2306713 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X13 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X14 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X15 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X16 -0.4427415 -0.4478242 2.273738 -0.4290863 -0.4170024 -0.4030145
## X17 -0.4427415 -0.4478242 2.273738 -0.4290863 2.3955459 2.4786909
## X18 2.2562790 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X19 2.2562790 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X20 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X21 -0.4427415 -0.4478242 2.273738 -0.4290863 -0.4170024 -0.4030145
## X22 -0.4427415 -0.4478242 2.273738 -0.4290863 -0.4170024 -0.4030145
## X23 -0.4427415 -0.4478242 -0.439342 2.3280830 -0.4170024 -0.4030145
## X24 2.2562790 -0.4478242 -0.439342 -0.4290863 2.3955459 2.4786909
## X25 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X26 2.2562790 -0.4478242 -0.439342 2.3280830 2.3955459 2.4786909
## X27 -0.4427415 -0.4478242 2.273738 -0.4290863 2.3955459 -0.4030145
## X28 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X29 -0.4427415 -0.4478242 2.273738 -0.4290863 -0.4170024 -0.4030145
## X30 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X31 -0.4427415 2.2306713 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X32 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X33 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X34 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X35 -0.4427415 2.2306713 2.273738 2.3280830 -0.4170024 -0.4030145
## X36 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X37 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X38 2.2562790 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X39 -0.4427415 2.2306713 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X40 -0.4427415 -0.4478242 -0.439342 -0.4290863 2.3955459 -0.4030145
## X41 2.2562790 2.2306713 -0.439342 2.3280830 -0.4170024 -0.4030145
## X42 -0.4427415 2.2306713 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X43 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X44 -0.4427415 -0.4478242 2.273738 -0.4290863 -0.4170024 -0.4030145
## X45 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 2.4786909
## X46 -0.4427415 2.2306713 2.273738 -0.4290863 2.3955459 -0.4030145
## X47 -0.4427415 2.2306713 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X48 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X49 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X50 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X51 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X52 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X53 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X54 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 2.4786909
## X55 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X56 2.2562790 2.2306713 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X57 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X58 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X59 -0.4427415 2.2306713 2.273738 2.3280830 -0.4170024 -0.4030145
## X60 -0.4427415 -0.4478242 2.273738 -0.4290863 -0.4170024 -0.4030145
## X61 2.2562790 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X62 -0.4427415 -0.4478242 2.273738 -0.4290863 -0.4170024 -0.4030145
## X63 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X64 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X65 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X66 2.2562790 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X67 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X68 2.2562790 2.2306713 -0.439342 2.3280830 -0.4170024 -0.4030145
## X69 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X70 -0.4427415 -0.4478242 2.273738 -0.4290863 -0.4170024 -0.4030145
## X71 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X72 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X73 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X74 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X75 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X76 2.2562790 2.2306713 -0.439342 2.3280830 -0.4170024 -0.4030145
## X77 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X78 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X79 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X80 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X81 -0.4427415 2.2306713 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X82 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X83 -0.4427415 -0.4478242 2.273738 -0.4290863 -0.4170024 -0.4030145
## X84 -0.4427415 2.2306713 -0.439342 -0.4290863 2.3955459 -0.4030145
## X85 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X86 -0.4427415 2.2306713 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X87 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X88 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X89 2.2562790 -0.4478242 2.273738 2.3280830 2.3955459 2.4786909
## X90 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X91 2.2562790 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X92 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X93 -0.4427415 2.2306713 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X94 -0.4427415 2.2306713 2.273738 -0.4290863 -0.4170024 -0.4030145
## X95 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X96 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X97 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X98 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X99 -0.4427415 2.2306713 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X100 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X101 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X102 -0.4427415 -0.4478242 2.273738 -0.4290863 -0.4170024 -0.4030145
## X103 2.2562790 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X104 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X105 -0.4427415 2.2306713 -0.439342 2.3280830 -0.4170024 -0.4030145
## X106 2.2562790 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X107 -0.4427415 -0.4478242 2.273738 -0.4290863 -0.4170024 2.4786909
## X108 2.2562790 2.2306713 -0.439342 2.3280830 -0.4170024 -0.4030145
## X109 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X110 -0.4427415 2.2306713 2.273738 -0.4290863 -0.4170024 -0.4030145
## X111 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X112 -0.4427415 2.2306713 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X113 2.2562790 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X114 -0.4427415 -0.4478242 -0.439342 -0.4290863 2.3955459 -0.4030145
## X115 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X116 -0.4427415 -0.4478242 -0.439342 2.3280830 2.3955459 2.4786909
## X117 2.2562790 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X118 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X119 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X120 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X121 -0.4427415 2.2306713 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X122 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X123 -0.4427415 -0.4478242 -0.439342 2.3280830 2.3955459 -0.4030145
## X124 -0.4427415 2.2306713 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X125 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X126 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X127 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X128 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X129 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X130 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X131 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X132 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X133 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X134 -0.4427415 2.2306713 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X135 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X136 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X137 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X138 -0.4427415 2.2306713 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X139 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X140 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X141 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X142 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X143 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X144 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X145 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X146 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X147 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X148 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X149 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X150 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X151 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X152 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 2.4786909
## X153 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X154 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X155 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X156 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X157 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X158 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X159 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X160 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X161 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X162 2.2562790 2.2306713 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X163 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X164 2.2562790 2.2306713 -0.439342 2.3280830 -0.4170024 -0.4030145
## X165 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X166 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X167 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X168 -0.4427415 -0.4478242 2.273738 -0.4290863 -0.4170024 2.4786909
## X169 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X170 -0.4427415 -0.4478242 2.273738 2.3280830 -0.4170024 -0.4030145
## X171 2.2562790 2.2306713 -0.439342 2.3280830 -0.4170024 -0.4030145
## X172 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X173 -0.4427415 2.2306713 2.273738 2.3280830 2.3955459 2.4786909
## X174 -0.4427415 -0.4478242 -0.439342 -0.4290863 2.3955459 2.4786909
## X175 -0.4427415 2.2306713 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X176 -0.4427415 -0.4478242 2.273738 -0.4290863 -0.4170024 -0.4030145
## X177 -0.4427415 2.2306713 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X178 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X179 2.2562790 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X180 2.2562790 2.2306713 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X181 -0.4427415 -0.4478242 2.273738 -0.4290863 -0.4170024 -0.4030145
## X182 2.2562790 2.2306713 -0.439342 2.3280830 -0.4170024 -0.4030145
## X183 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X184 -0.4427415 -0.4478242 -0.439342 -0.4290863 2.3955459 2.4786909
## X185 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X186 -0.4427415 -0.4478242 -0.439342 -0.4290863 2.3955459 -0.4030145
## X187 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X188 -0.4427415 2.2306713 2.273738 -0.4290863 -0.4170024 -0.4030145
## X189 -0.4427415 -0.4478242 2.273738 -0.4290863 -0.4170024 -0.4030145
## X190 -0.4427415 -0.4478242 2.273738 -0.4290863 -0.4170024 -0.4030145
## X191 2.2562790 2.2306713 -0.439342 2.3280830 -0.4170024 -0.4030145
## X192 -0.4427415 -0.4478242 -0.439342 -0.4290863 2.3955459 -0.4030145
## X193 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X194 -0.4427415 2.2306713 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X195 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X196 -0.4427415 2.2306713 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X197 -0.4427415 -0.4478242 2.273738 -0.4290863 2.3955459 -0.4030145
## X198 -0.4427415 2.2306713 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X199 -0.4427415 2.2306713 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X200 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X201 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X202 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X203 -0.4427415 2.2306713 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X204 -0.4427415 2.2306713 -0.439342 2.3280830 -0.4170024 -0.4030145
## X205 -0.4427415 2.2306713 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X206 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X207 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X208 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X209 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X210 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X211 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X212 -0.4427415 2.2306713 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X213 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X214 -0.4427415 2.2306713 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X215 -0.4427415 2.2306713 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X216 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X217 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X218 -0.4427415 -0.4478242 -0.439342 2.3280830 -0.4170024 -0.4030145
## X219 2.2562790 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X220 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X221 2.2562790 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X222 -0.4427415 2.2306713 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X223 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X224 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X225 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X226 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X227 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X228 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X229 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X230 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X231 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X232 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X233 -0.4427415 -0.4478242 -0.439342 2.3280830 2.3955459 2.4786909
## X234 2.2562790 2.2306713 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X235 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X236 -0.4427415 -0.4478242 -0.439342 -0.4290863 2.3955459 -0.4030145
## X237 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X238 -0.4427415 2.2306713 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X239 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X240 2.2562790 2.2306713 2.273738 2.3280830 2.3955459 -0.4030145
## X241 -0.4427415 2.2306713 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X242 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X243 -0.4427415 -0.4478242 -0.439342 -0.4290863 2.3955459 -0.4030145
## X244 -0.4427415 -0.4478242 2.273738 -0.4290863 2.3955459 2.4786909
## X245 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X246 2.2562790 2.2306713 -0.439342 2.3280830 2.3955459 -0.4030145
## X247 -0.4427415 -0.4478242 2.273738 -0.4290863 2.3955459 2.4786909
## X248 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X249 -0.4427415 2.2306713 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X250 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X251 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X252 2.2562790 -0.4478242 -0.439342 -0.4290863 -0.4170024 2.4786909
## X253 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X254 -0.4427415 -0.4478242 2.273738 -0.4290863 2.3955459 2.4786909
## X255 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X256 2.2562790 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X257 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X258 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X259 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X260 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X261 -0.4427415 -0.4478242 -0.439342 2.3280830 2.3955459 2.4786909
## X262 -0.4427415 2.2306713 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X263 -0.4427415 2.2306713 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X264 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X265 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X266 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X267 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X268 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X269 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X270 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X271 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X272 -0.4427415 -0.4478242 2.273738 -0.4290863 -0.4170024 -0.4030145
## X273 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X274 2.2562790 2.2306713 2.273738 2.3280830 2.3955459 2.4786909
## X275 2.2562790 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X276 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X277 2.2562790 2.2306713 2.273738 -0.4290863 -0.4170024 -0.4030145
## X278 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 2.4786909
## X279 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X280 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X281 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X282 -0.4427415 -0.4478242 2.273738 2.3280830 2.3955459 2.4786909
## X283 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X284 2.2562790 -0.4478242 2.273738 -0.4290863 2.3955459 -0.4030145
## X285 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X286 -0.4427415 -0.4478242 -0.439342 -0.4290863 2.3955459 2.4786909
## X287 -0.4427415 -0.4478242 2.273738 2.3280830 -0.4170024 2.4786909
## X288 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X289 -0.4427415 2.2306713 2.273738 2.3280830 2.3955459 -0.4030145
## X290 -0.4427415 2.2306713 -0.439342 -0.4290863 2.3955459 -0.4030145
## X291 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X292 -0.4427415 -0.4478242 -0.439342 2.3280830 2.3955459 -0.4030145
## X293 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X294 -0.4427415 2.2306713 2.273738 -0.4290863 -0.4170024 -0.4030145
## X295 -0.4427415 -0.4478242 2.273738 -0.4290863 2.3955459 2.4786909
## X296 -0.4427415 -0.4478242 2.273738 2.3280830 2.3955459 2.4786909
## X297 -0.4427415 2.2306713 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X298 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X299 2.2562790 2.2306713 -0.439342 2.3280830 2.3955459 2.4786909
## X300 2.2562790 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X301 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X302 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X303 -0.4427415 -0.4478242 2.273738 -0.4290863 -0.4170024 2.4786909
## X304 -0.4427415 -0.4478242 -0.439342 -0.4290863 2.3955459 2.4786909
## X305 2.2562790 -0.4478242 -0.439342 2.3280830 2.3955459 2.4786909
## X306 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X307 2.2562790 2.2306713 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X308 -0.4427415 2.2306713 -0.439342 2.3280830 -0.4170024 -0.4030145
## X309 2.2562790 2.2306713 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X310 2.2562790 2.2306713 -0.439342 2.3280830 -0.4170024 -0.4030145
## X311 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X312 2.2562790 2.2306713 2.273738 2.3280830 2.3955459 -0.4030145
## X313 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X314 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X315 -0.4427415 2.2306713 2.273738 -0.4290863 -0.4170024 -0.4030145
## X316 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X317 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X318 -0.4427415 -0.4478242 2.273738 2.3280830 2.3955459 -0.4030145
## X319 2.2562790 2.2306713 -0.439342 2.3280830 2.3955459 -0.4030145
## X320 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 2.4786909
## X321 -0.4427415 -0.4478242 -0.439342 2.3280830 -0.4170024 -0.4030145
## X322 2.2562790 -0.4478242 2.273738 2.3280830 2.3955459 -0.4030145
## X323 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X324 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X325 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X326 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X327 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X328 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X329 -0.4427415 2.2306713 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X330 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X331 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X332 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X333 -0.4427415 -0.4478242 2.273738 2.3280830 -0.4170024 -0.4030145
## X334 -0.4427415 -0.4478242 2.273738 -0.4290863 -0.4170024 -0.4030145
## X335 2.2562790 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X336 -0.4427415 2.2306713 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X337 -0.4427415 -0.4478242 2.273738 -0.4290863 2.3955459 2.4786909
## X338 -0.4427415 -0.4478242 2.273738 -0.4290863 -0.4170024 -0.4030145
## X339 -0.4427415 -0.4478242 -0.439342 2.3280830 2.3955459 -0.4030145
## X340 -0.4427415 -0.4478242 -0.439342 2.3280830 -0.4170024 -0.4030145
## X341 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X342 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X343 -0.4427415 2.2306713 -0.439342 2.3280830 2.3955459 -0.4030145
## X344 -0.4427415 -0.4478242 -0.439342 2.3280830 -0.4170024 -0.4030145
## X345 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X346 2.2562790 -0.4478242 -0.439342 2.3280830 2.3955459 2.4786909
## X347 2.2562790 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X348 2.2562790 2.2306713 2.273738 -0.4290863 -0.4170024 -0.4030145
## X349 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X350 -0.4427415 -0.4478242 -0.439342 -0.4290863 2.3955459 2.4786909
## X351 -0.4427415 -0.4478242 2.273738 -0.4290863 -0.4170024 -0.4030145
## X352 -0.4427415 2.2306713 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X353 2.2562790 -0.4478242 -0.439342 2.3280830 2.3955459 2.4786909
## X354 -0.4427415 2.2306713 2.273738 -0.4290863 -0.4170024 -0.4030145
## X355 2.2562790 2.2306713 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X356 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X357 -0.4427415 -0.4478242 2.273738 -0.4290863 -0.4170024 -0.4030145
## X358 2.2562790 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X359 2.2562790 2.2306713 -0.439342 2.3280830 2.3955459 2.4786909
## X360 -0.4427415 2.2306713 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X361 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X362 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X363 -0.4427415 -0.4478242 -0.439342 -0.4290863 2.3955459 2.4786909
## X364 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X365 -0.4427415 -0.4478242 2.273738 -0.4290863 -0.4170024 2.4786909
## X366 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X367 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X368 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X369 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X370 -0.4427415 -0.4478242 -0.439342 -0.4290863 2.3955459 2.4786909
## X371 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X372 -0.4427415 -0.4478242 -0.439342 2.3280830 2.3955459 -0.4030145
## X373 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X374 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X375 -0.4427415 -0.4478242 -0.439342 -0.4290863 2.3955459 2.4786909
## X376 2.2562790 2.2306713 -0.439342 2.3280830 -0.4170024 -0.4030145
## X377 2.2562790 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X378 -0.4427415 -0.4478242 2.273738 -0.4290863 -0.4170024 -0.4030145
## X379 -0.4427415 2.2306713 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X380 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X381 2.2562790 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X382 2.2562790 -0.4478242 -0.439342 2.3280830 2.3955459 2.4786909
## X383 2.2562790 2.2306713 -0.439342 2.3280830 -0.4170024 -0.4030145
## X384 -0.4427415 2.2306713 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X385 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X386 -0.4427415 -0.4478242 -0.439342 -0.4290863 2.3955459 2.4786909
## X387 -0.4427415 -0.4478242 -0.439342 2.3280830 2.3955459 -0.4030145
## X388 -0.4427415 -0.4478242 -0.439342 2.3280830 2.3955459 -0.4030145
## X389 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X390 -0.4427415 -0.4478242 -0.439342 2.3280830 2.3955459 -0.4030145
## X391 2.2562790 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X392 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X393 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X394 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X395 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X396 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X397 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X398 2.2562790 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X399 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X400 -0.4427415 -0.4478242 2.273738 -0.4290863 -0.4170024 2.4786909
## X401 2.2562790 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X402 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X403 2.2562790 -0.4478242 -0.439342 2.3280830 -0.4170024 -0.4030145
## X404 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X405 -0.4427415 -0.4478242 -0.439342 2.3280830 2.3955459 2.4786909
## X406 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X407 -0.4427415 -0.4478242 -0.439342 2.3280830 -0.4170024 -0.4030145
## X408 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X409 2.2562790 2.2306713 -0.439342 2.3280830 2.3955459 2.4786909
## X410 -0.4427415 -0.4478242 -0.439342 -0.4290863 2.3955459 2.4786909
## X411 2.2562790 2.2306713 -0.439342 2.3280830 -0.4170024 -0.4030145
## X412 -0.4427415 -0.4478242 -0.439342 -0.4290863 2.3955459 2.4786909
## X413 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 2.4786909
## X414 2.2562790 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X415 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X416 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X417 -0.4427415 -0.4478242 -0.439342 -0.4290863 2.3955459 2.4786909
## X418 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X419 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X420 -0.4427415 -0.4478242 2.273738 -0.4290863 -0.4170024 2.4786909
## X421 -0.4427415 -0.4478242 2.273738 -0.4290863 2.3955459 -0.4030145
## X422 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X423 2.2562790 2.2306713 -0.439342 2.3280830 -0.4170024 -0.4030145
## X424 2.2562790 2.2306713 -0.439342 2.3280830 2.3955459 2.4786909
## X425 2.2562790 2.2306713 -0.439342 2.3280830 -0.4170024 -0.4030145
## X426 -0.4427415 2.2306713 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X427 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X428 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X429 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X430 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X431 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X432 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X433 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X434 -0.4427415 2.2306713 -0.439342 -0.4290863 2.3955459 -0.4030145
## X435 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X436 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X437 2.2562790 2.2306713 -0.439342 2.3280830 2.3955459 -0.4030145
## X438 2.2562790 2.2306713 -0.439342 2.3280830 -0.4170024 -0.4030145
## X439 -0.4427415 2.2306713 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X440 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X441 -0.4427415 -0.4478242 -0.439342 2.3280830 2.3955459 -0.4030145
## X442 2.2562790 2.2306713 2.273738 -0.4290863 -0.4170024 -0.4030145
## X443 -0.4427415 -0.4478242 -0.439342 -0.4290863 2.3955459 2.4786909
## X444 2.2562790 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X445 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X446 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X447 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X448 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X449 -0.4427415 2.2306713 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X450 -0.4427415 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X451 2.2562790 -0.4478242 -0.439342 -0.4290863 -0.4170024 -0.4030145
## X452 2.2562790 -0.4478242 -0.439342 2.3280830 -0.4170024 -0.4030145
## X453 -0.4427415 2.2306713 2.273738 2.3280830 -0.4170024 -0.4030145
## X454 -0.4427415 2.2306713 -0.439342 2.3280830 -0.4170024 -0.4030145
## FP128 FP129 FP130 FP131 FP132 FP133
## X1 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X2 -0.4170024 -0.4012514 -0.3426153 2.6301555 -0.3779927 -0.3798059
## X3 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 2.6301555
## X4 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X5 -0.4170024 -0.4012514 -0.3426153 2.6301555 -0.3779927 -0.3798059
## X6 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 2.6301555
## X7 -0.4170024 -0.4012514 2.9156563 2.6301555 -0.3779927 -0.3798059
## X8 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X9 -0.4170024 2.4895825 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X10 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X11 -0.4170024 2.4895825 -0.3426153 -0.3798059 -0.3779927 2.6301555
## X12 -0.4170024 2.4895825 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X13 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X14 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X15 -0.4170024 2.4895825 -0.3426153 -0.3798059 -0.3779927 2.6301555
## X16 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X17 2.3955459 -0.4012514 2.9156563 2.6301555 -0.3779927 2.6301555
## X18 -0.4170024 -0.4012514 -0.3426153 2.6301555 -0.3779927 -0.3798059
## X19 -0.4170024 2.4895825 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X20 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X21 -0.4170024 2.4895825 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X22 -0.4170024 -0.4012514 -0.3426153 2.6301555 -0.3779927 2.6301555
## X23 2.3955459 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X24 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X25 -0.4170024 -0.4012514 2.9156563 -0.3798059 -0.3779927 2.6301555
## X26 -0.4170024 -0.4012514 2.9156563 -0.3798059 -0.3779927 -0.3798059
## X27 -0.4170024 -0.4012514 -0.3426153 2.6301555 -0.3779927 2.6301555
## X28 -0.4170024 -0.4012514 -0.3426153 2.6301555 2.6427722 -0.3798059
## X29 -0.4170024 2.4895825 -0.3426153 -0.3798059 -0.3779927 2.6301555
## X30 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X31 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X32 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 2.6301555
## X33 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X34 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X35 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 2.6301555
## X36 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X37 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X38 -0.4170024 2.4895825 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X39 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X40 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X41 -0.4170024 2.4895825 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X42 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X43 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X44 -0.4170024 -0.4012514 -0.3426153 2.6301555 -0.3779927 -0.3798059
## X45 -0.4170024 -0.4012514 -0.3426153 2.6301555 -0.3779927 2.6301555
## X46 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X47 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X48 -0.4170024 -0.4012514 2.9156563 -0.3798059 -0.3779927 -0.3798059
## X49 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X50 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X51 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X52 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X53 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X54 -0.4170024 -0.4012514 -0.3426153 2.6301555 -0.3779927 -0.3798059
## X55 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X56 -0.4170024 2.4895825 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X57 -0.4170024 -0.4012514 -0.3426153 -0.3798059 2.6427722 -0.3798059
## X58 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X59 -0.4170024 2.4895825 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X60 2.3955459 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X61 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X62 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X63 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X64 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X65 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 2.6301555
## X66 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X67 -0.4170024 -0.4012514 -0.3426153 2.6301555 -0.3779927 -0.3798059
## X68 -0.4170024 2.4895825 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X69 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X70 -0.4170024 -0.4012514 -0.3426153 2.6301555 -0.3779927 -0.3798059
## X71 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X72 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X73 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X74 -0.4170024 -0.4012514 2.9156563 -0.3798059 -0.3779927 -0.3798059
## X75 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X76 -0.4170024 2.4895825 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X77 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X78 -0.4170024 -0.4012514 -0.3426153 -0.3798059 2.6427722 -0.3798059
## X79 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X80 -0.4170024 2.4895825 -0.3426153 -0.3798059 -0.3779927 2.6301555
## X81 -0.4170024 2.4895825 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X82 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X83 -0.4170024 -0.4012514 -0.3426153 2.6301555 -0.3779927 2.6301555
## X84 2.3955459 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X85 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X86 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X87 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X88 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X89 2.3955459 -0.4012514 2.9156563 -0.3798059 -0.3779927 -0.3798059
## X90 -0.4170024 -0.4012514 2.9156563 -0.3798059 -0.3779927 -0.3798059
## X91 2.3955459 2.4895825 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X92 -0.4170024 -0.4012514 -0.3426153 -0.3798059 2.6427722 -0.3798059
## X93 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X94 -0.4170024 2.4895825 -0.3426153 -0.3798059 -0.3779927 2.6301555
## X95 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X96 -0.4170024 -0.4012514 -0.3426153 -0.3798059 2.6427722 -0.3798059
## X97 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X98 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X99 -0.4170024 2.4895825 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X100 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X101 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X102 -0.4170024 -0.4012514 -0.3426153 2.6301555 -0.3779927 2.6301555
## X103 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X104 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X105 2.3955459 -0.4012514 2.9156563 -0.3798059 -0.3779927 -0.3798059
## X106 -0.4170024 2.4895825 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X107 -0.4170024 -0.4012514 -0.3426153 2.6301555 -0.3779927 -0.3798059
## X108 -0.4170024 2.4895825 -0.3426153 -0.3798059 -0.3779927 2.6301555
## X109 -0.4170024 -0.4012514 2.9156563 -0.3798059 -0.3779927 -0.3798059
## X110 2.3955459 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X111 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X112 -0.4170024 2.4895825 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X113 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X114 2.3955459 2.4895825 2.9156563 2.6301555 -0.3779927 2.6301555
## X115 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X116 2.3955459 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X117 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X118 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X119 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X120 -0.4170024 -0.4012514 -0.3426153 -0.3798059 2.6427722 -0.3798059
## X121 -0.4170024 2.4895825 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X122 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X123 2.3955459 -0.4012514 2.9156563 -0.3798059 -0.3779927 -0.3798059
## X124 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X125 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X126 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X127 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X128 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X129 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X130 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X131 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X132 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X133 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X134 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X135 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X136 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X137 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X138 -0.4170024 2.4895825 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X139 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X140 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X141 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X142 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X143 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X144 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X145 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X146 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X147 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X148 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X149 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X150 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X151 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X152 -0.4170024 2.4895825 2.9156563 2.6301555 -0.3779927 -0.3798059
## X153 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X154 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X155 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X156 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X157 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X158 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X159 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X160 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X161 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X162 -0.4170024 2.4895825 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X163 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X164 -0.4170024 2.4895825 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X165 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X166 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X167 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X168 -0.4170024 -0.4012514 -0.3426153 2.6301555 -0.3779927 2.6301555
## X169 -0.4170024 -0.4012514 2.9156563 -0.3798059 -0.3779927 -0.3798059
## X170 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X171 -0.4170024 2.4895825 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X172 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X173 2.3955459 -0.4012514 2.9156563 -0.3798059 -0.3779927 -0.3798059
## X174 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X175 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X176 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 2.6301555
## X177 -0.4170024 2.4895825 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X178 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X179 -0.4170024 2.4895825 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X180 -0.4170024 2.4895825 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X181 -0.4170024 -0.4012514 -0.3426153 2.6301555 -0.3779927 2.6301555
## X182 -0.4170024 2.4895825 -0.3426153 -0.3798059 -0.3779927 2.6301555
## X183 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X184 -0.4170024 2.4895825 -0.3426153 2.6301555 -0.3779927 -0.3798059
## X185 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X186 -0.4170024 2.4895825 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X187 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X188 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 2.6301555
## X189 -0.4170024 -0.4012514 -0.3426153 2.6301555 -0.3779927 -0.3798059
## X190 -0.4170024 -0.4012514 2.9156563 -0.3798059 -0.3779927 -0.3798059
## X191 -0.4170024 2.4895825 -0.3426153 -0.3798059 -0.3779927 2.6301555
## X192 2.3955459 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X193 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X194 -0.4170024 2.4895825 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X195 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X196 -0.4170024 2.4895825 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X197 2.3955459 -0.4012514 2.9156563 -0.3798059 -0.3779927 -0.3798059
## X198 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 2.6301555
## X199 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X200 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X201 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X202 -0.4170024 2.4895825 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X203 -0.4170024 2.4895825 -0.3426153 -0.3798059 -0.3779927 2.6301555
## X204 -0.4170024 -0.4012514 2.9156563 -0.3798059 -0.3779927 -0.3798059
## X205 -0.4170024 2.4895825 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X206 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X207 -0.4170024 -0.4012514 2.9156563 -0.3798059 -0.3779927 -0.3798059
## X208 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X209 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X210 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X211 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X212 -0.4170024 2.4895825 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X213 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X214 -0.4170024 2.4895825 -0.3426153 -0.3798059 -0.3779927 2.6301555
## X215 -0.4170024 2.4895825 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X216 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X217 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X218 -0.4170024 -0.4012514 2.9156563 -0.3798059 -0.3779927 -0.3798059
## X219 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X220 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X221 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X222 -0.4170024 2.4895825 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X223 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X224 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X225 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X226 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X227 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X228 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X229 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X230 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X231 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X232 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X233 2.3955459 2.4895825 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X234 -0.4170024 2.4895825 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X235 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X236 2.3955459 -0.4012514 2.9156563 -0.3798059 -0.3779927 -0.3798059
## X237 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X238 -0.4170024 2.4895825 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X239 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X240 2.3955459 2.4895825 -0.3426153 -0.3798059 2.6427722 2.6301555
## X241 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X242 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X243 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X244 2.3955459 -0.4012514 2.9156563 2.6301555 2.6427722 -0.3798059
## X245 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X246 2.3955459 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X247 -0.4170024 -0.4012514 2.9156563 2.6301555 2.6427722 -0.3798059
## X248 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X249 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X250 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X251 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X252 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X253 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X254 -0.4170024 2.4895825 -0.3426153 2.6301555 -0.3779927 -0.3798059
## X255 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X256 -0.4170024 -0.4012514 -0.3426153 -0.3798059 2.6427722 -0.3798059
## X257 -0.4170024 -0.4012514 -0.3426153 -0.3798059 2.6427722 -0.3798059
## X258 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X259 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X260 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X261 2.3955459 -0.4012514 2.9156563 2.6301555 -0.3779927 2.6301555
## X262 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X263 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X264 -0.4170024 -0.4012514 -0.3426153 2.6301555 -0.3779927 -0.3798059
## X265 -0.4170024 2.4895825 -0.3426153 -0.3798059 -0.3779927 2.6301555
## X266 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X267 -0.4170024 -0.4012514 -0.3426153 -0.3798059 2.6427722 -0.3798059
## X268 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X269 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X270 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X271 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X272 2.3955459 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X273 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X274 2.3955459 2.4895825 -0.3426153 2.6301555 -0.3779927 -0.3798059
## X275 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X276 -0.4170024 -0.4012514 -0.3426153 2.6301555 2.6427722 -0.3798059
## X277 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X278 -0.4170024 -0.4012514 -0.3426153 2.6301555 -0.3779927 -0.3798059
## X279 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X280 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X281 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X282 -0.4170024 -0.4012514 2.9156563 -0.3798059 -0.3779927 -0.3798059
## X283 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X284 2.3955459 2.4895825 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X285 2.3955459 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X286 -0.4170024 -0.4012514 2.9156563 2.6301555 2.6427722 -0.3798059
## X287 -0.4170024 -0.4012514 -0.3426153 2.6301555 2.6427722 -0.3798059
## X288 -0.4170024 -0.4012514 -0.3426153 -0.3798059 2.6427722 -0.3798059
## X289 2.3955459 2.4895825 -0.3426153 -0.3798059 2.6427722 2.6301555
## X290 2.3955459 -0.4012514 2.9156563 2.6301555 2.6427722 -0.3798059
## X291 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 2.6301555
## X292 2.3955459 -0.4012514 2.9156563 2.6301555 2.6427722 -0.3798059
## X293 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X294 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X295 -0.4170024 2.4895825 -0.3426153 -0.3798059 -0.3779927 2.6301555
## X296 2.3955459 -0.4012514 2.9156563 2.6301555 2.6427722 -0.3798059
## X297 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X298 2.3955459 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X299 2.3955459 2.4895825 -0.3426153 2.6301555 -0.3779927 -0.3798059
## X300 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X301 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X302 2.3955459 -0.4012514 2.9156563 -0.3798059 -0.3779927 2.6301555
## X303 -0.4170024 -0.4012514 -0.3426153 2.6301555 -0.3779927 2.6301555
## X304 -0.4170024 -0.4012514 2.9156563 2.6301555 2.6427722 -0.3798059
## X305 -0.4170024 -0.4012514 2.9156563 -0.3798059 -0.3779927 -0.3798059
## X306 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X307 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X308 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X309 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X310 -0.4170024 2.4895825 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X311 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X312 2.3955459 2.4895825 -0.3426153 -0.3798059 2.6427722 2.6301555
## X313 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X314 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X315 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X316 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X317 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X318 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X319 2.3955459 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X320 -0.4170024 2.4895825 -0.3426153 2.6301555 -0.3779927 2.6301555
## X321 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X322 2.3955459 -0.4012514 -0.3426153 -0.3798059 2.6427722 -0.3798059
## X323 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X324 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X325 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X326 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X327 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X328 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X329 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X330 -0.4170024 -0.4012514 -0.3426153 -0.3798059 2.6427722 -0.3798059
## X331 2.3955459 -0.4012514 2.9156563 2.6301555 -0.3779927 -0.3798059
## X332 2.3955459 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X333 2.3955459 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X334 -0.4170024 -0.4012514 -0.3426153 -0.3798059 2.6427722 -0.3798059
## X335 -0.4170024 -0.4012514 -0.3426153 -0.3798059 2.6427722 -0.3798059
## X336 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X337 2.3955459 -0.4012514 2.9156563 -0.3798059 2.6427722 -0.3798059
## X338 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X339 2.3955459 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X340 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X341 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X342 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X343 2.3955459 2.4895825 -0.3426153 2.6301555 -0.3779927 -0.3798059
## X344 2.3955459 -0.4012514 2.9156563 -0.3798059 -0.3779927 -0.3798059
## X345 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X346 2.3955459 2.4895825 -0.3426153 2.6301555 -0.3779927 -0.3798059
## X347 -0.4170024 2.4895825 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X348 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X349 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X350 -0.4170024 2.4895825 2.9156563 2.6301555 -0.3779927 -0.3798059
## X351 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X352 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X353 -0.4170024 -0.4012514 2.9156563 -0.3798059 -0.3779927 -0.3798059
## X354 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 2.6301555
## X355 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X356 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X357 -0.4170024 2.4895825 2.9156563 -0.3798059 -0.3779927 2.6301555
## X358 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X359 2.3955459 2.4895825 -0.3426153 2.6301555 -0.3779927 -0.3798059
## X360 -0.4170024 2.4895825 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X361 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X362 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X363 -0.4170024 -0.4012514 2.9156563 2.6301555 2.6427722 -0.3798059
## X364 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X365 -0.4170024 -0.4012514 2.9156563 -0.3798059 -0.3779927 -0.3798059
## X366 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X367 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X368 -0.4170024 2.4895825 -0.3426153 -0.3798059 -0.3779927 2.6301555
## X369 2.3955459 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X370 -0.4170024 -0.4012514 2.9156563 2.6301555 2.6427722 -0.3798059
## X371 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X372 2.3955459 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X373 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X374 2.3955459 -0.4012514 -0.3426153 2.6301555 -0.3779927 -0.3798059
## X375 2.3955459 2.4895825 2.9156563 2.6301555 -0.3779927 2.6301555
## X376 -0.4170024 2.4895825 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X377 -0.4170024 2.4895825 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X378 -0.4170024 -0.4012514 -0.3426153 2.6301555 -0.3779927 -0.3798059
## X379 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X380 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X381 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X382 -0.4170024 -0.4012514 2.9156563 -0.3798059 -0.3779927 -0.3798059
## X383 -0.4170024 2.4895825 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X384 -0.4170024 2.4895825 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X385 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X386 -0.4170024 -0.4012514 2.9156563 -0.3798059 2.6427722 -0.3798059
## X387 2.3955459 -0.4012514 2.9156563 2.6301555 -0.3779927 -0.3798059
## X388 2.3955459 -0.4012514 2.9156563 -0.3798059 2.6427722 -0.3798059
## X389 -0.4170024 -0.4012514 2.9156563 -0.3798059 2.6427722 -0.3798059
## X390 2.3955459 -0.4012514 2.9156563 2.6301555 -0.3779927 -0.3798059
## X391 -0.4170024 2.4895825 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X392 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X393 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X394 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X395 -0.4170024 -0.4012514 -0.3426153 -0.3798059 2.6427722 -0.3798059
## X396 -0.4170024 2.4895825 -0.3426153 -0.3798059 -0.3779927 2.6301555
## X397 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X398 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 2.6301555
## X399 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X400 -0.4170024 -0.4012514 2.9156563 -0.3798059 -0.3779927 -0.3798059
## X401 -0.4170024 -0.4012514 -0.3426153 -0.3798059 2.6427722 -0.3798059
## X402 -0.4170024 -0.4012514 -0.3426153 -0.3798059 2.6427722 -0.3798059
## X403 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X404 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X405 2.3955459 2.4895825 2.9156563 -0.3798059 -0.3779927 2.6301555
## X406 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X407 2.3955459 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X408 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X409 2.3955459 2.4895825 -0.3426153 2.6301555 -0.3779927 -0.3798059
## X410 -0.4170024 -0.4012514 2.9156563 2.6301555 2.6427722 -0.3798059
## X411 -0.4170024 2.4895825 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X412 -0.4170024 -0.4012514 2.9156563 -0.3798059 2.6427722 -0.3798059
## X413 -0.4170024 -0.4012514 -0.3426153 2.6301555 -0.3779927 -0.3798059
## X414 -0.4170024 -0.4012514 -0.3426153 -0.3798059 2.6427722 -0.3798059
## X415 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X416 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X417 -0.4170024 -0.4012514 2.9156563 2.6301555 2.6427722 -0.3798059
## X418 -0.4170024 2.4895825 -0.3426153 -0.3798059 -0.3779927 2.6301555
## X419 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X420 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 2.6301555
## X421 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X422 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X423 -0.4170024 2.4895825 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X424 -0.4170024 -0.4012514 -0.3426153 2.6301555 -0.3779927 -0.3798059
## X425 -0.4170024 2.4895825 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X426 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X427 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X428 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X429 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X430 2.3955459 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X431 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X432 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X433 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X434 2.3955459 -0.4012514 2.9156563 2.6301555 2.6427722 -0.3798059
## X435 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X436 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X437 -0.4170024 -0.4012514 -0.3426153 -0.3798059 2.6427722 -0.3798059
## X438 -0.4170024 2.4895825 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X439 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 2.6301555
## X440 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X441 2.3955459 -0.4012514 2.9156563 2.6301555 -0.3779927 -0.3798059
## X442 -0.4170024 2.4895825 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X443 2.3955459 -0.4012514 2.9156563 2.6301555 2.6427722 -0.3798059
## X444 -0.4170024 -0.4012514 -0.3426153 -0.3798059 2.6427722 -0.3798059
## X445 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X446 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 2.6301555
## X447 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X448 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X449 2.3955459 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X450 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X451 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X452 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X453 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## X454 -0.4170024 -0.4012514 -0.3426153 -0.3798059 -0.3779927 -0.3798059
## FP134 FP135 FP136 FP137 FP138 FP139
## X1 -0.3816148 -0.3798059 2.6947952 -0.361468 -0.3539942 -0.2987526
## X2 2.6176881 2.6301555 -0.3706955 2.763587 2.8219347 -0.2987526
## X3 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X4 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X5 -0.3816148 -0.3798059 2.6947952 2.763587 2.8219347 -0.2987526
## X6 2.6176881 -0.3798059 -0.3706955 2.763587 -0.3539942 -0.2987526
## X7 -0.3816148 2.6301555 2.6947952 2.763587 2.8219347 3.3437313
## X8 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X9 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X10 -0.3816148 2.6301555 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X11 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X12 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X13 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X14 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X15 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X16 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X17 2.6176881 -0.3798059 2.6947952 -0.361468 2.8219347 3.3437313
## X18 2.6176881 2.6301555 -0.3706955 2.763587 2.8219347 -0.2987526
## X19 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X20 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X21 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X22 -0.3816148 2.6301555 -0.3706955 2.763587 2.8219347 -0.2987526
## X23 -0.3816148 2.6301555 -0.3706955 2.763587 2.8219347 -0.2987526
## X24 -0.3816148 2.6301555 -0.3706955 2.763587 2.8219347 -0.2987526
## X25 2.6176881 2.6301555 -0.3706955 -0.361468 2.8219347 3.3437313
## X26 2.6176881 2.6301555 -0.3706955 -0.361468 -0.3539942 3.3437313
## X27 2.6176881 -0.3798059 -0.3706955 2.763587 2.8219347 -0.2987526
## X28 -0.3816148 -0.3798059 2.6947952 -0.361468 -0.3539942 -0.2987526
## X29 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X30 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X31 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X32 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X33 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X34 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X35 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X36 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X37 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X38 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X39 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X40 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X41 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X42 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X43 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X44 2.6176881 2.6301555 -0.3706955 2.763587 2.8219347 -0.2987526
## X45 -0.3816148 -0.3798059 2.6947952 -0.361468 -0.3539942 -0.2987526
## X46 -0.3816148 -0.3798059 -0.3706955 2.763587 -0.3539942 -0.2987526
## X47 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X48 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 3.3437313
## X49 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X50 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X51 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X52 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X53 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X54 -0.3816148 -0.3798059 2.6947952 -0.361468 2.8219347 -0.2987526
## X55 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X56 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X57 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X58 2.6176881 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X59 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X60 -0.3816148 -0.3798059 2.6947952 2.763587 -0.3539942 -0.2987526
## X61 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X62 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X63 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X64 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X65 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X66 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X67 2.6176881 2.6301555 -0.3706955 2.763587 2.8219347 -0.2987526
## X68 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X69 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X70 2.6176881 2.6301555 -0.3706955 2.763587 2.8219347 -0.2987526
## X71 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X72 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X73 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X74 2.6176881 -0.3798059 -0.3706955 2.763587 2.8219347 -0.2987526
## X75 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X76 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X77 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X78 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X79 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X80 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X81 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X82 -0.3816148 -0.3798059 2.6947952 -0.361468 -0.3539942 -0.2987526
## X83 2.6176881 2.6301555 -0.3706955 2.763587 2.8219347 -0.2987526
## X84 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X85 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X86 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X87 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X88 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X89 2.6176881 2.6301555 -0.3706955 -0.361468 2.8219347 3.3437313
## X90 2.6176881 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X91 -0.3816148 2.6301555 -0.3706955 -0.361468 2.8219347 -0.2987526
## X92 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X93 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X94 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X95 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X96 -0.3816148 2.6301555 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X97 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X98 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X99 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X100 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X101 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X102 2.6176881 2.6301555 -0.3706955 2.763587 2.8219347 -0.2987526
## X103 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X104 -0.3816148 -0.3798059 2.6947952 -0.361468 -0.3539942 -0.2987526
## X105 2.6176881 -0.3798059 -0.3706955 -0.361468 -0.3539942 3.3437313
## X106 2.6176881 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X107 -0.3816148 -0.3798059 -0.3706955 2.763587 -0.3539942 -0.2987526
## X108 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X109 2.6176881 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X110 -0.3816148 -0.3798059 2.6947952 2.763587 -0.3539942 -0.2987526
## X111 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X112 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X113 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X114 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 3.3437313
## X115 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X116 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X117 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X118 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X119 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X120 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X121 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X122 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X123 2.6176881 2.6301555 -0.3706955 2.763587 -0.3539942 -0.2987526
## X124 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X125 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X126 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X127 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X128 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X129 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X130 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X131 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X132 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X133 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X134 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X135 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X136 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X137 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X138 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X139 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X140 -0.3816148 -0.3798059 2.6947952 -0.361468 -0.3539942 -0.2987526
## X141 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X142 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X143 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X144 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X145 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X146 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X147 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X148 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X149 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X150 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X151 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X152 -0.3816148 -0.3798059 2.6947952 -0.361468 -0.3539942 3.3437313
## X153 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X154 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X155 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X156 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X157 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X158 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X159 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X160 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X161 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X162 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X163 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X164 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X165 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X166 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X167 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X168 2.6176881 -0.3798059 2.6947952 -0.361468 -0.3539942 -0.2987526
## X169 2.6176881 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X170 -0.3816148 2.6301555 -0.3706955 2.763587 2.8219347 -0.2987526
## X171 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X172 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X173 2.6176881 -0.3798059 2.6947952 -0.361468 -0.3539942 3.3437313
## X174 -0.3816148 -0.3798059 2.6947952 -0.361468 -0.3539942 -0.2987526
## X175 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X176 2.6176881 2.6301555 -0.3706955 2.763587 2.8219347 -0.2987526
## X177 2.6176881 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X178 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X179 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X180 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X181 2.6176881 2.6301555 -0.3706955 2.763587 2.8219347 -0.2987526
## X182 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X183 2.6176881 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X184 -0.3816148 -0.3798059 2.6947952 -0.361468 -0.3539942 -0.2987526
## X185 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X186 -0.3816148 2.6301555 -0.3706955 2.763587 2.8219347 -0.2987526
## X187 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X188 -0.3816148 2.6301555 -0.3706955 2.763587 2.8219347 -0.2987526
## X189 2.6176881 2.6301555 -0.3706955 2.763587 2.8219347 -0.2987526
## X190 2.6176881 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X191 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X192 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X193 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X194 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X195 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X196 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X197 2.6176881 -0.3798059 2.6947952 -0.361468 -0.3539942 -0.2987526
## X198 2.6176881 -0.3798059 -0.3706955 2.763587 -0.3539942 -0.2987526
## X199 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X200 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X201 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X202 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X203 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X204 2.6176881 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X205 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X206 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X207 2.6176881 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X208 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X209 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X210 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X211 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X212 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X213 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X214 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X215 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X216 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X217 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X218 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X219 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X220 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X221 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X222 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X223 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X224 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X225 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X226 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X227 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X228 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X229 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X230 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X231 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X232 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X233 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X234 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X235 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X236 2.6176881 -0.3798059 2.6947952 -0.361468 -0.3539942 -0.2987526
## X237 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X238 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X239 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X240 -0.3816148 -0.3798059 -0.3706955 2.763587 -0.3539942 -0.2987526
## X241 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X242 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X243 -0.3816148 -0.3798059 2.6947952 -0.361468 -0.3539942 -0.2987526
## X244 2.6176881 -0.3798059 2.6947952 -0.361468 -0.3539942 3.3437313
## X245 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X246 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X247 2.6176881 -0.3798059 2.6947952 -0.361468 -0.3539942 3.3437313
## X248 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X249 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X250 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X251 2.6176881 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X252 -0.3816148 2.6301555 -0.3706955 2.763587 2.8219347 -0.2987526
## X253 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X254 -0.3816148 -0.3798059 2.6947952 -0.361468 -0.3539942 -0.2987526
## X255 2.6176881 -0.3798059 -0.3706955 2.763587 2.8219347 -0.2987526
## X256 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X257 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X258 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X259 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X260 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X261 2.6176881 -0.3798059 -0.3706955 -0.361468 -0.3539942 3.3437313
## X262 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X263 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X264 -0.3816148 -0.3798059 2.6947952 -0.361468 -0.3539942 -0.2987526
## X265 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X266 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X267 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X268 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X269 -0.3816148 2.6301555 -0.3706955 2.763587 2.8219347 -0.2987526
## X270 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X271 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X272 -0.3816148 2.6301555 -0.3706955 2.763587 -0.3539942 -0.2987526
## X273 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X274 -0.3816148 -0.3798059 -0.3706955 2.763587 -0.3539942 -0.2987526
## X275 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X276 -0.3816148 -0.3798059 2.6947952 -0.361468 -0.3539942 -0.2987526
## X277 -0.3816148 2.6301555 2.6947952 2.763587 2.8219347 -0.2987526
## X278 2.6176881 -0.3798059 2.6947952 -0.361468 -0.3539942 -0.2987526
## X279 -0.3816148 -0.3798059 2.6947952 -0.361468 -0.3539942 -0.2987526
## X280 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X281 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X282 -0.3816148 -0.3798059 -0.3706955 2.763587 -0.3539942 3.3437313
## X283 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X284 -0.3816148 2.6301555 -0.3706955 2.763587 -0.3539942 -0.2987526
## X285 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X286 2.6176881 -0.3798059 2.6947952 -0.361468 -0.3539942 3.3437313
## X287 -0.3816148 -0.3798059 2.6947952 -0.361468 -0.3539942 -0.2987526
## X288 -0.3816148 2.6301555 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X289 -0.3816148 -0.3798059 -0.3706955 2.763587 -0.3539942 -0.2987526
## X290 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 3.3437313
## X291 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X292 2.6176881 -0.3798059 2.6947952 -0.361468 -0.3539942 3.3437313
## X293 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X294 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X295 -0.3816148 -0.3798059 -0.3706955 2.763587 -0.3539942 -0.2987526
## X296 2.6176881 -0.3798059 2.6947952 -0.361468 -0.3539942 3.3437313
## X297 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X298 -0.3816148 2.6301555 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X299 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X300 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X301 -0.3816148 -0.3798059 -0.3706955 2.763587 2.8219347 -0.2987526
## X302 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 3.3437313
## X303 2.6176881 -0.3798059 2.6947952 -0.361468 2.8219347 -0.2987526
## X304 2.6176881 -0.3798059 -0.3706955 -0.361468 -0.3539942 3.3437313
## X305 2.6176881 2.6301555 -0.3706955 -0.361468 2.8219347 3.3437313
## X306 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X307 -0.3816148 2.6301555 2.6947952 2.763587 2.8219347 -0.2987526
## X308 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X309 -0.3816148 2.6301555 2.6947952 2.763587 2.8219347 -0.2987526
## X310 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X311 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X312 -0.3816148 -0.3798059 -0.3706955 2.763587 -0.3539942 -0.2987526
## X313 -0.3816148 2.6301555 -0.3706955 2.763587 2.8219347 -0.2987526
## X314 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X315 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X316 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X317 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X318 -0.3816148 2.6301555 -0.3706955 2.763587 2.8219347 -0.2987526
## X319 2.6176881 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X320 -0.3816148 -0.3798059 2.6947952 -0.361468 2.8219347 -0.2987526
## X321 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X322 -0.3816148 2.6301555 -0.3706955 2.763587 2.8219347 -0.2987526
## X323 2.6176881 -0.3798059 2.6947952 -0.361468 -0.3539942 -0.2987526
## X324 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X325 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X326 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X327 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X328 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X329 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X330 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X331 2.6176881 -0.3798059 -0.3706955 -0.361468 -0.3539942 3.3437313
## X332 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X333 -0.3816148 2.6301555 -0.3706955 2.763587 2.8219347 -0.2987526
## X334 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X335 -0.3816148 2.6301555 -0.3706955 -0.361468 2.8219347 -0.2987526
## X336 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X337 2.6176881 -0.3798059 2.6947952 -0.361468 -0.3539942 3.3437313
## X338 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X339 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X340 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X341 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X342 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X343 -0.3816148 2.6301555 -0.3706955 2.763587 2.8219347 -0.2987526
## X344 2.6176881 -0.3798059 -0.3706955 -0.361468 -0.3539942 3.3437313
## X345 -0.3816148 -0.3798059 2.6947952 -0.361468 -0.3539942 -0.2987526
## X346 2.6176881 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X347 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X348 -0.3816148 2.6301555 2.6947952 2.763587 2.8219347 -0.2987526
## X349 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X350 -0.3816148 2.6301555 2.6947952 -0.361468 2.8219347 3.3437313
## X351 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X352 2.6176881 -0.3798059 -0.3706955 2.763587 2.8219347 -0.2987526
## X353 2.6176881 2.6301555 -0.3706955 -0.361468 2.8219347 3.3437313
## X354 -0.3816148 2.6301555 -0.3706955 2.763587 2.8219347 -0.2987526
## X355 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X356 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X357 2.6176881 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X358 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X359 2.6176881 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X360 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X361 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X362 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X363 2.6176881 -0.3798059 2.6947952 -0.361468 -0.3539942 3.3437313
## X364 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X365 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 3.3437313
## X366 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X367 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X368 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X369 -0.3816148 -0.3798059 -0.3706955 2.763587 2.8219347 -0.2987526
## X370 2.6176881 2.6301555 -0.3706955 -0.361468 -0.3539942 3.3437313
## X371 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X372 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X373 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X374 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X375 -0.3816148 -0.3798059 2.6947952 -0.361468 -0.3539942 3.3437313
## X376 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X377 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X378 -0.3816148 2.6301555 -0.3706955 2.763587 2.8219347 -0.2987526
## X379 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X380 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X381 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X382 2.6176881 2.6301555 -0.3706955 -0.361468 2.8219347 3.3437313
## X383 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X384 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X385 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X386 2.6176881 -0.3798059 2.6947952 -0.361468 -0.3539942 3.3437313
## X387 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 3.3437313
## X388 2.6176881 -0.3798059 -0.3706955 -0.361468 -0.3539942 3.3437313
## X389 2.6176881 -0.3798059 2.6947952 -0.361468 -0.3539942 3.3437313
## X390 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 3.3437313
## X391 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X392 -0.3816148 2.6301555 -0.3706955 2.763587 2.8219347 -0.2987526
## X393 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X394 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X395 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X396 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X397 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X398 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X399 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X400 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 3.3437313
## X401 -0.3816148 2.6301555 2.6947952 -0.361468 -0.3539942 -0.2987526
## X402 -0.3816148 2.6301555 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X403 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X404 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X405 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 3.3437313
## X406 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X407 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X408 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X409 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X410 2.6176881 -0.3798059 -0.3706955 -0.361468 -0.3539942 3.3437313
## X411 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X412 2.6176881 -0.3798059 2.6947952 -0.361468 -0.3539942 3.3437313
## X413 2.6176881 -0.3798059 2.6947952 -0.361468 -0.3539942 -0.2987526
## X414 -0.3816148 2.6301555 -0.3706955 -0.361468 2.8219347 -0.2987526
## X415 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X416 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X417 2.6176881 -0.3798059 2.6947952 -0.361468 -0.3539942 3.3437313
## X418 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X419 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X420 -0.3816148 -0.3798059 -0.3706955 2.763587 -0.3539942 -0.2987526
## X421 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X422 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X423 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X424 -0.3816148 2.6301555 2.6947952 2.763587 2.8219347 -0.2987526
## X425 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X426 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X427 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X428 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X429 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X430 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X431 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X432 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X433 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X434 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 3.3437313
## X435 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X436 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X437 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X438 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X439 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X440 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X441 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 3.3437313
## X442 -0.3816148 2.6301555 -0.3706955 2.763587 2.8219347 -0.2987526
## X443 2.6176881 2.6301555 -0.3706955 -0.361468 -0.3539942 3.3437313
## X444 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X445 2.6176881 2.6301555 -0.3706955 2.763587 2.8219347 -0.2987526
## X446 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X447 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X448 2.6176881 2.6301555 -0.3706955 2.763587 2.8219347 -0.2987526
## X449 -0.3816148 2.6301555 -0.3706955 2.763587 2.8219347 -0.2987526
## X450 -0.3816148 -0.3798059 2.6947952 -0.361468 -0.3539942 -0.2987526
## X451 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X452 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X453 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## X454 -0.3816148 -0.3798059 -0.3706955 -0.361468 -0.3539942 -0.2987526
## FP140 FP141 FP142 FP143 FP144 FP145
## X1 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X2 -0.3539942 2.7494745 2.8523090 -0.2966615 -0.3406978 -0.3406978
## X3 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X4 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X5 -0.3539942 -0.3633234 2.8523090 -0.2966615 2.9320660 -0.3406978
## X6 -0.3539942 2.7494745 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X7 2.8219347 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X8 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X9 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X10 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X11 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X12 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X13 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X14 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X15 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X16 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X17 -0.3539942 2.7494745 2.8523090 3.3673007 2.9320660 -0.3406978
## X18 -0.3539942 2.7494745 2.8523090 -0.2966615 2.9320660 2.9320660
## X19 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X20 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X21 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X22 -0.3539942 -0.3633234 2.8523090 -0.2966615 -0.3406978 -0.3406978
## X23 -0.3539942 -0.3633234 2.8523090 -0.2966615 -0.3406978 -0.3406978
## X24 -0.3539942 -0.3633234 2.8523090 -0.2966615 -0.3406978 -0.3406978
## X25 -0.3539942 2.7494745 -0.3502245 3.3673007 2.9320660 -0.3406978
## X26 -0.3539942 2.7494745 -0.3502245 3.3673007 -0.3406978 -0.3406978
## X27 -0.3539942 2.7494745 2.8523090 -0.2966615 -0.3406978 -0.3406978
## X28 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X29 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X30 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X31 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X32 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X33 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X34 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X35 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X36 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X37 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X38 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X39 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X40 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X41 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X42 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X43 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X44 -0.3539942 2.7494745 2.8523090 -0.2966615 -0.3406978 -0.3406978
## X45 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X46 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X47 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X48 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X49 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X50 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X51 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X52 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X53 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X54 -0.3539942 -0.3633234 -0.3502245 -0.2966615 2.9320660 -0.3406978
## X55 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X56 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X57 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X58 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X59 2.8219347 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X60 2.8219347 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X61 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X62 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X63 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X64 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X65 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X66 -0.3539942 -0.3633234 -0.3502245 -0.2966615 2.9320660 -0.3406978
## X67 -0.3539942 2.7494745 2.8523090 -0.2966615 -0.3406978 2.9320660
## X68 -0.3539942 -0.3633234 -0.3502245 -0.2966615 2.9320660 -0.3406978
## X69 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X70 -0.3539942 2.7494745 2.8523090 -0.2966615 -0.3406978 -0.3406978
## X71 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X72 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X73 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X74 -0.3539942 2.7494745 2.8523090 -0.2966615 -0.3406978 -0.3406978
## X75 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X76 -0.3539942 -0.3633234 -0.3502245 -0.2966615 2.9320660 -0.3406978
## X77 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X78 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X79 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X80 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X81 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X82 2.8219347 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X83 -0.3539942 2.7494745 2.8523090 -0.2966615 -0.3406978 -0.3406978
## X84 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 2.9320660
## X85 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X86 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X87 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X88 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X89 -0.3539942 2.7494745 -0.3502245 3.3673007 2.9320660 -0.3406978
## X90 -0.3539942 2.7494745 -0.3502245 3.3673007 -0.3406978 -0.3406978
## X91 -0.3539942 -0.3633234 -0.3502245 -0.2966615 2.9320660 2.9320660
## X92 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X93 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X94 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X95 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X96 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 2.9320660
## X97 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X98 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X99 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X100 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X101 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X102 -0.3539942 2.7494745 2.8523090 -0.2966615 -0.3406978 -0.3406978
## X103 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X104 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X105 2.8219347 2.7494745 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X106 -0.3539942 2.7494745 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X107 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X108 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X109 -0.3539942 2.7494745 -0.3502245 3.3673007 -0.3406978 -0.3406978
## X110 2.8219347 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X111 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X112 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X113 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X114 2.8219347 -0.3633234 -0.3502245 -0.2966615 -0.3406978 2.9320660
## X115 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X116 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X117 -0.3539942 -0.3633234 -0.3502245 -0.2966615 2.9320660 -0.3406978
## X118 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X119 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X120 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X121 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X122 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X123 2.8219347 2.7494745 -0.3502245 3.3673007 -0.3406978 -0.3406978
## X124 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X125 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X126 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X127 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X128 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X129 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X130 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X131 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X132 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X133 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X134 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X135 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X136 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X137 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X138 2.8219347 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X139 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X140 2.8219347 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X141 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X142 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X143 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X144 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X145 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X146 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X147 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X148 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X149 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X150 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X151 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X152 2.8219347 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X153 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X154 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X155 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X156 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X157 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X158 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X159 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X160 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X161 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X162 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X163 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X164 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X165 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X166 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X167 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X168 -0.3539942 2.7494745 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X169 -0.3539942 2.7494745 2.8523090 3.3673007 -0.3406978 -0.3406978
## X170 2.8219347 -0.3633234 2.8523090 -0.2966615 -0.3406978 2.9320660
## X171 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X172 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X173 -0.3539942 2.7494745 -0.3502245 3.3673007 -0.3406978 2.9320660
## X174 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X175 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X176 -0.3539942 2.7494745 2.8523090 -0.2966615 -0.3406978 -0.3406978
## X177 2.8219347 2.7494745 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X178 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X179 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X180 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X181 -0.3539942 2.7494745 2.8523090 -0.2966615 -0.3406978 -0.3406978
## X182 2.8219347 -0.3633234 -0.3502245 -0.2966615 2.9320660 -0.3406978
## X183 2.8219347 2.7494745 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X184 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X185 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X186 -0.3539942 -0.3633234 2.8523090 -0.2966615 -0.3406978 -0.3406978
## X187 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X188 -0.3539942 -0.3633234 2.8523090 -0.2966615 -0.3406978 -0.3406978
## X189 -0.3539942 2.7494745 2.8523090 -0.2966615 -0.3406978 -0.3406978
## X190 -0.3539942 2.7494745 -0.3502245 3.3673007 -0.3406978 -0.3406978
## X191 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X192 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X193 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X194 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X195 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X196 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X197 -0.3539942 2.7494745 -0.3502245 3.3673007 -0.3406978 -0.3406978
## X198 -0.3539942 2.7494745 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X199 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X200 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X201 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X202 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X203 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X204 -0.3539942 2.7494745 -0.3502245 3.3673007 -0.3406978 -0.3406978
## X205 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X206 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X207 -0.3539942 2.7494745 -0.3502245 3.3673007 -0.3406978 -0.3406978
## X208 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X209 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X210 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X211 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X212 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X213 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X214 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X215 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X216 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X217 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X218 -0.3539942 -0.3633234 -0.3502245 3.3673007 -0.3406978 -0.3406978
## X219 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X220 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X221 -0.3539942 -0.3633234 -0.3502245 -0.2966615 2.9320660 -0.3406978
## X222 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X223 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X224 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X225 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X226 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X227 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X228 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X229 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X230 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X231 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X232 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X233 2.8219347 -0.3633234 -0.3502245 -0.2966615 -0.3406978 2.9320660
## X234 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X235 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X236 -0.3539942 2.7494745 -0.3502245 3.3673007 -0.3406978 -0.3406978
## X237 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X238 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X239 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X240 -0.3539942 -0.3633234 2.8523090 -0.2966615 -0.3406978 2.9320660
## X241 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X242 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X243 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X244 -0.3539942 2.7494745 -0.3502245 3.3673007 -0.3406978 -0.3406978
## X245 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X246 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X247 -0.3539942 2.7494745 -0.3502245 3.3673007 -0.3406978 2.9320660
## X248 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X249 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X250 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X251 2.8219347 2.7494745 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X252 2.8219347 -0.3633234 2.8523090 -0.2966615 2.9320660 -0.3406978
## X253 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X254 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X255 2.8219347 2.7494745 -0.3502245 -0.2966615 -0.3406978 2.9320660
## X256 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X257 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X258 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X259 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X260 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X261 -0.3539942 2.7494745 -0.3502245 3.3673007 -0.3406978 -0.3406978
## X262 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X263 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X264 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X265 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X266 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X267 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X268 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X269 -0.3539942 -0.3633234 2.8523090 -0.2966615 -0.3406978 2.9320660
## X270 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X271 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X272 -0.3539942 -0.3633234 2.8523090 -0.2966615 -0.3406978 2.9320660
## X273 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X274 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X275 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X276 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 2.9320660
## X277 -0.3539942 -0.3633234 2.8523090 -0.2966615 -0.3406978 2.9320660
## X278 -0.3539942 2.7494745 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X279 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X280 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X281 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X282 2.8219347 -0.3633234 -0.3502245 3.3673007 -0.3406978 2.9320660
## X283 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X284 2.8219347 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X285 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X286 -0.3539942 2.7494745 -0.3502245 3.3673007 -0.3406978 -0.3406978
## X287 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X288 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 2.9320660
## X289 -0.3539942 -0.3633234 2.8523090 -0.2966615 -0.3406978 2.9320660
## X290 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 2.9320660
## X291 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X292 2.8219347 2.7494745 -0.3502245 3.3673007 -0.3406978 -0.3406978
## X293 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X294 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X295 -0.3539942 -0.3633234 2.8523090 -0.2966615 -0.3406978 -0.3406978
## X296 -0.3539942 2.7494745 -0.3502245 3.3673007 -0.3406978 -0.3406978
## X297 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X298 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X299 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X300 -0.3539942 -0.3633234 -0.3502245 -0.2966615 2.9320660 -0.3406978
## X301 -0.3539942 -0.3633234 2.8523090 -0.2966615 -0.3406978 -0.3406978
## X302 -0.3539942 -0.3633234 -0.3502245 3.3673007 -0.3406978 -0.3406978
## X303 -0.3539942 2.7494745 -0.3502245 -0.2966615 2.9320660 -0.3406978
## X304 -0.3539942 2.7494745 -0.3502245 3.3673007 -0.3406978 -0.3406978
## X305 -0.3539942 2.7494745 -0.3502245 3.3673007 2.9320660 -0.3406978
## X306 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X307 -0.3539942 -0.3633234 2.8523090 -0.2966615 -0.3406978 2.9320660
## X308 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X309 -0.3539942 -0.3633234 2.8523090 -0.2966615 -0.3406978 2.9320660
## X310 -0.3539942 -0.3633234 -0.3502245 -0.2966615 2.9320660 -0.3406978
## X311 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X312 -0.3539942 -0.3633234 2.8523090 -0.2966615 -0.3406978 2.9320660
## X313 -0.3539942 -0.3633234 2.8523090 -0.2966615 -0.3406978 -0.3406978
## X314 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X315 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X316 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X317 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X318 2.8219347 -0.3633234 2.8523090 -0.2966615 -0.3406978 2.9320660
## X319 -0.3539942 2.7494745 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X320 -0.3539942 -0.3633234 -0.3502245 -0.2966615 2.9320660 -0.3406978
## X321 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X322 -0.3539942 -0.3633234 2.8523090 -0.2966615 2.9320660 -0.3406978
## X323 2.8219347 2.7494745 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X324 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X325 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X326 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X327 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X328 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X329 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X330 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X331 -0.3539942 2.7494745 -0.3502245 3.3673007 -0.3406978 -0.3406978
## X332 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X333 -0.3539942 -0.3633234 2.8523090 -0.2966615 -0.3406978 -0.3406978
## X334 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X335 -0.3539942 -0.3633234 2.8523090 -0.2966615 2.9320660 2.9320660
## X336 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X337 -0.3539942 2.7494745 -0.3502245 3.3673007 -0.3406978 2.9320660
## X338 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X339 2.8219347 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X340 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X341 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X342 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X343 2.8219347 -0.3633234 2.8523090 -0.2966615 -0.3406978 -0.3406978
## X344 2.8219347 2.7494745 -0.3502245 3.3673007 -0.3406978 -0.3406978
## X345 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X346 -0.3539942 2.7494745 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X347 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X348 -0.3539942 -0.3633234 2.8523090 -0.2966615 -0.3406978 2.9320660
## X349 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X350 2.8219347 -0.3633234 -0.3502245 -0.2966615 -0.3406978 2.9320660
## X351 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X352 -0.3539942 2.7494745 2.8523090 -0.2966615 -0.3406978 -0.3406978
## X353 -0.3539942 2.7494745 -0.3502245 3.3673007 2.9320660 -0.3406978
## X354 -0.3539942 -0.3633234 2.8523090 -0.2966615 -0.3406978 -0.3406978
## X355 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X356 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X357 2.8219347 -0.3633234 -0.3502245 3.3673007 -0.3406978 -0.3406978
## X358 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X359 -0.3539942 2.7494745 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X360 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X361 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X362 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X363 -0.3539942 2.7494745 -0.3502245 3.3673007 -0.3406978 -0.3406978
## X364 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X365 -0.3539942 -0.3633234 -0.3502245 3.3673007 -0.3406978 2.9320660
## X366 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X367 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X368 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X369 -0.3539942 -0.3633234 2.8523090 -0.2966615 -0.3406978 2.9320660
## X370 -0.3539942 2.7494745 -0.3502245 3.3673007 -0.3406978 -0.3406978
## X371 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X372 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X373 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X374 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 2.9320660
## X375 2.8219347 -0.3633234 -0.3502245 -0.2966615 -0.3406978 2.9320660
## X376 -0.3539942 -0.3633234 -0.3502245 -0.2966615 2.9320660 -0.3406978
## X377 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X378 -0.3539942 -0.3633234 2.8523090 -0.2966615 2.9320660 -0.3406978
## X379 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X380 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X381 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X382 -0.3539942 2.7494745 2.8523090 3.3673007 -0.3406978 2.9320660
## X383 -0.3539942 -0.3633234 -0.3502245 -0.2966615 2.9320660 -0.3406978
## X384 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X385 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X386 -0.3539942 2.7494745 -0.3502245 3.3673007 -0.3406978 -0.3406978
## X387 2.8219347 -0.3633234 -0.3502245 -0.2966615 -0.3406978 2.9320660
## X388 -0.3539942 2.7494745 -0.3502245 3.3673007 -0.3406978 -0.3406978
## X389 2.8219347 2.7494745 -0.3502245 3.3673007 -0.3406978 2.9320660
## X390 2.8219347 -0.3633234 -0.3502245 -0.2966615 -0.3406978 2.9320660
## X391 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X392 -0.3539942 -0.3633234 2.8523090 -0.2966615 -0.3406978 2.9320660
## X393 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X394 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X395 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X396 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X397 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X398 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X399 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X400 -0.3539942 -0.3633234 -0.3502245 3.3673007 -0.3406978 2.9320660
## X401 2.8219347 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X402 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 2.9320660
## X403 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X404 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X405 2.8219347 -0.3633234 -0.3502245 -0.2966615 -0.3406978 2.9320660
## X406 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X407 2.8219347 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X408 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X409 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X410 -0.3539942 2.7494745 -0.3502245 3.3673007 -0.3406978 -0.3406978
## X411 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X412 -0.3539942 2.7494745 -0.3502245 3.3673007 -0.3406978 -0.3406978
## X413 -0.3539942 2.7494745 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X414 -0.3539942 -0.3633234 -0.3502245 -0.2966615 2.9320660 -0.3406978
## X415 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X416 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X417 -0.3539942 2.7494745 -0.3502245 3.3673007 -0.3406978 -0.3406978
## X418 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X419 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X420 -0.3539942 -0.3633234 2.8523090 -0.2966615 -0.3406978 -0.3406978
## X421 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X422 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X423 -0.3539942 -0.3633234 -0.3502245 -0.2966615 2.9320660 -0.3406978
## X424 -0.3539942 -0.3633234 2.8523090 -0.2966615 2.9320660 -0.3406978
## X425 -0.3539942 -0.3633234 -0.3502245 -0.2966615 2.9320660 -0.3406978
## X426 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X427 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X428 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X429 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X430 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X431 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X432 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X433 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X434 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 2.9320660
## X435 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X436 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X437 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 2.9320660
## X438 -0.3539942 -0.3633234 -0.3502245 -0.2966615 2.9320660 -0.3406978
## X439 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X440 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X441 2.8219347 -0.3633234 -0.3502245 -0.2966615 -0.3406978 2.9320660
## X442 2.8219347 -0.3633234 2.8523090 -0.2966615 -0.3406978 -0.3406978
## X443 -0.3539942 2.7494745 -0.3502245 3.3673007 -0.3406978 -0.3406978
## X444 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X445 -0.3539942 2.7494745 2.8523090 -0.2966615 -0.3406978 -0.3406978
## X446 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X447 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X448 -0.3539942 2.7494745 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X449 2.8219347 -0.3633234 2.8523090 -0.2966615 -0.3406978 -0.3406978
## X450 2.8219347 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X451 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X452 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X453 2.8219347 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## X454 -0.3539942 -0.3633234 -0.3502245 -0.2966615 -0.3406978 -0.3406978
## FP146 FP147 FP148 FP149 FP150 FP151 FP152
## X1 -0.338774 -0.3426153 -0.3090656 -0.3151467 3.415804 -0.2428127 -0.2987526
## X2 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X3 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X4 2.948717 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X5 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X6 2.948717 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X7 -0.338774 -0.3426153 -0.3090656 3.1697891 3.415804 -0.2428127 -0.2987526
## X8 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X9 2.948717 2.9156563 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X10 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X11 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X12 2.948717 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X13 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X14 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X15 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X16 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X17 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 3.3437313
## X18 -0.338774 -0.3426153 -0.3090656 -0.3151467 3.415804 -0.2428127 -0.2987526
## X19 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X20 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X21 -0.338774 2.9156563 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X22 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X23 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X24 -0.338774 -0.3426153 -0.3090656 -0.3151467 3.415804 -0.2428127 -0.2987526
## X25 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 4.1140710 3.3437313
## X26 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 4.1140710 3.3437313
## X27 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X28 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X29 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X30 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X31 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X32 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X33 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X34 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X35 2.948717 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X36 -0.338774 -0.3426153 -0.3090656 3.1697891 -0.292449 -0.2428127 -0.2987526
## X37 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X38 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X39 2.948717 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X40 -0.338774 -0.3426153 3.2321563 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X41 2.948717 2.9156563 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X42 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X43 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X44 -0.338774 -0.3426153 -0.3090656 -0.3151467 3.415804 -0.2428127 -0.2987526
## X45 -0.338774 -0.3426153 3.2321563 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X46 2.948717 -0.3426153 -0.3090656 3.1697891 -0.292449 -0.2428127 -0.2987526
## X47 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X48 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X49 -0.338774 2.9156563 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X50 -0.338774 -0.3426153 -0.3090656 3.1697891 -0.292449 -0.2428127 -0.2987526
## X51 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X52 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X53 -0.338774 -0.3426153 -0.3090656 3.1697891 -0.292449 -0.2428127 -0.2987526
## X54 -0.338774 -0.3426153 3.2321563 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X55 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X56 2.948717 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X57 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X58 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 3.3437313
## X59 2.948717 2.9156563 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X60 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X61 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X62 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X63 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X64 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X65 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X66 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X67 -0.338774 -0.3426153 -0.3090656 -0.3151467 3.415804 -0.2428127 -0.2987526
## X68 2.948717 2.9156563 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X69 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X70 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X71 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X72 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X73 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X74 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 3.3437313
## X75 -0.338774 -0.3426153 -0.3090656 3.1697891 -0.292449 -0.2428127 -0.2987526
## X76 2.948717 2.9156563 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X77 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X78 -0.338774 -0.3426153 -0.3090656 3.1697891 -0.292449 -0.2428127 -0.2987526
## X79 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X80 -0.338774 2.9156563 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X81 2.948717 2.9156563 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X82 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X83 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X84 2.948717 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X85 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X86 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X87 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X88 -0.338774 -0.3426153 -0.3090656 3.1697891 -0.292449 -0.2428127 -0.2987526
## X89 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 4.1140710 3.3437313
## X90 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X91 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X92 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X93 2.948717 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X94 2.948717 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X95 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X96 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X97 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X98 -0.338774 -0.3426153 -0.3090656 3.1697891 -0.292449 -0.2428127 -0.2987526
## X99 2.948717 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X100 -0.338774 -0.3426153 -0.3090656 3.1697891 -0.292449 -0.2428127 -0.2987526
## X101 -0.338774 -0.3426153 -0.3090656 3.1697891 -0.292449 -0.2428127 -0.2987526
## X102 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X103 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X104 -0.338774 -0.3426153 -0.3090656 3.1697891 3.415804 -0.2428127 -0.2987526
## X105 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X106 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X107 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X108 2.948717 2.9156563 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X109 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 3.3437313
## X110 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X111 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X112 2.948717 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X113 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X114 -0.338774 -0.3426153 -0.3090656 3.1697891 -0.292449 -0.2428127 -0.2987526
## X115 -0.338774 -0.3426153 -0.3090656 3.1697891 -0.292449 -0.2428127 -0.2987526
## X116 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X117 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X118 -0.338774 -0.3426153 -0.3090656 3.1697891 -0.292449 -0.2428127 -0.2987526
## X119 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X120 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X121 2.948717 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X122 -0.338774 -0.3426153 -0.3090656 3.1697891 -0.292449 -0.2428127 -0.2987526
## X123 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 3.3437313
## X124 2.948717 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X125 -0.338774 -0.3426153 -0.3090656 3.1697891 -0.292449 -0.2428127 -0.2987526
## X126 -0.338774 -0.3426153 -0.3090656 3.1697891 -0.292449 -0.2428127 -0.2987526
## X127 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X128 -0.338774 -0.3426153 -0.3090656 3.1697891 -0.292449 -0.2428127 -0.2987526
## X129 -0.338774 -0.3426153 -0.3090656 3.1697891 -0.292449 -0.2428127 -0.2987526
## X130 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X131 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X132 -0.338774 -0.3426153 -0.3090656 3.1697891 -0.292449 -0.2428127 -0.2987526
## X133 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X134 2.948717 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X135 -0.338774 -0.3426153 -0.3090656 3.1697891 -0.292449 -0.2428127 -0.2987526
## X136 -0.338774 -0.3426153 -0.3090656 3.1697891 -0.292449 -0.2428127 -0.2987526
## X137 -0.338774 -0.3426153 -0.3090656 3.1697891 -0.292449 -0.2428127 -0.2987526
## X138 2.948717 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X139 -0.338774 -0.3426153 -0.3090656 3.1697891 -0.292449 -0.2428127 -0.2987526
## X140 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X141 -0.338774 -0.3426153 -0.3090656 3.1697891 -0.292449 -0.2428127 -0.2987526
## X142 -0.338774 -0.3426153 -0.3090656 3.1697891 -0.292449 -0.2428127 -0.2987526
## X143 -0.338774 -0.3426153 -0.3090656 3.1697891 -0.292449 -0.2428127 -0.2987526
## X144 -0.338774 -0.3426153 -0.3090656 3.1697891 -0.292449 -0.2428127 -0.2987526
## X145 -0.338774 -0.3426153 -0.3090656 3.1697891 -0.292449 -0.2428127 -0.2987526
## X146 -0.338774 -0.3426153 -0.3090656 3.1697891 -0.292449 -0.2428127 -0.2987526
## X147 -0.338774 -0.3426153 -0.3090656 3.1697891 -0.292449 -0.2428127 -0.2987526
## X148 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X149 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X150 -0.338774 -0.3426153 -0.3090656 3.1697891 -0.292449 -0.2428127 -0.2987526
## X151 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X152 -0.338774 -0.3426153 -0.3090656 -0.3151467 3.415804 -0.2428127 -0.2987526
## X153 -0.338774 -0.3426153 -0.3090656 3.1697891 -0.292449 -0.2428127 -0.2987526
## X154 -0.338774 -0.3426153 -0.3090656 3.1697891 -0.292449 -0.2428127 -0.2987526
## X155 -0.338774 -0.3426153 -0.3090656 3.1697891 -0.292449 -0.2428127 -0.2987526
## X156 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X157 -0.338774 -0.3426153 -0.3090656 3.1697891 -0.292449 -0.2428127 -0.2987526
## X158 -0.338774 -0.3426153 -0.3090656 3.1697891 -0.292449 -0.2428127 -0.2987526
## X159 -0.338774 -0.3426153 -0.3090656 3.1697891 -0.292449 -0.2428127 -0.2987526
## X160 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X161 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X162 2.948717 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X163 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X164 2.948717 2.9156563 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X165 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X166 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X167 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X168 -0.338774 -0.3426153 3.2321563 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X169 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 3.3437313
## X170 -0.338774 2.9156563 -0.3090656 3.1697891 -0.292449 -0.2428127 -0.2987526
## X171 2.948717 2.9156563 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X172 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X173 2.948717 -0.3426153 3.2321563 -0.3151467 3.415804 -0.2428127 3.3437313
## X174 -0.338774 -0.3426153 3.2321563 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X175 2.948717 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X176 -0.338774 -0.3426153 -0.3090656 -0.3151467 3.415804 -0.2428127 -0.2987526
## X177 2.948717 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X178 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X179 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X180 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X181 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X182 2.948717 2.9156563 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X183 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X184 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X185 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X186 -0.338774 -0.3426153 -0.3090656 3.1697891 -0.292449 -0.2428127 -0.2987526
## X187 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X188 2.948717 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X189 -0.338774 -0.3426153 -0.3090656 -0.3151467 3.415804 -0.2428127 -0.2987526
## X190 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 3.3437313
## X191 2.948717 2.9156563 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X192 -0.338774 -0.3426153 -0.3090656 3.1697891 -0.292449 -0.2428127 -0.2987526
## X193 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X194 2.948717 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X195 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X196 2.948717 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X197 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 3.3437313
## X198 2.948717 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X199 2.948717 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X200 -0.338774 -0.3426153 -0.3090656 3.1697891 -0.292449 -0.2428127 -0.2987526
## X201 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X202 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X203 2.948717 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X204 2.948717 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 3.3437313
## X205 2.948717 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X206 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X207 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 3.3437313
## X208 -0.338774 -0.3426153 -0.3090656 3.1697891 -0.292449 -0.2428127 -0.2987526
## X209 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X210 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X211 -0.338774 -0.3426153 -0.3090656 3.1697891 -0.292449 -0.2428127 -0.2987526
## X212 2.948717 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X213 -0.338774 -0.3426153 -0.3090656 3.1697891 -0.292449 -0.2428127 -0.2987526
## X214 2.948717 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X215 2.948717 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X216 -0.338774 -0.3426153 -0.3090656 3.1697891 -0.292449 -0.2428127 -0.2987526
## X217 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X218 -0.338774 2.9156563 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X219 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X220 -0.338774 -0.3426153 -0.3090656 3.1697891 -0.292449 -0.2428127 -0.2987526
## X221 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X222 2.948717 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X223 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X224 -0.338774 -0.3426153 -0.3090656 3.1697891 -0.292449 -0.2428127 -0.2987526
## X225 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X226 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X227 -0.338774 -0.3426153 -0.3090656 3.1697891 -0.292449 -0.2428127 -0.2987526
## X228 -0.338774 -0.3426153 -0.3090656 3.1697891 -0.292449 -0.2428127 -0.2987526
## X229 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X230 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X231 -0.338774 -0.3426153 -0.3090656 3.1697891 -0.292449 -0.2428127 -0.2987526
## X232 -0.338774 -0.3426153 -0.3090656 3.1697891 -0.292449 -0.2428127 -0.2987526
## X233 -0.338774 -0.3426153 -0.3090656 3.1697891 3.415804 -0.2428127 -0.2987526
## X234 2.948717 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X235 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X236 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 3.3437313
## X237 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X238 2.948717 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X239 -0.338774 2.9156563 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X240 2.948717 2.9156563 3.2321563 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X241 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X242 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X243 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X244 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 4.1140710 3.3437313
## X245 -0.338774 2.9156563 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X246 2.948717 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X247 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 4.1140710 3.3437313
## X248 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X249 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X250 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X251 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X252 -0.338774 -0.3426153 -0.3090656 -0.3151467 3.415804 -0.2428127 -0.2987526
## X253 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X254 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X255 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X256 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X257 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X258 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X259 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X260 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X261 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 4.1140710 3.3437313
## X262 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X263 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X264 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X265 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X266 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X267 -0.338774 -0.3426153 -0.3090656 3.1697891 -0.292449 -0.2428127 -0.2987526
## X268 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X269 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X270 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X271 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X272 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X273 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X274 2.948717 -0.3426153 -0.3090656 3.1697891 -0.292449 -0.2428127 -0.2987526
## X275 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X276 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X277 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X278 -0.338774 -0.3426153 -0.3090656 -0.3151467 3.415804 -0.2428127 3.3437313
## X279 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X280 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X281 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X282 -0.338774 2.9156563 -0.3090656 3.1697891 3.415804 -0.2428127 -0.2987526
## X283 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X284 -0.338774 -0.3426153 -0.3090656 -0.3151467 3.415804 -0.2428127 -0.2987526
## X285 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X286 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 4.1140710 3.3437313
## X287 -0.338774 2.9156563 3.2321563 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X288 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X289 2.948717 2.9156563 3.2321563 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X290 2.948717 -0.3426153 -0.3090656 3.1697891 3.415804 -0.2428127 -0.2987526
## X291 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X292 -0.338774 -0.3426153 -0.3090656 -0.3151467 3.415804 4.1140710 3.3437313
## X293 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X294 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X295 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X296 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 4.1140710 3.3437313
## X297 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X298 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X299 2.948717 -0.3426153 3.2321563 3.1697891 -0.292449 -0.2428127 -0.2987526
## X300 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X301 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X302 -0.338774 2.9156563 -0.3090656 -0.3151467 -0.292449 4.1140710 -0.2987526
## X303 -0.338774 -0.3426153 3.2321563 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X304 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 4.1140710 3.3437313
## X305 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 4.1140710 3.3437313
## X306 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X307 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X308 2.948717 2.9156563 3.2321563 3.1697891 -0.292449 -0.2428127 -0.2987526
## X309 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X310 2.948717 2.9156563 3.2321563 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X311 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X312 2.948717 2.9156563 3.2321563 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X313 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X314 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X315 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X316 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X317 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X318 -0.338774 2.9156563 -0.3090656 3.1697891 -0.292449 -0.2428127 -0.2987526
## X319 2.948717 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X320 -0.338774 -0.3426153 3.2321563 -0.3151467 3.415804 -0.2428127 -0.2987526
## X321 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X322 -0.338774 -0.3426153 -0.3090656 -0.3151467 3.415804 -0.2428127 -0.2987526
## X323 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X324 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X325 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X326 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X327 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X328 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X329 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X330 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X331 -0.338774 -0.3426153 3.2321563 -0.3151467 -0.292449 4.1140710 3.3437313
## X332 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X333 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X334 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X335 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X336 2.948717 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X337 -0.338774 -0.3426153 -0.3090656 -0.3151467 3.415804 4.1140710 3.3437313
## X338 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X339 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X340 -0.338774 -0.3426153 3.2321563 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X341 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X342 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X343 2.948717 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X344 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 3.3437313
## X345 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X346 -0.338774 -0.3426153 3.2321563 -0.3151467 -0.292449 -0.2428127 3.3437313
## X347 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X348 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X349 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X350 -0.338774 -0.3426153 -0.3090656 -0.3151467 3.415804 -0.2428127 -0.2987526
## X351 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X352 2.948717 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 3.3437313
## X353 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 4.1140710 3.3437313
## X354 2.948717 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X355 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X356 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X357 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 3.3437313
## X358 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X359 -0.338774 -0.3426153 3.2321563 -0.3151467 -0.292449 -0.2428127 3.3437313
## X360 2.948717 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X361 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X362 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X363 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 4.1140710 3.3437313
## X364 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X365 -0.338774 2.9156563 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X366 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X367 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X368 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X369 -0.338774 2.9156563 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X370 -0.338774 -0.3426153 3.2321563 -0.3151467 -0.292449 4.1140710 3.3437313
## X371 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X372 -0.338774 -0.3426153 3.2321563 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X373 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X374 -0.338774 2.9156563 -0.3090656 3.1697891 3.415804 -0.2428127 -0.2987526
## X375 -0.338774 2.9156563 -0.3090656 -0.3151467 3.415804 -0.2428127 -0.2987526
## X376 2.948717 2.9156563 3.2321563 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X377 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X378 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X379 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X380 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X381 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X382 -0.338774 -0.3426153 -0.3090656 -0.3151467 3.415804 4.1140710 3.3437313
## X383 2.948717 2.9156563 3.2321563 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X384 2.948717 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X385 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X386 -0.338774 -0.3426153 -0.3090656 -0.3151467 3.415804 4.1140710 3.3437313
## X387 -0.338774 -0.3426153 -0.3090656 3.1697891 -0.292449 -0.2428127 -0.2987526
## X388 -0.338774 -0.3426153 3.2321563 -0.3151467 -0.292449 4.1140710 3.3437313
## X389 -0.338774 -0.3426153 -0.3090656 -0.3151467 3.415804 4.1140710 3.3437313
## X390 -0.338774 -0.3426153 -0.3090656 3.1697891 -0.292449 -0.2428127 -0.2987526
## X391 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X392 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X393 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X394 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X395 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X396 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X397 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X398 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X399 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X400 -0.338774 2.9156563 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X401 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X402 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X403 -0.338774 -0.3426153 3.2321563 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X404 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X405 -0.338774 -0.3426153 -0.3090656 -0.3151467 3.415804 -0.2428127 -0.2987526
## X406 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X407 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X408 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X409 2.948717 -0.3426153 3.2321563 3.1697891 -0.292449 -0.2428127 -0.2987526
## X410 -0.338774 -0.3426153 3.2321563 -0.3151467 -0.292449 4.1140710 3.3437313
## X411 2.948717 2.9156563 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X412 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 4.1140710 3.3437313
## X413 -0.338774 -0.3426153 -0.3090656 -0.3151467 3.415804 -0.2428127 3.3437313
## X414 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X415 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X416 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X417 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 4.1140710 3.3437313
## X418 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X419 -0.338774 2.9156563 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X420 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X421 -0.338774 -0.3426153 3.2321563 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X422 -0.338774 2.9156563 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X423 2.948717 2.9156563 3.2321563 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X424 2.948717 -0.3426153 -0.3090656 3.1697891 3.415804 -0.2428127 -0.2987526
## X425 2.948717 2.9156563 3.2321563 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X426 2.948717 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X427 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X428 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X429 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X430 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X431 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X432 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X433 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X434 2.948717 -0.3426153 -0.3090656 3.1697891 3.415804 -0.2428127 -0.2987526
## X435 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X436 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X437 -0.338774 2.9156563 3.2321563 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X438 2.948717 2.9156563 3.2321563 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X439 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X440 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X441 -0.338774 -0.3426153 -0.3090656 3.1697891 -0.292449 -0.2428127 -0.2987526
## X442 -0.338774 2.9156563 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X443 -0.338774 -0.3426153 3.2321563 -0.3151467 -0.292449 4.1140710 3.3437313
## X444 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X445 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X446 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X447 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X448 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X449 -0.338774 2.9156563 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X450 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X451 -0.338774 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X452 -0.338774 2.9156563 3.2321563 3.1697891 -0.292449 -0.2428127 -0.2987526
## X453 -0.338774 2.9156563 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## X454 2.948717 -0.3426153 -0.3090656 -0.3151467 -0.292449 -0.2428127 -0.2987526
## FP153 FP155 FP156 FP157 FP158 FP159
## X1 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X2 3.4407687 -0.2729429 -0.2751584 -0.2570485 -0.2379224 3.6304485
## X3 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X4 -0.2903271 3.6599168 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X5 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X6 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X7 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X8 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X9 -0.2903271 3.6599168 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X10 -0.2903271 -0.2729429 -0.2751584 -0.2570485 4.1986310 -0.2751584
## X11 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X12 -0.2903271 3.6599168 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X13 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X14 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X15 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X16 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X17 -0.2903271 -0.2729429 3.6304485 -0.2570485 -0.2379224 -0.2751584
## X18 3.4407687 -0.2729429 -0.2751584 -0.2570485 -0.2379224 3.6304485
## X19 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X20 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X21 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X22 3.4407687 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X23 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X24 3.4407687 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X25 -0.2903271 -0.2729429 3.6304485 -0.2570485 -0.2379224 3.6304485
## X26 -0.2903271 -0.2729429 3.6304485 -0.2570485 4.1986310 3.6304485
## X27 3.4407687 -0.2729429 -0.2751584 -0.2570485 -0.2379224 3.6304485
## X28 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X29 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X30 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X31 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X32 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X33 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X34 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X35 -0.2903271 3.6599168 -0.2751584 3.8862252 -0.2379224 -0.2751584
## X36 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X37 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X38 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X39 -0.2903271 3.6599168 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X40 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X41 -0.2903271 3.6599168 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X42 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X43 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X44 3.4407687 -0.2729429 -0.2751584 -0.2570485 -0.2379224 3.6304485
## X45 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X46 3.4407687 3.6599168 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X47 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X48 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X49 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X50 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X51 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X52 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X53 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X54 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X55 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X56 -0.2903271 3.6599168 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X57 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X58 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X59 -0.2903271 -0.2729429 -0.2751584 3.8862252 -0.2379224 -0.2751584
## X60 3.4407687 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X61 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X62 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X63 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X64 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X65 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X66 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X67 3.4407687 -0.2729429 -0.2751584 -0.2570485 -0.2379224 3.6304485
## X68 -0.2903271 3.6599168 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X69 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X70 3.4407687 -0.2729429 -0.2751584 -0.2570485 -0.2379224 3.6304485
## X71 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X72 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X73 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X74 -0.2903271 -0.2729429 3.6304485 -0.2570485 -0.2379224 -0.2751584
## X75 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X76 -0.2903271 3.6599168 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X77 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X78 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X79 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X80 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X81 -0.2903271 3.6599168 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X82 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X83 3.4407687 -0.2729429 -0.2751584 -0.2570485 -0.2379224 3.6304485
## X84 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X85 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X86 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X87 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X88 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X89 -0.2903271 -0.2729429 3.6304485 -0.2570485 4.1986310 3.6304485
## X90 -0.2903271 -0.2729429 3.6304485 -0.2570485 -0.2379224 -0.2751584
## X91 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X92 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X93 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X94 -0.2903271 3.6599168 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X95 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X96 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X97 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X98 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X99 -0.2903271 3.6599168 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X100 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X101 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X102 3.4407687 -0.2729429 -0.2751584 -0.2570485 -0.2379224 3.6304485
## X103 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X104 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X105 3.4407687 -0.2729429 3.6304485 -0.2570485 -0.2379224 -0.2751584
## X106 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X107 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X108 -0.2903271 3.6599168 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X109 -0.2903271 -0.2729429 3.6304485 -0.2570485 -0.2379224 -0.2751584
## X110 3.4407687 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X111 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X112 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X113 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X114 3.4407687 -0.2729429 -0.2751584 3.8862252 -0.2379224 -0.2751584
## X115 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X116 -0.2903271 -0.2729429 -0.2751584 -0.2570485 4.1986310 -0.2751584
## X117 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X118 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X119 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X120 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X121 -0.2903271 -0.2729429 -0.2751584 3.8862252 -0.2379224 -0.2751584
## X122 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X123 3.4407687 -0.2729429 3.6304485 -0.2570485 -0.2379224 -0.2751584
## X124 -0.2903271 3.6599168 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X125 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X126 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X127 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X128 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X129 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X130 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X131 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X132 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X133 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X134 -0.2903271 3.6599168 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X135 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X136 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X137 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X138 -0.2903271 3.6599168 -0.2751584 3.8862252 -0.2379224 -0.2751584
## X139 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X140 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X141 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X142 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X143 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X144 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X145 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X146 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X147 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X148 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X149 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X150 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X151 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X152 3.4407687 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X153 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X154 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X155 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X156 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X157 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X158 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X159 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X160 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X161 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X162 -0.2903271 3.6599168 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X163 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X164 -0.2903271 3.6599168 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X165 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X166 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X167 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X168 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 3.6304485
## X169 -0.2903271 -0.2729429 3.6304485 -0.2570485 -0.2379224 -0.2751584
## X170 3.4407687 -0.2729429 -0.2751584 3.8862252 -0.2379224 -0.2751584
## X171 -0.2903271 3.6599168 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X172 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X173 3.4407687 -0.2729429 3.6304485 -0.2570485 -0.2379224 3.6304485
## X174 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X175 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X176 3.4407687 -0.2729429 -0.2751584 -0.2570485 -0.2379224 3.6304485
## X177 -0.2903271 3.6599168 -0.2751584 3.8862252 -0.2379224 -0.2751584
## X178 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X179 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X180 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X181 3.4407687 -0.2729429 -0.2751584 -0.2570485 -0.2379224 3.6304485
## X182 -0.2903271 3.6599168 -0.2751584 3.8862252 -0.2379224 -0.2751584
## X183 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X184 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X185 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X186 3.4407687 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X187 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X188 -0.2903271 3.6599168 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X189 3.4407687 -0.2729429 -0.2751584 -0.2570485 -0.2379224 3.6304485
## X190 -0.2903271 -0.2729429 3.6304485 -0.2570485 -0.2379224 3.6304485
## X191 -0.2903271 3.6599168 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X192 -0.2903271 -0.2729429 -0.2751584 3.8862252 -0.2379224 -0.2751584
## X193 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X194 -0.2903271 3.6599168 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X195 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X196 -0.2903271 3.6599168 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X197 -0.2903271 -0.2729429 3.6304485 -0.2570485 -0.2379224 -0.2751584
## X198 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X199 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X200 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X201 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X202 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X203 -0.2903271 3.6599168 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X204 -0.2903271 3.6599168 3.6304485 3.8862252 -0.2379224 -0.2751584
## X205 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X206 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X207 -0.2903271 -0.2729429 3.6304485 -0.2570485 -0.2379224 3.6304485
## X208 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X209 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X210 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X211 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X212 -0.2903271 -0.2729429 -0.2751584 3.8862252 -0.2379224 -0.2751584
## X213 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X214 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X215 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X216 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X217 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X218 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X219 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X220 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X221 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X222 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X223 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X224 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X225 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X226 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X227 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X228 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X229 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X230 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X231 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X232 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X233 -0.2903271 -0.2729429 -0.2751584 -0.2570485 4.1986310 -0.2751584
## X234 -0.2903271 3.6599168 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X235 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X236 -0.2903271 -0.2729429 3.6304485 -0.2570485 -0.2379224 -0.2751584
## X237 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X238 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X239 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X240 -0.2903271 3.6599168 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X241 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X242 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X243 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X244 -0.2903271 -0.2729429 3.6304485 -0.2570485 -0.2379224 3.6304485
## X245 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X246 -0.2903271 3.6599168 -0.2751584 3.8862252 -0.2379224 -0.2751584
## X247 -0.2903271 -0.2729429 3.6304485 -0.2570485 -0.2379224 3.6304485
## X248 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X249 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X250 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X251 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X252 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X253 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X254 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X255 3.4407687 -0.2729429 -0.2751584 -0.2570485 -0.2379224 3.6304485
## X256 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X257 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X258 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X259 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X260 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X261 3.4407687 -0.2729429 3.6304485 -0.2570485 -0.2379224 -0.2751584
## X262 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X263 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X264 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X265 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X266 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X267 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X268 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X269 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X270 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X271 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X272 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X273 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X274 3.4407687 3.6599168 -0.2751584 -0.2570485 4.1986310 -0.2751584
## X275 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X276 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X277 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X278 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X279 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X280 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X281 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X282 3.4407687 -0.2729429 -0.2751584 3.8862252 4.1986310 -0.2751584
## X283 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X284 3.4407687 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X285 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X286 -0.2903271 -0.2729429 3.6304485 -0.2570485 -0.2379224 3.6304485
## X287 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X288 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X289 -0.2903271 3.6599168 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X290 3.4407687 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X291 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X292 -0.2903271 -0.2729429 3.6304485 3.8862252 -0.2379224 3.6304485
## X293 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X294 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X295 -0.2903271 -0.2729429 -0.2751584 -0.2570485 4.1986310 -0.2751584
## X296 -0.2903271 -0.2729429 3.6304485 -0.2570485 4.1986310 3.6304485
## X297 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X298 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X299 -0.2903271 3.6599168 -0.2751584 -0.2570485 4.1986310 -0.2751584
## X300 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X301 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X302 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X303 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 3.6304485
## X304 -0.2903271 -0.2729429 3.6304485 -0.2570485 -0.2379224 3.6304485
## X305 -0.2903271 -0.2729429 3.6304485 -0.2570485 4.1986310 3.6304485
## X306 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X307 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X308 -0.2903271 -0.2729429 -0.2751584 3.8862252 -0.2379224 -0.2751584
## X309 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X310 -0.2903271 3.6599168 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X311 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X312 -0.2903271 3.6599168 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X313 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X314 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X315 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X316 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X317 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X318 3.4407687 -0.2729429 -0.2751584 3.8862252 -0.2379224 -0.2751584
## X319 -0.2903271 -0.2729429 -0.2751584 3.8862252 -0.2379224 -0.2751584
## X320 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X321 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X322 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X323 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 3.6304485
## X324 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X325 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X326 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X327 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X328 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X329 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X330 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X331 -0.2903271 -0.2729429 3.6304485 -0.2570485 -0.2379224 -0.2751584
## X332 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X333 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X334 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X335 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X336 -0.2903271 3.6599168 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X337 -0.2903271 -0.2729429 3.6304485 -0.2570485 -0.2379224 3.6304485
## X338 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X339 -0.2903271 -0.2729429 -0.2751584 3.8862252 -0.2379224 -0.2751584
## X340 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X341 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X342 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X343 -0.2903271 3.6599168 -0.2751584 3.8862252 -0.2379224 -0.2751584
## X344 3.4407687 -0.2729429 3.6304485 -0.2570485 -0.2379224 -0.2751584
## X345 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X346 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X347 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X348 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X349 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X350 3.4407687 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X351 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X352 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X353 -0.2903271 -0.2729429 3.6304485 -0.2570485 4.1986310 3.6304485
## X354 -0.2903271 3.6599168 -0.2751584 3.8862252 -0.2379224 -0.2751584
## X355 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X356 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X357 -0.2903271 -0.2729429 3.6304485 3.8862252 -0.2379224 -0.2751584
## X358 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X359 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X360 -0.2903271 3.6599168 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X361 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X362 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X363 -0.2903271 -0.2729429 3.6304485 -0.2570485 -0.2379224 3.6304485
## X364 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X365 -0.2903271 -0.2729429 -0.2751584 -0.2570485 4.1986310 -0.2751584
## X366 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X367 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X368 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X369 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X370 -0.2903271 -0.2729429 3.6304485 -0.2570485 -0.2379224 3.6304485
## X371 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X372 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X373 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X374 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X375 3.4407687 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X376 -0.2903271 3.6599168 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X377 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X378 3.4407687 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X379 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X380 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X381 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X382 3.4407687 -0.2729429 3.6304485 -0.2570485 4.1986310 3.6304485
## X383 -0.2903271 3.6599168 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X384 -0.2903271 3.6599168 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X385 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X386 -0.2903271 -0.2729429 3.6304485 -0.2570485 -0.2379224 3.6304485
## X387 3.4407687 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X388 -0.2903271 -0.2729429 3.6304485 -0.2570485 -0.2379224 3.6304485
## X389 -0.2903271 -0.2729429 3.6304485 -0.2570485 -0.2379224 3.6304485
## X390 3.4407687 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X391 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X392 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X393 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X394 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X395 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X396 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X397 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X398 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X399 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X400 -0.2903271 -0.2729429 -0.2751584 -0.2570485 4.1986310 -0.2751584
## X401 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X402 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X403 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X404 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X405 3.4407687 -0.2729429 -0.2751584 -0.2570485 4.1986310 -0.2751584
## X406 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X407 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X408 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X409 -0.2903271 3.6599168 -0.2751584 -0.2570485 4.1986310 -0.2751584
## X410 -0.2903271 -0.2729429 3.6304485 -0.2570485 -0.2379224 3.6304485
## X411 -0.2903271 3.6599168 -0.2751584 3.8862252 -0.2379224 -0.2751584
## X412 -0.2903271 -0.2729429 3.6304485 -0.2570485 -0.2379224 3.6304485
## X413 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X414 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X415 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X416 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X417 -0.2903271 -0.2729429 3.6304485 -0.2570485 -0.2379224 3.6304485
## X418 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X419 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X420 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X421 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X422 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X423 -0.2903271 3.6599168 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X424 3.4407687 3.6599168 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X425 -0.2903271 3.6599168 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X426 -0.2903271 3.6599168 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X427 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X428 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X429 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X430 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X431 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X432 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X433 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X434 3.4407687 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X435 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X436 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X437 -0.2903271 -0.2729429 -0.2751584 3.8862252 -0.2379224 -0.2751584
## X438 -0.2903271 3.6599168 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X439 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X440 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X441 3.4407687 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X442 3.4407687 -0.2729429 -0.2751584 3.8862252 -0.2379224 -0.2751584
## X443 -0.2903271 -0.2729429 3.6304485 -0.2570485 -0.2379224 3.6304485
## X444 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X445 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X446 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X447 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X448 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X449 3.4407687 -0.2729429 -0.2751584 3.8862252 -0.2379224 -0.2751584
## X450 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X451 -0.2903271 -0.2729429 -0.2751584 -0.2570485 -0.2379224 -0.2751584
## X452 -0.2903271 -0.2729429 -0.2751584 3.8862252 -0.2379224 -0.2751584
## X453 -0.2903271 -0.2729429 -0.2751584 3.8862252 -0.2379224 -0.2751584
## X454 -0.2903271 3.6599168 -0.2751584 3.8862252 -0.2379224 -0.2751584
## FP160 FP161 FP162 FP163 FP164 FP165
## X1 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X2 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X3 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 1.3647334
## X4 -0.2707144 -0.2662167 -0.9900597 -0.9532482 0.7696371 1.3647334
## X5 -0.2707144 -0.2662167 -0.9900597 -0.9532482 -1.2979474 -0.7319733
## X6 -0.2707144 -0.2662167 -0.9900597 1.0479417 -1.2979474 1.3647334
## X7 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X8 -0.2707144 -0.2662167 -0.9900597 1.0479417 -1.2979474 1.3647334
## X9 -0.2707144 -0.2662167 -0.9900597 1.0479417 0.7696371 1.3647334
## X10 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 1.3647334
## X11 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 1.3647334
## X12 -0.2707144 -0.2662167 -0.9900597 1.0479417 0.7696371 -0.7319733
## X13 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X14 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X15 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X16 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 1.3647334
## X17 -0.2707144 -0.2662167 -0.9900597 1.0479417 -1.2979474 -0.7319733
## X18 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X19 -0.2707144 -0.2662167 -0.9900597 1.0479417 -1.2979474 -0.7319733
## X20 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X21 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 1.3647334
## X22 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X23 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 1.3647334
## X24 -0.2707144 -0.2662167 -0.9900597 1.0479417 -1.2979474 -0.7319733
## X25 3.6900455 -0.2662167 1.0089780 1.0479417 0.7696371 -0.7319733
## X26 3.6900455 -0.2662167 1.0089780 1.0479417 0.7696371 1.3647334
## X27 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X28 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X29 -0.2707144 -0.2662167 -0.9900597 1.0479417 0.7696371 1.3647334
## X30 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X31 -0.2707144 -0.2662167 -0.9900597 -0.9532482 -1.2979474 -0.7319733
## X32 -0.2707144 -0.2662167 -0.9900597 -0.9532482 -1.2979474 -0.7319733
## X33 -0.2707144 -0.2662167 -0.9900597 -0.9532482 -1.2979474 -0.7319733
## X34 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X35 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 1.3647334
## X36 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X37 -0.2707144 -0.2662167 -0.9900597 -0.9532482 -1.2979474 -0.7319733
## X38 -0.2707144 -0.2662167 -0.9900597 1.0479417 -1.2979474 1.3647334
## X39 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 1.3647334
## X40 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 1.3647334
## X41 -0.2707144 -0.2662167 -0.9900597 1.0479417 0.7696371 1.3647334
## X42 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 1.3647334
## X43 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X44 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X45 -0.2707144 -0.2662167 -0.9900597 -0.9532482 -1.2979474 -0.7319733
## X46 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 -0.7319733
## X47 -0.2707144 -0.2662167 -0.9900597 -0.9532482 -1.2979474 -0.7319733
## X48 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X49 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X50 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 1.3647334
## X51 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X52 -0.2707144 -0.2662167 -0.9900597 -0.9532482 -1.2979474 -0.7319733
## X53 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X54 -0.2707144 -0.2662167 -0.9900597 -0.9532482 -1.2979474 -0.7319733
## X55 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X56 -0.2707144 -0.2662167 -0.9900597 1.0479417 0.7696371 -0.7319733
## X57 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 1.3647334
## X58 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X59 -0.2707144 -0.2662167 -0.9900597 1.0479417 0.7696371 -0.7319733
## X60 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 1.3647334
## X61 -0.2707144 -0.2662167 -0.9900597 1.0479417 -1.2979474 1.3647334
## X62 -0.2707144 -0.2662167 -0.9900597 1.0479417 -1.2979474 1.3647334
## X63 -0.2707144 -0.2662167 -0.9900597 -0.9532482 0.7696371 -0.7319733
## X64 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X65 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 1.3647334
## X66 -0.2707144 -0.2662167 -0.9900597 -0.9532482 -1.2979474 -0.7319733
## X67 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 1.3647334
## X68 -0.2707144 -0.2662167 -0.9900597 1.0479417 0.7696371 1.3647334
## X69 -0.2707144 -0.2662167 -0.9900597 -0.9532482 -1.2979474 -0.7319733
## X70 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X71 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X72 -0.2707144 -0.2662167 -0.9900597 -0.9532482 -1.2979474 -0.7319733
## X73 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X74 -0.2707144 -0.2662167 -0.9900597 -0.9532482 -1.2979474 1.3647334
## X75 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X76 -0.2707144 -0.2662167 -0.9900597 1.0479417 0.7696371 1.3647334
## X77 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X78 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X79 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X80 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 1.3647334
## X81 -0.2707144 -0.2662167 -0.9900597 1.0479417 0.7696371 1.3647334
## X82 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X83 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X84 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 1.3647334
## X85 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X86 -0.2707144 -0.2662167 -0.9900597 -0.9532482 -1.2979474 -0.7319733
## X87 -0.2707144 -0.2662167 -0.9900597 -0.9532482 -1.2979474 -0.7319733
## X88 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 1.3647334
## X89 3.6900455 -0.2662167 1.0089780 1.0479417 0.7696371 1.3647334
## X90 -0.2707144 -0.2662167 -0.9900597 1.0479417 -1.2979474 -0.7319733
## X91 -0.2707144 3.7523881 -0.9900597 1.0479417 -1.2979474 1.3647334
## X92 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X93 -0.2707144 -0.2662167 -0.9900597 -0.9532482 -1.2979474 -0.7319733
## X94 -0.2707144 -0.2662167 -0.9900597 1.0479417 -1.2979474 1.3647334
## X95 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 -0.7319733
## X96 -0.2707144 3.7523881 1.0089780 1.0479417 0.7696371 1.3647334
## X97 -0.2707144 -0.2662167 -0.9900597 -0.9532482 -1.2979474 -0.7319733
## X98 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X99 -0.2707144 -0.2662167 -0.9900597 1.0479417 0.7696371 1.3647334
## X100 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X101 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X102 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X103 -0.2707144 -0.2662167 -0.9900597 1.0479417 -1.2979474 1.3647334
## X104 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X105 3.6900455 -0.2662167 -0.9900597 1.0479417 0.7696371 -0.7319733
## X106 -0.2707144 -0.2662167 -0.9900597 -0.9532482 -1.2979474 -0.7319733
## X107 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X108 -0.2707144 -0.2662167 -0.9900597 1.0479417 0.7696371 1.3647334
## X109 -0.2707144 -0.2662167 -0.9900597 -0.9532482 -1.2979474 -0.7319733
## X110 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 1.3647334
## X111 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 1.3647334
## X112 -0.2707144 -0.2662167 -0.9900597 -0.9532482 0.7696371 -0.7319733
## X113 -0.2707144 -0.2662167 -0.9900597 1.0479417 -1.2979474 1.3647334
## X114 -0.2707144 -0.2662167 -0.9900597 1.0479417 0.7696371 -0.7319733
## X115 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X116 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 1.3647334
## X117 -0.2707144 -0.2662167 -0.9900597 -0.9532482 -1.2979474 -0.7319733
## X118 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X119 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X120 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X121 -0.2707144 -0.2662167 -0.9900597 -0.9532482 -1.2979474 -0.7319733
## X122 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X123 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 -0.7319733
## X124 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 1.3647334
## X125 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X126 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X127 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X128 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X129 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X130 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X131 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X132 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X133 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X134 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 1.3647334
## X135 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X136 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X137 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X138 -0.2707144 -0.2662167 -0.9900597 -0.9532482 0.7696371 -0.7319733
## X139 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X140 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X141 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X142 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X143 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X144 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X145 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X146 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X147 -0.2707144 -0.2662167 -0.9900597 -0.9532482 0.7696371 -0.7319733
## X148 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X149 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X150 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X151 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X152 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X153 -0.2707144 -0.2662167 -0.9900597 -0.9532482 0.7696371 -0.7319733
## X154 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X155 -0.2707144 -0.2662167 -0.9900597 -0.9532482 0.7696371 -0.7319733
## X156 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X157 -0.2707144 -0.2662167 -0.9900597 -0.9532482 0.7696371 -0.7319733
## X158 -0.2707144 -0.2662167 -0.9900597 -0.9532482 0.7696371 -0.7319733
## X159 -0.2707144 -0.2662167 -0.9900597 -0.9532482 -1.2979474 -0.7319733
## X160 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X161 -0.2707144 -0.2662167 -0.9900597 -0.9532482 -1.2979474 -0.7319733
## X162 -0.2707144 -0.2662167 -0.9900597 1.0479417 0.7696371 -0.7319733
## X163 -0.2707144 -0.2662167 -0.9900597 -0.9532482 0.7696371 -0.7319733
## X164 -0.2707144 -0.2662167 -0.9900597 1.0479417 0.7696371 1.3647334
## X165 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X166 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X167 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X168 3.6900455 -0.2662167 -0.9900597 -0.9532482 -1.2979474 -0.7319733
## X169 -0.2707144 -0.2662167 -0.9900597 -0.9532482 -1.2979474 -0.7319733
## X170 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 -0.7319733
## X171 -0.2707144 -0.2662167 -0.9900597 1.0479417 0.7696371 1.3647334
## X172 -0.2707144 -0.2662167 -0.9900597 -0.9532482 -1.2979474 -0.7319733
## X173 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 1.3647334
## X174 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 1.3647334
## X175 -0.2707144 -0.2662167 -0.9900597 -0.9532482 -1.2979474 1.3647334
## X176 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X177 3.6900455 -0.2662167 -0.9900597 1.0479417 0.7696371 1.3647334
## X178 -0.2707144 -0.2662167 -0.9900597 -0.9532482 -1.2979474 -0.7319733
## X179 -0.2707144 -0.2662167 -0.9900597 1.0479417 -1.2979474 1.3647334
## X180 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X181 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X182 -0.2707144 -0.2662167 -0.9900597 1.0479417 0.7696371 1.3647334
## X183 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X184 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X185 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X186 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 1.3647334
## X187 -0.2707144 -0.2662167 -0.9900597 -0.9532482 -1.2979474 -0.7319733
## X188 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X189 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X190 3.6900455 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X191 -0.2707144 -0.2662167 -0.9900597 1.0479417 0.7696371 1.3647334
## X192 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 -0.7319733
## X193 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X194 -0.2707144 -0.2662167 -0.9900597 1.0479417 0.7696371 1.3647334
## X195 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X196 -0.2707144 -0.2662167 -0.9900597 1.0479417 0.7696371 1.3647334
## X197 -0.2707144 -0.2662167 -0.9900597 -0.9532482 0.7696371 -0.7319733
## X198 -0.2707144 -0.2662167 -0.9900597 1.0479417 -1.2979474 1.3647334
## X199 -0.2707144 -0.2662167 -0.9900597 -0.9532482 -1.2979474 1.3647334
## X200 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X201 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X202 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 -0.7319733
## X203 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 1.3647334
## X204 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 -0.7319733
## X205 -0.2707144 -0.2662167 -0.9900597 -0.9532482 0.7696371 -0.7319733
## X206 -0.2707144 -0.2662167 -0.9900597 -0.9532482 -1.2979474 -0.7319733
## X207 3.6900455 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X208 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X209 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X210 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X211 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X212 -0.2707144 -0.2662167 -0.9900597 -0.9532482 -1.2979474 -0.7319733
## X213 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X214 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 1.3647334
## X215 -0.2707144 -0.2662167 -0.9900597 -0.9532482 0.7696371 -0.7319733
## X216 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X217 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X218 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 -0.7319733
## X219 -0.2707144 -0.2662167 -0.9900597 1.0479417 -1.2979474 1.3647334
## X220 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X221 -0.2707144 -0.2662167 -0.9900597 -0.9532482 -1.2979474 -0.7319733
## X222 -0.2707144 -0.2662167 -0.9900597 -0.9532482 0.7696371 -0.7319733
## X223 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X224 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X225 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X226 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X227 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X228 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X229 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X230 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X231 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X232 -0.2707144 -0.2662167 -0.9900597 -0.9532482 0.7696371 -0.7319733
## X233 -0.2707144 3.7523881 1.0089780 1.0479417 0.7696371 -0.7319733
## X234 -0.2707144 -0.2662167 -0.9900597 1.0479417 0.7696371 -0.7319733
## X235 -0.2707144 -0.2662167 -0.9900597 -0.9532482 -1.2979474 -0.7319733
## X236 -0.2707144 -0.2662167 -0.9900597 -0.9532482 0.7696371 -0.7319733
## X237 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X238 -0.2707144 -0.2662167 -0.9900597 -0.9532482 -1.2979474 -0.7319733
## X239 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 1.3647334
## X240 -0.2707144 3.7523881 1.0089780 1.0479417 0.7696371 1.3647334
## X241 -0.2707144 -0.2662167 -0.9900597 -0.9532482 -1.2979474 -0.7319733
## X242 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X243 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X244 3.6900455 -0.2662167 1.0089780 1.0479417 0.7696371 -0.7319733
## X245 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 1.3647334
## X246 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 1.3647334
## X247 3.6900455 -0.2662167 1.0089780 1.0479417 0.7696371 -0.7319733
## X248 -0.2707144 -0.2662167 -0.9900597 1.0479417 -1.2979474 1.3647334
## X249 -0.2707144 -0.2662167 -0.9900597 -0.9532482 0.7696371 -0.7319733
## X250 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 1.3647334
## X251 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X252 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X253 -0.2707144 -0.2662167 -0.9900597 -0.9532482 -1.2979474 -0.7319733
## X254 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X255 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 1.3647334
## X256 -0.2707144 -0.2662167 -0.9900597 1.0479417 -1.2979474 1.3647334
## X257 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 1.3647334
## X258 -0.2707144 -0.2662167 -0.9900597 -0.9532482 -1.2979474 -0.7319733
## X259 -0.2707144 -0.2662167 -0.9900597 -0.9532482 -1.2979474 -0.7319733
## X260 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 1.3647334
## X261 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 -0.7319733
## X262 -0.2707144 -0.2662167 -0.9900597 -0.9532482 -1.2979474 -0.7319733
## X263 -0.2707144 -0.2662167 -0.9900597 -0.9532482 -1.2979474 -0.7319733
## X264 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X265 -0.2707144 -0.2662167 -0.9900597 -0.9532482 -1.2979474 -0.7319733
## X266 -0.2707144 -0.2662167 -0.9900597 -0.9532482 -1.2979474 -0.7319733
## X267 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X268 -0.2707144 -0.2662167 -0.9900597 1.0479417 -1.2979474 1.3647334
## X269 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 1.3647334
## X270 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 1.3647334
## X271 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 1.3647334
## X272 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 1.3647334
## X273 -0.2707144 -0.2662167 -0.9900597 -0.9532482 -1.2979474 -0.7319733
## X274 -0.2707144 -0.2662167 -0.9900597 1.0479417 0.7696371 -0.7319733
## X275 -0.2707144 -0.2662167 -0.9900597 1.0479417 -1.2979474 1.3647334
## X276 -0.2707144 -0.2662167 -0.9900597 1.0479417 -1.2979474 1.3647334
## X277 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X278 3.6900455 -0.2662167 -0.9900597 -0.9532482 0.7696371 -0.7319733
## X279 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X280 -0.2707144 -0.2662167 -0.9900597 -0.9532482 0.7696371 -0.7319733
## X281 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X282 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 -0.7319733
## X283 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X284 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X285 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 1.3647334
## X286 3.6900455 -0.2662167 1.0089780 1.0479417 0.7696371 -0.7319733
## X287 -0.2707144 -0.2662167 -0.9900597 -0.9532482 0.7696371 -0.7319733
## X288 -0.2707144 3.7523881 -0.9900597 1.0479417 0.7696371 1.3647334
## X289 -0.2707144 3.7523881 1.0089780 1.0479417 0.7696371 1.3647334
## X290 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 -0.7319733
## X291 -0.2707144 -0.2662167 -0.9900597 -0.9532482 -1.2979474 -0.7319733
## X292 3.6900455 -0.2662167 1.0089780 1.0479417 0.7696371 -0.7319733
## X293 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X294 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X295 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 1.3647334
## X296 3.6900455 -0.2662167 1.0089780 1.0479417 0.7696371 -0.7319733
## X297 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 1.3647334
## X298 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 1.3647334
## X299 -0.2707144 -0.2662167 -0.9900597 1.0479417 0.7696371 -0.7319733
## X300 -0.2707144 -0.2662167 -0.9900597 -0.9532482 -1.2979474 -0.7319733
## X301 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X302 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 1.3647334
## X303 3.6900455 -0.2662167 -0.9900597 -0.9532482 -1.2979474 -0.7319733
## X304 3.6900455 -0.2662167 -0.9900597 1.0479417 0.7696371 -0.7319733
## X305 3.6900455 -0.2662167 1.0089780 1.0479417 0.7696371 1.3647334
## X306 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X307 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X308 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 -0.7319733
## X309 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X310 -0.2707144 -0.2662167 -0.9900597 1.0479417 0.7696371 1.3647334
## X311 -0.2707144 -0.2662167 -0.9900597 -0.9532482 -1.2979474 -0.7319733
## X312 -0.2707144 3.7523881 1.0089780 1.0479417 0.7696371 1.3647334
## X313 -0.2707144 -0.2662167 -0.9900597 -0.9532482 -1.2979474 -0.7319733
## X314 -0.2707144 -0.2662167 -0.9900597 -0.9532482 -1.2979474 -0.7319733
## X315 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X316 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X317 -0.2707144 -0.2662167 -0.9900597 -0.9532482 -1.2979474 -0.7319733
## X318 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 -0.7319733
## X319 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 1.3647334
## X320 -0.2707144 -0.2662167 -0.9900597 -0.9532482 -1.2979474 -0.7319733
## X321 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 1.3647334
## X322 -0.2707144 -0.2662167 -0.9900597 1.0479417 0.7696371 1.3647334
## X323 3.6900455 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X324 -0.2707144 -0.2662167 -0.9900597 -0.9532482 -1.2979474 -0.7319733
## X325 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X326 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X327 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X328 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 1.3647334
## X329 -0.2707144 -0.2662167 -0.9900597 -0.9532482 -1.2979474 -0.7319733
## X330 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X331 -0.2707144 -0.2662167 -0.9900597 1.0479417 0.7696371 1.3647334
## X332 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 1.3647334
## X333 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 1.3647334
## X334 -0.2707144 -0.2662167 -0.9900597 1.0479417 0.7696371 1.3647334
## X335 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 1.3647334
## X336 -0.2707144 -0.2662167 -0.9900597 -0.9532482 0.7696371 -0.7319733
## X337 3.6900455 -0.2662167 1.0089780 1.0479417 0.7696371 -0.7319733
## X338 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 1.3647334
## X339 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 1.3647334
## X340 -0.2707144 -0.2662167 -0.9900597 1.0479417 0.7696371 1.3647334
## X341 -0.2707144 -0.2662167 -0.9900597 1.0479417 -1.2979474 1.3647334
## X342 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X343 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 -0.7319733
## X344 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 -0.7319733
## X345 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X346 3.6900455 -0.2662167 -0.9900597 1.0479417 -1.2979474 -0.7319733
## X347 -0.2707144 -0.2662167 -0.9900597 1.0479417 -1.2979474 1.3647334
## X348 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X349 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X350 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X351 -0.2707144 -0.2662167 -0.9900597 1.0479417 -1.2979474 1.3647334
## X352 -0.2707144 -0.2662167 -0.9900597 -0.9532482 -1.2979474 1.3647334
## X353 3.6900455 -0.2662167 1.0089780 1.0479417 0.7696371 1.3647334
## X354 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X355 -0.2707144 -0.2662167 -0.9900597 1.0479417 -1.2979474 1.3647334
## X356 -0.2707144 -0.2662167 -0.9900597 -0.9532482 0.7696371 -0.7319733
## X357 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 -0.7319733
## X358 -0.2707144 -0.2662167 -0.9900597 1.0479417 -1.2979474 1.3647334
## X359 3.6900455 -0.2662167 -0.9900597 1.0479417 -1.2979474 -0.7319733
## X360 -0.2707144 -0.2662167 -0.9900597 1.0479417 0.7696371 -0.7319733
## X361 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 1.3647334
## X362 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X363 3.6900455 -0.2662167 1.0089780 1.0479417 0.7696371 -0.7319733
## X364 -0.2707144 -0.2662167 -0.9900597 -0.9532482 -1.2979474 -0.7319733
## X365 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 1.3647334
## X366 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X367 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X368 -0.2707144 -0.2662167 -0.9900597 -0.9532482 -1.2979474 -0.7319733
## X369 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 1.3647334
## X370 3.6900455 -0.2662167 1.0089780 1.0479417 0.7696371 -0.7319733
## X371 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X372 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 1.3647334
## X373 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X374 -0.2707144 3.7523881 1.0089780 1.0479417 0.7696371 -0.7319733
## X375 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 1.3647334
## X376 -0.2707144 -0.2662167 -0.9900597 1.0479417 0.7696371 1.3647334
## X377 -0.2707144 -0.2662167 -0.9900597 1.0479417 -1.2979474 1.3647334
## X378 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X379 -0.2707144 -0.2662167 -0.9900597 -0.9532482 -1.2979474 -0.7319733
## X380 -0.2707144 -0.2662167 -0.9900597 -0.9532482 -1.2979474 -0.7319733
## X381 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 1.3647334
## X382 3.6900455 -0.2662167 1.0089780 1.0479417 0.7696371 1.3647334
## X383 -0.2707144 3.7523881 -0.9900597 1.0479417 0.7696371 1.3647334
## X384 -0.2707144 -0.2662167 -0.9900597 1.0479417 0.7696371 -0.7319733
## X385 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 1.3647334
## X386 3.6900455 -0.2662167 1.0089780 1.0479417 0.7696371 -0.7319733
## X387 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 -0.7319733
## X388 3.6900455 -0.2662167 1.0089780 1.0479417 0.7696371 1.3647334
## X389 3.6900455 -0.2662167 1.0089780 1.0479417 0.7696371 -0.7319733
## X390 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 -0.7319733
## X391 -0.2707144 -0.2662167 -0.9900597 1.0479417 -1.2979474 1.3647334
## X392 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 1.3647334
## X393 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X394 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X395 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 1.3647334
## X396 -0.2707144 -0.2662167 -0.9900597 -0.9532482 -1.2979474 -0.7319733
## X397 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X398 -0.2707144 -0.2662167 -0.9900597 -0.9532482 -1.2979474 -0.7319733
## X399 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X400 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 1.3647334
## X401 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X402 -0.2707144 3.7523881 1.0089780 1.0479417 0.7696371 1.3647334
## X403 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X404 -0.2707144 -0.2662167 -0.9900597 1.0479417 -1.2979474 1.3647334
## X405 -0.2707144 -0.2662167 -0.9900597 1.0479417 -1.2979474 -0.7319733
## X406 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 1.3647334
## X407 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 -0.7319733
## X408 -0.2707144 -0.2662167 -0.9900597 -0.9532482 -1.2979474 -0.7319733
## X409 -0.2707144 -0.2662167 -0.9900597 1.0479417 0.7696371 -0.7319733
## X410 3.6900455 -0.2662167 -0.9900597 1.0479417 0.7696371 -0.7319733
## X411 -0.2707144 3.7523881 1.0089780 1.0479417 0.7696371 -0.7319733
## X412 3.6900455 -0.2662167 1.0089780 1.0479417 0.7696371 -0.7319733
## X413 3.6900455 -0.2662167 -0.9900597 -0.9532482 0.7696371 -0.7319733
## X414 -0.2707144 -0.2662167 -0.9900597 -0.9532482 -1.2979474 -0.7319733
## X415 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X416 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X417 3.6900455 -0.2662167 1.0089780 1.0479417 0.7696371 -0.7319733
## X418 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X419 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 1.3647334
## X420 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X421 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 1.3647334
## X422 -0.2707144 -0.2662167 -0.9900597 1.0479417 0.7696371 1.3647334
## X423 -0.2707144 -0.2662167 -0.9900597 1.0479417 0.7696371 1.3647334
## X424 -0.2707144 -0.2662167 -0.9900597 1.0479417 0.7696371 1.3647334
## X425 -0.2707144 -0.2662167 -0.9900597 1.0479417 0.7696371 1.3647334
## X426 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 -0.7319733
## X427 -0.2707144 -0.2662167 -0.9900597 -0.9532482 -1.2979474 -0.7319733
## X428 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X429 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X430 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 1.3647334
## X431 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X432 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 1.3647334
## X433 -0.2707144 -0.2662167 -0.9900597 -0.9532482 -1.2979474 -0.7319733
## X434 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 -0.7319733
## X435 -0.2707144 -0.2662167 -0.9900597 1.0479417 -1.2979474 -0.7319733
## X436 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X437 -0.2707144 3.7523881 -0.9900597 1.0479417 0.7696371 1.3647334
## X438 -0.2707144 -0.2662167 -0.9900597 1.0479417 0.7696371 1.3647334
## X439 -0.2707144 -0.2662167 -0.9900597 -0.9532482 -1.2979474 -0.7319733
## X440 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X441 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 1.3647334
## X442 -0.2707144 -0.2662167 1.0089780 -0.9532482 0.7696371 -0.7319733
## X443 3.6900455 -0.2662167 -0.9900597 1.0479417 0.7696371 -0.7319733
## X444 -0.2707144 -0.2662167 -0.9900597 1.0479417 -1.2979474 1.3647334
## X445 -0.2707144 -0.2662167 -0.9900597 1.0479417 -1.2979474 1.3647334
## X446 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 1.3647334
## X447 -0.2707144 -0.2662167 -0.9900597 1.0479417 -1.2979474 1.3647334
## X448 -0.2707144 -0.2662167 -0.9900597 1.0479417 -1.2979474 1.3647334
## X449 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 1.3647334
## X450 -0.2707144 -0.2662167 -0.9900597 -0.9532482 -1.2979474 -0.7319733
## X451 -0.2707144 -0.2662167 -0.9900597 1.0479417 -1.2979474 1.3647334
## X452 -0.2707144 3.7523881 1.0089780 1.0479417 0.7696371 -0.7319733
## X453 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 -0.7319733
## X454 -0.2707144 -0.2662167 1.0089780 1.0479417 0.7696371 1.3647334
## FP166 FP167 FP168 FP169 FP170 FP171
## X1 -0.7033934 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X2 1.4201847 -0.6983906 0.7084077 2.0900438 2.1046669 -0.4512019
## X3 -0.7033934 1.4303578 0.7084077 -0.4779558 -0.4746349 2.2139721
## X4 -0.7033934 -0.6983906 0.7084077 -0.4779558 2.1046669 -0.4512019
## X5 -0.7033934 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X6 -0.7033934 1.4303578 -1.4101322 -0.4779558 -0.4746349 2.2139721
## X7 1.4201847 -0.6983906 0.7084077 2.0900438 2.1046669 -0.4512019
## X8 -0.7033934 1.4303578 -1.4101322 -0.4779558 -0.4746349 -0.4512019
## X9 -0.7033934 1.4303578 0.7084077 -0.4779558 2.1046669 -0.4512019
## X10 1.4201847 1.4303578 0.7084077 -0.4779558 2.1046669 -0.4512019
## X11 1.4201847 1.4303578 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X12 -0.7033934 -0.6983906 0.7084077 -0.4779558 2.1046669 -0.4512019
## X13 1.4201847 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X14 1.4201847 -0.6983906 0.7084077 2.0900438 -0.4746349 -0.4512019
## X15 1.4201847 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X16 -0.7033934 1.4303578 0.7084077 2.0900438 -0.4746349 2.2139721
## X17 -0.7033934 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X18 1.4201847 -0.6983906 0.7084077 2.0900438 2.1046669 -0.4512019
## X19 -0.7033934 -0.6983906 0.7084077 -0.4779558 2.1046669 -0.4512019
## X20 1.4201847 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X21 1.4201847 1.4303578 0.7084077 2.0900438 -0.4746349 -0.4512019
## X22 1.4201847 -0.6983906 0.7084077 -0.4779558 2.1046669 -0.4512019
## X23 1.4201847 1.4303578 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X24 -0.7033934 -0.6983906 -1.4101322 -0.4779558 2.1046669 2.2139721
## X25 1.4201847 -0.6983906 0.7084077 -0.4779558 -0.4746349 2.2139721
## X26 -0.7033934 1.4303578 0.7084077 -0.4779558 2.1046669 -0.4512019
## X27 1.4201847 -0.6983906 0.7084077 2.0900438 -0.4746349 2.2139721
## X28 1.4201847 -0.6983906 0.7084077 2.0900438 -0.4746349 -0.4512019
## X29 -0.7033934 1.4303578 0.7084077 2.0900438 -0.4746349 -0.4512019
## X30 1.4201847 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X31 -0.7033934 -0.6983906 -1.4101322 -0.4779558 -0.4746349 -0.4512019
## X32 -0.7033934 -0.6983906 -1.4101322 -0.4779558 -0.4746349 2.2139721
## X33 -0.7033934 -0.6983906 -1.4101322 -0.4779558 2.1046669 -0.4512019
## X34 1.4201847 -0.6983906 0.7084077 2.0900438 -0.4746349 -0.4512019
## X35 -0.7033934 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X36 1.4201847 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X37 -0.7033934 -0.6983906 -1.4101322 -0.4779558 2.1046669 -0.4512019
## X38 -0.7033934 1.4303578 -1.4101322 -0.4779558 2.1046669 2.2139721
## X39 -0.7033934 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X40 1.4201847 1.4303578 0.7084077 2.0900438 -0.4746349 -0.4512019
## X41 -0.7033934 1.4303578 0.7084077 -0.4779558 2.1046669 -0.4512019
## X42 1.4201847 1.4303578 0.7084077 2.0900438 -0.4746349 -0.4512019
## X43 1.4201847 -0.6983906 0.7084077 2.0900438 -0.4746349 -0.4512019
## X44 1.4201847 -0.6983906 0.7084077 2.0900438 2.1046669 -0.4512019
## X45 -0.7033934 -0.6983906 0.7084077 -0.4779558 -0.4746349 2.2139721
## X46 1.4201847 -0.6983906 0.7084077 2.0900438 -0.4746349 -0.4512019
## X47 -0.7033934 -0.6983906 -1.4101322 -0.4779558 -0.4746349 -0.4512019
## X48 1.4201847 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X49 -0.7033934 -0.6983906 0.7084077 2.0900438 -0.4746349 -0.4512019
## X50 1.4201847 1.4303578 0.7084077 2.0900438 -0.4746349 2.2139721
## X51 -0.7033934 -0.6983906 0.7084077 2.0900438 -0.4746349 -0.4512019
## X52 -0.7033934 -0.6983906 -1.4101322 -0.4779558 -0.4746349 -0.4512019
## X53 1.4201847 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X54 -0.7033934 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X55 -0.7033934 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X56 -0.7033934 -0.6983906 0.7084077 -0.4779558 2.1046669 -0.4512019
## X57 -0.7033934 1.4303578 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X58 1.4201847 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X59 -0.7033934 -0.6983906 0.7084077 2.0900438 2.1046669 -0.4512019
## X60 -0.7033934 1.4303578 0.7084077 2.0900438 -0.4746349 -0.4512019
## X61 -0.7033934 1.4303578 -1.4101322 -0.4779558 -0.4746349 -0.4512019
## X62 -0.7033934 1.4303578 -1.4101322 -0.4779558 -0.4746349 -0.4512019
## X63 -0.7033934 -0.6983906 0.7084077 2.0900438 -0.4746349 -0.4512019
## X64 1.4201847 -0.6983906 0.7084077 -0.4779558 2.1046669 -0.4512019
## X65 1.4201847 1.4303578 0.7084077 -0.4779558 -0.4746349 2.2139721
## X66 -0.7033934 -0.6983906 -1.4101322 -0.4779558 -0.4746349 -0.4512019
## X67 1.4201847 1.4303578 0.7084077 2.0900438 2.1046669 -0.4512019
## X68 -0.7033934 1.4303578 0.7084077 -0.4779558 2.1046669 -0.4512019
## X69 -0.7033934 -0.6983906 -1.4101322 -0.4779558 2.1046669 -0.4512019
## X70 1.4201847 -0.6983906 0.7084077 -0.4779558 2.1046669 -0.4512019
## X71 1.4201847 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X72 -0.7033934 -0.6983906 -1.4101322 -0.4779558 -0.4746349 -0.4512019
## X73 1.4201847 -0.6983906 0.7084077 2.0900438 -0.4746349 -0.4512019
## X74 -0.7033934 -0.6983906 -1.4101322 -0.4779558 -0.4746349 -0.4512019
## X75 1.4201847 -0.6983906 0.7084077 2.0900438 -0.4746349 -0.4512019
## X76 -0.7033934 1.4303578 0.7084077 -0.4779558 2.1046669 -0.4512019
## X77 1.4201847 -0.6983906 0.7084077 -0.4779558 2.1046669 -0.4512019
## X78 -0.7033934 -0.6983906 0.7084077 2.0900438 -0.4746349 -0.4512019
## X79 1.4201847 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X80 -0.7033934 1.4303578 0.7084077 -0.4779558 -0.4746349 2.2139721
## X81 -0.7033934 1.4303578 0.7084077 -0.4779558 2.1046669 -0.4512019
## X82 1.4201847 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X83 1.4201847 -0.6983906 0.7084077 2.0900438 -0.4746349 -0.4512019
## X84 1.4201847 1.4303578 0.7084077 -0.4779558 -0.4746349 2.2139721
## X85 1.4201847 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X86 -0.7033934 -0.6983906 -1.4101322 -0.4779558 -0.4746349 -0.4512019
## X87 -0.7033934 -0.6983906 -1.4101322 -0.4779558 -0.4746349 -0.4512019
## X88 1.4201847 1.4303578 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X89 -0.7033934 1.4303578 0.7084077 2.0900438 2.1046669 -0.4512019
## X90 -0.7033934 -0.6983906 -1.4101322 -0.4779558 -0.4746349 -0.4512019
## X91 -0.7033934 1.4303578 -1.4101322 -0.4779558 2.1046669 2.2139721
## X92 1.4201847 -0.6983906 0.7084077 2.0900438 -0.4746349 -0.4512019
## X93 -0.7033934 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X94 -0.7033934 1.4303578 -1.4101322 -0.4779558 -0.4746349 2.2139721
## X95 1.4201847 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X96 -0.7033934 1.4303578 0.7084077 2.0900438 -0.4746349 2.2139721
## X97 -0.7033934 -0.6983906 -1.4101322 -0.4779558 -0.4746349 -0.4512019
## X98 1.4201847 -0.6983906 0.7084077 2.0900438 -0.4746349 -0.4512019
## X99 -0.7033934 1.4303578 0.7084077 -0.4779558 2.1046669 -0.4512019
## X100 1.4201847 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X101 1.4201847 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X102 1.4201847 -0.6983906 0.7084077 2.0900438 -0.4746349 -0.4512019
## X103 -0.7033934 1.4303578 -1.4101322 -0.4779558 -0.4746349 -0.4512019
## X104 1.4201847 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X105 -0.7033934 -0.6983906 0.7084077 -0.4779558 2.1046669 2.2139721
## X106 -0.7033934 -0.6983906 -1.4101322 -0.4779558 2.1046669 -0.4512019
## X107 -0.7033934 -0.6983906 0.7084077 2.0900438 -0.4746349 -0.4512019
## X108 -0.7033934 1.4303578 0.7084077 -0.4779558 2.1046669 -0.4512019
## X109 -0.7033934 -0.6983906 -1.4101322 -0.4779558 -0.4746349 -0.4512019
## X110 1.4201847 1.4303578 0.7084077 2.0900438 -0.4746349 -0.4512019
## X111 1.4201847 1.4303578 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X112 -0.7033934 -0.6983906 0.7084077 -0.4779558 2.1046669 -0.4512019
## X113 -0.7033934 1.4303578 -1.4101322 -0.4779558 -0.4746349 -0.4512019
## X114 -0.7033934 -0.6983906 0.7084077 2.0900438 -0.4746349 2.2139721
## X115 1.4201847 -0.6983906 0.7084077 2.0900438 -0.4746349 -0.4512019
## X116 1.4201847 1.4303578 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X117 -0.7033934 -0.6983906 -1.4101322 -0.4779558 -0.4746349 -0.4512019
## X118 1.4201847 -0.6983906 0.7084077 2.0900438 -0.4746349 -0.4512019
## X119 1.4201847 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X120 1.4201847 -0.6983906 0.7084077 2.0900438 -0.4746349 -0.4512019
## X121 -0.7033934 -0.6983906 0.7084077 -0.4779558 2.1046669 -0.4512019
## X122 1.4201847 -0.6983906 0.7084077 2.0900438 -0.4746349 -0.4512019
## X123 1.4201847 -0.6983906 0.7084077 -0.4779558 -0.4746349 2.2139721
## X124 1.4201847 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X125 1.4201847 -0.6983906 0.7084077 2.0900438 -0.4746349 -0.4512019
## X126 1.4201847 -0.6983906 0.7084077 2.0900438 -0.4746349 -0.4512019
## X127 1.4201847 -0.6983906 0.7084077 -0.4779558 -0.4746349 2.2139721
## X128 -0.7033934 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X129 -0.7033934 -0.6983906 0.7084077 2.0900438 -0.4746349 -0.4512019
## X130 1.4201847 -0.6983906 0.7084077 -0.4779558 2.1046669 -0.4512019
## X131 1.4201847 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X132 1.4201847 -0.6983906 0.7084077 2.0900438 -0.4746349 -0.4512019
## X133 1.4201847 -0.6983906 0.7084077 2.0900438 -0.4746349 -0.4512019
## X134 -0.7033934 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X135 1.4201847 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X136 1.4201847 -0.6983906 0.7084077 2.0900438 -0.4746349 -0.4512019
## X137 -0.7033934 -0.6983906 0.7084077 2.0900438 -0.4746349 -0.4512019
## X138 -0.7033934 -0.6983906 0.7084077 -0.4779558 2.1046669 -0.4512019
## X139 1.4201847 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X140 1.4201847 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X141 -0.7033934 -0.6983906 0.7084077 2.0900438 -0.4746349 -0.4512019
## X142 1.4201847 -0.6983906 0.7084077 2.0900438 -0.4746349 -0.4512019
## X143 -0.7033934 -0.6983906 0.7084077 2.0900438 -0.4746349 -0.4512019
## X144 -0.7033934 -0.6983906 0.7084077 2.0900438 -0.4746349 -0.4512019
## X145 -0.7033934 -0.6983906 0.7084077 2.0900438 -0.4746349 -0.4512019
## X146 1.4201847 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X147 -0.7033934 -0.6983906 0.7084077 2.0900438 -0.4746349 -0.4512019
## X148 1.4201847 -0.6983906 0.7084077 2.0900438 2.1046669 -0.4512019
## X149 1.4201847 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X150 -0.7033934 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X151 1.4201847 -0.6983906 0.7084077 2.0900438 -0.4746349 -0.4512019
## X152 1.4201847 -0.6983906 0.7084077 2.0900438 -0.4746349 -0.4512019
## X153 -0.7033934 -0.6983906 0.7084077 2.0900438 -0.4746349 -0.4512019
## X154 1.4201847 -0.6983906 0.7084077 2.0900438 -0.4746349 -0.4512019
## X155 -0.7033934 -0.6983906 0.7084077 2.0900438 -0.4746349 -0.4512019
## X156 1.4201847 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X157 -0.7033934 -0.6983906 0.7084077 2.0900438 -0.4746349 -0.4512019
## X158 -0.7033934 -0.6983906 0.7084077 2.0900438 -0.4746349 -0.4512019
## X159 -0.7033934 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X160 1.4201847 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X161 -0.7033934 -0.6983906 -1.4101322 -0.4779558 -0.4746349 -0.4512019
## X162 -0.7033934 -0.6983906 0.7084077 -0.4779558 2.1046669 -0.4512019
## X163 -0.7033934 -0.6983906 0.7084077 2.0900438 -0.4746349 -0.4512019
## X164 -0.7033934 1.4303578 0.7084077 -0.4779558 2.1046669 -0.4512019
## X165 1.4201847 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X166 1.4201847 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X167 -0.7033934 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X168 -0.7033934 -0.6983906 0.7084077 -0.4779558 -0.4746349 2.2139721
## X169 -0.7033934 -0.6983906 -1.4101322 -0.4779558 -0.4746349 -0.4512019
## X170 -0.7033934 -0.6983906 0.7084077 2.0900438 2.1046669 -0.4512019
## X171 -0.7033934 1.4303578 0.7084077 -0.4779558 2.1046669 -0.4512019
## X172 -0.7033934 -0.6983906 -1.4101322 -0.4779558 2.1046669 -0.4512019
## X173 1.4201847 1.4303578 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X174 1.4201847 1.4303578 0.7084077 2.0900438 -0.4746349 -0.4512019
## X175 -0.7033934 -0.6983906 -1.4101322 -0.4779558 -0.4746349 -0.4512019
## X176 1.4201847 -0.6983906 0.7084077 -0.4779558 -0.4746349 2.2139721
## X177 -0.7033934 1.4303578 0.7084077 -0.4779558 2.1046669 -0.4512019
## X178 -0.7033934 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X179 -0.7033934 1.4303578 -1.4101322 -0.4779558 2.1046669 2.2139721
## X180 -0.7033934 -0.6983906 0.7084077 2.0900438 2.1046669 -0.4512019
## X181 1.4201847 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X182 -0.7033934 1.4303578 0.7084077 -0.4779558 2.1046669 -0.4512019
## X183 1.4201847 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X184 1.4201847 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X185 -0.7033934 -0.6983906 0.7084077 -0.4779558 -0.4746349 2.2139721
## X186 -0.7033934 1.4303578 0.7084077 -0.4779558 2.1046669 -0.4512019
## X187 -0.7033934 -0.6983906 -1.4101322 -0.4779558 -0.4746349 -0.4512019
## X188 1.4201847 -0.6983906 0.7084077 -0.4779558 2.1046669 -0.4512019
## X189 1.4201847 -0.6983906 0.7084077 2.0900438 2.1046669 -0.4512019
## X190 -0.7033934 -0.6983906 0.7084077 2.0900438 -0.4746349 -0.4512019
## X191 -0.7033934 1.4303578 0.7084077 -0.4779558 2.1046669 -0.4512019
## X192 1.4201847 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X193 1.4201847 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X194 -0.7033934 1.4303578 0.7084077 -0.4779558 2.1046669 -0.4512019
## X195 1.4201847 -0.6983906 0.7084077 2.0900438 -0.4746349 -0.4512019
## X196 -0.7033934 1.4303578 0.7084077 -0.4779558 2.1046669 -0.4512019
## X197 -0.7033934 -0.6983906 0.7084077 2.0900438 -0.4746349 -0.4512019
## X198 -0.7033934 1.4303578 -1.4101322 -0.4779558 -0.4746349 2.2139721
## X199 -0.7033934 -0.6983906 -1.4101322 -0.4779558 -0.4746349 -0.4512019
## X200 1.4201847 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X201 1.4201847 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X202 -0.7033934 -0.6983906 0.7084077 2.0900438 2.1046669 -0.4512019
## X203 1.4201847 1.4303578 0.7084077 2.0900438 -0.4746349 -0.4512019
## X204 -0.7033934 -0.6983906 0.7084077 2.0900438 -0.4746349 -0.4512019
## X205 -0.7033934 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X206 -0.7033934 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X207 -0.7033934 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X208 1.4201847 -0.6983906 0.7084077 2.0900438 -0.4746349 -0.4512019
## X209 1.4201847 -0.6983906 0.7084077 2.0900438 -0.4746349 -0.4512019
## X210 -0.7033934 -0.6983906 0.7084077 -0.4779558 2.1046669 -0.4512019
## X211 1.4201847 -0.6983906 0.7084077 2.0900438 -0.4746349 -0.4512019
## X212 -0.7033934 -0.6983906 0.7084077 -0.4779558 2.1046669 -0.4512019
## X213 -0.7033934 -0.6983906 0.7084077 2.0900438 -0.4746349 -0.4512019
## X214 1.4201847 1.4303578 0.7084077 2.0900438 -0.4746349 -0.4512019
## X215 -0.7033934 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X216 -0.7033934 -0.6983906 0.7084077 2.0900438 -0.4746349 -0.4512019
## X217 1.4201847 -0.6983906 0.7084077 -0.4779558 -0.4746349 2.2139721
## X218 1.4201847 -0.6983906 0.7084077 2.0900438 -0.4746349 -0.4512019
## X219 -0.7033934 1.4303578 -1.4101322 -0.4779558 -0.4746349 -0.4512019
## X220 1.4201847 -0.6983906 0.7084077 2.0900438 -0.4746349 -0.4512019
## X221 -0.7033934 -0.6983906 -1.4101322 -0.4779558 -0.4746349 -0.4512019
## X222 -0.7033934 -0.6983906 0.7084077 -0.4779558 2.1046669 -0.4512019
## X223 1.4201847 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X224 -0.7033934 -0.6983906 0.7084077 2.0900438 -0.4746349 -0.4512019
## X225 1.4201847 -0.6983906 0.7084077 2.0900438 2.1046669 -0.4512019
## X226 1.4201847 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X227 -0.7033934 -0.6983906 0.7084077 2.0900438 -0.4746349 -0.4512019
## X228 1.4201847 -0.6983906 0.7084077 2.0900438 -0.4746349 -0.4512019
## X229 1.4201847 -0.6983906 0.7084077 2.0900438 -0.4746349 -0.4512019
## X230 1.4201847 -0.6983906 0.7084077 2.0900438 -0.4746349 -0.4512019
## X231 -0.7033934 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X232 -0.7033934 -0.6983906 0.7084077 2.0900438 -0.4746349 -0.4512019
## X233 1.4201847 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X234 -0.7033934 -0.6983906 0.7084077 -0.4779558 2.1046669 -0.4512019
## X235 -0.7033934 -0.6983906 -1.4101322 -0.4779558 -0.4746349 -0.4512019
## X236 -0.7033934 -0.6983906 0.7084077 2.0900438 -0.4746349 -0.4512019
## X237 -0.7033934 -0.6983906 0.7084077 -0.4779558 -0.4746349 2.2139721
## X238 -0.7033934 -0.6983906 0.7084077 -0.4779558 2.1046669 -0.4512019
## X239 -0.7033934 1.4303578 0.7084077 2.0900438 -0.4746349 -0.4512019
## X240 -0.7033934 1.4303578 0.7084077 -0.4779558 2.1046669 -0.4512019
## X241 -0.7033934 -0.6983906 -1.4101322 -0.4779558 -0.4746349 -0.4512019
## X242 -0.7033934 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X243 1.4201847 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X244 -0.7033934 -0.6983906 0.7084077 2.0900438 -0.4746349 -0.4512019
## X245 -0.7033934 1.4303578 0.7084077 2.0900438 -0.4746349 2.2139721
## X246 1.4201847 1.4303578 0.7084077 -0.4779558 2.1046669 -0.4512019
## X247 -0.7033934 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X248 -0.7033934 1.4303578 -1.4101322 -0.4779558 -0.4746349 -0.4512019
## X249 -0.7033934 -0.6983906 -1.4101322 -0.4779558 2.1046669 -0.4512019
## X250 1.4201847 1.4303578 0.7084077 2.0900438 -0.4746349 -0.4512019
## X251 1.4201847 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X252 1.4201847 -0.6983906 0.7084077 -0.4779558 2.1046669 -0.4512019
## X253 -0.7033934 -0.6983906 -1.4101322 -0.4779558 -0.4746349 2.2139721
## X254 -0.7033934 -0.6983906 0.7084077 -0.4779558 2.1046669 -0.4512019
## X255 1.4201847 1.4303578 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X256 -0.7033934 1.4303578 -1.4101322 -0.4779558 -0.4746349 -0.4512019
## X257 -0.7033934 1.4303578 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X258 -0.7033934 -0.6983906 -1.4101322 -0.4779558 -0.4746349 2.2139721
## X259 -0.7033934 -0.6983906 -1.4101322 -0.4779558 2.1046669 -0.4512019
## X260 1.4201847 1.4303578 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X261 1.4201847 -0.6983906 0.7084077 -0.4779558 -0.4746349 2.2139721
## X262 -0.7033934 -0.6983906 -1.4101322 -0.4779558 -0.4746349 -0.4512019
## X263 -0.7033934 -0.6983906 -1.4101322 -0.4779558 -0.4746349 -0.4512019
## X264 1.4201847 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X265 -0.7033934 -0.6983906 -1.4101322 -0.4779558 -0.4746349 2.2139721
## X266 -0.7033934 -0.6983906 -1.4101322 -0.4779558 -0.4746349 2.2139721
## X267 -0.7033934 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X268 -0.7033934 1.4303578 -1.4101322 -0.4779558 -0.4746349 -0.4512019
## X269 -0.7033934 1.4303578 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X270 -0.7033934 1.4303578 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X271 1.4201847 1.4303578 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X272 1.4201847 1.4303578 0.7084077 -0.4779558 -0.4746349 2.2139721
## X273 -0.7033934 -0.6983906 -1.4101322 -0.4779558 -0.4746349 -0.4512019
## X274 -0.7033934 -0.6983906 0.7084077 -0.4779558 2.1046669 -0.4512019
## X275 -0.7033934 1.4303578 -1.4101322 -0.4779558 -0.4746349 -0.4512019
## X276 -0.7033934 1.4303578 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X277 -0.7033934 -0.6983906 0.7084077 2.0900438 2.1046669 2.2139721
## X278 -0.7033934 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X279 1.4201847 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X280 -0.7033934 -0.6983906 0.7084077 2.0900438 -0.4746349 -0.4512019
## X281 1.4201847 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X282 -0.7033934 -0.6983906 0.7084077 2.0900438 -0.4746349 -0.4512019
## X283 1.4201847 -0.6983906 0.7084077 2.0900438 -0.4746349 -0.4512019
## X284 1.4201847 -0.6983906 0.7084077 -0.4779558 2.1046669 -0.4512019
## X285 -0.7033934 1.4303578 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X286 -0.7033934 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X287 -0.7033934 -0.6983906 0.7084077 2.0900438 -0.4746349 -0.4512019
## X288 -0.7033934 1.4303578 0.7084077 2.0900438 -0.4746349 2.2139721
## X289 1.4201847 1.4303578 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X290 1.4201847 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X291 -0.7033934 -0.6983906 -1.4101322 -0.4779558 -0.4746349 2.2139721
## X292 -0.7033934 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X293 1.4201847 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X294 -0.7033934 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X295 1.4201847 1.4303578 0.7084077 2.0900438 -0.4746349 -0.4512019
## X296 -0.7033934 -0.6983906 0.7084077 2.0900438 -0.4746349 -0.4512019
## X297 1.4201847 1.4303578 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X298 -0.7033934 1.4303578 0.7084077 2.0900438 -0.4746349 -0.4512019
## X299 -0.7033934 -0.6983906 0.7084077 -0.4779558 2.1046669 -0.4512019
## X300 -0.7033934 -0.6983906 -1.4101322 -0.4779558 -0.4746349 -0.4512019
## X301 1.4201847 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X302 -0.7033934 1.4303578 0.7084077 -0.4779558 -0.4746349 2.2139721
## X303 -0.7033934 -0.6983906 0.7084077 -0.4779558 -0.4746349 2.2139721
## X304 -0.7033934 -0.6983906 0.7084077 2.0900438 -0.4746349 -0.4512019
## X305 1.4201847 1.4303578 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X306 1.4201847 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X307 1.4201847 -0.6983906 0.7084077 -0.4779558 2.1046669 2.2139721
## X308 -0.7033934 -0.6983906 0.7084077 2.0900438 -0.4746349 -0.4512019
## X309 1.4201847 -0.6983906 0.7084077 -0.4779558 2.1046669 2.2139721
## X310 -0.7033934 1.4303578 0.7084077 -0.4779558 2.1046669 -0.4512019
## X311 -0.7033934 -0.6983906 -1.4101322 -0.4779558 -0.4746349 -0.4512019
## X312 1.4201847 1.4303578 0.7084077 -0.4779558 2.1046669 -0.4512019
## X313 -0.7033934 -0.6983906 -1.4101322 -0.4779558 -0.4746349 -0.4512019
## X314 -0.7033934 -0.6983906 -1.4101322 -0.4779558 -0.4746349 -0.4512019
## X315 -0.7033934 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X316 -0.7033934 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X317 -0.7033934 -0.6983906 -1.4101322 -0.4779558 -0.4746349 -0.4512019
## X318 -0.7033934 -0.6983906 0.7084077 2.0900438 2.1046669 -0.4512019
## X319 1.4201847 1.4303578 0.7084077 -0.4779558 2.1046669 -0.4512019
## X320 -0.7033934 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X321 1.4201847 1.4303578 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X322 -0.7033934 1.4303578 0.7084077 2.0900438 -0.4746349 -0.4512019
## X323 1.4201847 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X324 -0.7033934 -0.6983906 -1.4101322 -0.4779558 -0.4746349 -0.4512019
## X325 1.4201847 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X326 1.4201847 -0.6983906 0.7084077 2.0900438 -0.4746349 -0.4512019
## X327 1.4201847 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X328 1.4201847 1.4303578 0.7084077 -0.4779558 -0.4746349 2.2139721
## X329 -0.7033934 -0.6983906 -1.4101322 -0.4779558 -0.4746349 -0.4512019
## X330 -0.7033934 -0.6983906 0.7084077 2.0900438 -0.4746349 -0.4512019
## X331 -0.7033934 1.4303578 0.7084077 2.0900438 -0.4746349 -0.4512019
## X332 -0.7033934 1.4303578 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X333 1.4201847 1.4303578 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X334 -0.7033934 1.4303578 0.7084077 2.0900438 -0.4746349 -0.4512019
## X335 -0.7033934 1.4303578 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X336 -0.7033934 -0.6983906 0.7084077 -0.4779558 2.1046669 -0.4512019
## X337 -0.7033934 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X338 1.4201847 1.4303578 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X339 1.4201847 1.4303578 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X340 -0.7033934 1.4303578 0.7084077 2.0900438 -0.4746349 -0.4512019
## X341 -0.7033934 1.4303578 -1.4101322 -0.4779558 -0.4746349 -0.4512019
## X342 -0.7033934 -0.6983906 0.7084077 2.0900438 -0.4746349 -0.4512019
## X343 1.4201847 -0.6983906 0.7084077 -0.4779558 2.1046669 -0.4512019
## X344 1.4201847 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X345 1.4201847 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X346 -0.7033934 -0.6983906 0.7084077 -0.4779558 -0.4746349 2.2139721
## X347 -0.7033934 1.4303578 -1.4101322 -0.4779558 2.1046669 2.2139721
## X348 -0.7033934 -0.6983906 0.7084077 2.0900438 2.1046669 2.2139721
## X349 1.4201847 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X350 1.4201847 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X351 -0.7033934 1.4303578 -1.4101322 -0.4779558 -0.4746349 -0.4512019
## X352 -0.7033934 -0.6983906 -1.4101322 -0.4779558 -0.4746349 -0.4512019
## X353 -0.7033934 1.4303578 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X354 1.4201847 -0.6983906 0.7084077 -0.4779558 2.1046669 -0.4512019
## X355 -0.7033934 1.4303578 -1.4101322 -0.4779558 -0.4746349 -0.4512019
## X356 -0.7033934 -0.6983906 0.7084077 2.0900438 -0.4746349 -0.4512019
## X357 -0.7033934 -0.6983906 0.7084077 2.0900438 -0.4746349 -0.4512019
## X358 -0.7033934 1.4303578 -1.4101322 -0.4779558 -0.4746349 -0.4512019
## X359 -0.7033934 -0.6983906 0.7084077 -0.4779558 -0.4746349 2.2139721
## X360 -0.7033934 -0.6983906 0.7084077 -0.4779558 2.1046669 -0.4512019
## X361 1.4201847 1.4303578 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X362 1.4201847 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X363 1.4201847 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X364 -0.7033934 -0.6983906 -1.4101322 -0.4779558 2.1046669 -0.4512019
## X365 -0.7033934 1.4303578 0.7084077 2.0900438 -0.4746349 -0.4512019
## X366 1.4201847 -0.6983906 0.7084077 2.0900438 -0.4746349 -0.4512019
## X367 1.4201847 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X368 -0.7033934 -0.6983906 -1.4101322 -0.4779558 -0.4746349 -0.4512019
## X369 1.4201847 1.4303578 0.7084077 -0.4779558 -0.4746349 2.2139721
## X370 1.4201847 -0.6983906 0.7084077 2.0900438 -0.4746349 -0.4512019
## X371 -0.7033934 -0.6983906 0.7084077 2.0900438 -0.4746349 -0.4512019
## X372 1.4201847 1.4303578 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X373 1.4201847 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X374 1.4201847 -0.6983906 0.7084077 2.0900438 -0.4746349 -0.4512019
## X375 -0.7033934 1.4303578 0.7084077 -0.4779558 -0.4746349 2.2139721
## X376 -0.7033934 1.4303578 0.7084077 -0.4779558 2.1046669 -0.4512019
## X377 -0.7033934 1.4303578 -1.4101322 -0.4779558 2.1046669 2.2139721
## X378 1.4201847 -0.6983906 0.7084077 -0.4779558 2.1046669 -0.4512019
## X379 -0.7033934 -0.6983906 -1.4101322 -0.4779558 -0.4746349 -0.4512019
## X380 -0.7033934 -0.6983906 -1.4101322 -0.4779558 -0.4746349 -0.4512019
## X381 -0.7033934 1.4303578 0.7084077 2.0900438 -0.4746349 -0.4512019
## X382 -0.7033934 1.4303578 0.7084077 -0.4779558 2.1046669 -0.4512019
## X383 -0.7033934 1.4303578 0.7084077 -0.4779558 2.1046669 -0.4512019
## X384 -0.7033934 -0.6983906 0.7084077 -0.4779558 2.1046669 -0.4512019
## X385 1.4201847 1.4303578 0.7084077 2.0900438 -0.4746349 2.2139721
## X386 -0.7033934 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X387 1.4201847 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X388 1.4201847 1.4303578 0.7084077 2.0900438 -0.4746349 -0.4512019
## X389 -0.7033934 -0.6983906 0.7084077 2.0900438 -0.4746349 -0.4512019
## X390 1.4201847 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X391 -0.7033934 1.4303578 -1.4101322 -0.4779558 2.1046669 2.2139721
## X392 -0.7033934 1.4303578 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X393 1.4201847 -0.6983906 0.7084077 -0.4779558 -0.4746349 2.2139721
## X394 1.4201847 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X395 -0.7033934 1.4303578 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X396 -0.7033934 -0.6983906 -1.4101322 -0.4779558 -0.4746349 -0.4512019
## X397 1.4201847 -0.6983906 0.7084077 -0.4779558 -0.4746349 2.2139721
## X398 -0.7033934 -0.6983906 -1.4101322 -0.4779558 2.1046669 2.2139721
## X399 1.4201847 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X400 -0.7033934 1.4303578 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X401 1.4201847 -0.6983906 0.7084077 -0.4779558 -0.4746349 2.2139721
## X402 -0.7033934 1.4303578 0.7084077 -0.4779558 -0.4746349 2.2139721
## X403 -0.7033934 -0.6983906 0.7084077 2.0900438 -0.4746349 -0.4512019
## X404 -0.7033934 1.4303578 -1.4101322 -0.4779558 -0.4746349 -0.4512019
## X405 -0.7033934 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X406 -0.7033934 1.4303578 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X407 1.4201847 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X408 -0.7033934 -0.6983906 -1.4101322 -0.4779558 -0.4746349 2.2139721
## X409 -0.7033934 -0.6983906 0.7084077 -0.4779558 2.1046669 -0.4512019
## X410 -0.7033934 -0.6983906 0.7084077 2.0900438 -0.4746349 2.2139721
## X411 -0.7033934 -0.6983906 0.7084077 -0.4779558 2.1046669 -0.4512019
## X412 1.4201847 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X413 -0.7033934 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X414 -0.7033934 -0.6983906 -1.4101322 -0.4779558 -0.4746349 -0.4512019
## X415 -0.7033934 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X416 1.4201847 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X417 -0.7033934 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X418 -0.7033934 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X419 1.4201847 1.4303578 0.7084077 -0.4779558 -0.4746349 2.2139721
## X420 -0.7033934 -0.6983906 0.7084077 2.0900438 -0.4746349 -0.4512019
## X421 1.4201847 1.4303578 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X422 -0.7033934 1.4303578 0.7084077 2.0900438 -0.4746349 -0.4512019
## X423 -0.7033934 1.4303578 0.7084077 -0.4779558 2.1046669 -0.4512019
## X424 -0.7033934 1.4303578 0.7084077 -0.4779558 2.1046669 -0.4512019
## X425 -0.7033934 1.4303578 0.7084077 -0.4779558 2.1046669 -0.4512019
## X426 1.4201847 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X427 -0.7033934 -0.6983906 -1.4101322 -0.4779558 -0.4746349 -0.4512019
## X428 1.4201847 -0.6983906 0.7084077 2.0900438 -0.4746349 -0.4512019
## X429 1.4201847 -0.6983906 0.7084077 -0.4779558 2.1046669 -0.4512019
## X430 -0.7033934 1.4303578 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X431 -0.7033934 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X432 -0.7033934 1.4303578 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X433 -0.7033934 -0.6983906 -1.4101322 -0.4779558 2.1046669 -0.4512019
## X434 1.4201847 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X435 -0.7033934 -0.6983906 -1.4101322 -0.4779558 -0.4746349 -0.4512019
## X436 -0.7033934 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X437 -0.7033934 1.4303578 0.7084077 -0.4779558 2.1046669 -0.4512019
## X438 -0.7033934 1.4303578 0.7084077 -0.4779558 2.1046669 -0.4512019
## X439 -0.7033934 -0.6983906 -1.4101322 -0.4779558 -0.4746349 2.2139721
## X440 -0.7033934 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X441 1.4201847 1.4303578 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X442 -0.7033934 -0.6983906 0.7084077 -0.4779558 2.1046669 -0.4512019
## X443 -0.7033934 -0.6983906 0.7084077 2.0900438 -0.4746349 -0.4512019
## X444 -0.7033934 1.4303578 -1.4101322 -0.4779558 -0.4746349 -0.4512019
## X445 -0.7033934 1.4303578 -1.4101322 -0.4779558 -0.4746349 -0.4512019
## X446 1.4201847 1.4303578 0.7084077 2.0900438 -0.4746349 2.2139721
## X447 -0.7033934 1.4303578 -1.4101322 -0.4779558 -0.4746349 -0.4512019
## X448 -0.7033934 1.4303578 -1.4101322 -0.4779558 2.1046669 -0.4512019
## X449 -0.7033934 1.4303578 0.7084077 2.0900438 2.1046669 -0.4512019
## X450 -0.7033934 -0.6983906 0.7084077 -0.4779558 -0.4746349 -0.4512019
## X451 -0.7033934 1.4303578 -1.4101322 -0.4779558 -0.4746349 -0.4512019
## X452 -0.7033934 -0.6983906 0.7084077 2.0900438 2.1046669 -0.4512019
## X453 -0.7033934 -0.6983906 0.7084077 2.0900438 -0.4746349 -0.4512019
## X454 1.4201847 1.4303578 0.7084077 -0.4779558 -0.4746349 2.2139721
## FP172 FP173 FP174 FP175 FP176 FP177
## X1 -0.4221979 -0.4065307 -0.3870166 -0.3941637 2.6815493 -0.3706955
## X2 -0.4221979 2.4572522 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X3 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X4 -0.4221979 2.4572522 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X5 2.3660671 -0.4065307 -0.3870166 -0.3941637 2.6815493 2.6947952
## X6 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X7 2.3660671 -0.4065307 -0.3870166 -0.3941637 2.6815493 -0.3706955
## X8 -0.4221979 -0.4065307 -0.3870166 2.5343493 -0.3725266 -0.3706955
## X9 -0.4221979 2.4572522 2.5811513 -0.3941637 -0.3725266 -0.3706955
## X10 -0.4221979 2.4572522 -0.3870166 -0.3941637 -0.3725266 2.6947952
## X11 -0.4221979 2.4572522 2.5811513 -0.3941637 -0.3725266 -0.3706955
## X12 -0.4221979 2.4572522 2.5811513 -0.3941637 -0.3725266 -0.3706955
## X13 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X14 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X15 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X16 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X17 -0.4221979 -0.4065307 -0.3870166 2.5343493 2.6815493 2.6947952
## X18 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X19 -0.4221979 2.4572522 2.5811513 -0.3941637 -0.3725266 -0.3706955
## X20 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X21 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X22 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X23 -0.4221979 -0.4065307 -0.3870166 2.5343493 -0.3725266 -0.3706955
## X24 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 2.6947952
## X25 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 2.6947952
## X26 -0.4221979 2.4572522 -0.3870166 -0.3941637 -0.3725266 2.6947952
## X27 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X28 -0.4221979 -0.4065307 -0.3870166 -0.3941637 2.6815493 -0.3706955
## X29 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 2.6947952
## X30 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X31 -0.4221979 -0.4065307 -0.3870166 2.5343493 -0.3725266 -0.3706955
## X32 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X33 -0.4221979 2.4572522 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X34 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X35 -0.4221979 -0.4065307 2.5811513 -0.3941637 -0.3725266 -0.3706955
## X36 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X37 -0.4221979 2.4572522 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X38 -0.4221979 2.4572522 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X39 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X40 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 2.6947952
## X41 -0.4221979 2.4572522 2.5811513 -0.3941637 -0.3725266 -0.3706955
## X42 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 2.6947952
## X43 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X44 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X45 2.3660671 -0.4065307 -0.3870166 -0.3941637 2.6815493 2.6947952
## X46 -0.4221979 -0.4065307 2.5811513 -0.3941637 -0.3725266 -0.3706955
## X47 -0.4221979 -0.4065307 -0.3870166 2.5343493 -0.3725266 -0.3706955
## X48 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X49 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X50 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X51 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X52 -0.4221979 -0.4065307 -0.3870166 2.5343493 -0.3725266 -0.3706955
## X53 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X54 2.3660671 -0.4065307 -0.3870166 -0.3941637 2.6815493 2.6947952
## X55 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X56 -0.4221979 2.4572522 2.5811513 -0.3941637 -0.3725266 -0.3706955
## X57 -0.4221979 -0.4065307 -0.3870166 2.5343493 -0.3725266 -0.3706955
## X58 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X59 2.3660671 2.4572522 2.5811513 -0.3941637 -0.3725266 -0.3706955
## X60 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X61 -0.4221979 -0.4065307 -0.3870166 2.5343493 -0.3725266 -0.3706955
## X62 -0.4221979 -0.4065307 -0.3870166 2.5343493 -0.3725266 -0.3706955
## X63 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X64 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X65 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X66 -0.4221979 -0.4065307 -0.3870166 2.5343493 -0.3725266 -0.3706955
## X67 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X68 -0.4221979 2.4572522 2.5811513 2.5343493 -0.3725266 -0.3706955
## X69 -0.4221979 2.4572522 -0.3870166 2.5343493 -0.3725266 -0.3706955
## X70 -0.4221979 2.4572522 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X71 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X72 -0.4221979 -0.4065307 -0.3870166 2.5343493 -0.3725266 -0.3706955
## X73 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X74 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X75 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X76 -0.4221979 2.4572522 2.5811513 -0.3941637 -0.3725266 -0.3706955
## X77 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X78 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X79 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X80 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X81 2.3660671 2.4572522 2.5811513 -0.3941637 -0.3725266 -0.3706955
## X82 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X83 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X84 2.3660671 -0.4065307 2.5811513 -0.3941637 -0.3725266 2.6947952
## X85 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X86 -0.4221979 -0.4065307 -0.3870166 2.5343493 -0.3725266 -0.3706955
## X87 -0.4221979 -0.4065307 -0.3870166 2.5343493 -0.3725266 -0.3706955
## X88 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X89 2.3660671 2.4572522 -0.3870166 -0.3941637 -0.3725266 2.6947952
## X90 -0.4221979 -0.4065307 -0.3870166 2.5343493 -0.3725266 -0.3706955
## X91 -0.4221979 2.4572522 -0.3870166 -0.3941637 -0.3725266 2.6947952
## X92 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X93 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X94 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X95 -0.4221979 -0.4065307 2.5811513 -0.3941637 -0.3725266 -0.3706955
## X96 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X97 -0.4221979 -0.4065307 -0.3870166 2.5343493 -0.3725266 -0.3706955
## X98 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X99 -0.4221979 2.4572522 2.5811513 -0.3941637 -0.3725266 -0.3706955
## X100 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X101 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X102 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X103 -0.4221979 -0.4065307 -0.3870166 2.5343493 -0.3725266 -0.3706955
## X104 -0.4221979 -0.4065307 -0.3870166 -0.3941637 2.6815493 -0.3706955
## X105 -0.4221979 2.4572522 2.5811513 -0.3941637 -0.3725266 -0.3706955
## X106 -0.4221979 2.4572522 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X107 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X108 -0.4221979 2.4572522 2.5811513 -0.3941637 -0.3725266 -0.3706955
## X109 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X110 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X111 -0.4221979 -0.4065307 -0.3870166 2.5343493 -0.3725266 -0.3706955
## X112 2.3660671 2.4572522 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X113 -0.4221979 -0.4065307 -0.3870166 2.5343493 -0.3725266 -0.3706955
## X114 2.3660671 -0.4065307 2.5811513 -0.3941637 2.6815493 -0.3706955
## X115 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X116 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 2.6947952
## X117 -0.4221979 -0.4065307 -0.3870166 2.5343493 -0.3725266 -0.3706955
## X118 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X119 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X120 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X121 2.3660671 2.4572522 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X122 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X123 -0.4221979 -0.4065307 2.5811513 -0.3941637 -0.3725266 -0.3706955
## X124 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X125 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X126 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X127 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X128 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X129 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X130 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X131 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X132 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X133 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X134 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X135 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X136 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X137 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X138 -0.4221979 2.4572522 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X139 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X140 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X141 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X142 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X143 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X144 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X145 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X146 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X147 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X148 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X149 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X150 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X151 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X152 -0.4221979 -0.4065307 -0.3870166 -0.3941637 2.6815493 -0.3706955
## X153 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X154 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X155 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X156 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X157 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X158 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X159 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X160 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X161 -0.4221979 -0.4065307 -0.3870166 2.5343493 -0.3725266 -0.3706955
## X162 -0.4221979 2.4572522 2.5811513 -0.3941637 -0.3725266 -0.3706955
## X163 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X164 -0.4221979 2.4572522 2.5811513 -0.3941637 -0.3725266 -0.3706955
## X165 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X166 -0.4221979 -0.4065307 -0.3870166 2.5343493 -0.3725266 -0.3706955
## X167 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X168 -0.4221979 -0.4065307 -0.3870166 -0.3941637 2.6815493 2.6947952
## X169 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X170 -0.4221979 2.4572522 2.5811513 -0.3941637 -0.3725266 -0.3706955
## X171 -0.4221979 2.4572522 2.5811513 -0.3941637 -0.3725266 -0.3706955
## X172 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X173 -0.4221979 -0.4065307 -0.3870166 -0.3941637 2.6815493 2.6947952
## X174 -0.4221979 -0.4065307 -0.3870166 -0.3941637 2.6815493 2.6947952
## X175 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X176 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X177 -0.4221979 2.4572522 2.5811513 -0.3941637 -0.3725266 -0.3706955
## X178 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X179 -0.4221979 2.4572522 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X180 -0.4221979 2.4572522 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X181 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X182 -0.4221979 2.4572522 2.5811513 -0.3941637 -0.3725266 -0.3706955
## X183 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X184 2.3660671 -0.4065307 -0.3870166 -0.3941637 2.6815493 -0.3706955
## X185 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X186 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X187 -0.4221979 -0.4065307 -0.3870166 2.5343493 -0.3725266 -0.3706955
## X188 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X189 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X190 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X191 -0.4221979 2.4572522 2.5811513 -0.3941637 -0.3725266 -0.3706955
## X192 -0.4221979 -0.4065307 2.5811513 -0.3941637 2.6815493 -0.3706955
## X193 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X194 -0.4221979 2.4572522 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X195 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X196 -0.4221979 2.4572522 2.5811513 -0.3941637 -0.3725266 -0.3706955
## X197 2.3660671 -0.4065307 -0.3870166 -0.3941637 2.6815493 -0.3706955
## X198 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X199 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X200 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X201 -0.4221979 -0.4065307 -0.3870166 2.5343493 -0.3725266 -0.3706955
## X202 -0.4221979 2.4572522 2.5811513 -0.3941637 -0.3725266 -0.3706955
## X203 -0.4221979 2.4572522 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X204 2.3660671 -0.4065307 2.5811513 -0.3941637 -0.3725266 -0.3706955
## X205 2.3660671 2.4572522 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X206 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X207 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X208 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X209 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X210 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X211 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X212 2.3660671 2.4572522 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X213 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X214 -0.4221979 2.4572522 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X215 2.3660671 2.4572522 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X216 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X217 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X218 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X219 -0.4221979 -0.4065307 -0.3870166 2.5343493 -0.3725266 -0.3706955
## X220 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X221 -0.4221979 -0.4065307 -0.3870166 2.5343493 -0.3725266 -0.3706955
## X222 2.3660671 2.4572522 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X223 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X224 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X225 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X226 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X227 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X228 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X229 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X230 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X231 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X232 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X233 -0.4221979 -0.4065307 2.5811513 -0.3941637 -0.3725266 -0.3706955
## X234 -0.4221979 2.4572522 2.5811513 -0.3941637 -0.3725266 -0.3706955
## X235 -0.4221979 2.4572522 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X236 2.3660671 -0.4065307 -0.3870166 -0.3941637 2.6815493 -0.3706955
## X237 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X238 2.3660671 2.4572522 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X239 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X240 2.3660671 2.4572522 2.5811513 -0.3941637 -0.3725266 -0.3706955
## X241 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X242 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X243 -0.4221979 -0.4065307 -0.3870166 -0.3941637 2.6815493 -0.3706955
## X244 -0.4221979 -0.4065307 -0.3870166 -0.3941637 2.6815493 2.6947952
## X245 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X246 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 2.6947952
## X247 -0.4221979 -0.4065307 -0.3870166 -0.3941637 2.6815493 2.6947952
## X248 -0.4221979 -0.4065307 -0.3870166 2.5343493 -0.3725266 -0.3706955
## X249 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X250 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X251 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X252 -0.4221979 -0.4065307 -0.3870166 -0.3941637 2.6815493 -0.3706955
## X253 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X254 -0.4221979 2.4572522 -0.3870166 -0.3941637 2.6815493 -0.3706955
## X255 2.3660671 -0.4065307 2.5811513 -0.3941637 -0.3725266 -0.3706955
## X256 -0.4221979 -0.4065307 -0.3870166 2.5343493 -0.3725266 -0.3706955
## X257 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X258 -0.4221979 -0.4065307 -0.3870166 2.5343493 -0.3725266 -0.3706955
## X259 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X260 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X261 -0.4221979 -0.4065307 2.5811513 -0.3941637 -0.3725266 -0.3706955
## X262 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X263 -0.4221979 -0.4065307 -0.3870166 2.5343493 -0.3725266 -0.3706955
## X264 -0.4221979 -0.4065307 -0.3870166 -0.3941637 2.6815493 -0.3706955
## X265 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X266 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X267 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X268 -0.4221979 -0.4065307 -0.3870166 2.5343493 -0.3725266 -0.3706955
## X269 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X270 -0.4221979 -0.4065307 -0.3870166 2.5343493 -0.3725266 -0.3706955
## X271 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X272 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X273 -0.4221979 -0.4065307 -0.3870166 2.5343493 -0.3725266 -0.3706955
## X274 -0.4221979 -0.4065307 2.5811513 -0.3941637 -0.3725266 -0.3706955
## X275 -0.4221979 -0.4065307 -0.3870166 2.5343493 -0.3725266 -0.3706955
## X276 2.3660671 -0.4065307 -0.3870166 -0.3941637 2.6815493 -0.3706955
## X277 -0.4221979 2.4572522 -0.3870166 -0.3941637 2.6815493 -0.3706955
## X278 -0.4221979 -0.4065307 -0.3870166 -0.3941637 2.6815493 -0.3706955
## X279 -0.4221979 -0.4065307 -0.3870166 -0.3941637 2.6815493 -0.3706955
## X280 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X281 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X282 2.3660671 -0.4065307 2.5811513 -0.3941637 -0.3725266 -0.3706955
## X283 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X284 -0.4221979 2.4572522 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X285 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 2.6947952
## X286 -0.4221979 -0.4065307 -0.3870166 -0.3941637 2.6815493 2.6947952
## X287 -0.4221979 -0.4065307 -0.3870166 -0.3941637 2.6815493 -0.3706955
## X288 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X289 -0.4221979 2.4572522 2.5811513 -0.3941637 -0.3725266 -0.3706955
## X290 2.3660671 -0.4065307 2.5811513 -0.3941637 2.6815493 -0.3706955
## X291 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X292 -0.4221979 -0.4065307 -0.3870166 -0.3941637 2.6815493 2.6947952
## X293 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X294 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X295 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 2.6947952
## X296 -0.4221979 -0.4065307 -0.3870166 -0.3941637 2.6815493 2.6947952
## X297 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X298 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 2.6947952
## X299 -0.4221979 -0.4065307 2.5811513 -0.3941637 -0.3725266 -0.3706955
## X300 -0.4221979 -0.4065307 -0.3870166 2.5343493 -0.3725266 -0.3706955
## X301 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X302 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 2.6947952
## X303 -0.4221979 -0.4065307 -0.3870166 -0.3941637 2.6815493 2.6947952
## X304 2.3660671 -0.4065307 -0.3870166 -0.3941637 2.6815493 -0.3706955
## X305 -0.4221979 -0.4065307 -0.3870166 2.5343493 -0.3725266 2.6947952
## X306 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X307 -0.4221979 2.4572522 -0.3870166 -0.3941637 2.6815493 -0.3706955
## X308 -0.4221979 -0.4065307 2.5811513 -0.3941637 -0.3725266 -0.3706955
## X309 -0.4221979 2.4572522 -0.3870166 -0.3941637 2.6815493 -0.3706955
## X310 -0.4221979 2.4572522 2.5811513 -0.3941637 -0.3725266 -0.3706955
## X311 -0.4221979 -0.4065307 -0.3870166 2.5343493 -0.3725266 -0.3706955
## X312 -0.4221979 2.4572522 2.5811513 -0.3941637 -0.3725266 -0.3706955
## X313 -0.4221979 -0.4065307 -0.3870166 2.5343493 -0.3725266 -0.3706955
## X314 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X315 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X316 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X317 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X318 -0.4221979 2.4572522 2.5811513 -0.3941637 -0.3725266 -0.3706955
## X319 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 2.6947952
## X320 2.3660671 -0.4065307 -0.3870166 -0.3941637 2.6815493 2.6947952
## X321 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X322 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 2.6947952
## X323 -0.4221979 -0.4065307 -0.3870166 -0.3941637 2.6815493 -0.3706955
## X324 -0.4221979 -0.4065307 -0.3870166 2.5343493 -0.3725266 -0.3706955
## X325 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X326 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X327 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X328 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X329 -0.4221979 -0.4065307 -0.3870166 2.5343493 -0.3725266 -0.3706955
## X330 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X331 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 2.6947952
## X332 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 2.6947952
## X333 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X334 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X335 -0.4221979 -0.4065307 -0.3870166 2.5343493 -0.3725266 2.6947952
## X336 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X337 -0.4221979 -0.4065307 -0.3870166 -0.3941637 2.6815493 2.6947952
## X338 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 2.6947952
## X339 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 2.6947952
## X340 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X341 -0.4221979 -0.4065307 -0.3870166 2.5343493 -0.3725266 -0.3706955
## X342 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X343 -0.4221979 2.4572522 2.5811513 -0.3941637 -0.3725266 -0.3706955
## X344 -0.4221979 -0.4065307 2.5811513 -0.3941637 -0.3725266 -0.3706955
## X345 -0.4221979 -0.4065307 -0.3870166 -0.3941637 2.6815493 -0.3706955
## X346 -0.4221979 -0.4065307 2.5811513 2.5343493 -0.3725266 -0.3706955
## X347 -0.4221979 2.4572522 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X348 -0.4221979 2.4572522 -0.3870166 -0.3941637 2.6815493 -0.3706955
## X349 -0.4221979 -0.4065307 -0.3870166 2.5343493 -0.3725266 -0.3706955
## X350 -0.4221979 -0.4065307 -0.3870166 -0.3941637 2.6815493 -0.3706955
## X351 -0.4221979 -0.4065307 -0.3870166 2.5343493 -0.3725266 -0.3706955
## X352 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X353 -0.4221979 -0.4065307 -0.3870166 2.5343493 -0.3725266 2.6947952
## X354 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X355 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X356 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X357 -0.4221979 2.4572522 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X358 -0.4221979 -0.4065307 -0.3870166 2.5343493 -0.3725266 -0.3706955
## X359 -0.4221979 -0.4065307 2.5811513 2.5343493 -0.3725266 -0.3706955
## X360 -0.4221979 2.4572522 2.5811513 -0.3941637 -0.3725266 -0.3706955
## X361 -0.4221979 -0.4065307 -0.3870166 2.5343493 -0.3725266 -0.3706955
## X362 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X363 -0.4221979 -0.4065307 -0.3870166 -0.3941637 2.6815493 2.6947952
## X364 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X365 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 2.6947952
## X366 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X367 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X368 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X369 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X370 -0.4221979 2.4572522 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X371 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X372 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 2.6947952
## X373 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X374 2.3660671 2.4572522 2.5811513 -0.3941637 2.6815493 -0.3706955
## X375 2.3660671 -0.4065307 -0.3870166 -0.3941637 2.6815493 -0.3706955
## X376 -0.4221979 2.4572522 2.5811513 -0.3941637 -0.3725266 -0.3706955
## X377 -0.4221979 2.4572522 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X378 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 2.6947952
## X379 -0.4221979 -0.4065307 -0.3870166 2.5343493 -0.3725266 -0.3706955
## X380 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X381 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X382 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 2.6947952
## X383 -0.4221979 2.4572522 2.5811513 -0.3941637 -0.3725266 -0.3706955
## X384 -0.4221979 2.4572522 2.5811513 -0.3941637 -0.3725266 -0.3706955
## X385 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X386 -0.4221979 -0.4065307 -0.3870166 -0.3941637 2.6815493 2.6947952
## X387 -0.4221979 2.4572522 2.5811513 2.5343493 -0.3725266 -0.3706955
## X388 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 2.6947952
## X389 -0.4221979 -0.4065307 -0.3870166 -0.3941637 2.6815493 -0.3706955
## X390 -0.4221979 2.4572522 2.5811513 2.5343493 -0.3725266 -0.3706955
## X391 -0.4221979 2.4572522 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X392 -0.4221979 -0.4065307 -0.3870166 2.5343493 -0.3725266 -0.3706955
## X393 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X394 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X395 -0.4221979 -0.4065307 -0.3870166 2.5343493 -0.3725266 -0.3706955
## X396 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X397 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X398 -0.4221979 2.4572522 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X399 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X400 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 2.6947952
## X401 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X402 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X403 -0.4221979 -0.4065307 -0.3870166 2.5343493 -0.3725266 -0.3706955
## X404 -0.4221979 -0.4065307 -0.3870166 2.5343493 -0.3725266 -0.3706955
## X405 -0.4221979 -0.4065307 2.5811513 -0.3941637 -0.3725266 -0.3706955
## X406 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X407 -0.4221979 -0.4065307 2.5811513 -0.3941637 -0.3725266 -0.3706955
## X408 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X409 -0.4221979 2.4572522 2.5811513 -0.3941637 -0.3725266 -0.3706955
## X410 2.3660671 2.4572522 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X411 -0.4221979 -0.4065307 2.5811513 -0.3941637 -0.3725266 -0.3706955
## X412 -0.4221979 -0.4065307 -0.3870166 -0.3941637 2.6815493 2.6947952
## X413 -0.4221979 -0.4065307 -0.3870166 -0.3941637 2.6815493 -0.3706955
## X414 -0.4221979 -0.4065307 -0.3870166 2.5343493 -0.3725266 -0.3706955
## X415 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X416 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X417 -0.4221979 -0.4065307 -0.3870166 -0.3941637 2.6815493 2.6947952
## X418 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X419 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X420 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X421 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 2.6947952
## X422 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X423 -0.4221979 2.4572522 2.5811513 -0.3941637 -0.3725266 -0.3706955
## X424 -0.4221979 -0.4065307 2.5811513 -0.3941637 2.6815493 -0.3706955
## X425 -0.4221979 2.4572522 2.5811513 -0.3941637 -0.3725266 -0.3706955
## X426 -0.4221979 -0.4065307 2.5811513 -0.3941637 -0.3725266 -0.3706955
## X427 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X428 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X429 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X430 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 2.6947952
## X431 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X432 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X433 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X434 -0.4221979 -0.4065307 2.5811513 -0.3941637 2.6815493 -0.3706955
## X435 -0.4221979 -0.4065307 -0.3870166 2.5343493 -0.3725266 -0.3706955
## X436 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X437 -0.4221979 2.4572522 2.5811513 -0.3941637 -0.3725266 -0.3706955
## X438 -0.4221979 2.4572522 2.5811513 -0.3941637 -0.3725266 -0.3706955
## X439 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X440 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X441 -0.4221979 2.4572522 2.5811513 -0.3941637 -0.3725266 -0.3706955
## X442 -0.4221979 2.4572522 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X443 2.3660671 2.4572522 2.5811513 -0.3941637 -0.3725266 -0.3706955
## X444 -0.4221979 -0.4065307 -0.3870166 2.5343493 -0.3725266 -0.3706955
## X445 -0.4221979 -0.4065307 -0.3870166 2.5343493 -0.3725266 -0.3706955
## X446 2.3660671 -0.4065307 -0.3870166 -0.3941637 -0.3725266 2.6947952
## X447 -0.4221979 -0.4065307 -0.3870166 2.5343493 -0.3725266 -0.3706955
## X448 -0.4221979 2.4572522 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X449 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X450 -0.4221979 -0.4065307 -0.3870166 -0.3941637 -0.3725266 -0.3706955
## X451 -0.4221979 -0.4065307 -0.3870166 2.5343493 -0.3725266 -0.3706955
## X452 -0.4221979 2.4572522 2.5811513 -0.3941637 -0.3725266 -0.3706955
## X453 -0.4221979 -0.4065307 2.5811513 -0.3941637 -0.3725266 -0.3706955
## X454 -0.4221979 -0.4065307 2.5811513 -0.3941637 -0.3725266 -0.3706955
## FP178 FP179 FP180 FP181 FP182 FP183
## X1 -0.3706955 3.0358039 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X2 2.6947952 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X3 -0.3706955 -0.3290557 2.8835355 -0.3211537 3.017853 -0.2860509
## X4 -0.3706955 3.0358039 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X5 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X6 -0.3706955 -0.3290557 -0.3464318 -0.3211537 3.017853 -0.2860509
## X7 -0.3706955 3.0358039 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X8 2.6947952 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X9 -0.3706955 -0.3290557 -0.3464318 3.1104998 -0.331013 -0.2860509
## X10 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X11 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X12 -0.3706955 -0.3290557 -0.3464318 3.1104998 -0.331013 -0.2860509
## X13 -0.3706955 3.0358039 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X14 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X15 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X16 -0.3706955 -0.3290557 2.8835355 -0.3211537 3.017853 -0.2860509
## X17 2.6947952 3.0358039 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X18 2.6947952 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X19 -0.3706955 -0.3290557 -0.3464318 3.1104998 -0.331013 -0.2860509
## X20 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X21 -0.3706955 -0.3290557 -0.3464318 3.1104998 -0.331013 -0.2860509
## X22 2.6947952 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X23 2.6947952 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X24 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X25 -0.3706955 -0.3290557 -0.3464318 -0.3211537 3.017853 -0.2860509
## X26 -0.3706955 3.0358039 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X27 -0.3706955 -0.3290557 -0.3464318 -0.3211537 3.017853 -0.2860509
## X28 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X29 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X30 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X31 2.6947952 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X32 -0.3706955 -0.3290557 -0.3464318 -0.3211537 3.017853 -0.2860509
## X33 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X34 -0.3706955 3.0358039 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X35 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X36 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X37 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X38 -0.3706955 -0.3290557 2.8835355 3.1104998 3.017853 -0.2860509
## X39 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 3.4922050
## X40 -0.3706955 -0.3290557 2.8835355 -0.3211537 -0.331013 -0.2860509
## X41 -0.3706955 -0.3290557 -0.3464318 3.1104998 -0.331013 -0.2860509
## X42 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X43 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X44 2.6947952 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X45 -0.3706955 -0.3290557 -0.3464318 -0.3211537 3.017853 -0.2860509
## X46 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X47 2.6947952 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X48 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X49 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 3.4922050
## X50 -0.3706955 -0.3290557 2.8835355 -0.3211537 3.017853 -0.2860509
## X51 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X52 2.6947952 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X53 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X54 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X55 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X56 -0.3706955 -0.3290557 -0.3464318 3.1104998 -0.331013 -0.2860509
## X57 2.6947952 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X58 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X59 -0.3706955 -0.3290557 -0.3464318 3.1104998 -0.331013 -0.2860509
## X60 -0.3706955 3.0358039 2.8835355 -0.3211537 -0.331013 -0.2860509
## X61 2.6947952 -0.3290557 2.8835355 -0.3211537 -0.331013 -0.2860509
## X62 2.6947952 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X63 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X64 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X65 -0.3706955 -0.3290557 -0.3464318 -0.3211537 3.017853 -0.2860509
## X66 2.6947952 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X67 2.6947952 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X68 2.6947952 -0.3290557 -0.3464318 3.1104998 -0.331013 -0.2860509
## X69 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X70 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X71 -0.3706955 3.0358039 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X72 2.6947952 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X73 -0.3706955 3.0358039 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X74 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X75 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X76 -0.3706955 -0.3290557 -0.3464318 3.1104998 -0.331013 -0.2860509
## X77 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X78 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X79 -0.3706955 3.0358039 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X80 -0.3706955 -0.3290557 -0.3464318 -0.3211537 3.017853 -0.2860509
## X81 -0.3706955 -0.3290557 -0.3464318 3.1104998 -0.331013 -0.2860509
## X82 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X83 2.6947952 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X84 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X85 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X86 2.6947952 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X87 2.6947952 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X88 -0.3706955 -0.3290557 2.8835355 -0.3211537 -0.331013 -0.2860509
## X89 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X90 2.6947952 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X91 -0.3706955 -0.3290557 2.8835355 3.1104998 3.017853 -0.2860509
## X92 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X93 -0.3706955 -0.3290557 -0.3464318 3.1104998 -0.331013 -0.2860509
## X94 2.6947952 -0.3290557 -0.3464318 -0.3211537 3.017853 -0.2860509
## X95 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X96 -0.3706955 -0.3290557 2.8835355 -0.3211537 -0.331013 3.4922050
## X97 2.6947952 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X98 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X99 -0.3706955 3.0358039 -0.3464318 3.1104998 -0.331013 -0.2860509
## X100 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X101 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X102 2.6947952 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X103 2.6947952 -0.3290557 2.8835355 -0.3211537 -0.331013 -0.2860509
## X104 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X105 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X106 -0.3706955 -0.3290557 -0.3464318 3.1104998 -0.331013 -0.2860509
## X107 -0.3706955 3.0358039 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X108 -0.3706955 -0.3290557 -0.3464318 3.1104998 -0.331013 -0.2860509
## X109 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X110 -0.3706955 3.0358039 2.8835355 -0.3211537 -0.331013 -0.2860509
## X111 2.6947952 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X112 -0.3706955 -0.3290557 -0.3464318 3.1104998 -0.331013 -0.2860509
## X113 2.6947952 -0.3290557 2.8835355 -0.3211537 -0.331013 -0.2860509
## X114 -0.3706955 -0.3290557 -0.3464318 -0.3211537 3.017853 -0.2860509
## X115 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X116 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X117 2.6947952 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X118 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X119 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X120 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X121 -0.3706955 -0.3290557 -0.3464318 3.1104998 -0.331013 -0.2860509
## X122 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X123 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X124 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X125 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X126 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X127 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X128 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X129 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X130 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X131 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X132 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X133 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X134 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X135 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X136 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X137 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X138 -0.3706955 -0.3290557 -0.3464318 3.1104998 -0.331013 -0.2860509
## X139 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X140 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X141 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X142 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X143 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X144 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X145 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X146 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X147 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X148 -0.3706955 3.0358039 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X149 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X150 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X151 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X152 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X153 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X154 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X155 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X156 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X157 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X158 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X159 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X160 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X161 2.6947952 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X162 -0.3706955 -0.3290557 -0.3464318 3.1104998 -0.331013 -0.2860509
## X163 -0.3706955 3.0358039 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X164 -0.3706955 -0.3290557 -0.3464318 3.1104998 -0.331013 -0.2860509
## X165 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X166 2.6947952 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X167 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X168 -0.3706955 -0.3290557 -0.3464318 -0.3211537 3.017853 -0.2860509
## X169 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X170 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X171 -0.3706955 -0.3290557 -0.3464318 3.1104998 -0.331013 -0.2860509
## X172 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X173 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 3.4922050
## X174 -0.3706955 -0.3290557 2.8835355 -0.3211537 -0.331013 -0.2860509
## X175 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X176 -0.3706955 -0.3290557 -0.3464318 -0.3211537 3.017853 -0.2860509
## X177 -0.3706955 -0.3290557 -0.3464318 3.1104998 -0.331013 -0.2860509
## X178 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 3.4922050
## X179 -0.3706955 -0.3290557 2.8835355 3.1104998 3.017853 -0.2860509
## X180 -0.3706955 -0.3290557 -0.3464318 3.1104998 -0.331013 3.4922050
## X181 2.6947952 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X182 -0.3706955 -0.3290557 -0.3464318 3.1104998 -0.331013 -0.2860509
## X183 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X184 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X185 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 3.4922050
## X186 2.6947952 -0.3290557 -0.3464318 3.1104998 -0.331013 -0.2860509
## X187 2.6947952 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X188 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X189 2.6947952 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X190 -0.3706955 3.0358039 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X191 -0.3706955 -0.3290557 -0.3464318 3.1104998 -0.331013 -0.2860509
## X192 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X193 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X194 -0.3706955 -0.3290557 -0.3464318 3.1104998 -0.331013 -0.2860509
## X195 -0.3706955 3.0358039 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X196 -0.3706955 -0.3290557 -0.3464318 3.1104998 -0.331013 -0.2860509
## X197 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X198 -0.3706955 -0.3290557 -0.3464318 -0.3211537 3.017853 -0.2860509
## X199 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X200 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X201 2.6947952 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X202 -0.3706955 -0.3290557 -0.3464318 3.1104998 -0.331013 3.4922050
## X203 -0.3706955 -0.3290557 -0.3464318 3.1104998 -0.331013 -0.2860509
## X204 -0.3706955 3.0358039 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X205 -0.3706955 -0.3290557 -0.3464318 3.1104998 -0.331013 -0.2860509
## X206 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X207 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X208 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X209 -0.3706955 3.0358039 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X210 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X211 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X212 -0.3706955 -0.3290557 -0.3464318 3.1104998 -0.331013 -0.2860509
## X213 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X214 -0.3706955 -0.3290557 -0.3464318 3.1104998 -0.331013 -0.2860509
## X215 -0.3706955 -0.3290557 -0.3464318 3.1104998 -0.331013 -0.2860509
## X216 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X217 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X218 -0.3706955 3.0358039 -0.3464318 -0.3211537 -0.331013 3.4922050
## X219 2.6947952 -0.3290557 2.8835355 -0.3211537 -0.331013 -0.2860509
## X220 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X221 2.6947952 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X222 -0.3706955 -0.3290557 -0.3464318 3.1104998 -0.331013 -0.2860509
## X223 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X224 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X225 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X226 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X227 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X228 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X229 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X230 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X231 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X232 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X233 -0.3706955 -0.3290557 -0.3464318 3.1104998 -0.331013 -0.2860509
## X234 -0.3706955 -0.3290557 -0.3464318 3.1104998 -0.331013 -0.2860509
## X235 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X236 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X237 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X238 -0.3706955 -0.3290557 -0.3464318 3.1104998 -0.331013 -0.2860509
## X239 -0.3706955 -0.3290557 2.8835355 -0.3211537 -0.331013 -0.2860509
## X240 -0.3706955 -0.3290557 -0.3464318 3.1104998 -0.331013 3.4922050
## X241 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X242 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X243 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 3.4922050
## X244 -0.3706955 3.0358039 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X245 -0.3706955 3.0358039 2.8835355 -0.3211537 3.017853 -0.2860509
## X246 -0.3706955 3.0358039 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X247 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X248 2.6947952 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X249 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X250 -0.3706955 -0.3290557 2.8835355 -0.3211537 -0.331013 -0.2860509
## X251 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X252 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X253 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X254 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X255 -0.3706955 -0.3290557 2.8835355 -0.3211537 -0.331013 -0.2860509
## X256 2.6947952 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X257 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X258 -0.3706955 -0.3290557 -0.3464318 -0.3211537 3.017853 -0.2860509
## X259 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X260 -0.3706955 -0.3290557 2.8835355 -0.3211537 -0.331013 -0.2860509
## X261 -0.3706955 -0.3290557 -0.3464318 -0.3211537 3.017853 -0.2860509
## X262 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X263 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X264 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X265 -0.3706955 -0.3290557 -0.3464318 -0.3211537 3.017853 -0.2860509
## X266 -0.3706955 -0.3290557 -0.3464318 -0.3211537 3.017853 -0.2860509
## X267 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X268 2.6947952 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X269 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X270 2.6947952 -0.3290557 -0.3464318 -0.3211537 -0.331013 3.4922050
## X271 -0.3706955 -0.3290557 2.8835355 -0.3211537 -0.331013 -0.2860509
## X272 -0.3706955 3.0358039 -0.3464318 -0.3211537 3.017853 -0.2860509
## X273 2.6947952 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X274 -0.3706955 -0.3290557 -0.3464318 3.1104998 -0.331013 -0.2860509
## X275 2.6947952 -0.3290557 2.8835355 -0.3211537 -0.331013 -0.2860509
## X276 -0.3706955 -0.3290557 2.8835355 -0.3211537 -0.331013 -0.2860509
## X277 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X278 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X279 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X280 -0.3706955 3.0358039 -0.3464318 -0.3211537 -0.331013 3.4922050
## X281 -0.3706955 3.0358039 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X282 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X283 -0.3706955 3.0358039 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X284 -0.3706955 -0.3290557 -0.3464318 3.1104998 -0.331013 -0.2860509
## X285 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X286 -0.3706955 3.0358039 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X287 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X288 -0.3706955 -0.3290557 2.8835355 -0.3211537 -0.331013 3.4922050
## X289 -0.3706955 -0.3290557 -0.3464318 3.1104998 -0.331013 3.4922050
## X290 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X291 -0.3706955 -0.3290557 -0.3464318 -0.3211537 3.017853 -0.2860509
## X292 -0.3706955 3.0358039 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X293 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 3.4922050
## X294 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X295 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X296 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X297 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X298 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X299 -0.3706955 -0.3290557 -0.3464318 3.1104998 -0.331013 -0.2860509
## X300 2.6947952 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X301 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X302 -0.3706955 -0.3290557 -0.3464318 -0.3211537 3.017853 -0.2860509
## X303 -0.3706955 -0.3290557 -0.3464318 -0.3211537 3.017853 -0.2860509
## X304 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X305 2.6947952 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X306 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X307 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X308 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 3.4922050
## X309 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X310 -0.3706955 -0.3290557 -0.3464318 3.1104998 -0.331013 -0.2860509
## X311 2.6947952 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X312 -0.3706955 -0.3290557 -0.3464318 3.1104998 -0.331013 3.4922050
## X313 2.6947952 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X314 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X315 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X316 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X317 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X318 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X319 -0.3706955 3.0358039 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X320 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X321 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 3.4922050
## X322 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X323 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X324 2.6947952 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X325 -0.3706955 3.0358039 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X326 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X327 -0.3706955 3.0358039 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X328 -0.3706955 -0.3290557 2.8835355 -0.3211537 -0.331013 -0.2860509
## X329 2.6947952 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X330 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X331 -0.3706955 3.0358039 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X332 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X333 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X334 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X335 2.6947952 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X336 -0.3706955 3.0358039 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X337 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X338 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X339 -0.3706955 3.0358039 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X340 -0.3706955 -0.3290557 2.8835355 -0.3211537 -0.331013 3.4922050
## X341 2.6947952 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X342 -0.3706955 3.0358039 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X343 -0.3706955 -0.3290557 -0.3464318 3.1104998 -0.331013 -0.2860509
## X344 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X345 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X346 -0.3706955 -0.3290557 -0.3464318 3.1104998 3.017853 -0.2860509
## X347 -0.3706955 -0.3290557 2.8835355 3.1104998 3.017853 -0.2860509
## X348 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X349 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X350 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X351 2.6947952 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X352 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X353 2.6947952 3.0358039 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X354 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X355 2.6947952 -0.3290557 2.8835355 -0.3211537 -0.331013 -0.2860509
## X356 -0.3706955 3.0358039 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X357 -0.3706955 -0.3290557 -0.3464318 3.1104998 -0.331013 -0.2860509
## X358 2.6947952 -0.3290557 2.8835355 -0.3211537 -0.331013 -0.2860509
## X359 -0.3706955 -0.3290557 -0.3464318 3.1104998 3.017853 -0.2860509
## X360 -0.3706955 -0.3290557 -0.3464318 3.1104998 -0.331013 -0.2860509
## X361 2.6947952 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X362 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X363 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X364 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X365 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X366 -0.3706955 3.0358039 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X367 -0.3706955 3.0358039 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X368 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X369 -0.3706955 -0.3290557 -0.3464318 -0.3211537 3.017853 -0.2860509
## X370 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X371 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X372 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 3.4922050
## X373 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X374 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X375 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X376 -0.3706955 -0.3290557 -0.3464318 3.1104998 -0.331013 -0.2860509
## X377 -0.3706955 -0.3290557 2.8835355 3.1104998 3.017853 -0.2860509
## X378 2.6947952 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X379 2.6947952 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X380 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X381 2.6947952 -0.3290557 2.8835355 -0.3211537 -0.331013 -0.2860509
## X382 -0.3706955 3.0358039 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X383 -0.3706955 -0.3290557 -0.3464318 3.1104998 -0.331013 -0.2860509
## X384 -0.3706955 -0.3290557 -0.3464318 3.1104998 -0.331013 -0.2860509
## X385 -0.3706955 -0.3290557 2.8835355 -0.3211537 3.017853 -0.2860509
## X386 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X387 2.6947952 -0.3290557 -0.3464318 -0.3211537 -0.331013 3.4922050
## X388 -0.3706955 3.0358039 -0.3464318 -0.3211537 -0.331013 3.4922050
## X389 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X390 2.6947952 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X391 -0.3706955 -0.3290557 2.8835355 3.1104998 3.017853 -0.2860509
## X392 2.6947952 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X393 -0.3706955 -0.3290557 -0.3464318 -0.3211537 3.017853 -0.2860509
## X394 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X395 2.6947952 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X396 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X397 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X398 -0.3706955 -0.3290557 -0.3464318 -0.3211537 3.017853 -0.2860509
## X399 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X400 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X401 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X402 -0.3706955 -0.3290557 2.8835355 -0.3211537 -0.331013 3.4922050
## X403 2.6947952 -0.3290557 -0.3464318 -0.3211537 -0.331013 3.4922050
## X404 2.6947952 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X405 -0.3706955 -0.3290557 -0.3464318 3.1104998 -0.331013 -0.2860509
## X406 -0.3706955 3.0358039 2.8835355 -0.3211537 -0.331013 -0.2860509
## X407 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X408 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X409 -0.3706955 -0.3290557 -0.3464318 3.1104998 -0.331013 -0.2860509
## X410 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X411 -0.3706955 -0.3290557 -0.3464318 3.1104998 -0.331013 3.4922050
## X412 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X413 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X414 2.6947952 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X415 -0.3706955 3.0358039 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X416 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X417 -0.3706955 3.0358039 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X418 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 3.4922050
## X419 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X420 -0.3706955 3.0358039 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X421 -0.3706955 -0.3290557 2.8835355 -0.3211537 -0.331013 -0.2860509
## X422 -0.3706955 -0.3290557 2.8835355 -0.3211537 -0.331013 -0.2860509
## X423 -0.3706955 -0.3290557 -0.3464318 3.1104998 -0.331013 -0.2860509
## X424 -0.3706955 -0.3290557 2.8835355 -0.3211537 -0.331013 -0.2860509
## X425 -0.3706955 -0.3290557 -0.3464318 3.1104998 -0.331013 -0.2860509
## X426 -0.3706955 3.0358039 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X427 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X428 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X429 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X430 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X431 -0.3706955 3.0358039 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X432 -0.3706955 -0.3290557 2.8835355 -0.3211537 -0.331013 -0.2860509
## X433 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X434 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X435 2.6947952 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X436 -0.3706955 3.0358039 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X437 -0.3706955 -0.3290557 2.8835355 3.1104998 -0.331013 -0.2860509
## X438 -0.3706955 -0.3290557 -0.3464318 3.1104998 -0.331013 -0.2860509
## X439 -0.3706955 -0.3290557 -0.3464318 -0.3211537 3.017853 -0.2860509
## X440 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X441 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X442 -0.3706955 -0.3290557 -0.3464318 3.1104998 -0.331013 3.4922050
## X443 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X444 2.6947952 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X445 2.6947952 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X446 -0.3706955 -0.3290557 -0.3464318 -0.3211537 3.017853 -0.2860509
## X447 2.6947952 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X448 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X449 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X450 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X451 2.6947952 -0.3290557 2.8835355 -0.3211537 -0.331013 -0.2860509
## X452 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 3.4922050
## X453 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 -0.2860509
## X454 -0.3706955 -0.3290557 -0.3464318 -0.3211537 -0.331013 3.4922050
## FP184 FP185 FP186 FP187 FP188 FP189
## X1 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X2 -0.3029057 3.2755834 -0.2881945 -0.2795515 -0.2707144 3.4662300
## X3 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X4 -0.3029057 3.2755834 -0.2881945 -0.2795515 3.6900455 -0.2881945
## X5 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X6 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X7 3.2978859 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X8 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X9 -0.3029057 3.2755834 -0.2881945 -0.2795515 3.6900455 -0.2881945
## X10 -0.3029057 3.2755834 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X11 -0.3029057 -0.3049681 -0.2881945 3.5733972 -0.2707144 -0.2881945
## X12 -0.3029057 3.2755834 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X13 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X14 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X15 -0.3029057 -0.3049681 -0.2881945 3.5733972 -0.2707144 -0.2881945
## X16 -0.3029057 -0.3049681 3.4662300 -0.2795515 -0.2707144 -0.2881945
## X17 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X18 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 3.4662300
## X19 -0.3029057 3.2755834 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X20 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X21 -0.3029057 -0.3049681 3.4662300 -0.2795515 -0.2707144 -0.2881945
## X22 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 3.4662300
## X23 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X24 -0.3029057 -0.3049681 -0.2881945 3.5733972 -0.2707144 3.4662300
## X25 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X26 -0.3029057 3.2755834 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X27 -0.3029057 -0.3049681 3.4662300 -0.2795515 -0.2707144 3.4662300
## X28 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X29 -0.3029057 -0.3049681 -0.2881945 3.5733972 -0.2707144 -0.2881945
## X30 3.2978859 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X31 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X32 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X33 -0.3029057 3.2755834 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X34 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X35 -0.3029057 -0.3049681 3.4662300 -0.2795515 3.6900455 -0.2881945
## X36 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X37 -0.3029057 3.2755834 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X38 -0.3029057 3.2755834 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X39 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X40 -0.3029057 -0.3049681 -0.2881945 3.5733972 -0.2707144 -0.2881945
## X41 -0.3029057 3.2755834 -0.2881945 -0.2795515 3.6900455 -0.2881945
## X42 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X43 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X44 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 3.4662300
## X45 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X46 -0.3029057 -0.3049681 -0.2881945 3.5733972 -0.2707144 3.4662300
## X47 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X48 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X49 3.2978859 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X50 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X51 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X52 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X53 3.2978859 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X54 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X55 3.2978859 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X56 -0.3029057 3.2755834 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X57 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X58 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X59 -0.3029057 -0.3049681 3.4662300 -0.2795515 -0.2707144 -0.2881945
## X60 -0.3029057 -0.3049681 3.4662300 -0.2795515 -0.2707144 -0.2881945
## X61 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X62 -0.3029057 -0.3049681 3.4662300 -0.2795515 -0.2707144 -0.2881945
## X63 3.2978859 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X64 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X65 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X66 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X67 -0.3029057 -0.3049681 -0.2881945 -0.2795515 3.6900455 3.4662300
## X68 -0.3029057 3.2755834 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X69 -0.3029057 3.2755834 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X70 -0.3029057 3.2755834 -0.2881945 -0.2795515 -0.2707144 3.4662300
## X71 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X72 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X73 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X74 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X75 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X76 -0.3029057 3.2755834 -0.2881945 -0.2795515 3.6900455 -0.2881945
## X77 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X78 3.2978859 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X79 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X80 -0.3029057 -0.3049681 -0.2881945 3.5733972 -0.2707144 -0.2881945
## X81 -0.3029057 3.2755834 -0.2881945 -0.2795515 3.6900455 -0.2881945
## X82 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X83 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 3.4662300
## X84 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X85 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X86 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X87 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X88 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X89 -0.3029057 3.2755834 3.4662300 -0.2795515 -0.2707144 -0.2881945
## X90 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X91 -0.3029057 3.2755834 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X92 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X93 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X94 -0.3029057 -0.3049681 3.4662300 3.5733972 3.6900455 -0.2881945
## X95 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X96 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X97 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X98 3.2978859 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X99 -0.3029057 3.2755834 -0.2881945 -0.2795515 3.6900455 -0.2881945
## X100 3.2978859 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X101 3.2978859 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X102 -0.3029057 -0.3049681 -0.2881945 3.5733972 -0.2707144 3.4662300
## X103 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X104 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X105 -0.3029057 -0.3049681 -0.2881945 3.5733972 -0.2707144 3.4662300
## X106 -0.3029057 3.2755834 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X107 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X108 -0.3029057 3.2755834 -0.2881945 3.5733972 -0.2707144 -0.2881945
## X109 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X110 -0.3029057 -0.3049681 3.4662300 -0.2795515 -0.2707144 -0.2881945
## X111 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X112 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X113 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X114 3.2978859 -0.3049681 -0.2881945 3.5733972 -0.2707144 3.4662300
## X115 3.2978859 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X116 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X117 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X118 3.2978859 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X119 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X120 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X121 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X122 3.2978859 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X123 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 3.4662300
## X124 3.2978859 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X125 3.2978859 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X126 3.2978859 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X127 3.2978859 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X128 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X129 3.2978859 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X130 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X131 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X132 3.2978859 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X133 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X134 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X135 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X136 3.2978859 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X137 3.2978859 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X138 -0.3029057 3.2755834 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X139 3.2978859 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X140 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X141 3.2978859 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X142 3.2978859 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X143 3.2978859 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X144 3.2978859 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X145 3.2978859 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X146 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X147 3.2978859 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X148 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X149 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X150 3.2978859 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X151 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X152 -0.3029057 -0.3049681 -0.2881945 3.5733972 -0.2707144 -0.2881945
## X153 3.2978859 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X154 3.2978859 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X155 3.2978859 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X156 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X157 3.2978859 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X158 3.2978859 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X159 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X160 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X161 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X162 -0.3029057 3.2755834 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X163 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X164 -0.3029057 3.2755834 -0.2881945 -0.2795515 3.6900455 -0.2881945
## X165 3.2978859 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X166 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X167 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X168 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X169 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X170 -0.3029057 -0.3049681 3.4662300 -0.2795515 -0.2707144 3.4662300
## X171 -0.3029057 3.2755834 -0.2881945 -0.2795515 3.6900455 -0.2881945
## X172 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X173 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 3.4662300
## X174 -0.3029057 -0.3049681 -0.2881945 3.5733972 -0.2707144 -0.2881945
## X175 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X176 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 3.4662300
## X177 -0.3029057 3.2755834 -0.2881945 -0.2795515 3.6900455 -0.2881945
## X178 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X179 -0.3029057 3.2755834 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X180 -0.3029057 3.2755834 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X181 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 3.4662300
## X182 -0.3029057 3.2755834 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X183 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X184 3.2978859 -0.3049681 -0.2881945 3.5733972 -0.2707144 -0.2881945
## X185 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X186 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 3.4662300
## X187 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X188 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X189 -0.3029057 -0.3049681 -0.2881945 3.5733972 -0.2707144 3.4662300
## X190 -0.3029057 -0.3049681 3.4662300 -0.2795515 -0.2707144 -0.2881945
## X191 -0.3029057 3.2755834 -0.2881945 3.5733972 -0.2707144 -0.2881945
## X192 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X193 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X194 -0.3029057 3.2755834 -0.2881945 -0.2795515 3.6900455 -0.2881945
## X195 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X196 -0.3029057 3.2755834 -0.2881945 -0.2795515 3.6900455 -0.2881945
## X197 3.2978859 -0.3049681 3.4662300 -0.2795515 -0.2707144 -0.2881945
## X198 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X199 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X200 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X201 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X202 -0.3029057 3.2755834 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X203 -0.3029057 -0.3049681 -0.2881945 -0.2795515 3.6900455 -0.2881945
## X204 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X205 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X206 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X207 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X208 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X209 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X210 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X211 3.2978859 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X212 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X213 3.2978859 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X214 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X215 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X216 3.2978859 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X217 3.2978859 -0.3049681 -0.2881945 3.5733972 -0.2707144 -0.2881945
## X218 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X219 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X220 3.2978859 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X221 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X222 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X223 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X224 3.2978859 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X225 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X226 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X227 3.2978859 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X228 3.2978859 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X229 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X230 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X231 3.2978859 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X232 3.2978859 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X233 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X234 -0.3029057 3.2755834 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X235 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X236 3.2978859 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X237 -0.3029057 -0.3049681 -0.2881945 3.5733972 -0.2707144 -0.2881945
## X238 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X239 3.2978859 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X240 3.2978859 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X241 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X242 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X243 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X244 -0.3029057 -0.3049681 3.4662300 -0.2795515 -0.2707144 -0.2881945
## X245 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X246 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X247 -0.3029057 -0.3049681 3.4662300 -0.2795515 -0.2707144 -0.2881945
## X248 -0.3029057 -0.3049681 -0.2881945 -0.2795515 3.6900455 -0.2881945
## X249 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X250 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X251 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X252 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X253 -0.3029057 -0.3049681 -0.2881945 3.5733972 -0.2707144 -0.2881945
## X254 -0.3029057 3.2755834 3.4662300 3.5733972 -0.2707144 -0.2881945
## X255 3.2978859 -0.3049681 -0.2881945 -0.2795515 -0.2707144 3.4662300
## X256 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X257 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X258 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X259 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X260 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X261 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 3.4662300
## X262 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X263 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X264 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X265 -0.3029057 -0.3049681 -0.2881945 3.5733972 -0.2707144 -0.2881945
## X266 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X267 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X268 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X269 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X270 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X271 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X272 -0.3029057 -0.3049681 3.4662300 -0.2795515 -0.2707144 -0.2881945
## X273 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X274 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 3.4662300
## X275 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X276 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X277 -0.3029057 3.2755834 3.4662300 -0.2795515 -0.2707144 3.4662300
## X278 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X279 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X280 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X281 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X282 3.2978859 -0.3049681 -0.2881945 -0.2795515 -0.2707144 3.4662300
## X283 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X284 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 3.4662300
## X285 -0.3029057 -0.3049681 -0.2881945 -0.2795515 3.6900455 -0.2881945
## X286 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X287 -0.3029057 -0.3049681 3.4662300 -0.2795515 -0.2707144 -0.2881945
## X288 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X289 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X290 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 3.4662300
## X291 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X292 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X293 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X294 -0.3029057 -0.3049681 3.4662300 -0.2795515 -0.2707144 -0.2881945
## X295 -0.3029057 -0.3049681 -0.2881945 3.5733972 -0.2707144 -0.2881945
## X296 -0.3029057 -0.3049681 3.4662300 -0.2795515 -0.2707144 -0.2881945
## X297 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X298 3.2978859 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X299 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X300 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X301 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X302 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X303 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X304 3.2978859 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X305 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X306 3.2978859 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X307 -0.3029057 3.2755834 -0.2881945 -0.2795515 -0.2707144 3.4662300
## X308 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X309 -0.3029057 3.2755834 -0.2881945 -0.2795515 -0.2707144 3.4662300
## X310 -0.3029057 3.2755834 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X311 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X312 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X313 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X314 -0.3029057 -0.3049681 -0.2881945 3.5733972 -0.2707144 -0.2881945
## X315 -0.3029057 -0.3049681 3.4662300 -0.2795515 -0.2707144 -0.2881945
## X316 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X317 -0.3029057 -0.3049681 -0.2881945 3.5733972 -0.2707144 -0.2881945
## X318 -0.3029057 -0.3049681 3.4662300 -0.2795515 -0.2707144 3.4662300
## X319 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X320 -0.3029057 -0.3049681 -0.2881945 3.5733972 -0.2707144 -0.2881945
## X321 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X322 3.2978859 -0.3049681 3.4662300 -0.2795515 -0.2707144 -0.2881945
## X323 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X324 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X325 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X326 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X327 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X328 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X329 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X330 3.2978859 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X331 -0.3029057 -0.3049681 -0.2881945 3.5733972 3.6900455 -0.2881945
## X332 -0.3029057 -0.3049681 -0.2881945 -0.2795515 3.6900455 -0.2881945
## X333 -0.3029057 -0.3049681 3.4662300 -0.2795515 -0.2707144 -0.2881945
## X334 -0.3029057 -0.3049681 3.4662300 -0.2795515 -0.2707144 -0.2881945
## X335 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X336 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X337 -0.3029057 -0.3049681 3.4662300 -0.2795515 -0.2707144 -0.2881945
## X338 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X339 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X340 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X341 -0.3029057 -0.3049681 -0.2881945 -0.2795515 3.6900455 -0.2881945
## X342 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X343 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 3.4662300
## X344 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 3.4662300
## X345 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X346 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X347 -0.3029057 3.2755834 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X348 -0.3029057 3.2755834 3.4662300 -0.2795515 -0.2707144 3.4662300
## X349 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X350 -0.3029057 -0.3049681 -0.2881945 3.5733972 -0.2707144 -0.2881945
## X351 -0.3029057 -0.3049681 3.4662300 -0.2795515 -0.2707144 -0.2881945
## X352 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X353 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X354 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X355 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X356 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X357 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X358 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X359 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X360 -0.3029057 3.2755834 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X361 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X362 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X363 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X364 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X365 3.2978859 -0.3049681 3.4662300 -0.2795515 -0.2707144 -0.2881945
## X366 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X367 3.2978859 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X368 -0.3029057 -0.3049681 -0.2881945 3.5733972 -0.2707144 -0.2881945
## X369 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X370 -0.3029057 -0.3049681 -0.2881945 3.5733972 -0.2707144 -0.2881945
## X371 3.2978859 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X372 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X373 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X374 3.2978859 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X375 -0.3029057 -0.3049681 -0.2881945 3.5733972 -0.2707144 -0.2881945
## X376 -0.3029057 3.2755834 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X377 -0.3029057 3.2755834 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X378 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 3.4662300
## X379 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X380 -0.3029057 -0.3049681 -0.2881945 3.5733972 -0.2707144 -0.2881945
## X381 3.2978859 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X382 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 3.4662300
## X383 -0.3029057 3.2755834 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X384 -0.3029057 3.2755834 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X385 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X386 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X387 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 3.4662300
## X388 3.2978859 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X389 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X390 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 3.4662300
## X391 -0.3029057 3.2755834 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X392 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X393 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X394 3.2978859 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X395 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X396 -0.3029057 -0.3049681 -0.2881945 3.5733972 -0.2707144 -0.2881945
## X397 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X398 -0.3029057 3.2755834 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X399 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X400 -0.3029057 -0.3049681 3.4662300 -0.2795515 -0.2707144 -0.2881945
## X401 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X402 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X403 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X404 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X405 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 3.4662300
## X406 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X407 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X408 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X409 -0.3029057 3.2755834 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X410 3.2978859 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X411 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X412 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X413 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X414 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X415 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X416 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X417 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X418 -0.3029057 -0.3049681 -0.2881945 3.5733972 -0.2707144 -0.2881945
## X419 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X420 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X421 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X422 3.2978859 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X423 -0.3029057 3.2755834 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X424 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 3.4662300
## X425 -0.3029057 3.2755834 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X426 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X427 -0.3029057 -0.3049681 -0.2881945 3.5733972 -0.2707144 -0.2881945
## X428 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X429 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X430 -0.3029057 -0.3049681 -0.2881945 -0.2795515 3.6900455 -0.2881945
## X431 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X432 3.2978859 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X433 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X434 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 3.4662300
## X435 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X436 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X437 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X438 -0.3029057 3.2755834 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X439 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X440 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X441 -0.3029057 -0.3049681 -0.2881945 -0.2795515 3.6900455 3.4662300
## X442 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 3.4662300
## X443 3.2978859 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X444 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X445 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X446 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X447 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X448 -0.3029057 3.2755834 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X449 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 3.4662300
## X450 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X451 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X452 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## X453 -0.3029057 -0.3049681 3.4662300 -0.2795515 -0.2707144 -0.2881945
## X454 -0.3029057 -0.3049681 -0.2881945 -0.2795515 -0.2707144 -0.2881945
## FP190 FP191 FP192 FP193 FP194 FP195
## X1 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X2 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X3 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X4 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X5 -0.2795515 -0.2751584 3.9217804 -0.2570485 -0.2500081 -0.2547181
## X6 -0.2795515 3.6304485 3.9217804 -0.2570485 -0.2500081 -0.2547181
## X7 3.5733972 -0.2751584 -0.2547181 3.8862252 -0.2500081 -0.2547181
## X8 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X9 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X10 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X11 -0.2795515 -0.2751584 -0.2547181 3.8862252 -0.2500081 -0.2547181
## X12 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X13 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X14 3.5733972 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X15 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X16 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X17 -0.2795515 -0.2751584 3.9217804 -0.2570485 -0.2500081 -0.2547181
## X18 3.5733972 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X19 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X20 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X21 3.5733972 -0.2751584 -0.2547181 3.8862252 -0.2500081 -0.2547181
## X22 -0.2795515 -0.2751584 3.9217804 -0.2570485 -0.2500081 -0.2547181
## X23 -0.2795515 -0.2751584 3.9217804 -0.2570485 -0.2500081 -0.2547181
## X24 -0.2795515 3.6304485 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X25 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X26 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X27 -0.2795515 -0.2751584 3.9217804 -0.2570485 -0.2500081 -0.2547181
## X28 -0.2795515 -0.2751584 -0.2547181 -0.2570485 3.9956648 -0.2547181
## X29 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X30 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X31 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X32 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X33 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X34 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X35 -0.2795515 3.6304485 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X36 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X37 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X38 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X39 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X40 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X41 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X42 3.5733972 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X43 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X44 3.5733972 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X45 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X46 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X47 -0.2795515 3.6304485 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X48 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X49 3.5733972 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X50 -0.2795515 -0.2751584 -0.2547181 3.8862252 -0.2500081 -0.2547181
## X51 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X52 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X53 -0.2795515 -0.2751584 -0.2547181 3.8862252 -0.2500081 -0.2547181
## X54 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X55 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X56 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X57 -0.2795515 -0.2751584 -0.2547181 -0.2570485 3.9956648 -0.2547181
## X58 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X59 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X60 3.5733972 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X61 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X62 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X63 3.5733972 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X64 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X65 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X66 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X67 3.5733972 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X68 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X69 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X70 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X71 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X72 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X73 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X74 -0.2795515 -0.2751584 3.9217804 -0.2570485 -0.2500081 -0.2547181
## X75 3.5733972 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X76 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X77 -0.2795515 -0.2751584 -0.2547181 3.8862252 -0.2500081 -0.2547181
## X78 -0.2795515 -0.2751584 -0.2547181 -0.2570485 3.9956648 -0.2547181
## X79 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X80 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X81 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X82 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X83 3.5733972 -0.2751584 3.9217804 -0.2570485 -0.2500081 -0.2547181
## X84 -0.2795515 -0.2751584 -0.2547181 3.8862252 -0.2500081 -0.2547181
## X85 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X86 -0.2795515 3.6304485 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X87 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X88 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X89 3.5733972 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X90 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X91 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X92 -0.2795515 -0.2751584 -0.2547181 -0.2570485 3.9956648 -0.2547181
## X93 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X94 -0.2795515 3.6304485 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X95 -0.2795515 -0.2751584 -0.2547181 3.8862252 -0.2500081 -0.2547181
## X96 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X97 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X98 3.5733972 -0.2751584 -0.2547181 3.8862252 -0.2500081 -0.2547181
## X99 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X100 -0.2795515 -0.2751584 -0.2547181 3.8862252 -0.2500081 -0.2547181
## X101 3.5733972 -0.2751584 -0.2547181 3.8862252 -0.2500081 -0.2547181
## X102 -0.2795515 -0.2751584 3.9217804 -0.2570485 -0.2500081 -0.2547181
## X103 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X104 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X105 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X106 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X107 -0.2795515 3.6304485 3.9217804 -0.2570485 -0.2500081 -0.2547181
## X108 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X109 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X110 -0.2795515 3.6304485 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X111 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X112 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X113 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X114 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X115 3.5733972 -0.2751584 -0.2547181 3.8862252 -0.2500081 -0.2547181
## X116 3.5733972 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X117 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X118 3.5733972 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X119 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X120 -0.2795515 -0.2751584 -0.2547181 -0.2570485 3.9956648 -0.2547181
## X121 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X122 -0.2795515 -0.2751584 -0.2547181 3.8862252 -0.2500081 -0.2547181
## X123 -0.2795515 -0.2751584 -0.2547181 3.8862252 -0.2500081 -0.2547181
## X124 3.5733972 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X125 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X126 3.5733972 -0.2751584 -0.2547181 3.8862252 -0.2500081 -0.2547181
## X127 3.5733972 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X128 3.5733972 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X129 3.5733972 -0.2751584 -0.2547181 3.8862252 -0.2500081 -0.2547181
## X130 -0.2795515 -0.2751584 -0.2547181 3.8862252 -0.2500081 -0.2547181
## X131 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X132 3.5733972 -0.2751584 -0.2547181 3.8862252 -0.2500081 -0.2547181
## X133 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X134 3.5733972 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X135 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X136 -0.2795515 -0.2751584 -0.2547181 3.8862252 -0.2500081 -0.2547181
## X137 3.5733972 -0.2751584 -0.2547181 3.8862252 -0.2500081 -0.2547181
## X138 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X139 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X140 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X141 3.5733972 -0.2751584 -0.2547181 3.8862252 -0.2500081 -0.2547181
## X142 -0.2795515 -0.2751584 -0.2547181 3.8862252 -0.2500081 -0.2547181
## X143 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X144 3.5733972 -0.2751584 -0.2547181 3.8862252 -0.2500081 -0.2547181
## X145 3.5733972 -0.2751584 -0.2547181 3.8862252 -0.2500081 -0.2547181
## X146 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X147 -0.2795515 -0.2751584 -0.2547181 3.8862252 -0.2500081 -0.2547181
## X148 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X149 -0.2795515 -0.2751584 -0.2547181 3.8862252 -0.2500081 -0.2547181
## X150 -0.2795515 -0.2751584 -0.2547181 3.8862252 -0.2500081 -0.2547181
## X151 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X152 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X153 -0.2795515 -0.2751584 -0.2547181 3.8862252 -0.2500081 -0.2547181
## X154 -0.2795515 -0.2751584 -0.2547181 3.8862252 -0.2500081 -0.2547181
## X155 3.5733972 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X156 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X157 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X158 -0.2795515 -0.2751584 -0.2547181 3.8862252 -0.2500081 -0.2547181
## X159 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X160 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X161 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X162 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X163 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X164 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X165 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X166 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X167 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X168 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X169 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X170 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X171 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X172 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X173 -0.2795515 -0.2751584 -0.2547181 3.8862252 -0.2500081 -0.2547181
## X174 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X175 -0.2795515 3.6304485 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X176 -0.2795515 -0.2751584 3.9217804 -0.2570485 -0.2500081 -0.2547181
## X177 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X178 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X179 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X180 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X181 -0.2795515 -0.2751584 3.9217804 -0.2570485 -0.2500081 -0.2547181
## X182 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X183 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X184 3.5733972 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X185 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X186 3.5733972 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X187 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X188 -0.2795515 3.6304485 3.9217804 3.8862252 -0.2500081 -0.2547181
## X189 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X190 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X191 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X192 -0.2795515 -0.2751584 -0.2547181 3.8862252 -0.2500081 -0.2547181
## X193 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X194 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X195 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X196 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X197 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X198 -0.2795515 -0.2751584 3.9217804 -0.2570485 -0.2500081 -0.2547181
## X199 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X200 3.5733972 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X201 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X202 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X203 -0.2795515 3.6304485 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X204 -0.2795515 -0.2751584 -0.2547181 3.8862252 -0.2500081 -0.2547181
## X205 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X206 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X207 3.5733972 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X208 3.5733972 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X209 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X210 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X211 3.5733972 -0.2751584 -0.2547181 3.8862252 -0.2500081 -0.2547181
## X212 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X213 3.5733972 -0.2751584 -0.2547181 3.8862252 -0.2500081 -0.2547181
## X214 -0.2795515 3.6304485 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X215 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X216 3.5733972 -0.2751584 -0.2547181 3.8862252 -0.2500081 -0.2547181
## X217 3.5733972 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X218 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X219 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X220 -0.2795515 -0.2751584 -0.2547181 3.8862252 -0.2500081 -0.2547181
## X221 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X222 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X223 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X224 3.5733972 -0.2751584 -0.2547181 3.8862252 -0.2500081 -0.2547181
## X225 -0.2795515 -0.2751584 -0.2547181 3.8862252 -0.2500081 -0.2547181
## X226 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X227 -0.2795515 -0.2751584 -0.2547181 3.8862252 -0.2500081 -0.2547181
## X228 -0.2795515 -0.2751584 -0.2547181 3.8862252 -0.2500081 -0.2547181
## X229 -0.2795515 -0.2751584 -0.2547181 3.8862252 -0.2500081 -0.2547181
## X230 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X231 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X232 -0.2795515 -0.2751584 -0.2547181 3.8862252 -0.2500081 -0.2547181
## X233 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 3.9217804
## X234 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X235 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X236 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X237 3.5733972 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X238 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X239 3.5733972 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X240 -0.2795515 -0.2751584 3.9217804 -0.2570485 -0.2500081 -0.2547181
## X241 -0.2795515 3.6304485 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X242 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X243 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X244 -0.2795515 -0.2751584 -0.2547181 -0.2570485 3.9956648 -0.2547181
## X245 3.5733972 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X246 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X247 -0.2795515 -0.2751584 -0.2547181 -0.2570485 3.9956648 -0.2547181
## X248 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X249 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X250 3.5733972 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X251 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X252 -0.2795515 -0.2751584 3.9217804 -0.2570485 -0.2500081 3.9217804
## X253 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X254 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X255 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X256 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X257 -0.2795515 -0.2751584 -0.2547181 -0.2570485 3.9956648 -0.2547181
## X258 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X259 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X260 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X261 -0.2795515 -0.2751584 -0.2547181 3.8862252 -0.2500081 3.9217804
## X262 -0.2795515 3.6304485 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X263 -0.2795515 3.6304485 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X264 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X265 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X266 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X267 -0.2795515 -0.2751584 -0.2547181 -0.2570485 3.9956648 -0.2547181
## X268 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X269 -0.2795515 -0.2751584 3.9217804 -0.2570485 -0.2500081 -0.2547181
## X270 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X271 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X272 -0.2795515 -0.2751584 3.9217804 -0.2570485 -0.2500081 -0.2547181
## X273 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X274 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 3.9217804
## X275 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X276 -0.2795515 -0.2751584 -0.2547181 -0.2570485 3.9956648 -0.2547181
## X277 -0.2795515 3.6304485 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X278 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 3.9217804
## X279 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X280 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X281 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X282 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X283 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X284 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X285 3.5733972 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X286 -0.2795515 -0.2751584 -0.2547181 -0.2570485 3.9956648 -0.2547181
## X287 -0.2795515 -0.2751584 -0.2547181 -0.2570485 3.9956648 -0.2547181
## X288 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X289 -0.2795515 -0.2751584 3.9217804 -0.2570485 -0.2500081 -0.2547181
## X290 -0.2795515 -0.2751584 -0.2547181 -0.2570485 3.9956648 -0.2547181
## X291 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X292 -0.2795515 -0.2751584 -0.2547181 -0.2570485 3.9956648 -0.2547181
## X293 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X294 -0.2795515 3.6304485 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X295 -0.2795515 -0.2751584 3.9217804 -0.2570485 -0.2500081 -0.2547181
## X296 -0.2795515 -0.2751584 -0.2547181 -0.2570485 3.9956648 -0.2547181
## X297 -0.2795515 3.6304485 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X298 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X299 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 3.9217804
## X300 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X301 -0.2795515 -0.2751584 3.9217804 -0.2570485 -0.2500081 -0.2547181
## X302 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X303 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X304 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 3.9217804
## X305 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X306 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X307 -0.2795515 3.6304485 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X308 -0.2795515 -0.2751584 -0.2547181 3.8862252 -0.2500081 -0.2547181
## X309 -0.2795515 3.6304485 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X310 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X311 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X312 -0.2795515 -0.2751584 3.9217804 -0.2570485 -0.2500081 -0.2547181
## X313 -0.2795515 -0.2751584 3.9217804 -0.2570485 -0.2500081 -0.2547181
## X314 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X315 -0.2795515 3.6304485 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X316 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X317 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X318 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X319 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X320 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X321 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X322 -0.2795515 -0.2751584 3.9217804 -0.2570485 3.9956648 -0.2547181
## X323 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X324 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X325 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X326 3.5733972 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X327 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X328 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X329 -0.2795515 3.6304485 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X330 -0.2795515 -0.2751584 -0.2547181 -0.2570485 3.9956648 -0.2547181
## X331 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X332 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X333 -0.2795515 -0.2751584 3.9217804 -0.2570485 -0.2500081 -0.2547181
## X334 3.5733972 -0.2751584 -0.2547181 -0.2570485 3.9956648 -0.2547181
## X335 -0.2795515 -0.2751584 -0.2547181 -0.2570485 3.9956648 -0.2547181
## X336 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X337 -0.2795515 -0.2751584 -0.2547181 -0.2570485 3.9956648 -0.2547181
## X338 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X339 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X340 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X341 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X342 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X343 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X344 -0.2795515 -0.2751584 -0.2547181 3.8862252 -0.2500081 -0.2547181
## X345 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X346 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 3.9217804
## X347 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X348 -0.2795515 3.6304485 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X349 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X350 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X351 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X352 -0.2795515 -0.2751584 3.9217804 -0.2570485 -0.2500081 -0.2547181
## X353 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X354 -0.2795515 3.6304485 3.9217804 3.8862252 -0.2500081 -0.2547181
## X355 -0.2795515 3.6304485 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X356 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X357 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X358 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X359 -0.2795515 3.6304485 -0.2547181 -0.2570485 -0.2500081 3.9217804
## X360 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X361 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X362 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X363 -0.2795515 -0.2751584 -0.2547181 -0.2570485 3.9956648 -0.2547181
## X364 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X365 -0.2795515 -0.2751584 3.9217804 -0.2570485 -0.2500081 -0.2547181
## X366 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X367 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X368 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X369 -0.2795515 -0.2751584 3.9217804 -0.2570485 -0.2500081 -0.2547181
## X370 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 3.9217804
## X371 3.5733972 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X372 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X373 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X374 3.5733972 -0.2751584 -0.2547181 3.8862252 -0.2500081 3.9217804
## X375 3.5733972 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X376 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X377 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X378 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X379 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X380 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X381 3.5733972 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X382 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X383 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X384 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X385 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X386 -0.2795515 -0.2751584 -0.2547181 -0.2570485 3.9956648 -0.2547181
## X387 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X388 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X389 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X390 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X391 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X392 -0.2795515 -0.2751584 3.9217804 -0.2570485 -0.2500081 -0.2547181
## X393 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X394 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X395 -0.2795515 -0.2751584 -0.2547181 -0.2570485 3.9956648 -0.2547181
## X396 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X397 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X398 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X399 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X400 3.5733972 -0.2751584 3.9217804 -0.2570485 -0.2500081 -0.2547181
## X401 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X402 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X403 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X404 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X405 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X406 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X407 -0.2795515 -0.2751584 -0.2547181 3.8862252 -0.2500081 3.9217804
## X408 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X409 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 3.9217804
## X410 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 3.9217804
## X411 -0.2795515 -0.2751584 -0.2547181 3.8862252 -0.2500081 -0.2547181
## X412 -0.2795515 -0.2751584 -0.2547181 -0.2570485 3.9956648 -0.2547181
## X413 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 3.9217804
## X414 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X415 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X416 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X417 -0.2795515 -0.2751584 -0.2547181 -0.2570485 3.9956648 -0.2547181
## X418 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X419 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X420 3.5733972 3.6304485 3.9217804 -0.2570485 -0.2500081 -0.2547181
## X421 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X422 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X423 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X424 -0.2795515 -0.2751584 -0.2547181 3.8862252 -0.2500081 3.9217804
## X425 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X426 -0.2795515 -0.2751584 -0.2547181 3.8862252 -0.2500081 -0.2547181
## X427 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X428 3.5733972 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X429 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X430 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X431 3.5733972 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X432 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X433 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X434 -0.2795515 -0.2751584 -0.2547181 -0.2570485 3.9956648 -0.2547181
## X435 -0.2795515 3.6304485 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X436 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X437 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X438 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X439 -0.2795515 3.6304485 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X440 3.5733972 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X441 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X442 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X443 -0.2795515 -0.2751584 -0.2547181 3.8862252 -0.2500081 3.9217804
## X444 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X445 -0.2795515 -0.2751584 3.9217804 -0.2570485 -0.2500081 -0.2547181
## X446 3.5733972 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X447 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X448 -0.2795515 -0.2751584 3.9217804 -0.2570485 -0.2500081 -0.2547181
## X449 -0.2795515 3.6304485 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X450 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X451 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X452 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X453 -0.2795515 -0.2751584 -0.2547181 -0.2570485 -0.2500081 -0.2547181
## X454 -0.2795515 -0.2751584 -0.2547181 3.8862252 -0.2500081 -0.2547181
## FP196 FP197 FP198 FP201 FP202 FP203
## X1 -0.2452292 -0.2354475 -0.2452292 4.2427646 -0.5887789 -0.3596075
## X2 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 -0.3596075
## X3 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X4 -0.2452292 4.2427646 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X5 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X6 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X7 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 -0.3596075
## X8 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X9 4.0735297 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X10 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 2.7778855
## X11 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 -0.3596075
## X12 4.0735297 4.2427646 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X13 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 -0.3596075
## X14 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 -0.3596075
## X15 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 2.7778855
## X16 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X17 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X18 -0.2452292 -0.2354475 4.0735297 -0.2354475 1.6966445 -0.3596075
## X19 4.0735297 4.2427646 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X20 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 -0.3596075
## X21 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 -0.3596075
## X22 -0.2452292 4.2427646 -0.2452292 -0.2354475 1.6966445 -0.3596075
## X23 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X24 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X25 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 2.7778855
## X26 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X27 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 -0.3596075
## X28 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 -0.3596075
## X29 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X30 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X31 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X32 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X33 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X34 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 -0.3596075
## X35 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X36 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 2.7778855
## X37 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X38 4.0735297 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X39 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X40 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 -0.3596075
## X41 4.0735297 4.2427646 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X42 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X43 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 -0.3596075
## X44 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 -0.3596075
## X45 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X46 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 2.7778855
## X47 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X48 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 2.7778855
## X49 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X50 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 2.7778855
## X51 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X52 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X53 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 2.7778855
## X54 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X55 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X56 4.0735297 4.2427646 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X57 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X58 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 -0.3596075
## X59 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X60 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X61 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X62 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X63 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X64 -0.2452292 4.2427646 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X65 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 -0.3596075
## X66 -0.2452292 -0.2354475 4.0735297 -0.2354475 -0.5887789 -0.3596075
## X67 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 -0.3596075
## X68 4.0735297 4.2427646 4.0735297 -0.2354475 -0.5887789 -0.3596075
## X69 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X70 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 -0.3596075
## X71 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X72 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X73 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X74 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X75 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 2.7778855
## X76 4.0735297 4.2427646 4.0735297 -0.2354475 -0.5887789 -0.3596075
## X77 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 -0.3596075
## X78 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X79 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X80 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X81 4.0735297 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X82 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 -0.3596075
## X83 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 -0.3596075
## X84 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 -0.3596075
## X85 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X86 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X87 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X88 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 2.7778855
## X89 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X90 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X91 4.0735297 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X92 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 -0.3596075
## X93 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X94 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X95 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 -0.3596075
## X96 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X97 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X98 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 2.7778855
## X99 4.0735297 4.2427646 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X100 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 -0.3596075
## X101 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 -0.3596075
## X102 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 -0.3596075
## X103 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X104 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 -0.3596075
## X105 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X106 4.0735297 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X107 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X108 4.0735297 4.2427646 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X109 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X110 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 2.7778855
## X111 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 2.7778855
## X112 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X113 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X114 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X115 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X116 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X117 -0.2452292 -0.2354475 4.0735297 -0.2354475 -0.5887789 -0.3596075
## X118 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 2.7778855
## X119 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X120 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 -0.3596075
## X121 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X122 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 -0.3596075
## X123 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 -0.3596075
## X124 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 -0.3596075
## X125 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 2.7778855
## X126 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X127 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 -0.3596075
## X128 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X129 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X130 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 -0.3596075
## X131 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 -0.3596075
## X132 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X133 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 -0.3596075
## X134 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X135 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 2.7778855
## X136 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 -0.3596075
## X137 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X138 4.0735297 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X139 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X140 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 -0.3596075
## X141 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X142 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 -0.3596075
## X143 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X144 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X145 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X146 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 2.7778855
## X147 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X148 -0.2452292 4.2427646 -0.2452292 -0.2354475 1.6966445 -0.3596075
## X149 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 -0.3596075
## X150 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X151 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 -0.3596075
## X152 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 2.7778855
## X153 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X154 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X155 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X156 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X157 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X158 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X159 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X160 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 2.7778855
## X161 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X162 4.0735297 4.2427646 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X163 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X164 4.0735297 4.2427646 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X165 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X166 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 2.7778855
## X167 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X168 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X169 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X170 -0.2452292 4.2427646 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X171 4.0735297 4.2427646 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X172 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X173 -0.2452292 -0.2354475 -0.2452292 4.2427646 1.6966445 -0.3596075
## X174 -0.2452292 -0.2354475 -0.2452292 4.2427646 -0.5887789 -0.3596075
## X175 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X176 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 -0.3596075
## X177 4.0735297 4.2427646 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X178 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X179 4.0735297 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X180 4.0735297 4.2427646 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X181 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 -0.3596075
## X182 4.0735297 4.2427646 4.0735297 -0.2354475 -0.5887789 -0.3596075
## X183 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 -0.3596075
## X184 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 -0.3596075
## X185 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X186 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X187 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X188 -0.2452292 4.2427646 -0.2452292 -0.2354475 1.6966445 -0.3596075
## X189 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 -0.3596075
## X190 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X191 4.0735297 4.2427646 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X192 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 2.7778855
## X193 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 2.7778855
## X194 4.0735297 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X195 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 -0.3596075
## X196 4.0735297 4.2427646 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X197 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X198 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X199 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X200 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 2.7778855
## X201 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 2.7778855
## X202 4.0735297 4.2427646 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X203 4.0735297 -0.2354475 -0.2452292 -0.2354475 1.6966445 2.7778855
## X204 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X205 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X206 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X207 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X208 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X209 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 -0.3596075
## X210 -0.2452292 4.2427646 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X211 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 -0.3596075
## X212 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X213 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X214 4.0735297 -0.2354475 -0.2452292 -0.2354475 1.6966445 2.7778855
## X215 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X216 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X217 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 -0.3596075
## X218 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X219 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X220 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 2.7778855
## X221 -0.2452292 -0.2354475 4.0735297 -0.2354475 -0.5887789 -0.3596075
## X222 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X223 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 -0.3596075
## X224 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X225 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 -0.3596075
## X226 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 -0.3596075
## X227 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X228 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X229 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 -0.3596075
## X230 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 -0.3596075
## X231 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X232 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X233 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 2.7778855
## X234 4.0735297 4.2427646 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X235 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X236 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X237 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X238 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X239 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X240 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X241 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X242 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X243 -0.2452292 -0.2354475 -0.2452292 4.2427646 -0.5887789 -0.3596075
## X244 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X245 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X246 -0.2452292 4.2427646 -0.2452292 -0.2354475 1.6966445 2.7778855
## X247 -0.2452292 -0.2354475 -0.2452292 4.2427646 -0.5887789 -0.3596075
## X248 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X249 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X250 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X251 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X252 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 2.7778855
## X253 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X254 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X255 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X256 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X257 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X258 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X259 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X260 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 -0.3596075
## X261 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 -0.3596075
## X262 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X263 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X264 -0.2452292 -0.2354475 -0.2452292 4.2427646 -0.5887789 -0.3596075
## X265 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X266 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X267 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X268 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X269 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X270 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X271 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 -0.3596075
## X272 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X273 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X274 4.0735297 4.2427646 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X275 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X276 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X277 -0.2452292 -0.2354475 -0.2452292 4.2427646 -0.5887789 -0.3596075
## X278 -0.2452292 -0.2354475 -0.2452292 4.2427646 -0.5887789 -0.3596075
## X279 -0.2452292 -0.2354475 -0.2452292 4.2427646 1.6966445 -0.3596075
## X280 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X281 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 -0.3596075
## X282 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X283 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X284 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 -0.3596075
## X285 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X286 -0.2452292 -0.2354475 -0.2452292 4.2427646 -0.5887789 -0.3596075
## X287 -0.2452292 -0.2354475 -0.2452292 4.2427646 -0.5887789 -0.3596075
## X288 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X289 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X290 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 2.7778855
## X291 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X292 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X293 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X294 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X295 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X296 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X297 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 2.7778855
## X298 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X299 -0.2452292 4.2427646 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X300 -0.2452292 -0.2354475 4.0735297 -0.2354475 -0.5887789 -0.3596075
## X301 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 2.7778855
## X302 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X303 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X304 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X305 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 2.7778855
## X306 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 -0.3596075
## X307 -0.2452292 -0.2354475 -0.2452292 4.2427646 1.6966445 -0.3596075
## X308 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X309 -0.2452292 -0.2354475 -0.2452292 4.2427646 1.6966445 -0.3596075
## X310 4.0735297 4.2427646 4.0735297 -0.2354475 -0.5887789 -0.3596075
## X311 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X312 4.0735297 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X313 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X314 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X315 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X316 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X317 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X318 -0.2452292 4.2427646 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X319 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 2.7778855
## X320 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X321 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 2.7778855
## X322 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X323 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 -0.3596075
## X324 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X325 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X326 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X327 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 -0.3596075
## X328 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 2.7778855
## X329 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X330 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X331 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X332 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X333 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X334 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X335 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X336 -0.2452292 4.2427646 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X337 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X338 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 -0.3596075
## X339 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 2.7778855
## X340 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X341 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X342 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X343 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 -0.3596075
## X344 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 -0.3596075
## X345 -0.2452292 -0.2354475 -0.2452292 4.2427646 1.6966445 -0.3596075
## X346 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X347 4.0735297 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X348 -0.2452292 -0.2354475 -0.2452292 4.2427646 -0.5887789 -0.3596075
## X349 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 2.7778855
## X350 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 -0.3596075
## X351 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X352 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X353 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X354 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 -0.3596075
## X355 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X356 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X357 4.0735297 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X358 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X359 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X360 4.0735297 4.2427646 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X361 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 2.7778855
## X362 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 -0.3596075
## X363 -0.2452292 -0.2354475 -0.2452292 4.2427646 -0.5887789 -0.3596075
## X364 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X365 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X366 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X367 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 -0.3596075
## X368 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X369 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 -0.3596075
## X370 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 2.7778855
## X371 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X372 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 2.7778855
## X373 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 -0.3596075
## X374 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 -0.3596075
## X375 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X376 4.0735297 4.2427646 4.0735297 -0.2354475 -0.5887789 -0.3596075
## X377 4.0735297 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X378 -0.2452292 4.2427646 -0.2452292 -0.2354475 1.6966445 -0.3596075
## X379 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X380 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X381 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X382 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X383 4.0735297 4.2427646 4.0735297 -0.2354475 -0.5887789 -0.3596075
## X384 4.0735297 4.2427646 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X385 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 2.7778855
## X386 -0.2452292 -0.2354475 -0.2452292 4.2427646 -0.5887789 -0.3596075
## X387 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 2.7778855
## X388 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X389 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X390 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 2.7778855
## X391 4.0735297 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X392 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X393 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 2.7778855
## X394 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 -0.3596075
## X395 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X396 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X397 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 2.7778855
## X398 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X399 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 2.7778855
## X400 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X401 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 -0.3596075
## X402 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X403 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X404 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X405 4.0735297 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X406 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X407 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 -0.3596075
## X408 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X409 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X410 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X411 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X412 -0.2452292 -0.2354475 -0.2452292 4.2427646 1.6966445 -0.3596075
## X413 -0.2452292 -0.2354475 -0.2452292 4.2427646 -0.5887789 -0.3596075
## X414 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X415 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X416 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 2.7778855
## X417 -0.2452292 -0.2354475 -0.2452292 4.2427646 -0.5887789 -0.3596075
## X418 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X419 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 2.7778855
## X420 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X421 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 -0.3596075
## X422 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X423 4.0735297 4.2427646 4.0735297 -0.2354475 -0.5887789 -0.3596075
## X424 -0.2452292 -0.2354475 -0.2452292 4.2427646 -0.5887789 -0.3596075
## X425 4.0735297 -0.2354475 4.0735297 -0.2354475 -0.5887789 -0.3596075
## X426 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 -0.3596075
## X427 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X428 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X429 -0.2452292 4.2427646 -0.2452292 -0.2354475 1.6966445 -0.3596075
## X430 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X431 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X432 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X433 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X434 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 2.7778855
## X435 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X436 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X437 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X438 4.0735297 4.2427646 4.0735297 -0.2354475 -0.5887789 -0.3596075
## X439 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X440 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X441 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 2.7778855
## X442 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X443 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X444 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X445 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X446 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X447 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X448 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X449 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X450 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X451 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X452 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X453 -0.2452292 -0.2354475 -0.2452292 -0.2354475 -0.5887789 -0.3596075
## X454 -0.2452292 -0.2354475 -0.2452292 -0.2354475 1.6966445 -0.3596075
## FP204 FP205 FP206 FP207 FP208 MolWeight
## X1 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.304017769
## X2 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.474751336
## X3 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.284237960
## X4 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 -0.579130036
## X5 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.508214019
## X6 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.846130172
## X7 -0.331013 -0.2903271 -0.2523714 4.0735297 -0.3558707 1.343679568
## X8 3.017853 -0.2903271 3.9582469 -0.2452292 -0.3558707 0.223329553
## X9 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.536294032
## X10 -0.331013 -0.2903271 -0.2523714 -0.2452292 2.8070547 0.531725024
## X11 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.513009822
## X12 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.981923863
## X13 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 -0.294344540
## X14 -0.331013 -0.2903271 -0.2523714 4.0735297 -0.3558707 -0.211043577
## X15 -0.331013 -0.2903271 -0.2523714 -0.2452292 2.8070547 -0.403319666
## X16 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.513009822
## X17 3.017853 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.174798750
## X18 -0.331013 -0.2903271 -0.2523714 4.0735297 -0.3558707 1.683069116
## X19 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.996447520
## X20 -0.331013 3.4407687 -0.2523714 -0.2452292 -0.3558707 -0.294344540
## X21 -0.331013 -0.2903271 -0.2523714 4.0735297 -0.3558707 0.880198541
## X22 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.923239370
## X23 3.017853 3.4407687 -0.2523714 -0.2452292 -0.3558707 1.144391553
## X24 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.836745684
## X25 -0.331013 -0.2903271 -0.2523714 -0.2452292 2.8070547 1.649573481
## X26 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.038577746
## X27 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.252510849
## X28 -0.331013 3.4407687 -0.2523714 -0.2452292 -0.3558707 0.158871193
## X29 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.792852769
## X30 -0.331013 3.4407687 -0.2523714 -0.2452292 -0.3558707 -0.094205025
## X31 3.017853 -0.2903271 3.9582469 -0.2452292 -0.3558707 -0.771172819
## X32 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 -1.218301524
## X33 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 -0.982753213
## X34 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 -0.294344540
## X35 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.636103875
## X36 -0.331013 -0.2903271 -0.2523714 -0.2452292 2.8070547 -0.321429192
## X37 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 -0.982753213
## X38 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.706734262
## X39 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.831678296
## X40 -0.331013 3.4407687 -0.2523714 -0.2452292 -0.3558707 0.929168040
## X41 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.675379106
## X42 -0.331013 3.4407687 -0.2523714 -0.2452292 -0.3558707 0.750468797
## X43 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.291891037
## X44 -0.331013 -0.2903271 -0.2523714 4.0735297 -0.3558707 1.522316745
## X45 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.508214019
## X46 -0.331013 3.4407687 -0.2523714 -0.2452292 2.8070547 1.257699471
## X47 3.017853 -0.2903271 3.9582469 -0.2452292 -0.3558707 -0.982753213
## X48 -0.331013 -0.2903271 -0.2523714 -0.2452292 2.8070547 0.026037466
## X49 -0.331013 -0.2903271 -0.2523714 4.0735297 -0.3558707 0.989629709
## X50 -0.331013 -0.2903271 -0.2523714 -0.2452292 2.8070547 0.635848282
## X51 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.163654675
## X52 3.017853 -0.2903271 3.9582469 -0.2452292 -0.3558707 -1.218301524
## X53 -0.331013 -0.2903271 -0.2523714 -0.2452292 2.8070547 0.098097256
## X54 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.237099891
## X55 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.378611406
## X56 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.052782459
## X57 3.017853 -0.2903271 3.9582469 -0.2452292 -0.3558707 0.558425111
## X58 -0.331013 3.4407687 -0.2523714 -0.2452292 -0.3558707 0.060245711
## X59 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.400858350
## X60 -0.331013 -0.2903271 -0.2523714 4.0735297 -0.3558707 1.430265786
## X61 3.017853 -0.2903271 3.9582469 -0.2452292 -0.3558707 0.223329553
## X62 3.017853 -0.2903271 3.9582469 -0.2452292 -0.3558707 0.072232210
## X63 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.378611406
## X64 -0.331013 3.4407687 -0.2523714 -0.2452292 -0.3558707 -0.321429192
## X65 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.907820092
## X66 3.017853 -0.2903271 3.9582469 -0.2452292 -0.3558707 0.072790642
## X67 -0.331013 -0.2903271 -0.2523714 4.0735297 -0.3558707 1.889098307
## X68 3.017853 -0.2903271 -0.2523714 -0.2452292 -0.3558707 2.027107324
## X69 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 -0.982753213
## X70 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.135094949
## X71 -0.331013 3.4407687 -0.2523714 -0.2452292 -0.3558707 -0.294344540
## X72 3.017853 -0.2903271 3.9582469 -0.2452292 -0.3558707 0.475066868
## X73 -0.331013 3.4407687 -0.2523714 -0.2452292 -0.3558707 0.201609653
## X74 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.039771029
## X75 -0.331013 3.4407687 -0.2523714 -0.2452292 2.8070547 0.098097256
## X76 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.834687162
## X77 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 -0.165345469
## X78 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.710001130
## X79 -0.331013 3.4407687 -0.2523714 -0.2452292 -0.3558707 -0.115366351
## X80 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.803708352
## X81 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.677549637
## X82 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 -0.152986644
## X83 -0.331013 -0.2903271 -0.2523714 4.0735297 -0.3558707 1.190653352
## X84 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.188302449
## X85 -0.331013 3.4407687 -0.2523714 -0.2452292 -0.3558707 1.163654675
## X86 3.017853 -0.2903271 3.9582469 -0.2452292 -0.3558707 -0.737607576
## X87 3.017853 -0.2903271 3.9582469 -0.2452292 -0.3558707 0.147051515
## X88 -0.331013 -0.2903271 -0.2523714 -0.2452292 2.8070547 0.719516934
## X89 -0.331013 -0.2903271 -0.2523714 4.0735297 -0.3558707 2.101817743
## X90 3.017853 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.162199568
## X91 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.978779123
## X92 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.148236508
## X93 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.865295430
## X94 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.135296034
## X95 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.303418106
## X96 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 2.675894881
## X97 3.017853 -0.2903271 3.9582469 -0.2452292 -0.3558707 -0.945628244
## X98 -0.331013 -0.2903271 -0.2523714 4.0735297 2.8070547 0.447081835
## X99 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.327364381
## X100 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.447081835
## X101 -0.331013 -0.2903271 -0.2523714 4.0735297 -0.3558707 0.447081835
## X102 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.398910560
## X103 3.017853 -0.2903271 3.9582469 -0.2452292 -0.3558707 0.496130384
## X104 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.735984417
## X105 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.378795179
## X106 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.108515489
## X107 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.017548306
## X108 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.956176482
## X109 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.580162693
## X110 -0.331013 -0.2903271 -0.2523714 -0.2452292 2.8070547 1.380821445
## X111 3.017853 -0.2903271 -0.2523714 -0.2452292 2.8070547 1.147725526
## X112 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.317009930
## X113 3.017853 -0.2903271 3.9582469 -0.2452292 -0.3558707 0.953373701
## X114 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.355892859
## X115 -0.331013 3.4407687 -0.2523714 4.0735297 -0.3558707 0.745867382
## X116 -0.331013 3.4407687 -0.2523714 4.0735297 -0.3558707 1.136435150
## X117 3.017853 -0.2903271 3.9582469 -0.2452292 -0.3558707 0.364681635
## X118 -0.331013 -0.2903271 -0.2523714 -0.2452292 2.8070547 0.745867382
## X119 -0.331013 3.4407687 -0.2523714 -0.2452292 -0.3558707 0.242973688
## X120 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.627652706
## X121 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.560421390
## X122 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.745867382
## X123 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.630165630
## X124 -0.331013 -0.2903271 -0.2523714 4.0735297 -0.3558707 1.184902006
## X125 -0.331013 -0.2903271 -0.2523714 -0.2452292 2.8070547 0.447081835
## X126 -0.331013 3.4407687 -0.2523714 4.0735297 -0.3558707 1.007095938
## X127 -0.331013 -0.2903271 -0.2523714 4.0735297 -0.3558707 1.198080407
## X128 -0.331013 -0.2903271 -0.2523714 4.0735297 -0.3558707 0.447081835
## X129 -0.331013 -0.2903271 -0.2523714 4.0735297 -0.3558707 1.007095938
## X130 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.382560531
## X131 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.495036672
## X132 -0.331013 3.4407687 -0.2523714 4.0735297 -0.3558707 1.007095938
## X133 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.284137074
## X134 -0.331013 -0.2903271 -0.2523714 4.0735297 -0.3558707 1.184902006
## X135 -0.331013 -0.2903271 -0.2523714 -0.2452292 2.8070547 0.513371322
## X136 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.239163633
## X137 -0.331013 -0.2903271 -0.2523714 4.0735297 -0.3558707 1.007095938
## X138 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.737322938
## X139 -0.331013 3.4407687 -0.2523714 -0.2452292 -0.3558707 1.007095938
## X140 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.823597252
## X141 -0.331013 -0.2903271 -0.2523714 4.0735297 -0.3558707 1.447932035
## X142 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.239163633
## X143 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.447932035
## X144 -0.331013 -0.2903271 -0.2523714 4.0735297 -0.3558707 1.447932035
## X145 -0.331013 -0.2903271 -0.2523714 4.0735297 -0.3558707 1.007095938
## X146 -0.331013 -0.2903271 -0.2523714 -0.2452292 2.8070547 1.239163633
## X147 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.637655670
## X148 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.831600743
## X149 -0.331013 3.4407687 -0.2523714 -0.2452292 -0.3558707 0.703248097
## X150 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.447932035
## X151 -0.331013 3.4407687 -0.2523714 -0.2452292 -0.3558707 0.703248097
## X152 -0.331013 3.4407687 -0.2523714 -0.2452292 2.8070547 1.552263693
## X153 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.447932035
## X154 -0.331013 3.4407687 -0.2523714 -0.2452292 -0.3558707 1.447932035
## X155 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.447932035
## X156 -0.331013 3.4407687 -0.2523714 -0.2452292 -0.3558707 0.703248097
## X157 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.811520606
## X158 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.811520606
## X159 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 2.120939599
## X160 -0.331013 -0.2903271 -0.2523714 -0.2452292 2.8070547 -0.115977627
## X161 3.017853 -0.2903271 3.9582469 -0.2452292 -0.3558707 -0.603559640
## X162 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.080766715
## X163 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 -0.403319666
## X164 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.675379106
## X165 -0.331013 3.4407687 -0.2523714 -0.2452292 -0.3558707 0.016880687
## X166 3.017853 -0.2903271 -0.2523714 -0.2452292 2.8070547 -0.610215946
## X167 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.563194962
## X168 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.611250316
## X169 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.769013180
## X170 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.574200229
## X171 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 2.035474501
## X172 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 -0.982753213
## X173 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.270551909
## X174 -0.331013 3.4407687 -0.2523714 -0.2452292 -0.3558707 0.936481465
## X175 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.476723028
## X176 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.952788440
## X177 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.747037108
## X178 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.815641020
## X179 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.623602913
## X180 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.038647958
## X181 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.952788440
## X182 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.834687162
## X183 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.049093577
## X184 -0.331013 -0.2903271 -0.2523714 4.0735297 -0.3558707 1.269483899
## X185 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.847285078
## X186 -0.331013 -0.2903271 -0.2523714 4.0735297 -0.3558707 1.532919242
## X187 3.017853 -0.2903271 3.9582469 -0.2452292 -0.3558707 -0.009904078
## X188 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.900780208
## X189 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.701175131
## X190 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.907670555
## X191 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.882368345
## X192 -0.331013 -0.2903271 -0.2523714 -0.2452292 2.8070547 0.448387506
## X193 -0.331013 -0.2903271 -0.2523714 -0.2452292 2.8070547 0.026494249
## X194 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.175127549
## X195 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 -0.294344540
## X196 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.327058775
## X197 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.214275611
## X198 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.095780590
## X199 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.771569118
## X200 -0.331013 -0.2903271 -0.2523714 4.0735297 2.8070547 0.098097256
## X201 3.017853 -0.2903271 3.9582469 -0.2452292 2.8070547 -0.215143211
## X202 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.815953602
## X203 -0.331013 3.4407687 -0.2523714 -0.2452292 2.8070547 1.387244764
## X204 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.459034034
## X205 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.413034907
## X206 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.812356063
## X207 -0.331013 -0.2903271 -0.2523714 4.0735297 -0.3558707 1.341677499
## X208 -0.331013 3.4407687 -0.2523714 -0.2452292 -0.3558707 0.447081835
## X209 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.137547205
## X210 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.304417449
## X211 -0.331013 -0.2903271 -0.2523714 4.0735297 -0.3558707 0.745867382
## X212 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.560421390
## X213 -0.331013 -0.2903271 -0.2523714 4.0735297 -0.3558707 0.745867382
## X214 -0.331013 3.4407687 -0.2523714 -0.2452292 2.8070547 1.616540792
## X215 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.518473204
## X216 -0.331013 -0.2903271 -0.2523714 4.0735297 -0.3558707 1.007095938
## X217 -0.331013 -0.2903271 -0.2523714 4.0735297 -0.3558707 1.410804929
## X218 -0.331013 3.4407687 -0.2523714 -0.2452292 -0.3558707 1.745837809
## X219 3.017853 -0.2903271 3.9582469 -0.2452292 -0.3558707 0.737283220
## X220 -0.331013 -0.2903271 -0.2523714 -0.2452292 2.8070547 1.007095938
## X221 3.017853 -0.2903271 3.9582469 -0.2452292 -0.3558707 0.620626671
## X222 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.471104074
## X223 -0.331013 3.4407687 -0.2523714 -0.2452292 -0.3558707 0.703248097
## X224 -0.331013 -0.2903271 -0.2523714 4.0735297 -0.3558707 1.239163633
## X225 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.382560531
## X226 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.495036672
## X227 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.447932035
## X228 -0.331013 3.4407687 -0.2523714 -0.2452292 -0.3558707 1.447932035
## X229 -0.331013 3.4407687 -0.2523714 -0.2452292 -0.3558707 0.703248097
## X230 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.495036672
## X231 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.447932035
## X232 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.971974745
## X233 -0.331013 -0.2903271 -0.2523714 -0.2452292 2.8070547 0.703000619
## X234 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.981923863
## X235 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.998810596
## X236 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.387897880
## X237 -0.331013 -0.2903271 -0.2523714 4.0735297 -0.3558707 1.410804929
## X238 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.712430972
## X239 -0.331013 -0.2903271 -0.2523714 4.0735297 -0.3558707 0.427774521
## X240 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.975155875
## X241 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 -1.960986946
## X242 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 -0.455773295
## X243 -0.331013 3.4407687 -0.2523714 -0.2452292 -0.3558707 -0.447297107
## X244 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.024063318
## X245 -0.331013 -0.2903271 -0.2523714 4.0735297 -0.3558707 0.366815837
## X246 -0.331013 -0.2903271 -0.2523714 -0.2452292 2.8070547 0.392161232
## X247 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.922422855
## X248 3.017853 -0.2903271 3.9582469 -0.2452292 -0.3558707 -0.489295914
## X249 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 -1.632068261
## X250 -0.331013 3.4407687 -0.2523714 -0.2452292 -0.3558707 -0.289953121
## X251 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 -0.983309595
## X252 -0.331013 -0.2903271 -0.2523714 -0.2452292 2.8070547 0.808360205
## X253 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.243179485
## X254 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.736065616
## X255 -0.331013 3.4407687 -0.2523714 -0.2452292 -0.3558707 0.630729830
## X256 3.017853 -0.2903271 3.9582469 -0.2452292 -0.3558707 -0.254497849
## X257 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 -0.390166117
## X258 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 -1.089862985
## X259 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 -1.960986946
## X260 -0.331013 3.4407687 -0.2523714 -0.2452292 -0.3558707 0.071003132
## X261 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.601744921
## X262 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 -1.632068261
## X263 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 -1.960986946
## X264 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.002838576
## X265 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 -0.507220812
## X266 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 -0.725281754
## X267 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.048980624
## X268 3.017853 -0.2903271 3.9582469 -0.2452292 -0.3558707 -0.267476312
## X269 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.808360205
## X270 3.017853 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.158871193
## X271 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.667472628
## X272 -0.331013 3.4407687 -0.2523714 -0.2452292 -0.3558707 0.948173754
## X273 3.017853 -0.2903271 3.9582469 -0.2452292 -0.3558707 -1.089862985
## X274 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.566721151
## X275 3.017853 -0.2903271 3.9582469 -0.2452292 -0.3558707 -0.267476312
## X276 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.611681349
## X277 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.226628531
## X278 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 -0.190792410
## X279 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 -0.008626296
## X280 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 -0.289288562
## X281 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 -1.098274791
## X282 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.774201646
## X283 -0.331013 3.4407687 -0.2523714 -0.2452292 -0.3558707 -1.098274791
## X284 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.239546173
## X285 -0.331013 -0.2903271 -0.2523714 4.0735297 -0.3558707 -0.123326972
## X286 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.800109202
## X287 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.995515874
## X288 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.827201901
## X289 -0.331013 3.4407687 -0.2523714 -0.2452292 -0.3558707 1.881712881
## X290 -0.331013 -0.2903271 -0.2523714 -0.2452292 2.8070547 0.433604324
## X291 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 -0.364519110
## X292 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.823597252
## X293 -0.331013 3.4407687 -0.2523714 -0.2452292 -0.3558707 -0.242509175
## X294 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 -0.404021657
## X295 -0.331013 3.4407687 -0.2523714 -0.2452292 -0.3558707 0.915283282
## X296 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.134223355
## X297 -0.331013 -0.2903271 -0.2523714 -0.2452292 2.8070547 -0.043759055
## X298 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.399810034
## X299 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.686767950
## X300 3.017853 -0.2903271 3.9582469 -0.2452292 -0.3558707 -0.459952245
## X301 -0.331013 -0.2903271 -0.2523714 -0.2452292 2.8070547 -0.389468783
## X302 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.430503397
## X303 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.486632405
## X304 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.033797758
## X305 3.017853 -0.2903271 -0.2523714 -0.2452292 2.8070547 0.736309194
## X306 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 -0.421224013
## X307 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.024487502
## X308 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.079045894
## X309 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.024487502
## X310 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.445796891
## X311 3.017853 -0.2903271 3.9582469 -0.2452292 -0.3558707 -0.832540404
## X312 -0.331013 3.4407687 -0.2523714 -0.2452292 -0.3558707 1.881712881
## X313 3.017853 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.061817968
## X314 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 -0.107436062
## X315 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 -0.404021657
## X316 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.436794393
## X317 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.271995992
## X318 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.731140385
## X319 -0.331013 -0.2903271 -0.2523714 -0.2452292 2.8070547 0.558159799
## X320 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.605379378
## X321 -0.331013 -0.2903271 -0.2523714 -0.2452292 2.8070547 0.362642398
## X322 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.062383808
## X323 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 -0.152364404
## X324 3.017853 -0.2903271 -0.2523714 -0.2452292 -0.3558707 -1.901900752
## X325 -0.331013 3.4407687 -0.2523714 -0.2452292 -0.3558707 -0.839972199
## X326 -0.331013 3.4407687 -0.2523714 -0.2452292 -0.3558707 0.128651681
## X327 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 -0.839972199
## X328 -0.331013 -0.2903271 -0.2523714 -0.2452292 2.8070547 0.343414497
## X329 3.017853 -0.2903271 -0.2523714 -0.2452292 -0.3558707 -1.581515202
## X330 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 -0.218737027
## X331 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.133955099
## X332 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.774201646
## X333 -0.331013 3.4407687 -0.2523714 -0.2452292 -0.3558707 0.842661605
## X334 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.418526237
## X335 3.017853 -0.2903271 3.9582469 -0.2452292 -0.3558707 0.687183627
## X336 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 -1.303931995
## X337 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.922422855
## X338 -0.331013 3.4407687 -0.2523714 -0.2452292 -0.3558707 0.232450944
## X339 -0.331013 -0.2903271 -0.2523714 -0.2452292 2.8070547 0.232450944
## X340 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.609081003
## X341 3.017853 -0.2903271 3.9582469 -0.2452292 -0.3558707 -0.293545411
## X342 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 -0.839972199
## X343 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.289745203
## X344 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.058701570
## X345 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 -0.008626296
## X346 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.619596479
## X347 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.706734262
## X348 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.226628531
## X349 -0.331013 -0.2903271 -0.2523714 -0.2452292 2.8070547 -0.839972199
## X350 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.072631922
## X351 3.017853 -0.2903271 3.9582469 -0.2452292 -0.3558707 -0.267476312
## X352 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.453788004
## X353 3.017853 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.847208104
## X354 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.915506765
## X355 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.049545329
## X356 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 -0.839972199
## X357 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.966789467
## X358 3.017853 -0.2903271 3.9582469 -0.2452292 -0.3558707 -0.090698960
## X359 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.720253413
## X360 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.066475255
## X361 3.017853 -0.2903271 -0.2523714 -0.2452292 2.8070547 -0.020037904
## X362 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.563194962
## X363 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.686601657
## X364 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 -1.260676413
## X365 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.676599640
## X366 -0.331013 3.4407687 -0.2523714 -0.2452292 -0.3558707 -0.105975307
## X367 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 -0.732339628
## X368 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 -1.532160955
## X369 -0.331013 3.4407687 -0.2523714 -0.2452292 -0.3558707 0.854891424
## X370 -0.331013 -0.2903271 -0.2523714 -0.2452292 2.8070547 1.771027243
## X371 -0.331013 -0.2903271 -0.2523714 4.0735297 -0.3558707 0.016880687
## X372 -0.331013 -0.2903271 -0.2523714 -0.2452292 2.8070547 0.353099452
## X373 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 -0.706360421
## X374 -0.331013 -0.2903271 -0.2523714 4.0735297 -0.3558707 1.205416250
## X375 -0.331013 -0.2903271 -0.2523714 4.0735297 -0.3558707 1.019887558
## X376 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.622913686
## X377 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.623602913
## X378 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.816422389
## X379 3.017853 -0.2903271 3.9582469 -0.2452292 -0.3558707 -1.020552429
## X380 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.570417230
## X381 -0.331013 -0.2903271 -0.2523714 4.0735297 -0.3558707 0.676516088
## X382 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.141453232
## X383 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.633333725
## X384 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.967298146
## X385 -0.331013 3.4407687 -0.2523714 -0.2452292 2.8070547 0.719516934
## X386 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.686601657
## X387 3.017853 -0.2903271 -0.2523714 -0.2452292 2.8070547 1.226307769
## X388 -0.331013 3.4407687 -0.2523714 -0.2452292 -0.3558707 1.412917599
## X389 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.752403196
## X390 3.017853 -0.2903271 -0.2523714 -0.2452292 2.8070547 1.121037974
## X391 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.623602913
## X392 3.017853 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.017548306
## X393 -0.331013 -0.2903271 -0.2523714 -0.2452292 2.8070547 -0.610215946
## X394 -0.331013 3.4407687 -0.2523714 -0.2452292 -0.3558707 -0.211043577
## X395 3.017853 -0.2903271 3.9582469 -0.2452292 -0.3558707 0.430503397
## X396 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 -1.089862985
## X397 -0.331013 -0.2903271 -0.2523714 -0.2452292 2.8070547 0.201609653
## X398 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 -0.293545411
## X399 -0.331013 -0.2903271 -0.2523714 -0.2452292 2.8070547 -0.284112271
## X400 -0.331013 -0.2903271 -0.2523714 4.0735297 -0.3558707 0.366912794
## X401 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.094121874
## X402 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.014240641
## X403 3.017853 -0.2903271 3.9582469 -0.2452292 -0.3558707 0.159406860
## X404 3.017853 -0.2903271 -0.2523714 -0.2452292 -0.3558707 -0.489295914
## X405 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.188446950
## X406 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 -0.580658068
## X407 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 -0.419242736
## X408 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 -1.089862985
## X409 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.784301940
## X410 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.559218908
## X411 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.065435819
## X412 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.678353466
## X413 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 -0.190792410
## X414 3.017853 -0.2903271 3.9582469 -0.2452292 -0.3558707 -0.688575293
## X415 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 -1.098274791
## X416 -0.331013 -0.2903271 -0.2523714 -0.2452292 2.8070547 0.260904394
## X417 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.800109202
## X418 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.495127837
## X419 -0.331013 -0.2903271 -0.2523714 -0.2452292 2.8070547 0.343414497
## X420 -0.331013 -0.2903271 -0.2523714 4.0735297 -0.3558707 0.184958063
## X421 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 -0.362866384
## X422 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.729152370
## X423 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.457427050
## X424 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.086675495
## X425 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.525264217
## X426 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 -0.092028152
## X427 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.083816857
## X428 -0.331013 3.4407687 -0.2523714 -0.2452292 -0.3558707 -0.421224013
## X429 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 -0.875243942
## X430 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.361087352
## X431 -0.331013 -0.2903271 -0.2523714 4.0735297 -0.3558707 -0.732339628
## X432 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.594543822
## X433 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 -1.581515202
## X434 -0.331013 -0.2903271 -0.2523714 -0.2452292 2.8070547 0.813999190
## X435 3.017853 -0.2903271 3.9582469 -0.2452292 -0.3558707 -0.489295914
## X436 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 -0.105975307
## X437 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 2.722777775
## X438 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.445796891
## X439 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 -1.581515202
## X440 -0.331013 -0.2903271 -0.2523714 4.0735297 -0.3558707 -0.421224013
## X441 -0.331013 -0.2903271 -0.2523714 -0.2452292 2.8070547 1.213307444
## X442 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.959436086
## X443 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.991282387
## X444 3.017853 -0.2903271 3.9582469 -0.2452292 -0.3558707 -0.078774283
## X445 3.017853 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.254569455
## X446 -0.331013 3.4407687 -0.2523714 -0.2452292 -0.3558707 0.357292051
## X447 3.017853 -0.2903271 3.9582469 -0.2452292 -0.3558707 -0.090698960
## X448 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.373978500
## X449 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.959436086
## X450 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 2.401813942
## X451 3.017853 -0.2903271 3.9582469 -0.2452292 -0.3558707 0.072232210
## X452 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.980480348
## X453 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 0.381694291
## X454 -0.331013 -0.2903271 -0.2523714 -0.2452292 -0.3558707 1.705409579
## NumBonds NumMultBonds NumRotBonds NumDblBonds NumCarbon NumNitrogen
## X1 0.49840233 1.90489650 -0.9347280 -0.831341597 0.85821946 1.0008314
## X2 1.69828720 1.32482715 0.7260405 -0.831341597 1.80408084 1.8438701
## X3 0.69697444 0.16468846 0.7260405 -0.005212173 0.70131917 -0.6852460
## X4 0.20728011 -0.80209379 -0.5195359 0.820917251 0.18177643 -0.6852460
## X5 0.56629095 -0.02866799 1.1412327 -0.831341597 -0.01199386 3.5299475
## X6 0.56629095 -0.80209379 1.1412327 0.820917251 0.18177643 0.1577927
## X7 0.99793817 2.29160940 -0.5195359 -0.005212173 1.29203392 2.6869088
## X8 0.94039386 -0.99545024 3.2171934 -0.005212173 0.53699786 -0.6852460
## X9 1.99292450 -0.41538089 -0.5195359 2.473176098 1.92274051 -0.6852460
## X10 0.99793817 0.16468846 -0.1043438 -0.005212173 0.85821946 1.0008314
## X11 0.63244961 0.55140136 -0.1043438 1.647046674 0.85821946 -0.6852460
## X12 1.69828720 -0.80209379 -0.9347280 0.820917251 1.55615914 -0.6852460
## X13 0.12893412 0.93811425 -0.9347280 -0.831341597 0.53699786 -0.6852460
## X14 -0.40240913 0.93811425 -0.9347280 -0.831341597 0.18177643 -0.6852460
## X15 0.28325136 -0.02866799 -0.1043438 -0.831341597 0.36423857 -0.6852460
## X16 0.63244961 1.13147070 0.3108484 -0.005212173 0.85821946 -0.6852460
## X17 1.36999732 0.35804491 2.3868091 0.820917251 0.70131917 2.6869088
## X18 1.87027471 1.13147070 1.5564248 -0.831341597 1.80408084 1.8438701
## X19 1.78555525 -0.99545024 -0.9347280 -0.005212173 1.55615914 -0.6852460
## X20 0.12893412 0.93811425 -0.5195359 -0.831341597 0.53699786 -0.6852460
## X21 0.63244961 1.32482715 -0.1043438 -0.005212173 1.00853037 -0.6852460
## X22 1.46773946 1.13147070 0.7260405 -0.831341597 1.55615914 1.0008314
## X23 1.46773946 0.16468846 2.3868091 -0.005212173 1.29203392 0.1577927
## X24 0.88159159 -0.80209379 0.7260405 0.820917251 0.18177643 2.6869088
## X25 1.46773946 0.55140136 3.2171934 1.647046674 0.85821946 0.1577927
## X26 1.16359252 0.55140136 0.3108484 1.647046674 0.85821946 1.0008314
## X27 1.56220886 1.13147070 1.1412327 -0.831341597 1.55615914 1.0008314
## X28 0.28325136 1.90489650 -0.9347280 -0.831341597 0.70131917 1.0008314
## X29 1.31981693 0.16468846 0.7260405 -0.005212173 1.15294194 0.1577927
## X30 -1.09071695 0.16468846 -0.9347280 -0.831341597 -0.44251753 0.1577927
## X31 0.04803954 -0.99545024 1.1412327 -0.831341597 -0.01199386 -0.6852460
## X32 -0.12219740 -1.18880668 -0.1043438 -0.831341597 -0.44251753 -0.6852460
## X33 0.04803954 -1.18880668 -0.9347280 -0.831341597 -0.21915966 -0.6852460
## X34 0.12893412 0.93811425 -0.9347280 -0.831341597 0.53699786 -0.6852460
## X35 0.82146772 0.55140136 0.3108484 1.647046674 1.00853037 -0.6852460
## X36 -0.03559810 1.13147070 -0.5195359 -0.831341597 0.53699786 -0.6852460
## X37 0.04803954 -1.18880668 -0.9347280 -0.831341597 -0.21915966 -0.6852460
## X38 2.47286768 -0.99545024 0.7260405 -0.005212173 2.15069776 -0.6852460
## X39 1.16359252 1.32482715 0.7260405 -0.005212173 1.42629884 -0.6852460
## X40 0.56629095 1.32482715 0.3108484 -0.005212173 0.85821946 0.1577927
## X41 2.11068236 -0.22202444 0.7260405 3.299305521 2.03820634 -0.6852460
## X42 0.12893412 0.35804491 0.3108484 -0.005212173 0.36423857 0.1577927
## X43 -0.40240913 0.93811425 -0.9347280 -0.831341597 0.18177643 -0.6852460
## X44 1.69828720 1.13147070 0.7260405 -0.831341597 1.68198027 1.8438701
## X45 0.56629095 -0.02866799 0.7260405 -0.831341597 -0.01199386 3.5299475
## X46 1.10948462 1.71154005 -0.1043438 1.647046674 1.55615914 0.1577927
## X47 -0.03559810 -0.99545024 1.1412327 -0.005212173 -0.21915966 -0.6852460
## X48 0.12893412 1.32482715 -0.1043438 -0.005212173 0.53699786 1.0008314
## X49 0.12893412 1.13147070 -0.1043438 -0.831341597 0.53699786 -0.6852460
## X50 0.63244961 1.32482715 0.3108484 -0.005212173 1.00853037 -0.6852460
## X51 -1.22934392 -0.02866799 -0.9347280 -0.831341597 -0.68595798 -0.6852460
## X52 -0.12219740 -1.18880668 0.7260405 -0.831341597 -0.44251753 -0.6852460
## X53 -0.03559810 1.13147070 -0.5195359 -0.831341597 0.53699786 -0.6852460
## X54 0.12893412 -0.02866799 0.7260405 -0.831341597 -0.44251753 3.5299475
## X55 -1.22934392 -0.02866799 -0.9347280 -0.831341597 -0.68595798 -0.6852460
## X56 1.65364219 -0.60873734 -0.9347280 0.820917251 1.68198027 -0.6852460
## X57 0.99793817 0.16468846 2.3868091 -0.005212173 0.85821946 0.1577927
## X58 -0.21200528 1.32482715 -0.5195359 0.820917251 0.36423857 0.1577927
## X59 1.26871571 0.55140136 0.3108484 1.647046674 1.29203392 -0.6852460
## X60 1.26871571 2.29160940 0.7260405 0.820917251 1.55615914 0.1577927
## X61 0.94039386 -0.99545024 3.2171934 -0.005212173 0.53699786 -0.6852460
## X62 0.75995351 -0.99545024 2.8020012 -0.005212173 0.36423857 -0.6852460
## X63 -1.22934392 -0.02866799 -0.9347280 -0.831341597 -0.68595798 -0.6852460
## X64 0.04803954 0.93811425 -0.9347280 -0.831341597 0.53699786 -0.6852460
## X65 1.21665476 0.35804491 2.3868091 0.820917251 1.15294194 -0.6852460
## X66 0.99793817 -1.18880668 3.2171934 -0.831341597 0.53699786 -0.6852460
## X67 2.07194628 1.32482715 2.3868091 -0.005212173 2.03820634 1.8438701
## X68 2.54041376 -0.22202444 1.9716169 3.299305521 2.47218708 -0.6852460
## X69 0.04803954 -1.18880668 -0.1043438 -0.831341597 -0.21915966 -0.6852460
## X70 1.46773946 1.13147070 -0.1043438 -0.831341597 1.55615914 1.0008314
## X71 0.12893412 0.93811425 -0.9347280 -0.831341597 0.53699786 -0.6852460
## X72 -0.12219740 -1.18880668 0.7260405 -0.831341597 -0.44251753 -0.6852460
## X73 0.49840233 1.13147070 -0.1043438 -0.831341597 0.85821946 -0.6852460
## X74 0.82146772 -0.80209379 1.9716169 0.820917251 0.18177643 1.0008314
## X75 -0.03559810 1.13147070 -0.5195359 -0.831341597 0.53699786 -0.6852460
## X76 2.22396656 -0.22202444 0.7260405 3.299305521 2.15069776 -0.6852460
## X77 0.12893412 1.13147070 -0.9347280 -0.831341597 0.70131917 -0.6852460
## X78 0.28325136 1.13147070 -0.5195359 -0.831341597 0.53699786 1.0008314
## X79 0.35700394 0.93811425 -0.9347280 -0.831341597 0.70131917 -0.6852460
## X80 1.05428349 1.32482715 1.1412327 -0.005212173 1.29203392 -0.6852460
## X81 1.95260717 -0.02866799 0.3108484 4.125434945 2.03820634 -0.6852460
## X82 0.04803954 1.71154005 -0.9347280 -0.831341597 0.53699786 0.1577927
## X83 1.21665476 1.13147070 0.7260405 -0.831341597 1.29203392 1.0008314
## X84 0.20728011 0.74475780 -0.5195359 2.473176098 0.53699786 0.1577927
## X85 -1.22934392 -0.02866799 -0.9347280 -0.831341597 -0.68595798 -0.6852460
## X86 0.20728011 -0.99545024 1.5564248 -0.005212173 -0.01199386 -0.6852460
## X87 0.12893412 -1.18880668 1.1412327 -0.831341597 -0.21915966 -0.6852460
## X88 0.75995351 1.51818360 1.1412327 0.820917251 1.15294194 -0.6852460
## X89 2.14892180 1.90489650 2.3868091 2.473176098 2.03820634 1.8438701
## X90 1.26871571 -0.99545024 4.0475776 -0.005212173 0.53699786 -0.6852460
## X91 2.70310385 -0.80209379 1.5564248 0.820917251 2.36752103 0.1577927
## X92 0.35700394 1.90489650 -0.9347280 -0.831341597 0.85821946 0.1577927
## X93 -1.37754378 -0.80209379 -0.9347280 0.820917251 -0.95516548 -0.6852460
## X94 1.82822307 -0.60873734 3.6323855 1.647046674 1.55615914 -0.6852460
## X95 0.20728011 1.51818360 -0.9347280 0.820917251 0.85821946 -0.6852460
## X96 0.88159159 1.32482715 1.1412327 -0.005212173 1.00853037 0.1577927
## X97 0.12893412 -1.18880668 1.1412327 -0.831341597 -0.21915966 -0.6852460
## X98 -0.03559810 1.13147070 -0.5195359 -0.831341597 0.53699786 -0.6852460
## X99 2.03269881 -0.41538089 -0.5195359 2.473176098 2.03820634 -0.6852460
## X100 -0.03559810 1.13147070 -0.5195359 -0.831341597 0.53699786 -0.6852460
## X101 -0.03559810 1.13147070 -0.5195359 -0.831341597 0.53699786 -0.6852460
## X102 1.36999732 1.13147070 0.7260405 -0.831341597 1.42629884 1.0008314
## X103 1.26871571 -0.99545024 4.0475776 -0.005212173 0.85821946 -0.6852460
## X104 0.82146772 3.06503519 -0.5195359 -0.831341597 1.42629884 1.0008314
## X105 0.35700394 -0.60873734 -0.1043438 1.647046674 0.18177643 0.1577927
## X106 1.82822307 -1.18880668 -0.9347280 -0.831341597 1.55615914 -0.6852460
## X107 1.41929339 1.51818360 0.7260405 0.820917251 1.55615914 1.8438701
## X108 2.60651481 -0.41538089 1.5564248 2.473176098 2.47218708 -0.6852460
## X109 1.10948462 -0.80209379 4.0475776 0.820917251 -0.01199386 -0.6852460
## X110 1.46773946 2.48496584 1.1412327 1.647046674 1.80408084 0.1577927
## X111 1.31981693 1.51818360 2.8020012 0.820917251 1.55615914 -0.6852460
## X112 0.04803954 -0.80209379 -0.9347280 0.820917251 0.18177643 -0.6852460
## X113 1.82822307 -0.99545024 5.7083462 -0.005212173 1.42629884 -0.6852460
## X114 1.16359252 0.35804491 0.7260405 0.820917251 1.00853037 1.0008314
## X115 -0.03559810 1.13147070 -0.5195359 -0.831341597 0.53699786 -0.6852460
## X116 0.56629095 1.51818360 -0.1043438 0.820917251 0.85821946 1.0008314
## X117 1.31981693 -1.18880668 4.0475776 -0.831341597 0.85821946 -0.6852460
## X118 -0.03559810 1.13147070 -0.5195359 -0.831341597 0.53699786 -0.6852460
## X119 0.42867850 2.48496584 -0.9347280 -0.831341597 1.15294194 -0.6852460
## X120 0.82146772 2.87167874 -0.9347280 -0.831341597 1.42629884 0.1577927
## X121 0.56629095 -0.99545024 -0.9347280 -0.005212173 0.53699786 -0.6852460
## X122 -0.03559810 1.13147070 -0.5195359 -0.831341597 0.53699786 -0.6852460
## X123 1.16359252 0.55140136 1.9716169 1.647046674 0.85821946 0.1577927
## X124 0.28325136 1.32482715 -0.1043438 -0.005212173 0.85821946 -0.6852460
## X125 -0.03559810 1.13147070 -0.5195359 -0.831341597 0.53699786 -0.6852460
## X126 -0.03559810 1.13147070 -0.5195359 -0.831341597 0.53699786 -0.6852460
## X127 0.42867850 1.13147070 -0.1043438 -0.831341597 0.85821946 -0.6852460
## X128 -0.03559810 1.13147070 -0.5195359 -0.831341597 0.53699786 -0.6852460
## X129 -0.03559810 1.13147070 -0.5195359 -0.831341597 0.53699786 -0.6852460
## X130 0.63244961 2.09825295 -0.9347280 -0.831341597 1.29203392 -0.6852460
## X131 0.69697444 2.87167874 -0.9347280 -0.831341597 1.42629884 -0.6852460
## X132 -0.03559810 1.13147070 -0.5195359 -0.831341597 0.53699786 -0.6852460
## X133 0.63244961 1.90489650 -0.5195359 -0.831341597 1.15294194 -0.6852460
## X134 0.28325136 1.32482715 -0.1043438 -0.005212173 0.85821946 -0.6852460
## X135 0.75995351 2.29160940 -0.1043438 -0.831341597 1.42629884 -0.6852460
## X136 -0.03559810 1.13147070 -0.5195359 -0.831341597 0.53699786 -0.6852460
## X137 -0.03559810 1.13147070 -0.5195359 -0.831341597 0.53699786 -0.6852460
## X138 2.63904482 -0.99545024 -0.9347280 -0.005212173 2.47218708 -0.6852460
## X139 -0.03559810 1.13147070 -0.5195359 -0.831341597 0.53699786 -0.6852460
## X140 0.99793817 3.64510454 -0.9347280 -0.831341597 1.68198027 0.1577927
## X141 -0.03559810 1.13147070 -0.5195359 -0.831341597 0.53699786 -0.6852460
## X142 -0.03559810 1.13147070 -0.5195359 -0.831341597 0.53699786 -0.6852460
## X143 -0.03559810 1.13147070 -0.5195359 -0.831341597 0.53699786 -0.6852460
## X144 -0.03559810 1.13147070 -0.5195359 -0.831341597 0.53699786 -0.6852460
## X145 -0.03559810 1.13147070 -0.5195359 -0.831341597 0.53699786 -0.6852460
## X146 -0.03559810 1.13147070 -0.5195359 -0.831341597 0.53699786 -0.6852460
## X147 -0.03559810 1.13147070 -0.5195359 -0.831341597 0.53699786 -0.6852460
## X148 1.16359252 2.87167874 -0.9347280 -0.831341597 1.80408084 -0.6852460
## X149 0.88159159 3.45174809 -0.9347280 -0.831341597 1.68198027 -0.6852460
## X150 -0.03559810 1.13147070 -0.5195359 -0.831341597 0.53699786 -0.6852460
## X151 0.88159159 3.45174809 -0.9347280 -0.831341597 1.68198027 -0.6852460
## X152 1.46773946 3.25839164 0.7260405 -0.831341597 1.92274051 1.8438701
## X153 -0.03559810 1.13147070 -0.5195359 -0.831341597 0.53699786 -0.6852460
## X154 -0.03559810 1.13147070 -0.5195359 -0.831341597 0.53699786 -0.6852460
## X155 -0.03559810 1.13147070 -0.5195359 -0.831341597 0.53699786 -0.6852460
## X156 0.88159159 3.45174809 -0.9347280 -0.831341597 1.68198027 -0.6852460
## X157 -0.03559810 1.13147070 -0.5195359 -0.831341597 0.53699786 -0.6852460
## X158 -0.03559810 1.13147070 -0.5195359 -0.831341597 0.53699786 -0.6852460
## X159 -0.03559810 1.13147070 -0.5195359 -0.831341597 0.53699786 -0.6852460
## X160 0.04803954 1.13147070 -0.1043438 -0.831341597 0.53699786 -0.6852460
## X161 -0.12219740 -1.18880668 0.7260405 -0.831341597 -0.44251753 -0.6852460
## X162 1.82822307 -0.80209379 -0.9347280 0.820917251 1.68198027 -0.6852460
## X163 0.28325136 -0.02866799 -0.9347280 -0.831341597 0.36423857 -0.6852460
## X164 2.11068236 -0.22202444 0.7260405 3.299305521 2.03820634 -0.6852460
## X165 -1.22934392 -0.02866799 -0.9347280 -0.831341597 -0.68595798 -0.6852460
## X166 0.04803954 -0.02866799 0.3108484 -0.831341597 0.18177643 -0.6852460
## X167 -1.22934392 -0.02866799 -0.9347280 -0.831341597 -0.68595798 -0.6852460
## X168 0.82146772 -0.02866799 1.1412327 -0.831341597 0.18177643 3.5299475
## X169 0.42867850 -0.99545024 2.3868091 -0.005212173 -0.44251753 -0.6852460
## X170 1.74225056 1.32482715 0.3108484 -0.005212173 1.80408084 0.1577927
## X171 2.33314222 -0.02866799 1.5564248 4.125434945 2.26041072 -0.6852460
## X172 0.04803954 -1.18880668 -0.9347280 -0.831341597 -0.21915966 -0.6852460
## X173 0.99793817 1.90489650 -0.1043438 2.473176098 1.00853037 1.8438701
## X174 0.49840233 1.32482715 0.3108484 -0.005212173 0.70131917 1.0008314
## X175 -1.70965649 -0.80209379 -0.5195359 0.820917251 -1.25901822 -0.6852460
## X176 1.21665476 1.13147070 0.3108484 -0.831341597 1.29203392 1.0008314
## X177 2.22396656 -0.41538089 -0.1043438 2.473176098 2.15069776 -0.6852460
## X178 -1.09071695 -0.02866799 -0.9347280 -0.831341597 -0.68595798 -0.6852460
## X179 2.43853015 -0.99545024 0.7260405 -0.005212173 2.15069776 -0.6852460
## X180 1.56220886 0.16468846 -0.9347280 -0.831341597 1.68198027 -0.6852460
## X181 1.21665476 1.13147070 0.7260405 -0.831341597 1.29203392 1.0008314
## X182 2.26079827 -0.41538089 -0.1043438 2.473176098 2.15069776 -0.6852460
## X183 -0.03559810 1.71154005 -0.9347280 -0.831341597 0.53699786 -0.6852460
## X184 0.88159159 2.29160940 0.3108484 -0.831341597 1.29203392 1.0008314
## X185 1.26871571 1.13147070 1.1412327 -0.831341597 1.42629884 -0.6852460
## X186 1.65364219 1.32482715 1.5564248 -0.005212173 1.80408084 0.1577927
## X187 -0.12219740 -1.18880668 0.7260405 -0.831341597 -0.44251753 -0.6852460
## X188 1.41929339 1.32482715 0.3108484 -0.005212173 1.68198027 0.1577927
## X189 1.82822307 1.13147070 0.7260405 -0.831341597 1.80408084 1.8438701
## X190 0.56629095 0.16468846 1.1412327 -0.005212173 0.18177643 -0.6852460
## X191 2.43853015 -0.22202444 1.1412327 3.299305521 2.36752103 -0.6852460
## X192 0.35700394 1.51818360 -0.5195359 0.820917251 0.85821946 0.1577927
## X193 0.42867850 1.13147070 0.3108484 -0.831341597 0.85821946 -0.6852460
## X194 1.95260717 -0.80209379 -0.5195359 0.820917251 1.80408084 -0.6852460
## X195 0.12893412 0.93811425 -0.9347280 -0.831341597 0.53699786 -0.6852460
## X196 1.87027471 -0.41538089 -0.1043438 1.647046674 1.92274051 -0.6852460
## X197 -0.03559810 0.16468846 0.7260405 -0.005212173 -0.44251753 0.1577927
## X198 0.56629095 -0.80209379 1.1412327 0.820917251 0.18177643 0.1577927
## X199 -1.70965649 -0.80209379 -0.5195359 0.820917251 -1.25901822 -0.6852460
## X200 -0.03559810 1.13147070 -0.5195359 -0.831341597 0.53699786 -0.6852460
## X201 0.49840233 -0.02866799 1.1412327 -0.831341597 0.53699786 -0.6852460
## X202 1.16359252 1.13147070 -0.9347280 -0.005212173 1.42629884 -0.6852460
## X203 1.78555525 1.51818360 1.9716169 0.820917251 2.03820634 -0.6852460
## X204 1.05428349 0.55140136 1.5564248 1.647046674 0.85821946 -0.6852460
## X205 0.12893412 -0.80209379 -0.9347280 0.820917251 0.18177643 -0.6852460
## X206 -0.96037479 0.35804491 -0.9347280 -0.831341597 -0.21915966 1.0008314
## X207 0.75995351 0.16468846 2.3868091 -0.005212173 0.36423857 -0.6852460
## X208 -0.03559810 1.13147070 -0.5195359 -0.831341597 0.53699786 -0.6852460
## X209 0.42867850 1.90489650 -0.9347280 -0.831341597 1.00853037 -0.6852460
## X210 0.82146772 0.93811425 -0.9347280 -0.831341597 1.15294194 -0.6852460
## X211 -0.03559810 1.13147070 -0.5195359 -0.831341597 0.53699786 -0.6852460
## X212 0.56629095 -0.99545024 -0.9347280 -0.005212173 0.53699786 -0.6852460
## X213 -0.03559810 1.13147070 -0.5195359 -0.831341597 0.53699786 -0.6852460
## X214 1.51536781 1.51818360 1.9716169 0.820917251 1.80408084 -0.6852460
## X215 0.04803954 -0.80209379 -0.9347280 0.820917251 0.18177643 -0.6852460
## X216 -0.03559810 1.13147070 -0.5195359 -0.831341597 0.53699786 -0.6852460
## X217 0.42867850 1.13147070 -0.1043438 -0.831341597 0.85821946 -0.6852460
## X218 1.69828720 2.48496584 1.5564248 -0.005212173 1.80408084 -0.6852460
## X219 1.56220886 -0.99545024 4.8779619 -0.005212173 1.15294194 -0.6852460
## X220 -0.03559810 1.13147070 -0.5195359 -0.831341597 0.53699786 -0.6852460
## X221 1.60829128 -1.18880668 4.8779619 -0.831341597 1.15294194 -0.6852460
## X222 0.42867850 -0.80209379 -0.9347280 0.820917251 0.53699786 -0.6852460
## X223 0.88159159 3.45174809 -0.9347280 -0.831341597 1.68198027 -0.6852460
## X224 -0.03559810 1.13147070 -0.5195359 -0.831341597 0.53699786 -0.6852460
## X225 0.63244961 2.09825295 -0.9347280 -0.831341597 1.29203392 -0.6852460
## X226 0.69697444 2.87167874 -0.9347280 -0.831341597 1.42629884 -0.6852460
## X227 -0.03559810 1.13147070 -0.5195359 -0.831341597 0.53699786 -0.6852460
## X228 -0.03559810 1.13147070 -0.5195359 -0.831341597 0.53699786 -0.6852460
## X229 0.88159159 3.45174809 -0.9347280 -0.831341597 1.68198027 -0.6852460
## X230 0.69697444 2.87167874 -0.9347280 -0.831341597 1.42629884 -0.6852460
## X231 -0.03559810 1.13147070 -0.5195359 -0.831341597 0.53699786 -0.6852460
## X232 -0.03559810 1.13147070 -0.5195359 -0.831341597 0.53699786 -0.6852460
## X233 0.69697444 1.51818360 -0.1043438 0.820917251 1.00853037 1.0008314
## X234 1.69828720 -0.80209379 -0.9347280 0.820917251 1.55615914 -0.6852460
## X235 -0.50369472 -1.18880668 -0.9347280 -0.831341597 -0.68595798 -0.6852460
## X236 0.42867850 0.16468846 1.5564248 -0.005212173 -0.01199386 0.1577927
## X237 0.42867850 1.13147070 -0.1043438 -0.831341597 0.85821946 -0.6852460
## X238 0.20728011 -0.99545024 -0.9347280 -0.005212173 0.18177643 -0.6852460
## X239 -0.40240913 0.16468846 0.3108484 -0.005212173 -0.21915966 -0.6852460
## X240 1.87027471 0.93811425 -0.1043438 3.299305521 1.80408084 1.0008314
## X241 -0.96037479 -0.99545024 -0.5195359 -0.005212173 -0.95516548 -0.6852460
## X242 -0.83728034 -0.02866799 -0.9347280 -0.831341597 -0.44251753 -0.6852460
## X243 -0.40240913 0.93811425 -0.9347280 -0.831341597 -0.01199386 0.1577927
## X244 0.82146772 1.51818360 0.7260405 0.820917251 0.53699786 2.6869088
## X245 0.12893412 0.16468846 0.3108484 -0.005212173 0.18177643 -0.6852460
## X246 0.63244961 0.35804491 -0.1043438 0.820917251 0.70131917 0.1577927
## X247 0.63244961 1.51818360 0.7260405 0.820917251 0.36423857 2.6869088
## X248 0.28325136 -0.99545024 1.5564248 -0.005212173 -0.01199386 -0.6852460
## X249 -0.72058540 -0.99545024 -0.9347280 -0.005212173 -0.68595798 -0.6852460
## X250 -0.83728034 0.16468846 -0.5195359 -0.005212173 -0.44251753 -0.6852460
## X251 -0.83728034 -0.22202444 -0.5195359 -0.831341597 -0.68595798 -0.6852460
## X252 1.16359252 1.32482715 1.1412327 -0.005212173 1.29203392 1.8438701
## X253 -2.10721958 -1.18880668 -0.9347280 -0.831341597 -2.04708364 -0.6852460
## X254 0.94039386 1.13147070 0.7260405 -0.831341597 1.00853037 1.0008314
## X255 -0.12219740 0.35804491 -0.1043438 0.820917251 -0.01199386 0.1577927
## X256 0.28325136 -0.99545024 1.9716169 -0.005212173 -0.21915966 0.1577927
## X257 -0.12219740 0.16468846 -0.1043438 -0.005212173 -0.01199386 0.1577927
## X258 -0.72058540 -1.18880668 -0.1043438 -0.831341597 -0.95516548 -0.6852460
## X259 -0.83728034 -1.18880668 -0.9347280 -0.831341597 -0.95516548 -0.6852460
## X260 0.12893412 1.13147070 -0.1043438 -0.005212173 0.53699786 -0.6852460
## X261 0.42867850 0.55140136 -0.5195359 1.647046674 0.18177643 1.0008314
## X262 -0.83728034 -0.80209379 0.3108484 0.820917251 -0.68595798 -0.6852460
## X263 -0.96037479 -0.99545024 -0.1043438 -0.005212173 -0.95516548 -0.6852460
## X264 0.04803954 1.90489650 -0.9347280 -0.831341597 0.53699786 1.0008314
## X265 -0.72058540 -1.18880668 -0.5195359 -0.831341597 -0.95516548 -0.6852460
## X266 -1.09071695 -1.18880668 -0.5195359 -0.831341597 -1.25901822 -0.6852460
## X267 0.28325136 1.13147070 -0.5195359 -0.831341597 0.53699786 1.0008314
## X268 0.35700394 -0.99545024 1.9716169 -0.005212173 -0.01199386 -0.6852460
## X269 1.21665476 0.16468846 2.8020012 -0.005212173 1.00853037 0.1577927
## X270 0.35700394 0.16468846 1.1412327 -0.005212173 0.36423857 -0.6852460
## X271 -0.83728034 0.16468846 -0.5195359 -0.005212173 -0.44251753 -0.6852460
## X272 1.16359252 0.16468846 1.1412327 -0.005212173 1.00853037 0.1577927
## X273 -0.72058540 -1.18880668 -0.1043438 -0.831341597 -0.95516548 -0.6852460
## X274 0.75995351 -0.41538089 -0.5195359 2.473176098 0.53699786 1.0008314
## X275 0.35700394 -0.99545024 1.9716169 -0.005212173 -0.01199386 -0.6852460
## X276 -0.72058540 0.16468846 -0.5195359 -0.005212173 -0.68595798 1.0008314
## X277 1.65364219 1.13147070 0.7260405 -0.005212173 1.68198027 1.0008314
## X278 -0.72058540 0.35804491 -0.9347280 0.820917251 -0.68595798 2.6869088
## X279 0.12893412 1.90489650 -0.9347280 -0.831341597 0.70131917 0.1577927
## X280 -0.40240913 -0.02866799 -0.9347280 -0.831341597 -0.21915966 -0.6852460
## X281 -0.50369472 -0.02866799 -0.9347280 -0.831341597 -0.21915966 -0.6852460
## X282 -0.03559810 0.35804491 -0.5195359 0.820917251 -0.01199386 1.0008314
## X283 -0.50369472 -0.02866799 -0.9347280 -0.831341597 -0.21915966 -0.6852460
## X284 1.82822307 -0.02866799 -0.5195359 -0.831341597 1.68198027 1.0008314
## X285 -0.40240913 0.16468846 -0.5195359 -0.005212173 -0.21915966 0.1577927
## X286 0.56629095 1.51818360 0.3108484 0.820917251 0.36423857 2.6869088
## X287 1.10948462 1.13147070 1.1412327 -0.831341597 0.85821946 2.6869088
## X288 0.04803954 0.16468846 0.3108484 -0.005212173 -0.01199386 0.1577927
## X289 1.99292450 0.93811425 -0.1043438 3.299305521 1.92274051 1.0008314
## X290 0.04803954 0.55140136 -0.5195359 1.647046674 0.18177643 1.8438701
## X291 -0.72058540 -1.18880668 -0.5195359 -0.831341597 -0.95516548 -0.6852460
## X292 0.63244961 1.32482715 0.3108484 0.820917251 0.36423857 1.8438701
## X293 -0.21200528 0.93811425 -0.9347280 -0.831341597 0.18177643 -0.6852460
## X294 -0.03559810 0.16468846 0.3108484 -0.005212173 0.18177643 -0.6852460
## X295 1.16359252 0.35804491 0.7260405 0.820917251 0.85821946 1.8438701
## X296 0.88159159 1.51818360 1.1412327 0.820917251 0.53699786 2.6869088
## X297 0.12893412 0.35804491 0.7260405 0.820917251 0.36423857 -0.6852460
## X298 -0.12219740 0.16468846 -0.1043438 -0.005212173 -0.01199386 0.1577927
## X299 0.94039386 -0.41538089 -0.1043438 2.473176098 0.70131917 1.0008314
## X300 0.42867850 -1.18880668 1.9716169 -0.831341597 -0.01199386 -0.6852460
## X301 0.20728011 -0.02866799 0.3108484 -0.831341597 0.18177643 0.1577927
## X302 0.82146772 0.16468846 0.7260405 -0.005212173 0.70131917 0.1577927
## X303 0.63244961 -0.02866799 1.1412327 -0.831341597 -0.01199386 3.5299475
## X304 0.04803954 0.93811425 -0.5195359 3.299305521 -0.44251753 1.8438701
## X305 0.69697444 0.55140136 1.1412327 1.647046674 0.36423857 1.0008314
## X306 -1.22934392 -0.02866799 -0.9347280 -0.831341597 -0.68595798 -0.6852460
## X307 1.46773946 1.13147070 0.3108484 -0.005212173 1.55615914 1.0008314
## X308 0.75995351 1.51818360 -0.5195359 0.820917251 1.00853037 -0.6852460
## X309 1.46773946 1.13147070 0.3108484 -0.005212173 1.55615914 1.0008314
## X310 1.91172984 -0.41538089 -0.1043438 2.473176098 1.80408084 -0.6852460
## X311 -0.40240913 -1.18880668 0.3108484 -0.831341597 -0.68595798 -0.6852460
## X312 1.99292450 0.93811425 -0.1043438 3.299305521 1.92274051 1.0008314
## X313 1.05428349 -1.18880668 2.8020012 -0.831341597 0.53699786 0.1577927
## X314 -2.10721958 -1.18880668 -0.9347280 -0.831341597 -2.04708364 -0.6852460
## X315 -0.03559810 0.16468846 -0.1043438 -0.005212173 0.18177643 -0.6852460
## X316 -1.22934392 -0.02866799 -0.9347280 -0.831341597 -0.68595798 -0.6852460
## X317 -2.92387959 -1.18880668 -0.9347280 -0.831341597 -2.64432555 -0.6852460
## X318 1.91172984 1.32482715 0.7260405 -0.005212173 1.92274051 0.1577927
## X319 0.49840233 0.35804491 -0.1043438 0.820917251 0.53699786 0.1577927
## X320 0.42867850 0.16468846 0.7260405 -0.831341597 -0.01199386 4.3729862
## X321 0.28325136 1.32482715 0.3108484 -0.005212173 0.70131917 -0.6852460
## X322 1.21665476 0.16468846 1.9716169 -0.005212173 0.85821946 1.8438701
## X323 -0.72058540 0.74475780 -0.9347280 -0.831341597 -0.44251753 0.1577927
## X324 -0.72058540 -1.18880668 -0.1043438 -0.831341597 -0.95516548 -0.6852460
## X325 -0.21200528 -0.02866799 -0.9347280 -0.831341597 -0.01199386 -0.6852460
## X326 -1.22934392 -0.02866799 -0.9347280 -0.831341597 -0.68595798 -0.6852460
## X327 -0.21200528 -0.02866799 -0.5195359 -0.831341597 -0.01199386 -0.6852460
## X328 0.42867850 1.32482715 0.3108484 -0.005212173 0.85821946 -0.6852460
## X329 -0.60958681 -0.99545024 0.3108484 -0.005212173 -0.68595798 -0.6852460
## X330 -0.96037479 -0.02866799 -0.9347280 -0.831341597 -0.68595798 0.1577927
## X331 0.69697444 0.55140136 0.3108484 1.647046674 0.36423857 1.0008314
## X332 -0.40240913 0.16468846 -0.5195359 -0.005212173 -0.21915966 0.1577927
## X333 0.99793817 0.16468846 1.1412327 -0.005212173 0.85821946 0.1577927
## X334 -0.30530231 0.16468846 -0.1043438 -0.005212173 -0.21915966 0.1577927
## X335 1.10948462 0.16468846 2.8020012 -0.005212173 0.85821946 1.0008314
## X336 -0.40240913 -0.99545024 -0.9347280 -0.005212173 -0.44251753 -0.6852460
## X337 0.63244961 1.51818360 0.7260405 0.820917251 0.36423857 2.6869088
## X338 0.28325136 1.13147070 -0.1043438 -0.005212173 0.53699786 0.1577927
## X339 0.28325136 1.13147070 -0.1043438 -0.005212173 0.53699786 0.1577927
## X340 -0.72058540 0.16468846 -0.5195359 -0.005212173 -0.44251753 -0.6852460
## X341 0.49840233 -0.99545024 1.9716169 -0.005212173 0.18177643 -0.6852460
## X342 -0.21200528 -0.02866799 -0.9347280 -0.831341597 -0.01199386 -0.6852460
## X343 1.74225056 0.35804491 -0.9347280 0.820917251 1.80408084 1.0008314
## X344 0.75995351 0.55140136 1.1412327 1.647046674 0.53699786 0.1577927
## X345 0.12893412 1.90489650 -0.9347280 -0.831341597 0.70131917 0.1577927
## X346 0.75995351 -0.60873734 0.7260405 1.647046674 0.36423857 1.0008314
## X347 2.47286768 -0.99545024 0.7260405 -0.005212173 2.15069776 -0.6852460
## X348 1.65364219 1.13147070 0.7260405 -0.005212173 1.68198027 1.0008314
## X349 -0.21200528 -0.02866799 -0.1043438 -0.831341597 -0.01199386 -0.6852460
## X350 0.94039386 2.09825295 0.7260405 -0.831341597 1.15294194 1.8438701
## X351 0.35700394 -0.99545024 1.9716169 -0.005212173 -0.01199386 -0.6852460
## X352 0.12893412 -0.80209379 1.1412327 0.820917251 -0.21915966 0.1577927
## X353 0.88159159 0.55140136 1.1412327 1.647046674 0.53699786 1.0008314
## X354 1.31981693 1.32482715 0.3108484 -0.005212173 1.55615914 0.1577927
## X355 0.63244961 -0.80209379 2.8020012 0.820917251 0.36423857 -0.6852460
## X356 -0.21200528 -0.02866799 -0.9347280 -0.831341597 -0.01199386 -0.6852460
## X357 0.99793817 0.35804491 0.7260405 0.820917251 0.70131917 -0.6852460
## X358 0.56629095 -0.99545024 2.3868091 -0.005212173 0.18177643 -0.6852460
## X359 0.82146772 -0.41538089 1.1412327 2.473176098 0.53699786 1.0008314
## X360 1.56220886 -0.41538089 -0.9347280 2.473176098 1.55615914 -0.6852460
## X361 0.28325136 0.16468846 1.1412327 -0.005212173 0.36423857 -0.6852460
## X362 -1.22934392 -0.02866799 -0.9347280 -0.831341597 -0.68595798 -0.6852460
## X363 0.35700394 1.51818360 0.3108484 0.820917251 0.18177643 2.6869088
## X364 -0.21200528 -1.18880668 -0.9347280 -0.831341597 -0.44251753 -0.6852460
## X365 0.12893412 0.16468846 -0.1043438 -0.005212173 -0.01199386 1.0008314
## X366 -0.83728034 -0.02866799 -0.9347280 -0.831341597 -0.44251753 -0.6852460
## X367 -0.83728034 -0.02866799 -0.9347280 -0.831341597 -0.44251753 -0.6852460
## X368 -0.40240913 -1.18880668 -0.5195359 -0.831341597 -0.68595798 -0.6852460
## X369 1.21665476 1.13147070 1.1412327 -0.005212173 1.29203392 0.1577927
## X370 1.26871571 1.90489650 0.3108484 2.473176098 1.00853037 1.8438701
## X371 -1.22934392 -0.02866799 -0.9347280 -0.831341597 -0.68595798 -0.6852460
## X372 0.35700394 1.32482715 -0.1043438 -0.005212173 0.70131917 0.1577927
## X373 -0.40240913 0.93811425 -0.9347280 -0.831341597 0.18177643 -0.6852460
## X374 0.69697444 1.51818360 -0.5195359 0.820917251 1.00853037 1.0008314
## X375 0.94039386 1.13147070 1.1412327 -0.005212173 0.85821946 1.8438701
## X376 2.03269881 -0.41538089 -0.1043438 2.473176098 1.92274051 -0.6852460
## X377 2.43853015 -0.99545024 0.7260405 -0.005212173 2.15069776 -0.6852460
## X378 1.31981693 1.13147070 0.7260405 -0.831341597 1.42629884 1.0008314
## X379 -0.21200528 -0.99545024 0.7260405 -0.831341597 -0.21915966 -0.6852460
## X380 -2.10721958 -1.18880668 -0.9347280 -0.831341597 -2.04708364 -0.6852460
## X381 0.12893412 0.16468846 1.1412327 -0.005212173 0.18177643 -0.6852460
## X382 1.26871571 0.55140136 0.3108484 1.647046674 0.85821946 1.8438701
## X383 1.95260717 -0.41538089 -0.1043438 2.473176098 1.80408084 -0.6852460
## X384 1.60829128 -0.60873734 -0.9347280 1.647046674 1.55615914 -0.6852460
## X385 0.75995351 1.51818360 0.7260405 0.820917251 1.15294194 -0.6852460
## X386 0.35700394 1.51818360 0.3108484 0.820917251 0.18177643 2.6869088
## X387 1.41929339 1.51818360 1.1412327 0.820917251 1.55615914 1.0008314
## X388 1.05428349 1.71154005 0.3108484 1.647046674 1.00853037 1.0008314
## X389 0.28325136 1.13147070 0.3108484 0.820917251 -0.01199386 1.0008314
## X390 1.36999732 1.51818360 1.1412327 0.820917251 1.55615914 1.0008314
## X391 2.43853015 -0.99545024 0.7260405 -0.005212173 2.15069776 -0.6852460
## X392 1.51536781 0.16468846 3.6323855 -0.005212173 1.29203392 0.1577927
## X393 0.04803954 -0.02866799 -0.1043438 -0.831341597 0.18177643 -0.6852460
## X394 -0.40240913 0.93811425 -0.9347280 -0.831341597 0.18177643 -0.6852460
## X395 0.82146772 0.16468846 1.9716169 -0.005212173 0.70131917 0.1577927
## X396 -0.72058540 -1.18880668 -0.5195359 -0.831341597 -0.95516548 -0.6852460
## X397 0.49840233 1.13147070 0.3108484 -0.831341597 0.85821946 -0.6852460
## X398 0.56629095 -1.18880668 -0.5195359 -0.831341597 0.18177643 -0.6852460
## X399 -1.22934392 -0.02866799 -0.9347280 -0.831341597 -0.68595798 -0.6852460
## X400 0.12893412 0.16468846 -0.1043438 -0.005212173 -0.01199386 1.0008314
## X401 0.56629095 0.74475780 0.3108484 -0.831341597 0.53699786 1.0008314
## X402 0.04803954 0.16468846 0.3108484 -0.005212173 -0.01199386 0.1577927
## X403 0.63244961 -0.02866799 1.1412327 -0.831341597 0.53699786 -0.6852460
## X404 0.28325136 -0.99545024 1.5564248 -0.005212173 -0.01199386 -0.6852460
## X405 -0.60958681 -0.80209379 -0.9347280 0.820917251 -0.95516548 1.0008314
## X406 -0.50369472 0.16468846 -0.5195359 -0.005212173 -0.21915966 -0.6852460
## X407 -0.60958681 0.35804491 -0.9347280 0.820917251 -0.21915966 0.1577927
## X408 -0.72058540 -1.18880668 -0.1043438 -0.831341597 -0.95516548 -0.6852460
## X409 1.05428349 -0.41538089 -0.1043438 2.473176098 0.85821946 1.0008314
## X410 0.42867850 0.74475780 -0.5195359 2.473176098 -0.21915966 1.8438701
## X411 0.94039386 0.74475780 -0.9347280 2.473176098 1.15294194 -0.6852460
## X412 0.42867850 1.51818360 0.3108484 0.820917251 0.36423857 1.8438701
## X413 -0.72058540 0.35804491 -0.9347280 0.820917251 -0.68595798 2.6869088
## X414 0.28325136 -1.18880668 1.5564248 -0.831341597 -0.21915966 0.1577927
## X415 -0.50369472 -0.02866799 -0.9347280 -0.831341597 -0.21915966 -0.6852460
## X416 -1.22934392 -0.02866799 -0.9347280 -0.831341597 -0.68595798 -0.6852460
## X417 0.56629095 1.51818360 0.3108484 0.820917251 0.36423857 2.6869088
## X418 0.75995351 1.13147070 -0.1043438 -0.831341597 1.00853037 -0.6852460
## X419 0.42867850 1.32482715 0.3108484 -0.005212173 0.85821946 -0.6852460
## X420 0.20728011 0.16468846 -0.1043438 -0.005212173 0.18177643 1.0008314
## X421 -0.30530231 0.16468846 -0.1043438 -0.005212173 -0.21915966 0.1577927
## X422 -0.40240913 0.16468846 0.3108484 -0.005212173 -0.21915966 -0.6852460
## X423 1.99292450 -0.60873734 -0.1043438 1.647046674 1.80408084 -0.6852460
## X424 1.16359252 0.55140136 0.3108484 1.647046674 0.85821946 3.5299475
## X425 2.03269881 -0.41538089 -0.1043438 2.473176098 1.92274051 -0.6852460
## X426 -0.12219740 0.55140136 -0.9347280 1.647046674 0.36423857 -0.6852460
## X427 -2.10721958 -1.18880668 -0.9347280 -0.831341597 -2.04708364 -0.6852460
## X428 -1.22934392 -0.02866799 -0.9347280 -0.831341597 -0.68595798 -0.6852460
## X429 -0.30530231 -0.02866799 -0.9347280 -0.831341597 -0.01199386 -0.6852460
## X430 -0.40240913 0.16468846 -0.5195359 -0.005212173 -0.21915966 0.1577927
## X431 -0.83728034 -0.02866799 -0.9347280 -0.831341597 -0.44251753 -0.6852460
## X432 -0.50369472 0.16468846 -0.1043438 -0.005212173 -0.21915966 -0.6852460
## X433 -0.50369472 -1.18880668 -0.9347280 -0.831341597 -0.68595798 -0.6852460
## X434 0.04803954 0.55140136 -0.5195359 1.647046674 0.18177643 1.8438701
## X435 0.28325136 -0.99545024 1.9716169 -0.005212173 -0.01199386 -0.6852460
## X436 -0.83728034 -0.02866799 -0.9347280 -0.831341597 -0.44251753 -0.6852460
## X437 3.22789945 0.16468846 0.3108484 4.951564368 3.05604172 0.1577927
## X438 1.91172984 -0.41538089 -0.1043438 2.473176098 1.80408084 -0.6852460
## X439 -0.60958681 -0.99545024 -0.1043438 -0.005212173 -0.68595798 -0.6852460
## X440 -1.22934392 -0.02866799 -0.9347280 -0.831341597 -0.68595798 -0.6852460
## X441 1.31981693 1.71154005 1.1412327 1.647046674 1.55615914 1.0008314
## X442 1.31981693 0.16468846 -0.9347280 -0.005212173 1.29203392 0.1577927
## X443 0.56629095 0.55140136 -0.1043438 1.647046674 0.18177643 1.8438701
## X444 0.49840233 -0.99545024 2.3868091 -0.005212173 -0.01199386 0.1577927
## X445 0.69697444 -0.99545024 1.9716169 -0.005212173 0.18177643 0.1577927
## X446 0.20728011 0.16468846 0.3108484 -0.005212173 0.18177643 0.1577927
## X447 0.56629095 -0.99545024 2.3868091 -0.005212173 0.18177643 -0.6852460
## X448 0.82146772 -0.99545024 0.7260405 -0.005212173 0.36423857 0.1577927
## X449 1.21665476 0.55140136 0.3108484 1.647046674 1.29203392 0.1577927
## X450 -1.53694587 -0.22202444 -0.9347280 -0.831341597 -1.25901822 0.1577927
## X451 0.75995351 -0.99545024 2.8020012 -0.005212173 0.36423857 -0.6852460
## X452 0.82146772 1.32482715 -0.5195359 -0.005212173 1.00853037 -0.6852460
## X453 0.20728011 1.13147070 -0.5195359 0.820917251 0.53699786 -0.6852460
## X454 1.56220886 2.09825295 1.1412327 3.299305521 1.92274051 -0.6852460
## NumOxygen NumSulfer NumChlorine NumHalogen NumRings HydrophilicFactor
## X1 -0.9103405 -0.3360145 -0.3972472 -0.4741055 1.2306033 -0.741919037
## X2 -0.3320280 1.7123815 -0.3972472 -0.4741055 2.0005400 -0.310306393
## X3 0.2462845 -0.3360145 -0.3972472 -0.4741055 -0.3092700 -0.274782719
## X4 -0.9103405 -0.3360145 -0.3972472 -0.4741055 -0.3092700 -0.834280591
## X5 -0.9103405 -0.3360145 0.3168966 0.2049221 -0.3092700 -0.042990743
## X6 -0.3320280 1.7123815 1.0310404 0.8839497 -1.0792067 -0.559860206
## X7 -0.9103405 -0.3360145 1.0310404 0.8839497 2.0005400 -0.629131371
## X8 0.2462845 -0.3360145 -0.3972472 -0.4741055 -1.0792067 -0.723269108
## X9 1.4029096 -0.3360145 -0.3972472 0.2049221 2.0005400 0.190577416
## X10 -0.3320280 -0.3360145 -0.3972472 -0.4741055 0.4606666 0.331784022
## X11 0.8245970 -0.3360145 -0.3972472 -0.4741055 0.4606666 -0.698402536
## X12 0.2462845 -0.3360145 -0.3972472 -0.4741055 2.0005400 -0.365368089
## X13 -0.9103405 -0.3360145 -0.3972472 -0.4741055 0.4606666 -0.842273418
## X14 -0.9103405 -0.3360145 0.3168966 0.2049221 0.4606666 -0.760568966
## X15 -0.9103405 -0.3360145 -0.3972472 -0.4741055 -0.3092700 -0.838721050
## X16 0.8245970 -0.3360145 -0.3972472 -0.4741055 0.4606666 -0.260573249
## X17 0.8245970 1.7123815 -0.3972472 -0.4741055 -0.3092700 -0.115814276
## X18 -0.3320280 1.7123815 0.3168966 0.2049221 2.0005400 -0.288992189
## X19 0.2462845 -0.3360145 -0.3972472 -0.4741055 2.0005400 -0.365368089
## X20 -0.9103405 -0.3360145 -0.3972472 -0.4741055 0.4606666 -0.842273418
## X21 0.8245970 -0.3360145 0.3168966 0.2049221 1.2306033 -0.249028055
## X22 -0.9103405 -0.3360145 -0.3972472 -0.4741055 1.2306033 -0.773002252
## X23 0.2462845 -0.3360145 0.3168966 0.2049221 -0.3092700 -0.689521618
## X24 0.2462845 -0.3360145 3.8876154 3.6000599 -0.3092700 0.566240273
## X25 1.4029096 5.8091734 -0.3972472 -0.4741055 -0.3092700 -0.119366643
## X26 0.8245970 1.7123815 -0.3972472 -0.4741055 0.4606666 0.382405258
## X27 -0.3320280 1.7123815 -0.3972472 -0.4741055 1.2306033 -0.705507271
## X28 -0.9103405 -0.3360145 -0.3972472 -0.4741055 1.2306033 0.343329216
## X29 0.2462845 -0.3360145 -0.3972472 -0.4741055 -0.3092700 -0.295208832
## X30 -0.9103405 -0.3360145 1.0310404 0.8839497 -0.3092700 -0.578510135
## X31 -0.9103405 -0.3360145 -0.3972472 -0.4741055 -1.0792067 -0.828952040
## X32 -0.9103405 -0.3360145 -0.3972472 -0.4741055 -1.0792067 -0.812966386
## X33 -0.9103405 -0.3360145 -0.3972472 -0.4741055 -0.3092700 -0.821847305
## X34 -0.9103405 -0.3360145 -0.3972472 -0.4741055 0.4606666 -0.842273418
## X35 0.8245970 -0.3360145 -0.3972472 -0.4741055 0.4606666 -0.708171547
## X36 -0.9103405 -0.3360145 -0.3972472 -0.4741055 0.4606666 -0.842273418
## X37 -0.9103405 -0.3360145 -0.3972472 -0.4741055 -0.3092700 -0.821847305
## X38 1.9812221 -0.3360145 -0.3972472 -0.4741055 2.0005400 1.404598989
## X39 0.2462845 -0.3360145 -0.3972472 -0.4741055 0.4606666 0.207451161
## X40 0.2462845 -0.3360145 -0.3972472 1.5629772 0.4606666 0.382405258
## X41 2.5595346 -0.3360145 -0.3972472 -0.4741055 2.0005400 0.190577416
## X42 0.2462845 -0.3360145 1.0310404 0.8839497 -0.3092700 -0.130911837
## X43 -0.9103405 -0.3360145 -0.3972472 0.2049221 0.4606666 -0.760568966
## X44 -0.9103405 1.7123815 0.3168966 0.2049221 2.0005400 -0.683304975
## X45 -0.9103405 -0.3360145 0.3168966 0.2049221 -0.3092700 0.574233100
## X46 -0.3320280 -0.3360145 -0.3972472 1.5629772 1.2306033 -0.676200240
## X47 -0.9103405 -0.3360145 -0.3972472 -0.4741055 -1.0792067 -0.821847305
## X48 -0.9103405 -0.3360145 -0.3972472 -0.4741055 0.4606666 -0.723269108
## X49 0.2462845 -0.3360145 1.7451841 1.5629772 0.4606666 -0.157554593
## X50 0.2462845 -0.3360145 -0.3972472 0.2049221 0.4606666 -0.278335086
## X51 -0.9103405 -0.3360145 -0.3972472 1.5629772 -0.3092700 -0.546538828
## X52 -0.9103405 -0.3360145 -0.3972472 -0.4741055 -1.0792067 -0.812966386
## X53 -0.9103405 -0.3360145 0.3168966 0.2049221 0.4606666 -0.778330804
## X54 -0.9103405 -0.3360145 0.3168966 0.2049221 -0.3092700 0.687908858
## X55 -0.9103405 -0.3360145 2.4593279 2.2420048 -0.3092700 -0.493253316
## X56 0.2462845 -0.3360145 -0.3972472 -0.4741055 2.0005400 -0.376025191
## X57 0.2462845 -0.3360145 -0.3972472 -0.4741055 -0.3092700 0.331784022
## X58 -0.9103405 1.7123815 -0.3972472 -0.4741055 0.4606666 -0.711723914
## X59 2.5595346 -0.3360145 0.3168966 0.2049221 1.2306033 -0.602488615
## X60 1.4029096 -0.3360145 0.3168966 0.2049221 1.2306033 -0.263237525
## X61 0.2462845 -0.3360145 -0.3972472 -0.4741055 -1.0792067 -0.252580422
## X62 0.2462845 -0.3360145 -0.3972472 -0.4741055 -1.0792067 -0.711723914
## X63 -0.9103405 -0.3360145 2.4593279 2.2420048 -0.3092700 -0.493253316
## X64 -0.9103405 -0.3360145 -0.3972472 -0.4741055 1.2306033 -0.842273418
## X65 1.4029096 -0.3360145 -0.3972472 -0.4741055 -0.3092700 -0.680640699
## X66 -0.3320280 -0.3360145 -0.3972472 -0.4741055 -1.0792067 -0.294320740
## X67 0.2462845 1.7123815 0.3168966 0.2049221 2.0005400 -0.655774127
## X68 2.5595346 -0.3360145 -0.3972472 0.2049221 2.0005400 0.148837099
## X69 -0.9103405 -0.3360145 -0.3972472 -0.4741055 -0.3092700 -0.821847305
## X70 -0.9103405 1.7123815 -0.3972472 -0.4741055 2.0005400 -0.737478578
## X71 -0.9103405 -0.3360145 -0.3972472 -0.4741055 0.4606666 -0.842273418
## X72 -0.9103405 -0.3360145 -0.3972472 0.2049221 -1.0792067 -0.717052465
## X73 -0.3320280 -0.3360145 -0.3972472 -0.4741055 0.4606666 -0.791652182
## X74 -0.9103405 7.8575693 -0.3972472 -0.4741055 -1.0792067 -0.525224623
## X75 -0.9103405 -0.3360145 0.3168966 0.2049221 0.4606666 -0.778330804
## X76 2.5595346 -0.3360145 -0.3972472 0.2049221 2.0005400 0.189689324
## X77 -0.9103405 -0.3360145 -0.3972472 -0.4741055 1.2306033 -0.844937693
## X78 -0.9103405 -0.3360145 1.0310404 0.8839497 0.4606666 1.916139901
## X79 -0.9103405 -0.3360145 -0.3972472 -0.4741055 0.4606666 -0.844937693
## X80 0.8245970 -0.3360145 -0.3972472 0.8839497 0.4606666 -0.257020882
## X81 1.4029096 -0.3360145 0.3168966 0.2049221 2.0005400 -0.703731087
## X82 -0.9103405 -0.3360145 -0.3972472 -0.4741055 1.2306033 -0.294320740
## X83 -0.9103405 1.7123815 0.3168966 0.2049221 1.2306033 -0.689521618
## X84 0.8245970 -0.3360145 1.7451841 1.5629772 0.4606666 -0.111373817
## X85 -0.9103405 -0.3360145 -0.3972472 1.5629772 -0.3092700 -0.546538828
## X86 -0.9103405 -0.3360145 -0.3972472 -0.4741055 -1.0792067 -0.828952040
## X87 -0.9103405 -0.3360145 -0.3972472 0.2049221 -1.0792067 -0.734814302
## X88 0.8245970 -0.3360145 -0.3972472 -0.4741055 0.4606666 -0.295208832
## X89 1.9812221 1.7123815 0.3168966 0.2049221 1.2306033 0.810465534
## X90 -0.3320280 5.8091734 -0.3972472 -0.4741055 -1.0792067 -0.596271972
## X91 2.5595346 -0.3360145 -0.3972472 -0.4741055 2.0005400 2.044025128
## X92 -0.9103405 -0.3360145 -0.3972472 -0.4741055 1.2306033 0.285603245
## X93 -0.9103405 -0.3360145 3.8876154 3.6000599 -0.3092700 -0.371584732
## X94 0.8245970 -0.3360145 -0.3972472 -0.4741055 -1.0792067 -0.737478578
## X95 0.2462845 -0.3360145 -0.3972472 -0.4741055 1.2306033 -0.741919037
## X96 1.4029096 -0.3360145 -0.3972472 1.5629772 0.4606666 1.712766865
## X97 -0.9103405 -0.3360145 -0.3972472 -0.4741055 -1.0792067 -0.821847305
## X98 -0.9103405 -0.3360145 1.0310404 0.8839497 0.4606666 -0.723269108
## X99 0.2462845 -0.3360145 -0.3972472 -0.4741055 2.0005400 -0.788987906
## X100 -0.9103405 -0.3360145 1.0310404 0.8839497 0.4606666 -0.723269108
## X101 -0.9103405 -0.3360145 1.0310404 0.8839497 0.4606666 -0.723269108
## X102 -0.9103405 1.7123815 -0.3972472 1.5629772 1.2306033 -0.638900382
## X103 0.2462845 -0.3360145 -0.3972472 -0.4741055 -1.0792067 -0.294320740
## X104 -0.9103405 -0.3360145 -0.3972472 -0.4741055 2.0005400 -0.768561793
## X105 0.2462845 1.7123815 2.4593279 2.2420048 0.4606666 -0.465722469
## X106 -0.3320280 1.7123815 -0.3972472 -0.4741055 2.7704767 -0.365368089
## X107 -0.9103405 -0.3360145 -0.3972472 -0.4741055 0.4606666 -0.737478578
## X108 2.5595346 -0.3360145 -0.3972472 -0.4741055 2.0005400 0.135515721
## X109 1.4029096 7.8575693 -0.3972472 -0.4741055 -1.0792067 -0.395563212
## X110 1.4029096 -0.3360145 -0.3972472 -0.4741055 1.2306033 -0.310306393
## X111 1.4029096 -0.3360145 -0.3972472 -0.4741055 0.4606666 -0.705507271
## X112 -0.9103405 -0.3360145 3.8876154 3.6000599 1.2306033 -0.525224623
## X113 0.2462845 -0.3360145 -0.3972472 -0.4741055 -1.0792067 -0.353822894
## X114 0.8245970 -0.3360145 1.0310404 0.8839497 0.4606666 -0.578510135
## X115 -0.9103405 -0.3360145 1.7451841 1.5629772 0.4606666 -0.675312148
## X116 0.2462845 -0.3360145 0.3168966 1.5629772 0.4606666 0.395726636
## X117 -0.3320280 -0.3360145 -0.3972472 -0.4741055 -1.0792067 -0.332508690
## X118 -0.9103405 -0.3360145 1.7451841 1.5629772 0.4606666 -0.675312148
## X119 -0.9103405 -0.3360145 -0.3972472 -0.4741055 2.0005400 -0.851154336
## X120 -0.9103405 -0.3360145 -0.3972472 -0.4741055 2.0005400 0.183472681
## X121 -0.3320280 -0.3360145 3.8876154 3.6000599 2.7704767 -0.533217450
## X122 -0.9103405 -0.3360145 1.7451841 1.5629772 0.4606666 -0.675312148
## X123 1.4029096 3.7607774 0.3168966 0.2049221 0.4606666 -0.515455613
## X124 -0.9103405 -0.3360145 2.4593279 2.2420048 0.4606666 -0.659326494
## X125 -0.9103405 -0.3360145 1.0310404 0.8839497 0.4606666 -0.723269108
## X126 -0.9103405 -0.3360145 2.4593279 2.2420048 0.4606666 -0.633571830
## X127 -0.9103405 -0.3360145 2.4593279 2.2420048 0.4606666 -0.659326494
## X128 -0.9103405 -0.3360145 1.0310404 0.8839497 0.4606666 -0.723269108
## X129 -0.9103405 -0.3360145 2.4593279 2.2420048 0.4606666 -0.633571830
## X130 -0.9103405 -0.3360145 -0.3972472 -0.4741055 2.0005400 -0.852042428
## X131 -0.9103405 -0.3360145 -0.3972472 -0.4741055 2.0005400 -0.853818612
## X132 -0.9103405 -0.3360145 2.4593279 2.2420048 0.4606666 -0.633571830
## X133 -0.9103405 -0.3360145 -0.3972472 -0.4741055 1.2306033 -0.851154336
## X134 -0.9103405 -0.3360145 2.4593279 2.2420048 0.4606666 -0.659326494
## X135 -0.9103405 -0.3360145 -0.3972472 -0.4741055 1.2306033 -0.853818612
## X136 -0.9103405 -0.3360145 3.1734717 2.9210324 0.4606666 -0.596271972
## X137 -0.9103405 -0.3360145 2.4593279 2.2420048 0.4606666 -0.633571830
## X138 0.8245970 -0.3360145 -0.3972472 -0.4741055 3.5404134 -0.408884590
## X139 -0.9103405 -0.3360145 2.4593279 2.2420048 0.4606666 -0.633571830
## X140 -0.9103405 -0.3360145 -0.3972472 -0.4741055 2.7704767 -0.407108406
## X141 -0.9103405 -0.3360145 3.8876154 3.6000599 0.4606666 -0.562524482
## X142 -0.9103405 -0.3360145 3.1734717 2.9210324 0.4606666 -0.596271972
## X143 -0.9103405 -0.3360145 3.8876154 3.6000599 0.4606666 -0.562524482
## X144 -0.9103405 -0.3360145 3.8876154 3.6000599 0.4606666 -0.562524482
## X145 -0.9103405 -0.3360145 2.4593279 2.2420048 0.4606666 -0.633571830
## X146 -0.9103405 -0.3360145 3.1734717 2.9210324 0.4606666 -0.596271972
## X147 -0.9103405 -0.3360145 4.6017592 4.2790875 0.4606666 -0.533217450
## X148 -0.9103405 -0.3360145 -0.3972472 -0.4741055 2.7704767 -0.856482887
## X149 -0.9103405 -0.3360145 -0.3972472 -0.4741055 2.7704767 -0.855594796
## X150 -0.9103405 -0.3360145 3.8876154 3.6000599 0.4606666 -0.562524482
## X151 -0.9103405 -0.3360145 -0.3972472 -0.4741055 2.7704767 -0.855594796
## X152 -0.9103405 -0.3360145 -0.3972472 1.5629772 2.0005400 -0.672647872
## X153 -0.9103405 -0.3360145 3.8876154 3.6000599 0.4606666 -0.562524482
## X154 -0.9103405 -0.3360145 3.8876154 3.6000599 0.4606666 -0.562524482
## X155 -0.9103405 -0.3360145 3.8876154 3.6000599 0.4606666 -0.562524482
## X156 -0.9103405 -0.3360145 -0.3972472 -0.4741055 2.7704767 -0.855594796
## X157 -0.9103405 -0.3360145 5.3159030 4.9581151 0.4606666 -0.505686603
## X158 -0.9103405 -0.3360145 5.3159030 4.9581151 0.4606666 -0.505686603
## X159 -0.9103405 -0.3360145 6.7441905 6.3161702 0.4606666 -0.459505826
## X160 -0.3320280 -0.3360145 -0.3972472 -0.4741055 0.4606666 -0.778330804
## X161 -0.9103405 -0.3360145 0.3168966 0.2049221 -1.0792067 -0.717052465
## X162 0.2462845 -0.3360145 -0.3972472 -0.4741055 2.0005400 -0.376025191
## X163 -0.9103405 -0.3360145 -0.3972472 -0.4741055 -0.3092700 -0.838721050
## X164 2.5595346 -0.3360145 -0.3972472 -0.4741055 2.0005400 -0.311194485
## X165 -0.9103405 -0.3360145 1.7451841 1.5629772 -0.3092700 -0.546538828
## X166 -0.9103405 -0.3360145 -0.3972472 -0.4741055 -0.3092700 -0.834280591
## X167 -0.9103405 -0.3360145 -0.3972472 0.8839497 -0.3092700 -0.612257626
## X168 -0.9103405 1.7123815 -0.3972472 -0.4741055 -0.3092700 0.527164231
## X169 0.2462845 5.8091734 -0.3972472 -0.4741055 -1.0792067 -0.446184448
## X170 2.5595346 -0.3360145 -0.3972472 -0.4741055 2.7704767 -0.640676565
## X171 3.7161597 -0.3360145 -0.3972472 0.2049221 2.0005400 0.201234518
## X172 -0.9103405 -0.3360145 -0.3972472 -0.4741055 -0.3092700 -0.821847305
## X173 1.4029096 1.7123815 -0.3972472 -0.4741055 1.2306033 0.379740982
## X174 0.2462845 -0.3360145 -0.3972472 1.5629772 0.4606666 0.425921759
## X175 -0.9103405 -0.3360145 3.1734717 2.9210324 -1.0792067 -0.358263354
## X176 -0.9103405 1.7123815 -0.3972472 -0.4741055 1.2306033 -0.724157200
## X177 1.4029096 1.7123815 -0.3972472 -0.4741055 2.7704767 -0.709059639
## X178 -0.3320280 -0.3360145 3.1734717 2.9210324 -0.3092700 0.088446852
## X179 1.4029096 -0.3360145 -0.3972472 -0.4741055 2.0005400 0.738530094
## X180 0.2462845 -0.3360145 -0.3972472 -0.4741055 2.0005400 0.168375119
## X181 -0.9103405 1.7123815 -0.3972472 -0.4741055 1.2306033 -0.724157200
## X182 2.5595346 -0.3360145 -0.3972472 0.2049221 2.7704767 0.189689324
## X183 -0.9103405 1.7123815 -0.3972472 -0.4741055 1.2306033 -0.778330804
## X184 -0.3320280 -0.3360145 1.0310404 0.8839497 1.2306033 -0.257020882
## X185 0.2462845 -0.3360145 -0.3972472 -0.4741055 0.4606666 0.207451161
## X186 0.2462845 -0.3360145 0.3168966 0.8839497 1.2306033 -0.310306393
## X187 -0.9103405 -0.3360145 -0.3972472 0.2049221 -1.0792067 -0.717052465
## X188 -0.9103405 -0.3360145 -0.3972472 -0.4741055 1.2306033 -0.814742570
## X189 -0.9103405 1.7123815 -0.3972472 1.5629772 2.0005400 -0.640676565
## X190 0.8245970 3.7607774 -0.3972472 -0.4741055 -0.3092700 -0.525224623
## X191 2.5595346 -0.3360145 -0.3972472 -0.4741055 2.0005400 0.147949007
## X192 0.2462845 -0.3360145 -0.3972472 -0.4741055 1.2306033 -0.698402536
## X193 -0.9103405 -0.3360145 -0.3972472 -0.4741055 0.4606666 -0.847601969
## X194 0.2462845 -0.3360145 -0.3972472 -0.4741055 2.0005400 -0.385794201
## X195 -0.9103405 -0.3360145 -0.3972472 -0.4741055 0.4606666 -0.842273418
## X196 0.8245970 -0.3360145 -0.3972472 -0.4741055 2.0005400 -0.753464232
## X197 0.8245970 1.7123815 1.7451841 1.5629772 -0.3092700 -0.361815721
## X198 -0.3320280 1.7123815 1.7451841 1.5629772 -1.0792067 -0.525224623
## X199 -0.9103405 -0.3360145 3.8876154 3.6000599 -1.0792067 -0.322739679
## X200 -0.9103405 -0.3360145 0.3168966 0.2049221 0.4606666 -0.778330804
## X201 -0.9103405 -0.3360145 -0.3972472 -0.4741055 -0.3092700 -0.842273418
## X202 0.2462845 -0.3360145 -0.3972472 -0.4741055 2.0005400 -0.353822894
## X203 0.8245970 -0.3360145 -0.3972472 -0.4741055 1.2306033 -0.757904691
## X204 1.9812221 1.7123815 0.3168966 0.2049221 0.4606666 -0.538546001
## X205 -0.3320280 -0.3360145 3.8876154 3.6000599 1.2306033 -0.055424029
## X206 -0.9103405 -0.3360145 2.4593279 2.2420048 -0.3092700 -0.476379571
## X207 0.2462845 5.8091734 0.3168966 0.2049221 -0.3092700 -0.514567521
## X208 -0.9103405 -0.3360145 1.0310404 0.8839497 0.4606666 -0.723269108
## X209 -0.9103405 -0.3360145 -0.3972472 -0.4741055 1.2306033 -0.849378152
## X210 -0.9103405 -0.3360145 -0.3972472 -0.4741055 2.0005400 -0.851154336
## X211 -0.9103405 -0.3360145 1.7451841 1.5629772 0.4606666 -0.675312148
## X212 -0.3320280 -0.3360145 3.8876154 3.6000599 2.7704767 -0.533217450
## X213 -0.9103405 -0.3360145 1.7451841 1.5629772 0.4606666 -0.675312148
## X214 0.8245970 -0.3360145 1.0310404 0.8839497 1.2306033 -0.690409709
## X215 -0.9103405 -0.3360145 4.6017592 4.2790875 1.2306033 -0.494141408
## X216 -0.9103405 -0.3360145 2.4593279 2.2420048 0.4606666 -0.633571830
## X217 -0.9103405 -0.3360145 3.1734717 2.9210324 0.4606666 -0.624690912
## X218 3.1378471 -0.3360145 -0.3972472 -0.4741055 1.2306033 0.840660658
## X219 0.2462845 -0.3360145 -0.3972472 -0.4741055 -1.0792067 -0.327180139
## X220 -0.9103405 -0.3360145 2.4593279 2.2420048 0.4606666 -0.633571830
## X221 -0.3320280 -0.3360145 -0.3972472 -0.4741055 -1.0792067 -0.362703813
## X222 -0.9103405 -0.3360145 3.8876154 3.6000599 2.0005400 -0.562524482
## X223 -0.9103405 -0.3360145 -0.3972472 -0.4741055 2.7704767 -0.855594796
## X224 -0.9103405 -0.3360145 3.1734717 2.9210324 0.4606666 -0.596271972
## X225 -0.9103405 -0.3360145 -0.3972472 -0.4741055 2.0005400 -0.852042428
## X226 -0.9103405 -0.3360145 -0.3972472 -0.4741055 2.0005400 -0.853818612
## X227 -0.9103405 -0.3360145 3.8876154 3.6000599 0.4606666 -0.562524482
## X228 -0.9103405 -0.3360145 3.8876154 3.6000599 0.4606666 -0.562524482
## X229 -0.9103405 -0.3360145 -0.3972472 -0.4741055 2.7704767 -0.855594796
## X230 -0.9103405 -0.3360145 -0.3972472 -0.4741055 2.0005400 -0.853818612
## X231 -0.9103405 -0.3360145 3.8876154 3.6000599 0.4606666 -0.562524482
## X232 -0.9103405 -0.3360145 6.0300467 5.6371426 0.4606666 -0.481708122
## X233 0.2462845 -0.3360145 -0.3972472 -0.4741055 1.2306033 0.321126919
## X234 0.2462845 -0.3360145 -0.3972472 -0.4741055 2.0005400 -0.365368089
## X235 -0.9103405 -0.3360145 3.8876154 3.6000599 -0.3092700 -0.411548865
## X236 0.8245970 1.7123815 1.7451841 1.5629772 -0.3092700 -0.417765508
## X237 -0.9103405 -0.3360145 3.1734717 2.9210324 0.4606666 -0.624690912
## X238 -0.9103405 -0.3360145 5.3159030 4.9581151 1.2306033 -0.465722469
## X239 0.8245970 -0.3360145 1.0310404 0.8839497 -0.3092700 -0.028781274
## X240 3.7161597 -0.3360145 0.3168966 0.2049221 2.0005400 3.680778427
## X241 -0.9103405 -0.3360145 -0.3972472 -0.4741055 -1.0792067 -0.779218896
## X242 -0.9103405 -0.3360145 0.3168966 0.8839497 -0.3092700 -0.640676565
## X243 -0.3320280 -0.3360145 -0.3972472 -0.4741055 0.4606666 -0.164659328
## X244 0.8245970 1.7123815 -0.3972472 -0.4741055 0.4606666 1.129290512
## X245 0.8245970 -0.3360145 0.3168966 0.2049221 -0.3092700 -0.129135654
## X246 0.2462845 -0.3360145 -0.3972472 -0.4741055 0.4606666 -0.240147136
## X247 0.8245970 1.7123815 -0.3972472 -0.4741055 0.4606666 1.175471289
## X248 -0.3320280 -0.3360145 -0.3972472 -0.4741055 -1.0792067 -0.749023772
## X249 -0.9103405 -0.3360145 -0.3972472 -0.4741055 -0.3092700 -0.799645008
## X250 0.2462845 -0.3360145 0.3168966 0.2049221 -0.3092700 -0.039438376
## X251 -0.9103405 1.7123815 -0.3972472 -0.4741055 -0.3092700 -0.693962077
## X252 -0.9103405 -0.3360145 -0.3972472 -0.4741055 1.2306033 -0.310306393
## X253 -0.9103405 -0.3360145 3.1734717 2.9210324 -1.0792067 -0.218832932
## X254 0.2462845 -0.3360145 -0.3972472 -0.4741055 1.2306033 -0.249028055
## X255 0.8245970 1.7123815 0.3168966 0.2049221 0.4606666 -0.042990743
## X256 0.2462845 -0.3360145 -0.3972472 -0.4741055 -1.0792067 0.604428223
## X257 -0.3320280 -0.3360145 -0.3972472 -0.4741055 -0.3092700 0.527164231
## X258 -0.9103405 -0.3360145 0.3168966 0.2049221 -1.0792067 -0.662878862
## X259 -0.9103405 -0.3360145 -0.3972472 -0.4741055 -0.3092700 -0.779218896
## X260 0.2462845 -0.3360145 -0.3972472 -0.4741055 0.4606666 -0.252580422
## X261 0.8245970 1.7123815 -0.3972472 -0.4741055 0.4606666 -0.076738234
## X262 -0.9103405 -0.3360145 -0.3972472 -0.4741055 -1.0792067 -0.799645008
## X263 -0.9103405 -0.3360145 -0.3972472 -0.4741055 -1.0792067 -0.779218896
## X264 -0.9103405 -0.3360145 -0.3972472 -0.4741055 1.2306033 -0.723269108
## X265 -0.9103405 -0.3360145 1.0310404 0.8839497 -1.0792067 -0.574957768
## X266 -0.9103405 -0.3360145 1.0310404 0.8839497 -1.0792067 -0.527000807
## X267 -0.9103405 -0.3360145 -0.3972472 -0.4741055 0.4606666 1.948111208
## X268 0.2462845 -0.3360145 -0.3972472 -0.4741055 -1.0792067 -0.683304975
## X269 0.8245970 -0.3360145 -0.3972472 -0.4741055 -0.3092700 -0.670871689
## X270 0.8245970 -0.3360145 -0.3972472 -0.4741055 -0.3092700 -0.190413992
## X271 0.2462845 -0.3360145 -0.3972472 0.2049221 -0.3092700 -0.039438376
## X272 0.2462845 -0.3360145 0.3168966 0.2049221 -0.3092700 -0.670871689
## X273 -0.9103405 -0.3360145 0.3168966 0.2049221 -1.0792067 -0.662878862
## X274 0.8245970 -0.3360145 -0.3972472 -0.4741055 0.4606666 -0.157554593
## X275 0.2462845 -0.3360145 -0.3972472 -0.4741055 -1.0792067 -0.164659328
## X276 0.2462845 -0.3360145 1.7451841 1.5629772 -0.3092700 1.517386655
## X277 0.2462845 -0.3360145 -0.3972472 -0.4741055 2.0005400 -0.321851587
## X278 -0.9103405 1.7123815 -0.3972472 -0.4741055 0.4606666 0.068908831
## X279 -0.9103405 -0.3360145 -0.3972472 -0.4741055 1.2306033 -0.785435539
## X280 -0.3320280 -0.3360145 0.3168966 0.2049221 -0.3092700 -0.124695194
## X281 -0.9103405 -0.3360145 -0.3972472 -0.4741055 -0.3092700 -0.821847305
## X282 0.8245970 -0.3360145 1.0310404 0.8839497 0.4606666 -0.470162928
## X283 -0.9103405 -0.3360145 -0.3972472 -0.4741055 -0.3092700 -0.821847305
## X284 0.2462845 -0.3360145 -0.3972472 -0.4741055 3.5404134 0.208339253
## X285 -0.3320280 -0.3360145 0.3168966 0.2049221 -0.3092700 -0.087395336
## X286 0.2462845 1.7123815 -0.3972472 -0.4741055 0.4606666 1.178135565
## X287 0.8245970 -0.3360145 -0.3972472 -0.4741055 0.4606666 1.766052376
## X288 0.8245970 -0.3360145 -0.3972472 0.8839497 -0.3092700 2.105303467
## X289 3.7161597 -0.3360145 -0.3972472 -0.4741055 2.0005400 3.653247579
## X290 -0.3320280 -0.3360145 0.3168966 0.2049221 0.4606666 0.516507129
## X291 -0.9103405 -0.3360145 -0.3972472 0.2049221 -1.0792067 -0.662878862
## X292 0.8245970 1.7123815 -0.3972472 -0.4741055 0.4606666 1.178135565
## X293 0.2462845 -0.3360145 -0.3972472 -0.4741055 0.4606666 0.470326352
## X294 -0.3320280 -0.3360145 -0.3972472 -0.4741055 -0.3092700 -0.760568966
## X295 0.8245970 -0.3360145 -0.3972472 -0.4741055 -0.3092700 0.382405258
## X296 1.4029096 1.7123815 -0.3972472 -0.4741055 0.4606666 1.128402420
## X297 0.2462845 -0.3360145 -0.3972472 -0.4741055 -0.3092700 -0.711723914
## X298 -0.3320280 -0.3360145 1.0310404 0.8839497 -0.3092700 -0.094500071
## X299 0.8245970 -0.3360145 -0.3972472 -0.4741055 0.4606666 0.399279003
## X300 -0.3320280 -0.3360145 -0.3972472 -0.4741055 -1.0792067 -0.209952013
## X301 -0.9103405 -0.3360145 -0.3972472 -0.4741055 -0.3092700 -0.760568966
## X302 0.2462845 -0.3360145 -0.3972472 -0.4741055 -0.3092700 0.364643421
## X303 -0.9103405 1.7123815 -0.3972472 -0.4741055 -0.3092700 0.574233100
## X304 1.4029096 3.7607774 0.3168966 0.2049221 0.4606666 1.385060968
## X305 0.8245970 1.7123815 -0.3972472 -0.4741055 -0.3092700 0.485423914
## X306 -0.9103405 -0.3360145 1.0310404 0.8839497 -0.3092700 -0.612257626
## X307 -0.3320280 -0.3360145 -0.3972472 -0.4741055 2.0005400 -0.336061057
## X308 3.1378471 -0.3360145 -0.3972472 -0.4741055 1.2306033 2.486294875
## X309 -0.3320280 -0.3360145 -0.3972472 -0.4741055 2.0005400 -0.336061057
## X310 1.9812221 -0.3360145 -0.3972472 -0.4741055 2.0005400 0.207451161
## X311 -0.9103405 -0.3360145 0.3168966 0.2049221 -1.0792067 -0.693962077
## X312 3.7161597 -0.3360145 -0.3972472 -0.4741055 2.0005400 3.653247579
## X313 -0.9103405 -0.3360145 -0.3972472 -0.4741055 -1.0792067 -0.778330804
## X314 -0.9103405 -0.3360145 1.0310404 3.6000599 -1.0792067 -0.192190176
## X315 -0.3320280 -0.3360145 -0.3972472 -0.4741055 -0.3092700 -0.760568966
## X316 -0.9103405 -0.3360145 -0.3972472 0.8839497 -0.3092700 -0.612257626
## X317 -0.9103405 -0.3360145 -0.3972472 2.2420048 -1.0792067 -0.141568940
## X318 3.1378471 -0.3360145 -0.3972472 -0.4741055 2.7704767 -0.626467096
## X319 0.2462845 1.7123815 -0.3972472 -0.4741055 0.4606666 -0.185085441
## X320 -0.9103405 -0.3360145 0.3168966 0.2049221 -0.3092700 0.581337835
## X321 0.8245970 -0.3360145 -0.3972472 -0.4741055 0.4606666 -0.240147136
## X322 0.2462845 -0.3360145 0.3168966 0.2049221 -0.3092700 1.041369418
## X323 -0.9103405 3.7607774 -0.3972472 -0.4741055 0.4606666 -0.039438376
## X324 -0.9103405 -0.3360145 -0.3972472 -0.4741055 -1.0792067 -0.779218896
## X325 -0.9103405 -0.3360145 -0.3972472 -0.4741055 -0.3092700 -0.828952040
## X326 -0.9103405 -0.3360145 0.3168966 0.8839497 -0.3092700 -0.612257626
## X327 -0.9103405 -0.3360145 -0.3972472 -0.4741055 -0.3092700 -0.828952040
## X328 0.2462845 -0.3360145 -0.3972472 -0.4741055 0.4606666 -0.294320740
## X329 -0.9103405 -0.3360145 -0.3972472 -0.4741055 -1.0792067 -0.799645008
## X330 -0.9103405 -0.3360145 1.0310404 0.8839497 -0.3092700 0.766949033
## X331 0.8245970 1.7123815 -0.3972472 1.5629772 -0.3092700 0.512954761
## X332 -0.3320280 -0.3360145 -0.3972472 0.2049221 -0.3092700 -0.087395336
## X333 0.2462845 -0.3360145 0.3168966 0.2049221 -0.3092700 -0.659326494
## X334 0.2462845 -0.3360145 1.0310404 0.8839497 -0.3092700 0.621301968
## X335 0.2462845 -0.3360145 -0.3972472 -0.4741055 -0.3092700 1.032488500
## X336 -0.9103405 -0.3360145 -0.3972472 -0.4741055 -0.3092700 -0.812966386
## X337 0.8245970 1.7123815 -0.3972472 -0.4741055 0.4606666 1.175471289
## X338 0.2462845 -0.3360145 -0.3972472 -0.4741055 0.4606666 -0.217056748
## X339 0.2462845 -0.3360145 -0.3972472 -0.4741055 0.4606666 -0.217056748
## X340 0.8245970 -0.3360145 -0.3972472 0.8839497 -0.3092700 0.686132674
## X341 -0.3320280 -0.3360145 -0.3972472 -0.4741055 -1.0792067 -0.760568966
## X342 -0.9103405 -0.3360145 -0.3972472 -0.4741055 -0.3092700 -0.828952040
## X343 0.2462845 -0.3360145 -0.3972472 -0.4741055 4.3103501 -0.718828649
## X344 1.4029096 1.7123815 -0.3972472 -0.4741055 0.4606666 -0.533217450
## X345 -0.9103405 -0.3360145 -0.3972472 -0.4741055 1.2306033 -0.785435539
## X346 0.2462845 1.7123815 -0.3972472 -0.4741055 -0.3092700 0.472990628
## X347 1.9812221 -0.3360145 -0.3972472 -0.4741055 2.0005400 1.404598989
## X348 0.2462845 -0.3360145 -0.3972472 -0.4741055 2.0005400 -0.321851587
## X349 -0.9103405 -0.3360145 -0.3972472 -0.4741055 -0.3092700 -0.828952040
## X350 -0.3320280 -0.3360145 -0.3972472 0.8839497 1.2306033 -0.217056748
## X351 0.2462845 -0.3360145 -0.3972472 -0.4741055 -1.0792067 -0.683304975
## X352 -0.9103405 3.7607774 0.3168966 0.2049221 -1.0792067 -0.555419747
## X353 0.8245970 1.7123815 -0.3972472 -0.4741055 -0.3092700 0.447235964
## X354 -0.3320280 -0.3360145 -0.3972472 -0.4741055 1.2306033 -0.773002252
## X355 0.2462845 -0.3360145 -0.3972472 -0.4741055 -1.0792067 -0.227713850
## X356 -0.9103405 -0.3360145 -0.3972472 -0.4741055 -0.3092700 -0.828952040
## X357 1.9812221 1.7123815 -0.3972472 -0.4741055 0.4606666 -0.578510135
## X358 0.2462845 -0.3360145 -0.3972472 -0.4741055 -1.0792067 -0.198406819
## X359 0.2462845 1.7123815 -0.3972472 -0.4741055 -0.3092700 0.433914586
## X360 0.8245970 -0.3360145 -0.3972472 -0.4741055 2.0005400 -0.737478578
## X361 0.2462845 -0.3360145 -0.3972472 -0.4741055 -0.3092700 -0.711723914
## X362 -0.9103405 -0.3360145 -0.3972472 0.8839497 -0.3092700 -0.612257626
## X363 0.2462845 1.7123815 -0.3972472 -0.4741055 0.4606666 1.231421076
## X364 -0.9103405 -0.3360145 -0.3972472 -0.4741055 -0.3092700 -0.812966386
## X365 0.2462845 -0.3360145 1.0310404 0.8839497 -0.3092700 -0.042990743
## X366 -0.9103405 -0.3360145 -0.3972472 0.2049221 -0.3092700 -0.717052465
## X367 -0.9103405 -0.3360145 0.3168966 0.2049221 -0.3092700 -0.717052465
## X368 -0.9103405 -0.3360145 -0.3972472 -0.4741055 -1.0792067 -0.799645008
## X369 0.2462845 -0.3360145 -0.3972472 -0.4741055 0.4606666 -0.724157200
## X370 1.4029096 3.7607774 -0.3972472 1.5629772 1.2306033 1.688788384
## X371 -0.9103405 -0.3360145 1.7451841 1.5629772 -0.3092700 -0.546538828
## X372 0.2462845 -0.3360145 -0.3972472 -0.4741055 0.4606666 0.364643421
## X373 -0.9103405 -0.3360145 -0.3972472 -0.4741055 0.4606666 -0.834280591
## X374 0.2462845 -0.3360145 1.0310404 0.8839497 1.2306033 0.353986318
## X375 0.2462845 -0.3360145 0.3168966 0.2049221 0.4606666 -0.593607697
## X376 1.9812221 -0.3360145 -0.3972472 0.2049221 2.0005400 0.801584616
## X377 1.4029096 -0.3360145 -0.3972472 -0.4741055 2.0005400 0.738530094
## X378 -0.9103405 -0.3360145 -0.3972472 -0.4741055 1.2306033 -0.353822894
## X379 -0.9103405 -0.3360145 -0.3972472 -0.4741055 -1.0792067 -0.821847305
## X380 -0.9103405 -0.3360145 3.8876154 3.6000599 -1.0792067 -0.192190176
## X381 0.8245970 -0.3360145 1.0310404 0.8839497 -0.3092700 -0.100716714
## X382 0.8245970 1.7123815 -0.3972472 -0.4741055 0.4606666 0.395726636
## X383 2.5595346 -0.3360145 -0.3972472 0.2049221 2.0005400 1.494296267
## X384 0.2462845 -0.3360145 -0.3972472 -0.4741055 2.0005400 -0.773002252
## X385 0.8245970 -0.3360145 -0.3972472 -0.4741055 0.4606666 -0.295208832
## X386 0.2462845 1.7123815 -0.3972472 -0.4741055 0.4606666 1.231421076
## X387 0.8245970 -0.3360145 -0.3972472 -0.4741055 1.2306033 -0.285439821
## X388 1.4029096 1.7123815 0.3168966 0.2049221 0.4606666 1.712766865
## X389 0.8245970 3.7607774 -0.3972472 -0.4741055 0.4606666 0.581337835
## X390 0.2462845 -0.3360145 -0.3972472 -0.4741055 1.2306033 -0.705507271
## X391 1.4029096 -0.3360145 -0.3972472 -0.4741055 2.0005400 0.738530094
## X392 0.8245970 -0.3360145 -0.3972472 -0.4741055 -0.3092700 -0.689521618
## X393 -0.9103405 -0.3360145 -0.3972472 -0.4741055 -0.3092700 -0.834280591
## X394 -0.9103405 -0.3360145 0.3168966 0.2049221 0.4606666 -0.760568966
## X395 0.2462845 -0.3360145 -0.3972472 -0.4741055 -0.3092700 0.364643421
## X396 -0.9103405 -0.3360145 0.3168966 0.2049221 -1.0792067 -0.662878862
## X397 -0.3320280 -0.3360145 -0.3972472 -0.4741055 0.4606666 -0.332508690
## X398 -0.3320280 -0.3360145 -0.3972472 -0.4741055 -0.3092700 -0.242811412
## X399 -0.9103405 -0.3360145 -0.3972472 0.2049221 -0.3092700 -0.693962077
## X400 0.2462845 -0.3360145 0.3168966 0.2049221 -0.3092700 -0.066969224
## X401 -0.9103405 -0.3360145 -0.3972472 -0.4741055 0.4606666 1.123073869
## X402 0.8245970 -0.3360145 -0.3972472 -0.4741055 -0.3092700 2.164805621
## X403 0.2462845 -0.3360145 -0.3972472 -0.4741055 -0.3092700 0.380629074
## X404 -0.3320280 -0.3360145 -0.3972472 -0.4741055 -1.0792067 -0.749023772
## X405 0.2462845 -0.3360145 1.0310404 0.8839497 -0.3092700 -0.371584732
## X406 0.2462845 -0.3360145 -0.3972472 -0.4741055 -0.3092700 -0.124695194
## X407 0.2462845 -0.3360145 -0.3972472 -0.4741055 0.4606666 -0.087395336
## X408 -0.9103405 -0.3360145 0.3168966 0.2049221 -1.0792067 -0.662878862
## X409 0.8245970 -0.3360145 -0.3972472 -0.4741055 1.2306033 0.367307696
## X410 1.4029096 3.7607774 1.7451841 1.5629772 0.4606666 2.036032302
## X411 2.5595346 -0.3360145 -0.3972472 -0.4741055 2.0005400 1.679019374
## X412 0.2462845 1.7123815 -0.3972472 -0.4741055 0.4606666 1.180799840
## X413 -0.9103405 1.7123815 -0.3972472 -0.4741055 0.4606666 0.068908831
## X414 -0.9103405 -0.3360145 -0.3972472 -0.4741055 -1.0792067 0.577785467
## X415 -0.9103405 -0.3360145 -0.3972472 -0.4741055 -0.3092700 -0.821847305
## X416 -0.9103405 -0.3360145 -0.3972472 0.2049221 -0.3092700 -0.693962077
## X417 0.2462845 1.7123815 -0.3972472 -0.4741055 0.4606666 1.178135565
## X418 0.2462845 -0.3360145 -0.3972472 -0.4741055 0.4606666 0.280274694
## X419 0.2462845 -0.3360145 -0.3972472 -0.4741055 0.4606666 -0.294320740
## X420 -0.9103405 -0.3360145 0.3168966 0.2049221 -0.3092700 -0.646005116
## X421 0.2462845 -0.3360145 -0.3972472 -0.4741055 -0.3092700 0.604428223
## X422 0.8245970 -0.3360145 1.7451841 1.5629772 -0.3092700 -0.005690885
## X423 1.9812221 -0.3360145 -0.3972472 -0.4741055 2.0005400 0.815794086
## X424 0.8245970 -0.3360145 -0.3972472 -0.4741055 1.2306033 0.407271830
## X425 1.9812221 -0.3360145 -0.3972472 -0.4741055 2.0005400 0.792703697
## X426 0.2462845 -0.3360145 -0.3972472 -0.4741055 0.4606666 -0.711723914
## X427 -0.9103405 -0.3360145 1.7451841 3.6000599 -1.0792067 -0.192190176
## X428 -0.9103405 -0.3360145 1.0310404 0.8839497 -0.3092700 -0.612257626
## X429 -0.9103405 -0.3360145 -0.3972472 -0.4741055 0.4606666 -0.828952040
## X430 -0.3320280 -0.3360145 -0.3972472 0.2049221 -0.3092700 -0.087395336
## X431 -0.9103405 -0.3360145 0.3168966 0.2049221 -0.3092700 -0.717052465
## X432 0.2462845 -0.3360145 1.7451841 1.5629772 -0.3092700 -0.028781274
## X433 -0.9103405 -0.3360145 -0.3972472 -0.4741055 -0.3092700 -0.799645008
## X434 -0.3320280 -0.3360145 -0.3972472 0.2049221 0.4606666 0.516507129
## X435 -0.3320280 -0.3360145 -0.3972472 -0.4741055 -1.0792067 -0.749023772
## X436 -0.9103405 -0.3360145 -0.3972472 0.2049221 -0.3092700 -0.717052465
## X437 6.6077223 -0.3360145 -0.3972472 -0.4741055 2.0005400 3.944541710
## X438 1.9812221 -0.3360145 -0.3972472 -0.4741055 2.0005400 0.815794086
## X439 -0.9103405 -0.3360145 -0.3972472 -0.4741055 -1.0792067 -0.799645008
## X440 -0.9103405 -0.3360145 1.0310404 0.8839497 -0.3092700 -0.612257626
## X441 0.8245970 -0.3360145 -0.3972472 -0.4741055 1.2306033 -0.676200240
## X442 0.8245970 -0.3360145 -0.3972472 -0.4741055 2.7704767 0.270505683
## X443 0.8245970 1.7123815 0.3168966 0.2049221 0.4606666 1.984522974
## X444 0.2462845 -0.3360145 -0.3972472 -0.4741055 -1.0792067 0.542261793
## X445 -0.3320280 1.7123815 -0.3972472 -0.4741055 -1.0792067 -0.646005116
## X446 0.2462845 -0.3360145 0.3168966 0.2049221 -0.3092700 -0.129135654
## X447 0.2462845 -0.3360145 -0.3972472 -0.4741055 -1.0792067 -0.698402536
## X448 -0.3320280 1.7123815 -0.3972472 -0.4741055 -0.3092700 -0.661990770
## X449 0.8245970 -0.3360145 -0.3972472 -0.4741055 1.2306033 -0.689521618
## X450 -0.9103405 -0.3360145 -0.3972472 2.2420048 -0.3092700 0.205674978
## X451 0.2462845 -0.3360145 -0.3972472 -0.4741055 -1.0792067 -0.227713850
## X452 2.5595346 -0.3360145 -0.3972472 -0.4741055 1.2306033 1.724312059
## X453 1.4029096 -0.3360145 -0.3972472 -0.4741055 1.2306033 -0.633571830
## X454 3.7161597 -0.3360145 -0.3972472 -0.4741055 2.0005400 0.234093917
## SurfaceArea1 SurfaceArea2
## X1 -0.302617991 -0.379138448
## X2 0.445784255 1.054350614
## X3 0.023833878 -0.076964725
## X4 -1.033167401 -1.055357076
## X5 0.495375467 0.359508432
## X6 -0.457625954 0.141009550
## X7 0.187343191 0.074384441
## X8 -0.287882317 -0.365498662
## X9 1.080835157 0.901427627
## X10 0.132367790 0.023497546
## X11 0.418013175 0.287899555
## X12 0.023833878 -0.076964725
## X13 -1.033167401 -1.055357076
## X14 -1.033167401 -1.055357076
## X15 -1.033167401 -1.055357076
## X16 0.285392103 0.165141479
## X17 1.359112705 1.378820142
## X18 -0.136558273 0.515316758
## X19 0.023833878 -0.076964725
## X20 -1.033167401 -1.055357076
## X21 0.285392103 0.165141479
## X22 -0.849538224 -0.885384357
## X23 -0.196067728 -0.280512302
## X24 0.799723825 0.641222476
## X25 0.798306933 2.622401413
## X26 1.099821507 1.138812367
## X27 -0.540089056 0.141796461
## X28 0.069457794 -0.034733848
## X29 0.053021849 -0.049947456
## X30 -0.359010285 -0.431336861
## X31 -1.033167401 -1.055357076
## X32 -1.033167401 -1.055357076
## X33 -1.033167401 -1.055357076
## X34 -1.033167401 -1.055357076
## X35 0.084476847 -0.020831759
## X36 -1.033167401 -1.055357076
## X37 -1.033167401 -1.055357076
## X38 1.743657139 1.514955700
## X39 0.113381439 0.005923206
## X40 0.364738044 0.238586482
## X41 1.826120241 1.591286041
## X42 0.053021849 -0.049947456
## X43 -1.033167401 -1.055357076
## X44 -0.709832693 -0.015323383
## X45 0.744465045 0.590073278
## X46 -0.409735011 -0.478289201
## X47 -1.033167401 -1.055357076
## X48 -0.332656097 -0.406942628
## X49 -0.198334755 -0.282610731
## X50 0.023833878 -0.076964725
## X51 -1.033167401 -1.055357076
## X52 -1.033167401 -1.055357076
## X53 -1.033167401 -1.055357076
## X54 0.744465045 0.590073278
## X55 -1.033167401 -1.055357076
## X56 0.023833878 -0.076964725
## X57 0.449468173 0.317015252
## X58 -0.682911749 0.110582335
## X59 0.980519218 0.808572160
## X60 0.908824493 0.742209354
## X61 0.023833878 -0.076964725
## X62 -0.287882317 -0.365498662
## X63 -1.033167401 -1.055357076
## X64 -1.033167401 -1.055357076
## X65 0.457402767 0.324359752
## X66 -0.459892981 -0.524716935
## X67 0.035452391 0.674535031
## X68 1.826120241 1.591286041
## X69 -1.033167401 -1.055357076
## X70 -0.801647282 -0.100309743
## X71 -1.033167401 -1.055357076
## X72 -1.033167401 -1.055357076
## X73 -0.771609176 -0.813250873
## X74 -0.849538224 2.125336130
## X75 -1.033167401 -1.055357076
## X76 1.826120241 1.591286041
## X77 -1.033167401 -1.055357076
## X78 0.441533579 0.309670752
## X79 -1.033167401 -1.055357076
## X80 0.285392103 0.165141479
## X81 0.679571401 0.530005758
## X82 -0.585712972 -0.641179724
## X83 -0.801647282 -0.100309743
## X84 0.758917341 0.603450761
## X85 -1.033167401 -1.055357076
## X86 -1.033167401 -1.055357076
## X87 -1.033167401 -1.055357076
## X88 0.507560737 0.370787486
## X89 2.186010757 2.144221987
## X90 -0.549440542 1.640599114
## X91 2.568288163 2.278259116
## X92 -0.295816911 -0.372843162
## X93 -1.033167401 -1.055357076
## X94 -0.026324091 -0.123392458
## X95 -0.065713683 -0.159852656
## X96 1.596017014 1.378295535
## X97 -1.033167401 -1.055357076
## X98 -1.033167401 -1.055357076
## X99 -0.065713683 -0.159852656
## X100 -1.033167401 -1.055357076
## X101 -1.033167401 -1.055357076
## X102 -0.801647282 -0.100309743
## X103 0.023833878 -0.076964725
## X104 -0.302617991 -0.379138448
## X105 0.026100905 0.588761760
## X106 -0.459892981 0.138911121
## X107 -0.240841509 -0.321956268
## X108 1.826120241 1.591286041
## X109 0.013065500 3.438427849
## X110 0.908824493 0.742209354
## X111 0.457402767 0.324359752
## X112 -1.033167401 -1.055357076
## X113 0.023833878 -0.076964725
## X114 0.589457083 0.446593220
## X115 -1.033167401 -1.055357076
## X116 0.616094648 0.471249757
## X117 -0.459892981 -0.524716935
## X118 -1.033167401 -1.055357076
## X119 -1.033167401 -1.055357076
## X120 -0.295816911 -0.372843162
## X121 -0.678094317 -0.726690691
## X122 -1.033167401 -1.055357076
## X123 0.597108298 2.216355472
## X124 -1.033167401 -1.055357076
## X125 -1.033167401 -1.055357076
## X126 -1.033167401 -1.055357076
## X127 -1.033167401 -1.055357076
## X128 -1.033167401 -1.055357076
## X129 -1.033167401 -1.055357076
## X130 -1.033167401 -1.055357076
## X131 -1.033167401 -1.055357076
## X132 -1.033167401 -1.055357076
## X133 -1.033167401 -1.055357076
## X134 -1.033167401 -1.055357076
## X135 -1.033167401 -1.055357076
## X136 -1.033167401 -1.055357076
## X137 -1.033167401 -1.055357076
## X138 0.063223470 -0.040504527
## X139 -1.033167401 -1.055357076
## X140 -0.585712972 -0.641179724
## X141 -1.033167401 -1.055357076
## X142 -1.033167401 -1.055357076
## X143 -1.033167401 -1.055357076
## X144 -1.033167401 -1.055357076
## X145 -1.033167401 -1.055357076
## X146 -1.033167401 -1.055357076
## X147 -1.033167401 -1.055357076
## X148 -1.033167401 -1.055357076
## X149 -1.033167401 -1.055357076
## X150 -1.033167401 -1.055357076
## X151 -1.033167401 -1.055357076
## X152 -0.162912460 -0.249822784
## X153 -1.033167401 -1.055357076
## X154 -1.033167401 -1.055357076
## X155 -1.033167401 -1.055357076
## X156 -1.033167401 -1.055357076
## X157 -1.033167401 -1.055357076
## X158 -1.033167401 -1.055357076
## X159 -1.033167401 -1.055357076
## X160 -0.771609176 -0.813250873
## X161 -1.033167401 -1.055357076
## X162 0.023833878 -0.076964725
## X163 -1.033167401 -1.055357076
## X164 1.736572680 1.508398110
## X165 -1.033167401 -1.055357076
## X166 -1.033167401 -1.055357076
## X167 -1.033167401 -1.055357076
## X168 0.744465045 1.253701335
## X169 -0.510050950 1.855163443
## X170 0.850165173 0.687912513
## X171 2.571405325 2.281144456
## X172 -1.033167401 -1.055357076
## X173 1.789281054 1.776996976
## X174 0.730012749 0.576695796
## X175 -1.033167401 -1.055357076
## X176 -0.801647282 -0.100309743
## X177 0.679571401 1.193633815
## X178 -0.459892981 -0.524716935
## X179 1.170382718 0.984315558
## X180 0.113381439 0.005923206
## X181 -0.801647282 -0.100309743
## X182 1.603951608 1.385640035
## X183 -1.033167401 -0.314611768
## X184 0.270656429 0.151501693
## X185 0.113381439 0.005923206
## X186 0.115648466 0.008021635
## X187 -1.033167401 -1.055357076
## X188 -0.941352813 -0.970370717
## X189 -0.709832693 -0.015323383
## X190 -0.248492725 1.433641590
## X191 1.826120241 1.591286041
## X192 0.188193326 0.075171351
## X193 -1.033167401 -1.055357076
## X194 0.023833878 -0.076964725
## X195 -1.033167401 -1.055357076
## X196 0.195844542 0.082253548
## X197 0.116781980 1.108122848
## X198 -0.457625954 0.141009550
## X199 -1.033167401 -1.055357076
## X200 -1.033167401 -1.055357076
## X201 -1.033167401 -1.055357076
## X202 0.023833878 -0.076964725
## X203 -0.026324091 -0.123392458
## X204 0.607593298 1.562432648
## X205 -0.459892981 -0.524716935
## X206 0.315146831 0.192683355
## X207 -0.510050950 1.855163443
## X208 -1.033167401 -1.055357076
## X209 -1.033167401 -1.055357076
## X210 -1.033167401 -1.055357076
## X211 -1.033167401 -1.055357076
## X212 -0.678094317 -0.726690691
## X213 -1.033167401 -1.055357076
## X214 -0.026324091 -0.123392458
## X215 -1.033167401 -1.055357076
## X216 -1.033167401 -1.055357076
## X217 -1.033167401 -1.055357076
## X218 1.955057394 1.967953982
## X219 0.023833878 -0.076964725
## X220 -1.033167401 -1.055357076
## X221 -0.459892981 -0.524716935
## X222 -1.033167401 -1.055357076
## X223 -1.033167401 -1.055357076
## X224 -1.033167401 -1.055357076
## X225 -1.033167401 -1.055357076
## X226 -1.033167401 -1.055357076
## X227 -1.033167401 -1.055357076
## X228 -1.033167401 -1.055357076
## X229 -1.033167401 -1.055357076
## X230 -1.033167401 -1.055357076
## X231 -1.033167401 -1.055357076
## X232 -1.033167401 -1.055357076
## X233 0.616094648 0.471249757
## X234 0.023833878 -0.076964725
## X235 -1.033167401 -1.055357076
## X236 0.116781980 1.108122848
## X237 -1.033167401 -1.055357076
## X238 -1.033167401 -1.055357076
## X239 0.285392103 0.165141479
## X240 4.113550354 3.708600536
## X241 -1.033167401 -1.055357076
## X242 -1.033167401 -1.055357076
## X243 -0.094618276 -0.186607621
## X244 2.004648607 1.976347696
## X245 0.285392103 0.165141479
## X246 0.053021849 -0.049947456
## X247 2.004648607 1.976347696
## X248 -0.549440542 -0.607604866
## X249 -1.033167401 -1.055357076
## X250 0.023833878 -0.076964725
## X251 -1.033167401 -0.314611768
## X252 -0.250192995 -0.330612286
## X253 -1.033167401 -1.055357076
## X254 0.532214654 0.393607897
## X255 0.647266268 1.240848459
## X256 0.449468173 0.317015252
## X257 0.187909948 0.074909048
## X258 -1.033167401 -1.055357076
## X259 -1.033167401 -1.055357076
## X260 0.023833878 -0.076964725
## X261 0.850731929 0.908247520
## X262 -1.033167401 -1.055357076
## X263 -1.033167401 -1.055357076
## X264 -0.302617991 -0.379138448
## X265 -1.033167401 -1.055357076
## X266 -1.033167401 -1.055357076
## X267 0.441533579 0.309670752
## X268 -0.287882317 -0.365498662
## X269 0.065490497 -0.038406098
## X270 0.285392103 0.165141479
## X271 0.023833878 -0.076964725
## X272 -0.196067728 -0.280512302
## X273 -1.033167401 -1.055357076
## X274 0.850731929 0.688437121
## X275 0.023833878 -0.076964725
## X276 1.126459073 0.943658503
## X277 0.258754538 0.140484943
## X278 0.510111142 1.214880405
## X279 -0.667892696 -0.717247762
## X280 -0.459892981 -0.524716935
## X281 -1.033167401 -1.055357076
## X282 0.586056542 0.443445577
## X283 -1.033167401 -1.055357076
## X284 0.297010616 0.175895926
## X285 -0.208536376 -0.292053660
## X286 1.743090382 1.734241492
## X287 1.956757664 1.712207992
## X288 1.334458788 1.136189331
## X289 4.113550354 3.708600536
## X290 0.692890184 0.542334027
## X291 -1.033167401 -1.055357076
## X292 1.750174841 1.740799082
## X293 0.113381439 0.005923206
## X294 -0.771609176 -0.813250873
## X295 0.969467462 0.798342320
## X296 2.266206832 2.218453900
## X297 -0.287882317 -0.365498662
## X298 -0.208536376 -0.292053660
## X299 1.099821507 0.919001967
## X300 -0.459892981 -0.524716935
## X301 -0.941352813 -0.970370717
## X302 0.364738044 0.238586482
## X303 0.744465045 1.253701335
## X304 2.330250342 2.497544909
## X305 1.099821507 1.138812367
## X306 -1.033167401 -1.055357076
## X307 -0.002803688 -0.101621261
## X308 2.689290722 2.390262745
## X309 -0.002803688 -0.101621261
## X310 1.564562016 1.349179838
## X311 -1.033167401 -1.055357076
## X312 4.113550354 3.708600536
## X313 -0.941352813 -0.970370717
## X314 -1.033167401 -1.055357076
## X315 -0.771609176 -0.813250873
## X316 -1.033167401 -1.055357076
## X317 -1.033167401 -1.055357076
## X318 1.111723398 0.930018717
## X319 0.053021849 0.613680600
## X320 1.418622161 1.214093494
## X321 0.285392103 0.165141479
## X322 0.882186927 0.717552818
## X323 -0.667892696 1.041235435
## X324 -1.033167401 -1.055357076
## X325 -1.033167401 -1.055357076
## X326 -1.033167401 -1.055357076
## X327 -1.033167401 -1.055357076
## X328 0.023833878 -0.076964725
## X329 -1.033167401 -1.055357076
## X330 -0.295816911 -0.372843162
## X331 1.099821507 1.138812367
## X332 -0.208536376 -0.292053660
## X333 -0.196067728 -0.280512302
## X334 0.449468173 0.317015252
## X335 0.790372339 0.632566458
## X336 -1.033167401 -1.055357076
## X337 2.004648607 1.976347696
## X338 0.053021849 -0.049947456
## X339 0.163822787 0.052613244
## X340 0.597108298 0.453675417
## X341 -0.549440542 -0.607604866
## X342 -1.033167401 -1.055357076
## X343 -0.104253140 -0.195525943
## X344 0.597108298 1.552727415
## X345 -0.667892696 -0.717247762
## X346 0.616094648 1.312981944
## X347 1.743657139 1.514955700
## X348 0.258754538 0.140484943
## X349 -1.033167401 -1.055357076
## X350 0.410361960 0.280817358
## X351 -0.287882317 -0.365498662
## X352 -0.941352813 0.534989527
## X353 1.099821507 1.138812367
## X354 -0.679794587 -0.728264513
## X355 0.023833878 -0.076964725
## X356 -1.033167401 -1.055357076
## X357 0.718960993 0.786276356
## X358 0.023833878 -0.076964725
## X359 0.616094648 1.312981944
## X360 0.418013175 0.287899555
## X361 -0.287882317 -0.365498662
## X362 -1.033167401 -1.055357076
## X363 1.743090382 1.734241492
## X364 -1.033167401 -1.055357076
## X365 0.144836437 0.035038904
## X366 -1.033167401 -1.055357076
## X367 -1.033167401 -1.055357076
## X368 -1.033167401 -1.055357076
## X369 -0.196067728 -0.280512302
## X370 2.320898856 2.488888891
## X371 -1.033167401 -1.055357076
## X372 0.364738044 0.238586482
## X373 -1.033167401 -1.055357076
## X374 0.714993696 0.562793706
## X375 0.582372624 0.440035631
## X376 1.654109577 1.432067769
## X377 1.170382718 0.984315558
## X378 -0.600448647 -0.654819510
## X379 -1.033167401 -1.055357076
## X380 -1.033167401 -1.055357076
## X381 0.285392103 0.165141479
## X382 1.191636095 1.223798726
## X383 2.227383997 1.962707910
## X384 -0.065713683 -0.159852656
## X385 0.507560737 0.370787486
## X386 1.743090382 1.734241492
## X387 0.691189913 0.540760205
## X388 2.069542251 2.036415216
## X389 1.298469737 2.063432485
## X390 0.117915493 0.010120064
## X391 1.170382718 0.984315558
## X392 0.065490497 -0.038406098
## X393 -1.033167401 -1.055357076
## X394 -1.033167401 -1.055357076
## X395 0.449468173 0.317015252
## X396 -1.033167401 -1.055357076
## X397 -0.459892981 -0.524716935
## X398 -0.459892981 -0.524716935
## X399 -1.033167401 -1.055357076
## X400 0.144836437 0.035038904
## X401 0.151637518 0.041334190
## X402 1.334458788 1.136189331
## X403 0.113381439 0.005923206
## X404 -0.549440542 -0.607604866
## X405 0.117915493 0.010120064
## X406 0.023833878 -0.076964725
## X407 0.381740745 0.254324696
## X408 -1.033167401 -1.055357076
## X409 1.099821507 0.919001967
## X410 2.320898856 2.488888891
## X411 2.005215364 1.757061904
## X412 1.377815677 1.396132178
## X413 0.510111142 1.214880405
## X414 -0.295816911 -0.372843162
## X415 -1.033167401 -1.055357076
## X416 -1.033167401 -1.055357076
## X417 1.743090382 1.734241492
## X418 0.113381439 0.005923206
## X419 0.023833878 -0.076964725
## X420 -0.591097161 -0.646163492
## X421 0.364738044 0.238586482
## X422 0.285392103 0.165141479
## X423 1.654109577 1.432067769
## X424 1.810534431 1.576859345
## X425 1.654109577 1.432067769
## X426 -0.065713683 -0.159852656
## X427 -1.033167401 -1.055357076
## X428 -1.033167401 -1.055357076
## X429 -1.033167401 -1.055357076
## X430 -0.208536376 -0.292053660
## X431 -1.033167401 -1.055357076
## X432 0.023833878 -0.076964725
## X433 -1.033167401 -1.055357076
## X434 0.692890184 0.542334027
## X435 -0.549440542 -0.607604866
## X436 -1.033167401 -1.055357076
## X437 5.512589313 5.003593308
## X438 1.654109577 1.432067769
## X439 -1.033167401 -1.055357076
## X440 -1.033167401 -1.055357076
## X441 0.601642352 0.457872274
## X442 0.466754253 0.333015770
## X443 1.837171997 1.821326281
## X444 0.449468173 0.317015252
## X445 -0.457625954 0.141009550
## X446 0.053021849 -0.049947456
## X447 -0.287882317 -0.365498662
## X448 -0.457625954 0.141009550
## X449 0.065490497 -0.038406098
## X450 -0.585712972 -0.641179724
## X451 0.023833878 -0.076964725
## X452 2.005215364 1.757061904
## X453 0.456836011 0.323835145
## X454 2.570838568 2.280619849
## [ reached 'max' / getOption("max.print") -- omitted 497 rows ]
##
## $yData
## [1] Low Low Low Low Low Low Low Low Low Low Low Low Low Low Low
## [16] Low Low Low Low Low Low Low Low Low Low Low Low Low Low Low
## [31] Low Low Low Low Low Low Low Low Low Low Low Low Low Low Low
## [46] Low Low Low Low Low Low Low Low Low Low Low Low Low Low Low
## [61] Low Low Low Low Low Low Low Low Low Low Low Low Low Low Low
## [76] Low Low Low Low Low Low Low Low Low Low Low Low Low Low Low
## [91] Low Low Low Low Low Low Low Low Low Low Low Low Low Low Low
## [106] Low Low Low Low Low Low Low Low Low Low Low Low Low Low Low
## [121] Low Low Low Low Low Low Low Low Low Low Low Low Low Low Low
## [136] Low Low Low Low Low Low Low Low Low Low Low Low Low Low Low
## [151] Low Low Low Low Low Low Low Low Low Low Low Low Low Low Low
## [166] Low Low Low Low Low Low Low Low Low Low Low Low Low Low Low
## [181] Low Low Low Low Low Low Low Low Low Low Low Low Low Low Low
## [196] Low Low Low Low Low Low Low Low Low Low Low Low Low Low Low
## [211] Low Low Low Low Low Low Low Low Low Low Low Low Low Low Low
## [226] Low Low Low Low Low Low Low Low Low Low Low Low Low High High
## [241] High High High High High High High High High High High High High High High
## [256] High High High High High High High High High High High High High High Low
## [271] Low Low Low Low Low Low Low Low Low Low Low Low Low Low Low
## [286] Low Low Low Low Low Low Low Low Low Low Low Low Low Low Low
## [301] Low Low Low Low Low Low Low Low Low Low Low Low Low Low Low
## [316] Low Low Low Low Low Low Low Low Low Low Low Low Low Low Low
## [331] Low Low Low Low Low Low Low Low Low Low Low Low Low Low Low
## [346] Low Low Low Low Low Low Low Low Low Low Low Low Low Low Low
## [361] Low Low Low Low Low Low Low Low Low Low Low Low Low Low Low
## [376] Low Low Low Low Low Low Low Low Low Low Low Low Low Low Low
## [391] Low Low Low Low Low High High High High High High High High High High
## [406] High High High High High High High High Low Low Low Low Low Low Low
## [421] Low Low Low Low Low Low Low Low Low Low Low Low Low Low Low
## [436] Low Low Low Low Low Low Low Low Low Low Low Low Low Low Low
## [451] Low Low Low Low Low Low Low Low Low Low Low Low Low Low Low
## [466] Low Low Low Low Low Low Low Low Low Low Low High High High High
## [481] High High High High High High High High High High High High High High High
## [496] High High High High High High High High High High High High High High High
## [511] High High High High High High High High High High High High High High High
## [526] High High High High High High High High High High High High High High High
## [541] High High High High High High High High High High High High High High High
## [556] High High High High High High High High High High High High High High High
## [571] High High High High High High High High High High High High High High High
## [586] High High High High High High High High High High High High High High High
## [601] High High High High High High High High High High High High High High High
## [616] High High High High High High High High High High High High High High High
## [631] High High High High High High High High High High High High High High High
## [646] High High High High High High High High High High High High High High High
## [661] High High High High High High High High High High High High High High High
## [676] High High High High High High High High High High High High High High High
## [691] High High High High High High High High High High High High High High High
## [706] High High High High High High High High High High High High High High High
## [721] High High High High High High High High High High High High High High High
## [736] High High High High High High High High High High High High High High High
## [751] High High High High High High High High High High High High High High High
## [766] High High High High High High High High High High High High High High High
## [781] High High High High High High High High High High High High High High High
## [796] High High High High High High High High High High High High High High High
## [811] High High High High High High High High High High High High High High High
## [826] High High High High High High High High High High High High High High High
## [841] High High High High High High High High High High High High High High High
## [856] High High High High High High High High High High High High High High High
## [871] High High High High High High High High High High High High High High High
## [886] High High High High High High High High High High High High High High High
## [901] High High High High High High High High High High High High High High High
## [916] High High High High High High High High High High High High High High High
## [931] High High High High High High High High High High High High High High High
## [946] High High High High High High
## Levels: Low High
##
## $xNames
## [1] "FP001" "FP002" "FP003"
## [4] "FP004" "FP005" "FP006"
## [7] "FP007" "FP008" "FP009"
## [10] "FP010" "FP011" "FP012"
## [13] "FP013" "FP014" "FP015"
## [16] "FP016" "FP017" "FP018"
## [19] "FP019" "FP020" "FP021"
## [22] "FP022" "FP023" "FP024"
## [25] "FP025" "FP026" "FP027"
## [28] "FP028" "FP029" "FP030"
## [31] "FP031" "FP032" "FP033"
## [34] "FP034" "FP035" "FP036"
## [37] "FP037" "FP038" "FP039"
## [40] "FP040" "FP041" "FP042"
## [43] "FP043" "FP044" "FP045"
## [46] "FP046" "FP047" "FP048"
## [49] "FP049" "FP050" "FP051"
## [52] "FP052" "FP053" "FP054"
## [55] "FP055" "FP056" "FP057"
## [58] "FP058" "FP059" "FP060"
## [61] "FP061" "FP062" "FP063"
## [64] "FP064" "FP065" "FP066"
## [67] "FP067" "FP068" "FP069"
## [70] "FP070" "FP071" "FP072"
## [73] "FP073" "FP074" "FP075"
## [76] "FP076" "FP077" "FP078"
## [79] "FP079" "FP080" "FP081"
## [82] "FP082" "FP083" "FP084"
## [85] "FP085" "FP086" "FP087"
## [88] "FP088" "FP089" "FP090"
## [91] "FP091" "FP092" "FP093"
## [94] "FP094" "FP095" "FP096"
## [97] "FP097" "FP098" "FP099"
## [100] "FP100" "FP101" "FP102"
## [103] "FP103" "FP104" "FP105"
## [106] "FP106" "FP107" "FP108"
## [109] "FP109" "FP110" "FP111"
## [112] "FP112" "FP113" "FP114"
## [115] "FP115" "FP116" "FP117"
## [118] "FP118" "FP119" "FP120"
## [121] "FP121" "FP122" "FP123"
## [124] "FP124" "FP125" "FP126"
## [127] "FP127" "FP128" "FP129"
## [130] "FP130" "FP131" "FP132"
## [133] "FP133" "FP134" "FP135"
## [136] "FP136" "FP137" "FP138"
## [139] "FP139" "FP140" "FP141"
## [142] "FP142" "FP143" "FP144"
## [145] "FP145" "FP146" "FP147"
## [148] "FP148" "FP149" "FP150"
## [151] "FP151" "FP152" "FP153"
## [154] "FP155" "FP156" "FP157"
## [157] "FP158" "FP159" "FP160"
## [160] "FP161" "FP162" "FP163"
## [163] "FP164" "FP165" "FP166"
## [166] "FP167" "FP168" "FP169"
## [169] "FP170" "FP171" "FP172"
## [172] "FP173" "FP174" "FP175"
## [175] "FP176" "FP177" "FP178"
## [178] "FP179" "FP180" "FP181"
## [181] "FP182" "FP183" "FP184"
## [184] "FP185" "FP186" "FP187"
## [187] "FP188" "FP189" "FP190"
## [190] "FP191" "FP192" "FP193"
## [193] "FP194" "FP195" "FP196"
## [196] "FP197" "FP198" "FP201"
## [199] "FP202" "FP203" "FP204"
## [202] "FP205" "FP206" "FP207"
## [205] "FP208" "MolWeight" "NumBonds"
## [208] "NumMultBonds" "NumRotBonds" "NumDblBonds"
## [211] "NumCarbon" "NumNitrogen" "NumOxygen"
## [214] "NumSulfer" "NumChlorine" "NumHalogen"
## [217] "NumRings" "HydrophilicFactor" "SurfaceArea1"
## [220] "SurfaceArea2"
##
## $problemType
## [1] "Classification"
##
## $tuneValue
## threshold
## 1 0
##
## $obsLevels
## [1] "Low" "High"
## attr(,"ordered")
## [1] FALSE
##
## $param
## list()
##
## attr(,"class")
## [1] "pamrtrained"NSC_Tune$results## threshold ROC Sens Spec ROCSD SensSD SpecSD
## 1 0 0.8662268 0.73289037 0.8111756 0.04304383 0.07762574 0.058680015
## 2 1 0.8506061 0.75874862 0.7864296 0.04510309 0.06988456 0.061942549
## 3 2 0.8423625 0.75642303 0.7920900 0.04603917 0.06821025 0.057910338
## 4 3 0.8452235 0.74939092 0.7977141 0.04694042 0.07866890 0.051514933
## 5 4 0.8496146 0.69335548 0.8473149 0.04925590 0.07823711 0.059665077
## 6 5 0.8482607 0.63283499 0.8854499 0.04933820 0.08297623 0.060328817
## 7 6 0.8523256 0.51306755 0.9160377 0.04688017 0.07061927 0.055446607
## 8 7 0.8567815 0.25027685 0.9770682 0.04392608 0.09298992 0.029762016
## 9 8 0.8600584 0.01168328 0.9961901 0.04172407 0.01648872 0.008032365(NSC_Train_ROCCurveAUC <- NSC_Tune$results[NSC_Tune$results$threshold==NSC_Tune$bestTune$threshold,
c("ROC")])## [1] 0.8662268##################################
# Identifying and plotting the
# best model predictors
##################################
NSC_VarImp <- varImp(NSC_Tune, scale = TRUE)
plot(NSC_VarImp,
top=25,
scales=list(y=list(cex = .95)),
main="Ranked Variable Importance : Nearest Shrunken Centroids",
xlab="Scaled Variable Importance Metrics",
ylab="Predictors",
cex=2,
origin=0,
alpha=0.45)
##################################
# Independently evaluating the model
# on the test set
##################################
NSC_Test <- data.frame(NSC_Observed = PMA_PreModelling_Test_NSC$Log_Solubility_Class,
NSC_Predicted = predict(NSC_Tune,
PMA_PreModelling_Test_NSC[,!names(PMA_PreModelling_Test_NSC) %in% c("Log_Solubility_Class")],
type = "prob"))
NSC_Test## NSC_Observed NSC_Predicted.Low NSC_Predicted.High
## 1 High 0.0006451421 9.993549e-01
## 2 High 0.0002155134 9.997845e-01
## 3 High 0.0604052901 9.395947e-01
## 4 High 0.0036516100 9.963484e-01
## 5 High 0.0127876960 9.872123e-01
## 6 High 0.0003903184 9.996097e-01
## 7 High 0.0009972407 9.990028e-01
## 8 High 0.0033402920 9.966597e-01
## 9 High 0.0010627698 9.989372e-01
## 10 High 0.1138515825 8.861484e-01
## 11 High 0.0610720674 9.389279e-01
## 12 High 0.4255360697 5.744639e-01
## 13 High 0.0017229985 9.982770e-01
## 14 High 0.0020473609 9.979526e-01
## 15 High 0.0663941770 9.336058e-01
## 16 High 0.1786758840 8.213241e-01
## 17 High 0.0317688876 9.682311e-01
## 18 High 0.0013350406 9.986650e-01
## 19 High 0.0165625828 9.834374e-01
## 20 High 0.2110285968 7.889714e-01
## 21 High 0.0049303783 9.950696e-01
## 22 High 0.0041076900 9.958923e-01
## 23 High 0.0033128336 9.966872e-01
## 24 High 0.0349658408 9.650342e-01
## 25 High 0.0016530272 9.983470e-01
## 26 High 0.0740667283 9.259333e-01
## 27 High 0.0117268171 9.882732e-01
## 28 High 0.0114968940 9.885031e-01
## 29 High 0.8444140973 1.555859e-01
## 30 High 0.0362966029 9.637034e-01
## 31 High 0.9177869219 8.221308e-02
## 32 High 0.0018008068 9.981992e-01
## 33 High 0.0018414958 9.981585e-01
## 34 High 0.0262377857 9.737622e-01
## 35 High 0.0126567263 9.873433e-01
## 36 High 0.0018063539 9.981936e-01
## 37 High 0.0072185822 9.927814e-01
## 38 High 0.0020931449 9.979069e-01
## 39 High 0.0187987024 9.812013e-01
## 40 High 0.0042009170 9.957991e-01
## 41 High 0.0015451771 9.984548e-01
## 42 High 0.7900253745 2.099746e-01
## 43 High 0.0623805741 9.376194e-01
## 44 High 0.0001318583 9.998681e-01
## 45 High 0.0094873913 9.905126e-01
## 46 High 0.0039090942 9.960909e-01
## 47 High 0.0037091520 9.962908e-01
## 48 High 0.0016046890 9.983953e-01
## 49 High 0.0022270332 9.977730e-01
## 50 High 0.0208788218 9.791212e-01
## 51 High 0.0029586276 9.970414e-01
## 52 High 0.0051965990 9.948034e-01
## 53 High 0.1412080677 8.587919e-01
## 54 High 0.0027853958 9.972146e-01
## 55 High 0.0072298168 9.927702e-01
## 56 High 0.0943990696 9.056009e-01
## 57 High 0.0046030522 9.953969e-01
## 58 High 0.0705826967 9.294173e-01
## 59 High 0.0378928514 9.621071e-01
## 60 High 0.5375022873 4.624977e-01
## 61 High 0.0141514443 9.858486e-01
## 62 High 0.0044352392 9.955648e-01
## 63 High 0.0452858623 9.547141e-01
## 64 High 0.0060561748 9.939438e-01
## 65 High 0.1568926225 8.431074e-01
## 66 High 0.9603224703 3.967753e-02
## 67 High 0.2848295126 7.151705e-01
## 68 High 0.8740413066 1.259587e-01
## 69 High 0.2092377088 7.907623e-01
## 70 High 0.4545052487 5.454948e-01
## 71 High 0.1044235855 8.955764e-01
## 72 High 0.1855730399 8.144270e-01
## 73 High 0.0330928020 9.669072e-01
## 74 High 0.9306661556 6.933384e-02
## 75 High 0.0994052177 9.005948e-01
## 76 High 0.0146100639 9.853899e-01
## 77 High 0.0766221354 9.233779e-01
## 78 High 0.0104427733 9.895572e-01
## 79 High 0.0346527577 9.653472e-01
## 80 High 0.1009499622 8.990500e-01
## 81 High 0.0654556273 9.345444e-01
## 82 High 0.1117124831 8.882875e-01
## 83 High 0.0119600012 9.880400e-01
## 84 High 0.0038588189 9.961412e-01
## 85 High 0.3558402137 6.441598e-01
## 86 High 0.0045565456 9.954435e-01
## 87 High 0.8136371244 1.863629e-01
## 88 High 0.6218632759 3.781367e-01
## 89 High 0.0122704930 9.877295e-01
## 90 High 0.0243772968 9.756227e-01
## 91 High 0.1983860000 8.016140e-01
## 92 High 0.2027821824 7.972178e-01
## 93 High 0.9056529367 9.434706e-02
## 94 High 0.1587829028 8.412171e-01
## 95 High 0.0624728156 9.375272e-01
## 96 High 0.0384895305 9.615105e-01
## 97 High 0.1057861890 8.942138e-01
## 98 High 0.3845721632 6.154278e-01
## 99 High 0.0270587001 9.729413e-01
## 100 High 0.0052493149 9.947507e-01
## 101 High 0.0106982381 9.893018e-01
## 102 High 0.1165548893 8.834451e-01
## 103 High 0.3981173362 6.018827e-01
## 104 High 0.0457464643 9.542535e-01
## 105 High 0.0099848730 9.900151e-01
## 106 High 0.0504588490 9.495412e-01
## 107 High 0.9010348692 9.896513e-02
## 108 High 0.5953615657 4.046384e-01
## 109 High 0.4940206315 5.059794e-01
## 110 High 0.7847934712 2.152065e-01
## 111 High 0.1614638537 8.385361e-01
## 112 High 0.8241775179 1.758225e-01
## 113 High 0.1280848277 8.719152e-01
## 114 High 0.7593350386 2.406650e-01
## 115 High 0.9873332495 1.266675e-02
## 116 High 0.9318522720 6.814773e-02
## 117 High 0.8966058414 1.033942e-01
## 118 High 0.0044359562 9.955640e-01
## 119 Low 0.7059862458 2.940138e-01
## 120 Low 0.9992039934 7.960066e-04
## 121 Low 0.9254749153 7.452508e-02
## 122 Low 0.0614419655 9.385580e-01
## 123 Low 0.8216358132 1.783642e-01
## 124 Low 0.0145674300 9.854326e-01
## 125 Low 0.7790689837 2.209310e-01
## 126 Low 0.3265989491 6.734011e-01
## 127 Low 0.0216945436 9.783055e-01
## 128 Low 0.1944302765 8.055697e-01
## 129 Low 0.0282641441 9.717359e-01
## 130 Low 0.9870327120 1.296729e-02
## 131 Low 0.1769263234 8.230737e-01
## 132 Low 0.6147460621 3.852539e-01
## 133 Low 0.9670585597 3.294144e-02
## 134 Low 0.4175143677 5.824856e-01
## 135 Low 0.0060725476 9.939275e-01
## 136 Low 0.2789407323 7.210593e-01
## 137 Low 0.7864057952 2.135942e-01
## 138 Low 0.1817168682 8.182831e-01
## 139 Low 0.0458896309 9.541104e-01
## 140 Low 0.8360770959 1.639229e-01
## 141 Low 0.6099989237 3.900011e-01
## 142 Low 0.9408002570 5.919974e-02
## 143 Low 0.9971660007 2.833999e-03
## 144 Low 0.6743596806 3.256403e-01
## 145 Low 0.6514118409 3.485882e-01
## 146 Low 0.6576481694 3.423518e-01
## 147 Low 0.8914030599 1.085969e-01
## 148 Low 0.6621449861 3.378550e-01
## 149 Low 0.0177509658 9.822490e-01
## 150 Low 0.9491547834 5.084522e-02
## 151 Low 0.5203157974 4.796842e-01
## 152 Low 0.9961080716 3.891928e-03
## 153 Low 0.0095049175 9.904951e-01
## 154 Low 0.1853892874 8.146107e-01
## 155 Low 0.8740987088 1.259013e-01
## 156 Low 0.9674183514 3.258165e-02
## 157 Low 0.8946839739 1.053160e-01
## 158 Low 0.9999337235 6.627646e-05
## 159 Low 0.0447853229 9.552147e-01
## 160 Low 0.9939275185 6.072482e-03
## 161 Low 0.9129391235 8.706088e-02
## 162 Low 0.9957596197 4.240380e-03
## 163 Low 0.2242162462 7.757838e-01
## 164 Low 0.7539654647 2.460345e-01
## 165 Low 0.9966972430 3.302757e-03
## 166 Low 0.3112479576 6.887520e-01
## 167 Low 0.9991233346 8.766654e-04
## 168 Low 0.6520699832 3.479300e-01
## 169 Low 0.6785401780 3.214598e-01
## 170 Low 0.9785772776 2.142272e-02
## 171 Low 0.1502065053 8.497935e-01
## 172 Low 0.1152558521 8.847441e-01
## 173 Low 0.9943281827 5.671817e-03
## 174 Low 0.0549368462 9.450632e-01
## 175 Low 0.9896569892 1.034301e-02
## 176 Low 0.9642378155 3.576218e-02
## 177 Low 0.7790371001 2.209629e-01
## 178 Low 0.9972559255 2.744074e-03
## 179 Low 0.9971255101 2.874490e-03
## 180 Low 0.0767808327 9.232192e-01
## 181 Low 0.4301839881 5.698160e-01
## 182 Low 0.8580215080 1.419785e-01
## 183 Low 0.6163950576 3.836049e-01
## 184 Low 0.0692678605 9.307321e-01
## 185 Low 0.9942257577 5.774242e-03
## 186 Low 0.9919312293 8.068771e-03
## 187 Low 0.8021939594 1.978060e-01
## 188 Low 0.9940449615 5.955038e-03
## 189 Low 0.9992009255 7.990745e-04
## 190 Low 0.9858106244 1.418938e-02
## 191 Low 0.9988732188 1.126781e-03
## 192 Low 0.8293315437 1.706685e-01
## 193 Low 0.9982746009 1.725399e-03
## 194 Low 0.9977498074 2.250193e-03
## 195 Low 0.5610525943 4.389474e-01
## 196 Low 0.9847347160 1.526528e-02
## 197 Low 0.9795852037 2.041480e-02
## 198 Low 0.9945028341 5.497166e-03
## 199 Low 0.9874691327 1.253087e-02
## 200 Low 0.9927605623 7.239438e-03
## 201 Low 0.9938890399 6.110960e-03
## 202 Low 0.9998255334 1.744666e-04
## 203 Low 0.9998620929 1.379071e-04
## 204 Low 0.9995375420 4.624580e-04
## 205 Low 0.9428008480 5.719915e-02
## 206 Low 0.9604329765 3.956702e-02
## 207 Low 0.9933658354 6.634165e-03
## 208 Low 0.9596194312 4.038057e-02
## 209 Low 0.9833061545 1.669385e-02
## 210 Low 0.9982821586 1.717841e-03
## 211 Low 0.9997679953 2.320047e-04
## 212 Low 0.9999084539 9.154606e-05
## 213 Low 0.9997814480 2.185520e-04
## 214 Low 0.9998359264 1.640736e-04
## 215 Low 0.9983247200 1.675280e-03
## 216 Low 0.9999608221 3.917790e-05
## 217 High 0.0074646417 9.925354e-01
## 218 High 0.0005760025 9.994240e-01
## 219 High 0.0002649070 9.997351e-01
## 220 High 0.0008848922 9.991151e-01
## 221 High 0.0187393374 9.812607e-01
## 222 High 0.0007936273 9.992064e-01
## 223 High 0.0021676805 9.978323e-01
## 224 High 0.0023409681 9.976590e-01
## 225 High 0.7194570709 2.805429e-01
## 226 High 0.1901781286 8.098219e-01
## 227 High 0.0030597464 9.969403e-01
## 228 High 0.0356846918 9.643153e-01
## 229 High 0.0010122283 9.989878e-01
## 230 High 0.5725853361 4.274147e-01
## 231 High 0.0062145433 9.937855e-01
## 232 High 0.0090779468 9.909221e-01
## 233 High 0.0044657553 9.955342e-01
## 234 High 0.0553769178 9.446231e-01
## 235 High 0.0045671499 9.954329e-01
## 236 High 0.1905650501 8.094349e-01
## 237 High 0.1689928956 8.310071e-01
## 238 High 0.4297281313 5.702719e-01
## 239 High 0.1412080677 8.587919e-01
## 240 High 0.0227777896 9.772222e-01
## 241 High 0.0030204347 9.969796e-01
## 242 High 0.0024685397 9.975315e-01
## 243 High 0.0043818648 9.956181e-01
## 244 High 0.4988962890 5.011037e-01
## 245 High 0.8989197706 1.010802e-01
## 246 High 0.0245100099 9.754900e-01
## 247 High 0.0047309052 9.952691e-01
## 248 High 0.0393670009 9.606330e-01
## 249 High 0.0120412984 9.879587e-01
## 250 High 0.0137409392 9.862591e-01
## 251 High 0.0918186102 9.081814e-01
## 252 High 0.1189486505 8.810513e-01
## 253 High 0.0846307230 9.153693e-01
## 254 High 0.9048304888 9.516951e-02
## 255 High 0.0240351907 9.759648e-01
## 256 High 0.4969369759 5.030630e-01
## 257 High 0.0298939066 9.701061e-01
## 258 High 0.4463491338 5.536509e-01
## 259 High 0.7813977296 2.186023e-01
## 260 High 0.0335418128 9.664582e-01
## 261 High 0.0145031733 9.854968e-01
## 262 High 0.2216389279 7.783611e-01
## 263 High 0.0209186265 9.790814e-01
## 264 High 0.4445345695 5.554654e-01
## 265 High 0.9826378538 1.736215e-02
## 266 High 0.6162120467 3.837880e-01
## 267 High 0.1556435022 8.443565e-01
## 268 High 0.0041259382 9.958741e-01
## 269 Low 0.1455014205 8.544986e-01
## 270 Low 0.8193065276 1.806935e-01
## 271 Low 0.1894942278 8.105058e-01
## 272 Low 0.6812582118 3.187418e-01
## 273 Low 0.9760506062 2.394939e-02
## 274 Low 0.5606332084 4.393668e-01
## 275 Low 0.2634212741 7.365787e-01
## 276 Low 0.9661276096 3.387239e-02
## 277 Low 0.9173573191 8.264268e-02
## 278 Low 0.1691964809 8.308035e-01
## 279 Low 0.9620030679 3.799693e-02
## 280 Low 0.3233319475 6.766681e-01
## 281 Low 0.0064495468 9.935505e-01
## 282 Low 0.9929135607 7.086439e-03
## 283 Low 0.8862071821 1.137928e-01
## 284 Low 0.7476439656 2.523560e-01
## 285 Low 0.0496836908 9.503163e-01
## 286 Low 0.9969648465 3.035153e-03
## 287 Low 0.0985066882 9.014933e-01
## 288 Low 0.9891470074 1.085299e-02
## 289 Low 0.8991985373 1.008015e-01
## 290 Low 0.9142758333 8.572417e-02
## 291 Low 0.9980491267 1.950873e-03
## 292 Low 0.9279022519 7.209775e-02
## 293 Low 0.2618544740 7.381455e-01
## 294 Low 0.9967399616 3.260038e-03
## 295 Low 0.9975933704 2.406630e-03
## 296 Low 0.8878077878 1.121922e-01
## 297 Low 0.9916684411 8.331559e-03
## 298 Low 0.9940168300 5.983170e-03
## 299 Low 0.8658837237 1.341163e-01
## 300 Low 0.9169678611 8.303214e-02
## 301 Low 0.9927222315 7.277768e-03
## 302 Low 0.9913736647 8.626335e-03
## 303 Low 0.9994443946 5.556054e-04
## 304 Low 0.9664330235 3.356698e-02
## 305 Low 0.9688445020 3.115550e-02
## 306 Low 0.9999072373 9.276269e-05
## 307 Low 0.9998272440 1.727560e-04
## 308 Low 0.9998760262 1.239738e-04
## 309 Low 0.9928194694 7.180531e-03
## 310 Low 0.9923710166 7.628983e-03
## 311 Low 0.9997797378 2.202622e-04
## 312 Low 0.9999309292 6.907076e-05
## 313 High 0.0487302695 9.512697e-01
## 314 High 0.8691458723 1.308541e-01
## 315 Low 0.9791566576 2.084334e-02
## 316 High 0.5663955060 4.336045e-01##################################
# Reporting the independent evaluation results
# for the test set
##################################
NSC_Test_ROC <- roc(response = NSC_Test$NSC_Observed,
predictor = NSC_Test$NSC_Predicted.High,
levels = rev(levels(NSC_Test$NSC_Observed)))
(NSC_Test_ROCCurveAUC <- auc(NSC_Test_ROC)[1])## [1] 0.88770771.5.7 Averaged Neural Network (AVNN)
Averaged Neural Networks implement fitting of the same neural network model using different random number seeds. All the resulting models are used for prediction by averaging the model scores and translating to predicted classes. Neural networks are comprised of node layers, containing an input layer, one or more hidden layers, and an output layer. Each node, or artificial neuron, connects to another and has an associated weight and threshold. If the output of any individual node is above the specified threshold value, that node is activated, sending data to the next layer of the network. Otherwise, no data is passed along to the next layer of the network.
[A] The averaged neural network model from the nnet package was implemented through the caret package.
[B] The model contains 3 hyperparameters:
[B.1] size = number of hidden units made to vary across a range of values equal to 1 to 13
[B.2] decay = weight decay made to vary across a range of values equal to 0.00 to 0.10
[B.3] bag = bagging held constant at a value of FALSE
[C] The cross-validated model performance of the final model is summarized as follows:
[C.1] Final model configuration involves size=13, decay=0 and bag=FALSE
[C.2] AUROC = 0.91577
[D] The model does not allow for ranking of predictors in terms of variable importance.
[E] The independent test model performance of the final model is summarized as follows:
[E.1] AUROC = 0.91891
Code Chunk | Output
##################################
# Transforming factor predictors
# as required by the nature of the model
##################################
# Creating a local object
# for the train and test sets
##################################
PMA_PreModelling_Train_AVNN <- as.data.frame(lapply(PMA_PreModelling_Train[,!names(PMA_PreModelling_Train) %in%
c("Log_Solubility_Class")],
function(x) as.numeric(as.character(x))))
PMA_PreModelling_Train_AVNN$Log_Solubility_Class <- PMA_PreModelling_Train$Log_Solubility_Class
dim(PMA_PreModelling_Train_AVNN)## [1] 951 221PMA_PreModelling_Test_AVNN <- as.data.frame(lapply(PMA_PreModelling_Test[,!names(PMA_PreModelling_Test) %in%
c("Log_Solubility_Class")],
function(x) as.numeric(as.character(x))))
PMA_PreModelling_Test_AVNN$Log_Solubility_Class <- PMA_PreModelling_Test$Log_Solubility_Class
dim(PMA_PreModelling_Test_AVNN)## [1] 316 221##################################
# Creating consistent fold assignments
# for the 10-Fold Cross Validation process
##################################
set.seed(12345678)
KFold_Indices <- createFolds(PMA_PreModelling_Train_AVNN$Log_Solubility_Class,
k = 10,
returnTrain=TRUE)
KFold_Control <- trainControl(method="cv",
index=KFold_Indices,
summaryFunction = twoClassSummary,
classProbs = TRUE)
##################################
# Setting the conditions
# for hyperparameter tuning
##################################
AVNN_Grid = expand.grid(decay = c(0.00, 0.01, 0.10),
size = c(1, 5, 9, 13),
bag = FALSE)
maxSize <- max(AVNN_Grid$size)
##################################
# Running the averaged neural network model
# by setting the caret method to 'avNNet'
##################################
set.seed(12345678)
AVNN_Tune <- train(x = PMA_PreModelling_Train_AVNN[,!names(PMA_PreModelling_Train_AVNN) %in% c("Log_Solubility_Class")],
y = PMA_PreModelling_Train_AVNN$Log_Solubility_Class,
method = "avNNet",
tuneGrid = AVNN_Grid,
metric = "ROC",
preProc = c("center", "scale"),
trControl = KFold_Control,
maxit = 5,
repeats = 10,
allowParallel = FALSE,
MaxNWts = 10*(maxSize * (length(PMA_PreModelling_Train_AVNN) + 1) + maxSize + 1),
trace = FALSE)
##################################
# Reporting the cross-validation results
# for the train set
##################################
AVNN_Tune## Model Averaged Neural Network
##
## 951 samples
## 220 predictors
## 2 classes: 'Low', 'High'
##
## Pre-processing: centered (220), scaled (220)
## Resampling: Cross-Validated (10 fold)
## Summary of sample sizes: 857, 855, 857, 855, 856, 856, ...
## Resampling results across tuning parameters:
##
## decay size ROC Sens Spec
## 0.00 1 0.8825921 0.7633444 0.8016691
## 0.00 5 0.9031602 0.8055371 0.8283019
## 0.00 9 0.9038488 0.8431340 0.8189405
## 0.00 13 0.9157703 0.8431340 0.8130987
## 0.01 1 0.8954928 0.7797342 0.8264514
## 0.01 5 0.9082890 0.8125692 0.8398766
## 0.01 9 0.9109317 0.8101883 0.8304790
## 0.01 13 0.9143824 0.8314507 0.8208999
## 0.10 1 0.8898842 0.7727575 0.8169811
## 0.10 5 0.9112202 0.8055925 0.8302975
## 0.10 9 0.9151277 0.8335548 0.8169448
## 0.10 13 0.9100212 0.8361573 0.8132075
##
## Tuning parameter 'bag' was held constant at a value of FALSE
## ROC was used to select the optimal model using the largest value.
## The final values used for the model were size = 13, decay = 0 and bag = FALSE.AVNN_Tune$finalModel## Model Averaged Neural Network with 10 Repeats
##
## a 220-13-2 network with 2901 weights
## options were -AVNN_Tune$results## decay size bag ROC Sens Spec ROCSD SensSD
## 1 0.00 1 FALSE 0.8825921 0.7633444 0.8016691 0.04823911 0.08305738
## 5 0.01 1 FALSE 0.8954928 0.7797342 0.8264514 0.03014815 0.05618559
## 9 0.10 1 FALSE 0.8898842 0.7727575 0.8169811 0.03692104 0.06246770
## 2 0.00 5 FALSE 0.9031602 0.8055371 0.8283019 0.03633354 0.06987663
## 6 0.01 5 FALSE 0.9082890 0.8125692 0.8398766 0.03021656 0.05753685
## 10 0.10 5 FALSE 0.9112202 0.8055925 0.8302975 0.02411834 0.06593744
## 3 0.00 9 FALSE 0.9038488 0.8431340 0.8189405 0.03203737 0.02884734
## 7 0.01 9 FALSE 0.9109317 0.8101883 0.8304790 0.02572001 0.06094991
## 11 0.10 9 FALSE 0.9151277 0.8335548 0.8169448 0.02549665 0.04102289
## 4 0.00 13 FALSE 0.9157703 0.8431340 0.8130987 0.02920262 0.04522834
## 8 0.01 13 FALSE 0.9143824 0.8314507 0.8208999 0.02699052 0.05335330
## 12 0.10 13 FALSE 0.9100212 0.8361573 0.8132075 0.02657216 0.06021816
## SpecSD
## 1 0.05745084
## 5 0.04742283
## 9 0.06285986
## 2 0.04474555
## 6 0.06106486
## 10 0.05037463
## 3 0.06463390
## 7 0.05517753
## 11 0.06163075
## 4 0.05019146
## 8 0.05725751
## 12 0.05339363(AVNN_Train_ROCCurveAUC <- AVNN_Tune$results[AVNN_Tune$results$decay==AVNN_Tune$bestTune$decay &
AVNN_Tune$results$size==AVNN_Tune$bestTune$size,
c("ROC")])## [1] 0.9157703##################################
# Identifying and plotting the
# best model predictors
##################################
# model does not support variable importance measurement
##################################
# Independently evaluating the model
# on the test set
##################################
AVNN_Test <- data.frame(AVNN_Observed = PMA_PreModelling_Test_AVNN$Log_Solubility_Class,
AVNN_Predicted = predict(AVNN_Tune,
PMA_PreModelling_Test_AVNN[,!names(PMA_PreModelling_Test_AVNN) %in% c("Log_Solubility_Class")],
type = "prob"))
AVNN_Test## AVNN_Observed AVNN_Predicted.Low AVNN_Predicted.High
## 1 High 0.009075436 0.990924564
## 2 High 0.002944622 0.997055378
## 3 High 0.120949889 0.879050111
## 4 High 0.004360401 0.995639599
## 5 High 0.002530240 0.997469760
## 6 High 0.007328969 0.992671031
## 7 High 0.006755470 0.993244530
## 8 High 0.013689319 0.986310681
## 9 High 0.006965524 0.993034476
## 10 High 0.174618767 0.825381233
## 11 High 0.097733727 0.902266273
## 12 High 0.059870171 0.940129829
## 13 High 0.003443345 0.996556655
## 14 High 0.004401860 0.995598140
## 15 High 0.004528048 0.995471952
## 16 High 0.106837453 0.893162547
## 17 High 0.009407477 0.990592523
## 18 High 0.006085903 0.993914097
## 19 High 0.011945235 0.988054765
## 20 High 0.148692361 0.851307639
## 21 High 0.004952876 0.995047124
## 22 High 0.007359064 0.992640936
## 23 High 0.005392134 0.994607866
## 24 High 0.006147565 0.993852435
## 25 High 0.004287563 0.995712437
## 26 High 0.103695157 0.896304843
## 27 High 0.014464923 0.985535077
## 28 High 0.003150246 0.996849754
## 29 High 0.336209602 0.663790398
## 30 High 0.103845044 0.896154956
## 31 High 0.766407311 0.233592689
## 32 High 0.007338751 0.992661249
## 33 High 0.009850246 0.990149754
## 34 High 0.006757652 0.993242348
## 35 High 0.006119217 0.993880783
## 36 High 0.003803251 0.996196749
## 37 High 0.001946729 0.998053271
## 38 High 0.008730696 0.991269304
## 39 High 0.003916729 0.996083271
## 40 High 0.138297066 0.861702934
## 41 High 0.007588491 0.992411509
## 42 High 0.537740645 0.462259355
## 43 High 0.005859229 0.994140771
## 44 High 0.003143247 0.996856753
## 45 High 0.022090133 0.977909867
## 46 High 0.007417016 0.992582984
## 47 High 0.143086112 0.856913888
## 48 High 0.007486543 0.992513457
## 49 High 0.004759311 0.995240689
## 50 High 0.005310054 0.994689946
## 51 High 0.003430125 0.996569875
## 52 High 0.097227199 0.902772801
## 53 High 0.175058016 0.824941984
## 54 High 0.002699461 0.997300539
## 55 High 0.005105070 0.994894930
## 56 High 0.096284498 0.903715502
## 57 High 0.007098666 0.992901334
## 58 High 0.017945253 0.982054747
## 59 High 0.004957684 0.995042316
## 60 High 0.264928660 0.735071340
## 61 High 0.004058279 0.995941721
## 62 High 0.007466087 0.992533913
## 63 High 0.266659463 0.733340537
## 64 High 0.079682139 0.920317861
## 65 High 0.186007170 0.813992830
## 66 High 0.813179759 0.186820241
## 67 High 0.141694451 0.858305549
## 68 High 0.698236559 0.301763441
## 69 High 0.113000750 0.886999250
## 70 High 0.417179252 0.582820748
## 71 High 0.337626196 0.662373804
## 72 High 0.568569667 0.431430333
## 73 High 0.170029205 0.829970795
## 74 High 0.686700275 0.313299725
## 75 High 0.013092929 0.986907071
## 76 High 0.106731512 0.893268488
## 77 High 0.093654862 0.906345138
## 78 High 0.344117963 0.655882037
## 79 High 0.002205824 0.997794176
## 80 High 0.029881152 0.970118848
## 81 High 0.098471764 0.901528236
## 82 High 0.394384227 0.605615773
## 83 High 0.141720266 0.858279734
## 84 High 0.223804977 0.776195023
## 85 High 0.249279133 0.750720867
## 86 High 0.010527973 0.989472027
## 87 High 0.810175908 0.189824092
## 88 High 0.552555425 0.447444575
## 89 High 0.107618410 0.892381590
## 90 High 0.598790410 0.401209590
## 91 High 0.200249679 0.799750321
## 92 High 0.282986054 0.717013946
## 93 High 0.822438938 0.177561062
## 94 High 0.010938512 0.989061488
## 95 High 0.002820357 0.997179643
## 96 High 0.007690156 0.992309844
## 97 High 0.208094813 0.791905187
## 98 High 0.719580524 0.280419476
## 99 High 0.012585343 0.987414657
## 100 High 0.008075974 0.991924026
## 101 High 0.103288044 0.896711956
## 102 High 0.020032298 0.979967702
## 103 High 0.632304782 0.367695218
## 104 High 0.004501042 0.995498958
## 105 High 0.313829024 0.686170976
## 106 High 0.296321202 0.703678798
## 107 High 0.822085490 0.177914510
## 108 High 0.549958394 0.450041606
## 109 High 0.336331608 0.663668392
## 110 High 0.523107591 0.476892409
## 111 High 0.381149366 0.618850634
## 112 High 0.479999448 0.520000552
## 113 High 0.189134163 0.810865837
## 114 High 0.483475421 0.516524579
## 115 High 0.950883244 0.049116756
## 116 High 0.954042752 0.045957248
## 117 High 0.866967004 0.133032996
## 118 High 0.035026921 0.964973079
## 119 Low 0.569080628 0.430919372
## 120 Low 0.991079622 0.008920378
## 121 Low 0.801670314 0.198329686
## 122 Low 0.005837367 0.994162633
## 123 Low 0.297516821 0.702483179
## 124 Low 0.359954354 0.640045646
## 125 Low 0.865007196 0.134992804
## 126 Low 0.552498446 0.447501554
## 127 Low 0.630630401 0.369369599
## 128 Low 0.710578213 0.289421787
## 129 Low 0.664424133 0.335575867
## 130 Low 0.895714354 0.104285646
## 131 Low 0.705155838 0.294844162
## 132 Low 0.615764404 0.384235596
## 133 Low 0.398149695 0.601850305
## 134 Low 0.326874324 0.673125676
## 135 Low 0.096484781 0.903515219
## 136 Low 0.650125491 0.349874509
## 137 Low 0.415013242 0.584986758
## 138 Low 0.256066779 0.743933221
## 139 Low 0.373451165 0.626548835
## 140 Low 0.588616318 0.411383682
## 141 Low 0.367825448 0.632174552
## 142 Low 0.816695293 0.183304707
## 143 Low 0.900477008 0.099522992
## 144 Low 0.615471125 0.384528875
## 145 Low 0.310983064 0.689016936
## 146 Low 0.471079329 0.528920671
## 147 Low 0.683190008 0.316809992
## 148 Low 0.398246317 0.601753683
## 149 Low 0.561994019 0.438005981
## 150 Low 0.867969902 0.132030098
## 151 Low 0.139592417 0.860407583
## 152 Low 0.897505020 0.102494980
## 153 Low 0.222542930 0.777457070
## 154 Low 0.652124075 0.347875925
## 155 Low 0.763285255 0.236714745
## 156 Low 0.852191101 0.147808899
## 157 Low 0.979114971 0.020885029
## 158 Low 0.980680743 0.019319257
## 159 Low 0.682693263 0.317306737
## 160 Low 0.934434448 0.065565552
## 161 Low 0.988813155 0.011186845
## 162 Low 0.985170236 0.014829764
## 163 Low 0.561722689 0.438277311
## 164 Low 0.529687344 0.470312656
## 165 Low 0.880466244 0.119533756
## 166 Low 0.557602714 0.442397286
## 167 Low 0.990018944 0.009981056
## 168 Low 0.255264410 0.744735590
## 169 Low 0.755008957 0.244991043
## 170 Low 0.887894984 0.112105016
## 171 Low 0.674465565 0.325534435
## 172 Low 0.744033065 0.255966935
## 173 Low 0.897913791 0.102086209
## 174 Low 0.717913850 0.282086150
## 175 Low 0.996303935 0.003696065
## 176 Low 0.887444283 0.112555717
## 177 Low 0.939322895 0.060677105
## 178 Low 0.989788417 0.010211583
## 179 Low 0.897013874 0.102986126
## 180 Low 0.384885532 0.615114468
## 181 Low 0.731574430 0.268425570
## 182 Low 0.778395662 0.221604338
## 183 Low 0.894815890 0.105184110
## 184 Low 0.701334314 0.298665686
## 185 Low 0.899067018 0.100932982
## 186 Low 0.989790504 0.010209496
## 187 Low 0.824883585 0.175116415
## 188 Low 0.986866571 0.013133429
## 189 Low 0.994913828 0.005086172
## 190 Low 0.993800770 0.006199230
## 191 Low 0.987219387 0.012780613
## 192 Low 0.507825554 0.492174446
## 193 Low 0.899939225 0.100060775
## 194 Low 0.899326361 0.100673639
## 195 Low 0.874349477 0.125650523
## 196 Low 0.973386424 0.026613576
## 197 Low 0.911455492 0.088544508
## 198 Low 0.895363619 0.104636381
## 199 Low 0.990973339 0.009026661
## 200 Low 0.985734911 0.014265089
## 201 Low 0.995881769 0.004118231
## 202 Low 0.995914764 0.004085236
## 203 Low 0.995940958 0.004059042
## 204 Low 0.993390192 0.006609808
## 205 Low 0.983421801 0.016578199
## 206 Low 0.994878465 0.005121535
## 207 Low 0.985656058 0.014343942
## 208 Low 0.994716193 0.005283807
## 209 Low 0.994681182 0.005318818
## 210 Low 0.995647095 0.004352905
## 211 Low 0.995819938 0.004180062
## 212 Low 0.995290402 0.004709598
## 213 Low 0.995391222 0.004608778
## 214 Low 0.995480922 0.004519078
## 215 Low 0.995537067 0.004462933
## 216 Low 0.995869516 0.004130484
## 217 High 0.006026996 0.993973004
## 218 High 0.004411564 0.995588436
## 219 High 0.002139601 0.997860399
## 220 High 0.058151022 0.941848978
## 221 High 0.006360488 0.993639512
## 222 High 0.005465205 0.994534795
## 223 High 0.007255526 0.992744474
## 224 High 0.250087404 0.749912596
## 225 High 0.309226197 0.690773803
## 226 High 0.204247726 0.795752274
## 227 High 0.159565110 0.840434890
## 228 High 0.004113367 0.995886633
## 229 High 0.003679028 0.996320972
## 230 High 0.790100572 0.209899428
## 231 High 0.407797303 0.592202697
## 232 High 0.038174772 0.961825228
## 233 High 0.002674115 0.997325885
## 234 High 0.005153756 0.994846244
## 235 High 0.095573250 0.904426750
## 236 High 0.198286647 0.801713353
## 237 High 0.329173015 0.670826985
## 238 High 0.121933600 0.878066400
## 239 High 0.175058016 0.824941984
## 240 High 0.002645853 0.997354147
## 241 High 0.007852475 0.992147525
## 242 High 0.044277316 0.955722684
## 243 High 0.006166807 0.993833193
## 244 High 0.341122006 0.658877994
## 245 High 0.673324477 0.326675523
## 246 High 0.004352136 0.995647864
## 247 High 0.004933736 0.995066264
## 248 High 0.006821772 0.993178228
## 249 High 0.005675419 0.994324581
## 250 High 0.485817279 0.514182721
## 251 High 0.012741559 0.987258441
## 252 High 0.006290356 0.993709644
## 253 High 0.008985404 0.991014596
## 254 High 0.911929061 0.088070939
## 255 High 0.026033341 0.973966659
## 256 High 0.280310993 0.719689007
## 257 High 0.004463459 0.995536541
## 258 High 0.232723781 0.767276219
## 259 High 0.874515083 0.125484917
## 260 High 0.050109251 0.949890749
## 261 High 0.529592219 0.470407781
## 262 High 0.487200246 0.512799754
## 263 High 0.103041452 0.896958548
## 264 High 0.336990809 0.663009191
## 265 High 0.890062718 0.109937282
## 266 High 0.279658013 0.720341987
## 267 High 0.223686714 0.776313286
## 268 High 0.006605181 0.993394819
## 269 Low 0.246234335 0.753765665
## 270 Low 0.347222737 0.652777263
## 271 Low 0.228226898 0.771773102
## 272 Low 0.449215912 0.550784088
## 273 Low 0.989648820 0.010351180
## 274 Low 0.465773474 0.534226526
## 275 Low 0.068267004 0.931732996
## 276 Low 0.881949821 0.118050179
## 277 Low 0.882361787 0.117638213
## 278 Low 0.074214663 0.925785337
## 279 Low 0.804232169 0.195767831
## 280 Low 0.518691729 0.481308271
## 281 Low 0.063739985 0.936260015
## 282 Low 0.823653944 0.176346056
## 283 Low 0.815584437 0.184415563
## 284 Low 0.795450584 0.204549416
## 285 Low 0.718046669 0.281953331
## 286 Low 0.892604378 0.107395622
## 287 Low 0.682328014 0.317671986
## 288 Low 0.831105136 0.168894864
## 289 Low 0.885485881 0.114514119
## 290 Low 0.990790735 0.009209265
## 291 Low 0.894011737 0.105988263
## 292 Low 0.892802085 0.107197915
## 293 Low 0.674065334 0.325934666
## 294 Low 0.982227171 0.017772829
## 295 Low 0.902003530 0.097996470
## 296 Low 0.708922980 0.291077020
## 297 Low 0.985059570 0.014940430
## 298 Low 0.903843459 0.096156541
## 299 Low 0.971104017 0.028895983
## 300 Low 0.974406933 0.025593067
## 301 Low 0.985666050 0.014333950
## 302 Low 0.994123530 0.005876470
## 303 Low 0.991671889 0.008328111
## 304 Low 0.986853368 0.013146632
## 305 Low 0.887901979 0.112098021
## 306 Low 0.995871839 0.004128161
## 307 Low 0.995850649 0.004149351
## 308 Low 0.995524417 0.004475583
## 309 Low 0.993028443 0.006971557
## 310 Low 0.995483995 0.004516005
## 311 Low 0.992808106 0.007191894
## 312 Low 0.995883893 0.004116107
## 313 High 0.008963637 0.991036363
## 314 High 0.589683065 0.410316935
## 315 Low 0.815388827 0.184611173
## 316 High 0.879467490 0.120532510##################################
# Reporting the independent evaluation results
# for the test set
##################################
AVNN_Test_ROC <- roc(response = AVNN_Test$AVNN_Observed,
predictor = AVNN_Test$AVNN_Predicted.High,
levels = rev(levels(AVNN_Test$AVNN_Observed)))
(AVNN_Test_ROCCurveAUC <- auc(AVNN_Test_ROC)[1])## [1] 0.91891351.5.8 Support Vector Machine - Radial Basis Function Kernel (SVM_R)
Support Vector Machine plots each observation in an N-dimensional space corresponding to the number of features in the data set and finds a hyperplane that maximally separates the different classes by a maximally large margin (which is defined as the distance between the hyperplane and the closest data points from each class). The algorithm applies kernel transformation by mapping non-linearly separable data using the similarities between the points in a high-dimensional feature space for improved discrimination.
[A] The support vector machine (radial basis function kernel) model from the kernlab package was implemented through the caret package.
[B] The model contains 2 hyperparameters:
[B.1] sigma = sigma held constant at a value of 0.00285
[B.2] C = cost made to vary across a range of 14 default values
[C] The cross-validated model performance of the final model is summarized as follows:
[C.1] Final model configuration involves sigma=0.00285 and C=2048
[C.2] AUROC = 0.95514
[D] The model does not allow for ranking of predictors in terms of variable importance.
[E] The independent test model performance of the final model is summarized as follows:
[E.1] AUROC = 0.95016
Code Chunk | Output
##################################
# Transforming factor predictors
# as required by the nature of the model
##################################
# Creating a local object
# for the train and test sets
##################################
PMA_PreModelling_Train_SVM_R <- as.data.frame(lapply(PMA_PreModelling_Train[,!names(PMA_PreModelling_Train) %in%
c("Log_Solubility_Class")],
function(x) as.numeric(as.character(x))))
PMA_PreModelling_Train_SVM_R$Log_Solubility_Class <- PMA_PreModelling_Train$Log_Solubility_Class
dim(PMA_PreModelling_Train_SVM_R)## [1] 951 221PMA_PreModelling_Test_SVM_R <- as.data.frame(lapply(PMA_PreModelling_Test[,!names(PMA_PreModelling_Test) %in%
c("Log_Solubility_Class")],
function(x) as.numeric(as.character(x))))
PMA_PreModelling_Test_SVM_R$Log_Solubility_Class <- PMA_PreModelling_Test$Log_Solubility_Class
dim(PMA_PreModelling_Test_SVM_R)## [1] 316 221##################################
# Creating consistent fold assignments
# for the 10-Fold Cross Validation process
##################################
set.seed(12345678)
KFold_Indices <- createFolds(PMA_PreModelling_Train_SVM_R$Log_Solubility_Class,
k = 10,
returnTrain=TRUE)
KFold_Control <- trainControl(method="cv",
index=KFold_Indices,
summaryFunction = twoClassSummary,
classProbs = TRUE)
##################################
# Setting the conditions
# for hyperparameter tuning
##################################
# used a range of default values
##################################
# Running the support vector machine (radial basis function kernel) model
# by setting the caret method to 'svmRadial'
##################################
set.seed(12345678)
SVM_R_Tune <- train(x = PMA_PreModelling_Train_SVM_R[,!names(PMA_PreModelling_Train_SVM_R) %in% c("Log_Solubility_Class")],
y = PMA_PreModelling_Train_SVM_R$Log_Solubility_Class,
method = "svmRadial",
tuneLength = 14,
metric = "ROC",
preProc = c("center", "scale"),
trControl = KFold_Control)
##################################
# Reporting the cross-validation results
# for the train set
##################################
SVM_R_Tune## Support Vector Machines with Radial Basis Function Kernel
##
## 951 samples
## 220 predictors
## 2 classes: 'Low', 'High'
##
## Pre-processing: centered (220), scaled (220)
## Resampling: Cross-Validated (10 fold)
## Summary of sample sizes: 857, 855, 857, 855, 856, 856, ...
## Resampling results across tuning parameters:
##
## C ROC Sens Spec
## 0.25 0.9225768 0.8265227 0.8264151
## 0.50 0.9342063 0.8358250 0.8570029
## 1.00 0.9407996 0.8592470 0.8628084
## 2.00 0.9399949 0.8522148 0.8609216
## 4.00 0.9415450 0.8498893 0.8627358
## 8.00 0.9432946 0.8501107 0.8760522
## 16.00 0.9463556 0.8477298 0.8798621
## 32.00 0.9497924 0.8640642 0.8893324
## 64.00 0.9530000 0.8664452 0.8835631
## 128.00 0.9549537 0.8663344 0.8778665
## 256.00 0.9550376 0.8733666 0.8836720
## 512.00 0.9548026 0.8756921 0.8798258
## 1024.00 0.9550544 0.8638981 0.8874819
## 2048.00 0.9551422 0.8734219 0.8779028
##
## Tuning parameter 'sigma' was held constant at a value of 0.002858301
## ROC was used to select the optimal model using the largest value.
## The final values used for the model were sigma = 0.002858301 and C = 2048.SVM_R_Tune$finalModel## Support Vector Machine object of class "ksvm"
##
## SV type: C-svc (classification)
## parameter : cost C = 2048
##
## Gaussian Radial Basis kernel function.
## Hyperparameter : sigma = 0.00285830098890164
##
## Number of Support Vectors : 291
##
## Objective Function Value : -3693.276
## Training error : 0
## Probability model included.SVM_R_Tune$results## sigma C ROC Sens Spec ROCSD SensSD
## 1 0.002858301 0.25 0.9225768 0.8265227 0.8264151 0.02509293 0.06472858
## 2 0.002858301 0.50 0.9342063 0.8358250 0.8570029 0.02213186 0.07345896
## 3 0.002858301 1.00 0.9407996 0.8592470 0.8628084 0.02005568 0.06645585
## 4 0.002858301 2.00 0.9399949 0.8522148 0.8609216 0.01956500 0.07184322
## 5 0.002858301 4.00 0.9415450 0.8498893 0.8627358 0.01971806 0.07861746
## 6 0.002858301 8.00 0.9432946 0.8501107 0.8760522 0.01940473 0.08869159
## 7 0.002858301 16.00 0.9463556 0.8477298 0.8798621 0.01801010 0.06878890
## 8 0.002858301 32.00 0.9497924 0.8640642 0.8893324 0.01615007 0.06305448
## 9 0.002858301 64.00 0.9530000 0.8664452 0.8835631 0.01542028 0.06220900
## 10 0.002858301 128.00 0.9549537 0.8663344 0.8778665 0.01562122 0.06722412
## 11 0.002858301 256.00 0.9550376 0.8733666 0.8836720 0.01940156 0.05888913
## 12 0.002858301 512.00 0.9548026 0.8756921 0.8798258 0.02017246 0.05878213
## 13 0.002858301 1024.00 0.9550544 0.8638981 0.8874819 0.02025362 0.05562805
## 14 0.002858301 2048.00 0.9551422 0.8734219 0.8779028 0.02019085 0.05097821
## SpecSD
## 1 0.05221581
## 2 0.04712527
## 3 0.05009315
## 4 0.06492702
## 5 0.06183544
## 6 0.06440586
## 7 0.06613147
## 8 0.05976556
## 9 0.07032273
## 10 0.06892971
## 11 0.05927357
## 12 0.06044189
## 13 0.06266413
## 14 0.05850801(SVM_R_Train_ROCCurveAUC <- SVM_R_Tune$results[SVM_R_Tune$results$C==SVM_R_Tune$bestTune$C,
c("ROC")])## [1] 0.9551422##################################
# Identifying and plotting the
# best model predictors
##################################
# model does not support variable importance measurement
##################################
# Independently evaluating the model
# on the test set
##################################
SVM_R_Test <- data.frame(SVM_R_Observed = PMA_PreModelling_Test_SVM_R$Log_Solubility_Class,
SVM_R_Predicted = predict(SVM_R_Tune,
PMA_PreModelling_Test_SVM_R[,!names(PMA_PreModelling_Test_SVM_R) %in% c("Log_Solubility_Class")],
type = "prob"))
SVM_R_Test## SVM_R_Observed SVM_R_Predicted.Low SVM_R_Predicted.High
## 1 High 1.790338e-06 9.999982e-01
## 2 High 1.401401e-06 9.999986e-01
## 3 High 3.070497e-02 9.692950e-01
## 4 High 5.885393e-04 9.994115e-01
## 5 High 1.412513e-03 9.985875e-01
## 6 High 7.891937e-06 9.999921e-01
## 7 High 5.940047e-06 9.999941e-01
## 8 High 1.389587e-05 9.999861e-01
## 9 High 8.417733e-07 9.999992e-01
## 10 High 1.493140e-01 8.506860e-01
## 11 High 1.474211e-01 8.525789e-01
## 12 High 3.703014e-02 9.629699e-01
## 13 High 2.573903e-05 9.999743e-01
## 14 High 7.036197e-04 9.992964e-01
## 15 High 1.214928e-02 9.878507e-01
## 16 High 1.662077e-02 9.833792e-01
## 17 High 9.884031e-04 9.990116e-01
## 18 High 1.720732e-05 9.999828e-01
## 19 High 2.102219e-02 9.789778e-01
## 20 High 7.487314e-02 9.251269e-01
## 21 High 1.165631e-03 9.988344e-01
## 22 High 3.126503e-04 9.996873e-01
## 23 High 7.320716e-03 9.926793e-01
## 24 High 2.565070e-03 9.974349e-01
## 25 High 1.035838e-02 9.896416e-01
## 26 High 3.155826e-03 9.968442e-01
## 27 High 3.672396e-04 9.996328e-01
## 28 High 1.509500e-03 9.984905e-01
## 29 High 5.837291e-01 4.162709e-01
## 30 High 3.113714e-03 9.968863e-01
## 31 High 6.568343e-01 3.431657e-01
## 32 High 5.136522e-05 9.999486e-01
## 33 High 5.469666e-05 9.999453e-01
## 34 High 2.372483e-03 9.976275e-01
## 35 High 3.047678e-03 9.969523e-01
## 36 High 3.782893e-03 9.962171e-01
## 37 High 3.858738e-04 9.996141e-01
## 38 High 6.375107e-04 9.993625e-01
## 39 High 5.176126e-03 9.948239e-01
## 40 High 2.224643e-03 9.977754e-01
## 41 High 3.428776e-05 9.999657e-01
## 42 High 1.469633e-01 8.530367e-01
## 43 High 2.045998e-02 9.795400e-01
## 44 High 3.285844e-05 9.999671e-01
## 45 High 7.503964e-03 9.924960e-01
## 46 High 1.445430e-02 9.855457e-01
## 47 High 1.312678e-03 9.986873e-01
## 48 High 3.354200e-03 9.966458e-01
## 49 High 2.012428e-03 9.979876e-01
## 50 High 7.207037e-03 9.927930e-01
## 51 High 5.629299e-03 9.943707e-01
## 52 High 1.186335e-03 9.988137e-01
## 53 High 1.354083e-01 8.645917e-01
## 54 High 6.490681e-02 9.350932e-01
## 55 High 4.110389e-01 5.889611e-01
## 56 High 2.482932e-02 9.751707e-01
## 57 High 2.696183e-02 9.730382e-01
## 58 High 2.262801e-02 9.773720e-01
## 59 High 1.180406e-01 8.819594e-01
## 60 High 5.495807e-01 4.504193e-01
## 61 High 6.181213e-03 9.938188e-01
## 62 High 2.226954e-03 9.977730e-01
## 63 High 6.181144e-03 9.938189e-01
## 64 High 4.282592e-02 9.571741e-01
## 65 High 1.423609e-01 8.576391e-01
## 66 High 2.901213e-01 7.098787e-01
## 67 High 7.845569e-01 2.154431e-01
## 68 High 5.002754e-01 4.997246e-01
## 69 High 1.712645e-02 9.828735e-01
## 70 High 2.734998e-01 7.265002e-01
## 71 High 2.667845e-02 9.733216e-01
## 72 High 4.552093e-01 5.447907e-01
## 73 High 7.370644e-03 9.926294e-01
## 74 High 8.248607e-01 1.751393e-01
## 75 High 1.765986e-01 8.234014e-01
## 76 High 5.809335e-01 4.190665e-01
## 77 High 3.420526e-01 6.579474e-01
## 78 High 5.830957e-03 9.941690e-01
## 79 High 2.454420e-01 7.545580e-01
## 80 High 1.046818e-01 8.953182e-01
## 81 High 4.644391e-02 9.535561e-01
## 82 High 3.394237e-03 9.966058e-01
## 83 High 9.520226e-01 4.797735e-02
## 84 High 1.310691e-02 9.868931e-01
## 85 High 1.972371e-01 8.027629e-01
## 86 High 1.007943e-02 9.899206e-01
## 87 High 2.598815e-01 7.401185e-01
## 88 High 1.396991e-01 8.603009e-01
## 89 High 2.153017e-01 7.846983e-01
## 90 High 1.127097e-02 9.887290e-01
## 91 High 1.288567e-01 8.711433e-01
## 92 High 2.259480e-01 7.740520e-01
## 93 High 4.598056e-01 5.401944e-01
## 94 High 1.542168e-02 9.845783e-01
## 95 High 1.119608e-01 8.880392e-01
## 96 High 1.133068e-01 8.866932e-01
## 97 High 1.755088e-01 8.244912e-01
## 98 High 5.079078e-01 4.920922e-01
## 99 High 6.382407e-02 9.361759e-01
## 100 High 2.044559e-01 7.955441e-01
## 101 High 1.534375e-01 8.465625e-01
## 102 High 1.909820e-01 8.090180e-01
## 103 High 2.408233e-01 7.591767e-01
## 104 High 1.919181e-01 8.080819e-01
## 105 High 9.432536e-01 5.674637e-02
## 106 High 1.519275e-01 8.480725e-01
## 107 High 6.249051e-02 9.375095e-01
## 108 High 3.791111e-01 6.208889e-01
## 109 High 5.759467e-01 4.240533e-01
## 110 High 5.195252e-01 4.804748e-01
## 111 High 4.072976e-01 5.927024e-01
## 112 High 7.846000e-01 2.154000e-01
## 113 High 5.505469e-01 4.494531e-01
## 114 High 2.022685e-01 7.977315e-01
## 115 High 4.404657e-01 5.595343e-01
## 116 High 8.323968e-01 1.676032e-01
## 117 High 9.436804e-01 5.631956e-02
## 118 High 9.973358e-01 2.664155e-03
## 119 Low 9.801695e-02 9.019830e-01
## 120 Low 3.512521e-01 6.487479e-01
## 121 Low 5.310659e-01 4.689341e-01
## 122 Low 3.819842e-03 9.961802e-01
## 123 Low 9.311898e-01 6.881022e-02
## 124 Low 7.557384e-01 2.442616e-01
## 125 Low 6.633683e-01 3.366317e-01
## 126 Low 1.575591e-01 8.424409e-01
## 127 Low 9.854473e-01 1.455266e-02
## 128 Low 6.756350e-01 3.243650e-01
## 129 Low 9.531411e-01 4.685893e-02
## 130 Low 6.118112e-01 3.881888e-01
## 131 Low 9.203029e-01 7.969712e-02
## 132 Low 8.390386e-01 1.609614e-01
## 133 Low 8.698578e-01 1.301422e-01
## 134 Low 7.382761e-01 2.617239e-01
## 135 Low 8.854991e-01 1.145009e-01
## 136 Low 8.404714e-01 1.595286e-01
## 137 Low 7.676196e-01 2.323804e-01
## 138 Low 5.749218e-01 4.250782e-01
## 139 Low 1.522933e-01 8.477067e-01
## 140 Low 1.652831e-01 8.347169e-01
## 141 Low 5.707049e-01 4.292951e-01
## 142 Low 3.400469e-01 6.599531e-01
## 143 Low 8.855962e-01 1.144038e-01
## 144 Low 6.236945e-01 3.763055e-01
## 145 Low 2.676640e-01 7.323360e-01
## 146 Low 9.112520e-01 8.874796e-02
## 147 Low 7.554873e-01 2.445127e-01
## 148 Low 9.167921e-01 8.320788e-02
## 149 Low 9.943827e-01 5.617252e-03
## 150 Low 9.888923e-01 1.110774e-02
## 151 Low 3.954368e-01 6.045632e-01
## 152 Low 8.746760e-01 1.253240e-01
## 153 Low 5.649685e-01 4.350315e-01
## 154 Low 9.662381e-01 3.376195e-02
## 155 Low 7.507664e-01 2.492336e-01
## 156 Low 9.053074e-01 9.469264e-02
## 157 Low 9.348579e-01 6.514214e-02
## 158 Low 7.233638e-01 2.766362e-01
## 159 Low 9.850379e-01 1.496211e-02
## 160 Low 9.702947e-01 2.970530e-02
## 161 Low 9.598928e-01 4.010719e-02
## 162 Low 8.286756e-01 1.713244e-01
## 163 Low 9.277405e-01 7.225949e-02
## 164 Low 9.710798e-01 2.892019e-02
## 165 Low 9.816962e-01 1.830375e-02
## 166 Low 9.136960e-01 8.630396e-02
## 167 Low 9.604719e-01 3.952811e-02
## 168 Low 7.856736e-01 2.143264e-01
## 169 Low 9.808724e-01 1.912755e-02
## 170 Low 9.962140e-01 3.786004e-03
## 171 Low 9.668576e-01 3.314242e-02
## 172 Low 8.662033e-01 1.337967e-01
## 173 Low 8.591393e-01 1.408607e-01
## 174 Low 1.000000e+00 1.701748e-08
## 175 Low 9.931667e-01 6.833306e-03
## 176 Low 8.667594e-01 1.332406e-01
## 177 Low 9.970895e-01 2.910479e-03
## 178 Low 9.634015e-01 3.659853e-02
## 179 Low 9.035671e-01 9.643287e-02
## 180 Low 6.663630e-01 3.336370e-01
## 181 Low 9.898620e-01 1.013795e-02
## 182 Low 8.492058e-01 1.507942e-01
## 183 Low 9.992972e-01 7.027734e-04
## 184 Low 9.999938e-01 6.206858e-06
## 185 Low 9.048412e-01 9.515877e-02
## 186 Low 9.353290e-01 6.467101e-02
## 187 Low 9.898104e-01 1.018960e-02
## 188 Low 9.499785e-01 5.002154e-02
## 189 Low 9.934254e-01 6.574599e-03
## 190 Low 9.946379e-01 5.362141e-03
## 191 Low 8.283376e-01 1.716624e-01
## 192 Low 9.172226e-01 8.277742e-02
## 193 Low 9.545196e-01 4.548039e-02
## 194 Low 9.365299e-01 6.347006e-02
## 195 Low 9.990063e-01 9.936673e-04
## 196 Low 9.735682e-01 2.643178e-02
## 197 Low 9.944962e-01 5.503830e-03
## 198 Low 9.169390e-01 8.306095e-02
## 199 Low 9.882730e-01 1.172697e-02
## 200 Low 9.761712e-01 2.382880e-02
## 201 Low 9.945772e-01 5.422790e-03
## 202 Low 9.968064e-01 3.193578e-03
## 203 Low 9.975266e-01 2.473415e-03
## 204 Low 9.959668e-01 4.033231e-03
## 205 Low 9.955764e-01 4.423604e-03
## 206 Low 9.983975e-01 1.602542e-03
## 207 Low 9.932358e-01 6.764229e-03
## 208 Low 9.964777e-01 3.522281e-03
## 209 Low 9.997733e-01 2.266951e-04
## 210 Low 9.994946e-01 5.054112e-04
## 211 Low 9.994736e-01 5.263985e-04
## 212 Low 9.994078e-01 5.922449e-04
## 213 Low 9.996607e-01 3.393485e-04
## 214 Low 9.997834e-01 2.165655e-04
## 215 Low 9.990583e-01 9.417223e-04
## 216 Low 9.994917e-01 5.083340e-04
## 217 High 9.024443e-05 9.999098e-01
## 218 High 2.077387e-05 9.999792e-01
## 219 High 1.670286e-05 9.999833e-01
## 220 High 7.767513e-06 9.999922e-01
## 221 High 6.360128e-03 9.936399e-01
## 222 High 1.266297e-03 9.987337e-01
## 223 High 9.996676e-04 9.990003e-01
## 224 High 1.365683e-04 9.998634e-01
## 225 High 6.298133e-01 3.701867e-01
## 226 High 6.133212e-02 9.386679e-01
## 227 High 2.886758e-03 9.971132e-01
## 228 High 2.288440e-02 9.771156e-01
## 229 High 3.374120e-04 9.996626e-01
## 230 High 1.241016e-01 8.758984e-01
## 231 High 1.738117e-02 9.826188e-01
## 232 High 5.011933e-04 9.994988e-01
## 233 High 2.381673e-02 9.761833e-01
## 234 High 3.121007e-02 9.687899e-01
## 235 High 4.899600e-03 9.951004e-01
## 236 High 2.205502e-01 7.794498e-01
## 237 High 6.287177e-01 3.712823e-01
## 238 High 6.888203e-02 9.311180e-01
## 239 High 1.354083e-01 8.645917e-01
## 240 High 4.201538e-02 9.579846e-01
## 241 High 3.538389e-04 9.996462e-01
## 242 High 8.932231e-03 9.910678e-01
## 243 High 1.351940e-02 9.864806e-01
## 244 High 6.953742e-01 3.046258e-01
## 245 High 2.622675e-01 7.377325e-01
## 246 High 8.535310e-03 9.914647e-01
## 247 High 1.852684e-02 9.814732e-01
## 248 High 5.937713e-03 9.940623e-01
## 249 High 3.389732e-02 9.661027e-01
## 250 High 5.870720e-01 4.129280e-01
## 251 High 2.857489e-01 7.142511e-01
## 252 High 3.958410e-01 6.041590e-01
## 253 High 2.283274e-01 7.716726e-01
## 254 High 5.922845e-01 4.077155e-01
## 255 High 1.977961e-01 8.022039e-01
## 256 High 4.194252e-02 9.580575e-01
## 257 High 6.517846e-02 9.348215e-01
## 258 High 2.196883e-01 7.803117e-01
## 259 High 5.748524e-01 4.251476e-01
## 260 High 1.796637e-01 8.203363e-01
## 261 High 5.581556e-02 9.441844e-01
## 262 High 1.692169e-02 9.830783e-01
## 263 High 1.227492e-01 8.772508e-01
## 264 High 4.237459e-01 5.762541e-01
## 265 High 6.514849e-01 3.485151e-01
## 266 High 1.102230e-01 8.897770e-01
## 267 High 4.335721e-01 5.664279e-01
## 268 High 5.075314e-02 9.492469e-01
## 269 Low 2.713865e-01 7.286135e-01
## 270 Low 4.070414e-01 5.929586e-01
## 271 Low 2.570201e-01 7.429799e-01
## 272 Low 8.450425e-01 1.549575e-01
## 273 Low 6.669529e-01 3.330471e-01
## 274 Low 8.724159e-01 1.275841e-01
## 275 Low 6.464582e-01 3.535418e-01
## 276 Low 9.895986e-01 1.040137e-02
## 277 Low 9.922429e-01 7.757131e-03
## 278 Low 4.340324e-01 5.659676e-01
## 279 Low 8.110909e-01 1.889091e-01
## 280 Low 9.160900e-01 8.391003e-02
## 281 Low 6.720414e-01 3.279586e-01
## 282 Low 9.266720e-01 7.332797e-02
## 283 Low 9.591404e-01 4.085962e-02
## 284 Low 9.913447e-01 8.655273e-03
## 285 Low 9.960629e-01 3.937105e-03
## 286 Low 8.083243e-01 1.916757e-01
## 287 Low 6.154333e-01 3.845667e-01
## 288 Low 8.056947e-01 1.943053e-01
## 289 Low 9.569709e-01 4.302908e-02
## 290 Low 9.344964e-01 6.550357e-02
## 291 Low 8.634681e-01 1.365319e-01
## 292 Low 9.300919e-01 6.990814e-02
## 293 Low 7.960571e-01 2.039429e-01
## 294 Low 9.655898e-01 3.441016e-02
## 295 Low 9.345680e-01 6.543200e-02
## 296 Low 7.895110e-01 2.104890e-01
## 297 Low 8.107852e-01 1.892148e-01
## 298 Low 8.799394e-01 1.200606e-01
## 299 Low 9.797631e-01 2.023692e-02
## 300 Low 9.963098e-01 3.690246e-03
## 301 Low 9.883049e-01 1.169515e-02
## 302 Low 9.698623e-01 3.013770e-02
## 303 Low 9.975535e-01 2.446516e-03
## 304 Low 9.920587e-01 7.941265e-03
## 305 Low 9.999988e-01 1.199161e-06
## 306 Low 9.980662e-01 1.933844e-03
## 307 Low 9.997139e-01 2.861156e-04
## 308 Low 9.998400e-01 1.600302e-04
## 309 Low 9.999303e-01 6.968800e-05
## 310 Low 9.999389e-01 6.105678e-05
## 311 Low 9.997990e-01 2.010226e-04
## 312 Low 9.989269e-01 1.073065e-03
## 313 High 3.286538e-02 9.671346e-01
## 314 High 6.398317e-01 3.601683e-01
## 315 Low 9.765166e-01 2.348341e-02
## 316 High 9.994079e-01 5.920987e-04##################################
# Reporting the independent evaluation results
# for the test set
##################################
SVM_R_Test_ROC <- roc(response = SVM_R_Test$SVM_R_Observed,
predictor = SVM_R_Test$SVM_R_Predicted.High,
levels = rev(levels(SVM_R_Test$SVM_R_Observed)))
(SVM_R_Test_ROCCurveAUC <- auc(SVM_R_Test_ROC)[1])## [1] 0.95015971.5.9 Support Vector Machine - Polynomial Kernel (SVM_P)
Support Vector Machine plots each observation in an N-dimensional space corresponding to the number of features in the data set and finds a hyperplane that maximally separates the different classes by a maximally large margin (which is defined as the distance between the hyperplane and the closest data points from each class). The algorithm applies kernel transformation by mapping non-linearly separable data using the similarities between the points in a high-dimensional feature space for improved discrimination.
[A] The support vector machine (polynomial kernel) model from the kernlab package was implemented through the caret package.
[B] The model contains 3 hyperparameters:
[B.1] degree = polynomial degree made to vary across a range of values equal to 1 to 2
[B.2] scale = scale made to vary across a range of values equal to 0.001 to 0.010
[B.3] C = cost made to vary across a range of values equal to 0.25 to 32.00
[C] The cross-validated model performance of the final model is summarized as follows:
[C.1] Final model configuration involves degree=2, scale=0.005 and C=32
[C.2] AUROC = 0.95048
[D] The model does not allow for ranking of predictors in terms of variable importance.
[E] The independent test model performance of the final model is summarized as follows:
[E.1] AUROC = 0.95011
Code Chunk | Output
##################################
# Transforming factor predictors
# as required by the nature of the model
##################################
# Creating a local object
# for the train and test sets
##################################
PMA_PreModelling_Train_SVM_P <- as.data.frame(lapply(PMA_PreModelling_Train[,!names(PMA_PreModelling_Train) %in%
c("Log_Solubility_Class")],
function(x) as.numeric(as.character(x))))
PMA_PreModelling_Train_SVM_P$Log_Solubility_Class <- PMA_PreModelling_Train$Log_Solubility_Class
dim(PMA_PreModelling_Train_SVM_P)## [1] 951 221PMA_PreModelling_Test_SVM_P <- as.data.frame(lapply(PMA_PreModelling_Test[,!names(PMA_PreModelling_Test) %in%
c("Log_Solubility_Class")],
function(x) as.numeric(as.character(x))))
PMA_PreModelling_Test_SVM_P$Log_Solubility_Class <- PMA_PreModelling_Test$Log_Solubility_Class
dim(PMA_PreModelling_Test_SVM_P)## [1] 316 221##################################
# Creating consistent fold assignments
# for the 10-Fold Cross Validation process
##################################
set.seed(12345678)
KFold_Indices <- createFolds(PMA_PreModelling_Train_SVM_P$Log_Solubility_Class,
k = 10,
returnTrain=TRUE)
KFold_Control <- trainControl(method="cv",
index=KFold_Indices,
summaryFunction = twoClassSummary,
classProbs = TRUE)
##################################
# Setting the conditions
# for hyperparameter tuning
##################################
SVM_P_Grid = expand.grid(degree = 1:2,
scale = c(0.01, 0.005, 0.001),
C = 2^(-2:5))
##################################
# Running the support vector machine (polynomial kernel) model
# by setting the caret method to 'svmPoly'
##################################
set.seed(12345678)
SVM_P_Tune <- train(x = PMA_PreModelling_Train_SVM_P[,!names(PMA_PreModelling_Train_SVM_P) %in% c("Log_Solubility_Class")],
y = PMA_PreModelling_Train_SVM_P$Log_Solubility_Class,
method = "svmPoly",
tuneGrid = SVM_P_Grid,
metric = "ROC",
preProc = c("center", "scale"),
trControl = KFold_Control)
##################################
# Reporting the cross-validation results
# for the train set
##################################
SVM_P_Tune## Support Vector Machines with Polynomial Kernel
##
## 951 samples
## 220 predictors
## 2 classes: 'Low', 'High'
##
## Pre-processing: centered (220), scaled (220)
## Resampling: Cross-Validated (10 fold)
## Summary of sample sizes: 857, 855, 857, 855, 856, 856, ...
## Resampling results across tuning parameters:
##
## degree scale C ROC Sens Spec
## 1 0.001 0.25 0.8982574 0.7492248 0.8245283
## 1 0.001 0.50 0.9154136 0.8100775 0.8397315
## 1 0.001 1.00 0.9300498 0.8266888 0.8530842
## 1 0.001 2.00 0.9382509 0.8406423 0.8607765
## 1 0.001 4.00 0.9410973 0.8382060 0.8665820
## 1 0.001 8.00 0.9418678 0.8450720 0.8684688
## 1 0.001 16.00 0.9423674 0.8523256 0.8665457
## 1 0.001 32.00 0.9384860 0.8405316 0.8723149
## 1 0.005 0.25 0.9334756 0.8312846 0.8607765
## 1 0.005 0.50 0.9385687 0.8334994 0.8570755
## 1 0.005 1.00 0.9429324 0.8405316 0.8685414
## 1 0.005 2.00 0.9420834 0.8522148 0.8665457
## 1 0.005 4.00 0.9416546 0.8497785 0.8646589
## 1 0.005 8.00 0.9377184 0.8381506 0.8723512
## 1 0.005 16.00 0.9378910 0.8428571 0.8703556
## 1 0.005 32.00 0.9340194 0.8358804 0.8684688
## 1 0.010 0.25 0.9385237 0.8334994 0.8627721
## 1 0.010 0.50 0.9429324 0.8428571 0.8685414
## 1 0.010 1.00 0.9420834 0.8475637 0.8626996
## 1 0.010 2.00 0.9416546 0.8498339 0.8646952
## 1 0.010 4.00 0.9377184 0.8357697 0.8685414
## 1 0.010 8.00 0.9378910 0.8405869 0.8741655
## 1 0.010 16.00 0.9340194 0.8451827 0.8703919
## 1 0.010 32.00 0.9331110 0.8336656 0.8779390
## 2 0.001 0.25 0.9177808 0.8170543 0.8397678
## 2 0.001 0.50 0.9312968 0.8313400 0.8531567
## 2 0.001 1.00 0.9382799 0.8358250 0.8626996
## 2 0.001 2.00 0.9415732 0.8287929 0.8665820
## 2 0.001 4.00 0.9437586 0.8498893 0.8627721
## 2 0.001 8.00 0.9434995 0.8359358 0.8741655
## 2 0.001 16.00 0.9429819 0.8381506 0.8817852
## 2 0.001 32.00 0.9441590 0.8499446 0.8874819
## 2 0.005 0.25 0.9370187 0.8357697 0.8686139
## 2 0.005 0.50 0.9398239 0.8498339 0.8666909
## 2 0.005 1.00 0.9416083 0.8381506 0.8761611
## 2 0.005 2.00 0.9424678 0.8406423 0.8836357
## 2 0.005 4.00 0.9454805 0.8570321 0.8798984
## 2 0.005 8.00 0.9458642 0.8616833 0.8874456
## 2 0.005 16.00 0.9478692 0.8593023 0.8835994
## 2 0.005 32.00 0.9504889 0.8592470 0.8836357
## 2 0.010 0.25 0.9366234 0.8311185 0.8666183
## 2 0.010 0.50 0.9383894 0.8428018 0.8742017
## 2 0.010 1.00 0.9411239 0.8476190 0.8779753
## 2 0.010 2.00 0.9442114 0.8453488 0.8798258
## 2 0.010 4.00 0.9459963 0.8593577 0.8817126
## 2 0.010 8.00 0.9490640 0.8593577 0.8816401
## 2 0.010 16.00 0.9503049 0.8640642 0.8874456
## 2 0.010 32.00 0.9502390 0.8686047 0.8969884
##
## ROC was used to select the optimal model using the largest value.
## The final values used for the model were degree = 2, scale = 0.005 and C = 32.SVM_P_Tune$finalModel## Support Vector Machine object of class "ksvm"
##
## SV type: C-svc (classification)
## parameter : cost C = 32
##
## Polynomial kernel function.
## Hyperparameters : degree = 2 scale = 0.005 offset = 1
##
## Number of Support Vectors : 285
##
## Objective Function Value : -720.9112
## Training error : 0.001052
## Probability model included.SVM_P_Tune$results## degree scale C ROC Sens Spec ROCSD SensSD
## 1 1 0.001 0.25 0.8982574 0.7492248 0.8245283 0.03477994 0.08301318
## 2 1 0.001 0.50 0.9154136 0.8100775 0.8397315 0.02673369 0.06433315
## 3 1 0.001 1.00 0.9300498 0.8266888 0.8530842 0.01945843 0.04928813
## 4 1 0.001 2.00 0.9382509 0.8406423 0.8607765 0.02013177 0.07030579
## 5 1 0.001 4.00 0.9410973 0.8382060 0.8665820 0.02291858 0.04666212
## 6 1 0.001 8.00 0.9418678 0.8450720 0.8684688 0.02336680 0.06725583
## 7 1 0.001 16.00 0.9423674 0.8523256 0.8665457 0.02681344 0.06913274
## 8 1 0.001 32.00 0.9384860 0.8405316 0.8723149 0.02848837 0.07512383
## 9 1 0.005 0.25 0.9334756 0.8312846 0.8607765 0.01917285 0.05493122
## 10 1 0.005 0.50 0.9385687 0.8334994 0.8570755 0.02102400 0.05285153
## 11 1 0.005 1.00 0.9429324 0.8405316 0.8685414 0.02285407 0.06061599
## 12 1 0.005 2.00 0.9420834 0.8522148 0.8665457 0.02476222 0.06766016
## 13 1 0.005 4.00 0.9416546 0.8497785 0.8646589 0.02811772 0.06457630
## 14 1 0.005 8.00 0.9377184 0.8381506 0.8723512 0.02845289 0.06964725
## 15 1 0.005 16.00 0.9378910 0.8428571 0.8703556 0.02897121 0.08340389
## 16 1 0.005 32.00 0.9340194 0.8358804 0.8684688 0.03032960 0.07168265
## 17 1 0.010 0.25 0.9385237 0.8334994 0.8627721 0.02105140 0.05285153
## 18 1 0.010 0.50 0.9429324 0.8428571 0.8685414 0.02285407 0.05576994
## 19 1 0.010 1.00 0.9420834 0.8475637 0.8626996 0.02476222 0.06301168
## 20 1 0.010 2.00 0.9416546 0.8498339 0.8646952 0.02811772 0.05953335
## 21 1 0.010 4.00 0.9377184 0.8357697 0.8685414 0.02845289 0.07385252
## 22 1 0.010 8.00 0.9378910 0.8405869 0.8741655 0.02897121 0.07699485
## 23 1 0.010 16.00 0.9340194 0.8451827 0.8703919 0.03032960 0.07766084
## 24 1 0.010 32.00 0.9331110 0.8336656 0.8779390 0.02558704 0.07420272
## 25 2 0.001 0.25 0.9177808 0.8170543 0.8397678 0.02568345 0.06484486
## 26 2 0.001 0.50 0.9312968 0.8313400 0.8531567 0.01925534 0.04373895
## 27 2 0.001 1.00 0.9382799 0.8358250 0.8626996 0.01959475 0.05989700
## 28 2 0.001 2.00 0.9415732 0.8287929 0.8665820 0.02114134 0.05697014
## 29 2 0.001 4.00 0.9437586 0.8498893 0.8627721 0.02195056 0.06577088
## 30 2 0.001 8.00 0.9434995 0.8359358 0.8741655 0.02354723 0.07322104
## 31 2 0.001 16.00 0.9429819 0.8381506 0.8817852 0.02459237 0.07472236
## 32 2 0.001 32.00 0.9441590 0.8499446 0.8874819 0.02467181 0.07254186
## 33 2 0.005 0.25 0.9370187 0.8357697 0.8686139 0.02074181 0.06804611
## 34 2 0.005 0.50 0.9398239 0.8498339 0.8666909 0.02041487 0.06504293
## 35 2 0.005 1.00 0.9416083 0.8381506 0.8761611 0.02057089 0.07794713
## 36 2 0.005 2.00 0.9424678 0.8406423 0.8836357 0.02092003 0.07609199
## 37 2 0.005 4.00 0.9454805 0.8570321 0.8798984 0.01889337 0.07496758
## 38 2 0.005 8.00 0.9458642 0.8616833 0.8874456 0.01805740 0.06284101
## 39 2 0.005 16.00 0.9478692 0.8593023 0.8835994 0.01863617 0.06446458
## 40 2 0.005 32.00 0.9504889 0.8592470 0.8836357 0.01783922 0.06915726
## 41 2 0.010 0.25 0.9366234 0.8311185 0.8666183 0.01843902 0.06917656
## 42 2 0.010 0.50 0.9383894 0.8428018 0.8742017 0.01888776 0.08914918
## 43 2 0.010 1.00 0.9411239 0.8476190 0.8779753 0.01918473 0.09028992
## 44 2 0.010 2.00 0.9442114 0.8453488 0.8798258 0.01847995 0.07938012
## 45 2 0.010 4.00 0.9459963 0.8593577 0.8817126 0.01723191 0.06519004
## 46 2 0.010 8.00 0.9490640 0.8593577 0.8816401 0.01633029 0.06331960
## 47 2 0.010 16.00 0.9503049 0.8640642 0.8874456 0.01766674 0.06400041
## 48 2 0.010 32.00 0.9502390 0.8686047 0.8969884 0.02003144 0.05015350
## SpecSD
## 1 0.05243415
## 2 0.04911453
## 3 0.04009336
## 4 0.04718750
## 5 0.03636061
## 6 0.05098173
## 7 0.05156079
## 8 0.06350242
## 9 0.04456743
## 10 0.04940893
## 11 0.04551867
## 12 0.05381308
## 13 0.05260650
## 14 0.07070969
## 15 0.06155613
## 16 0.06118457
## 17 0.04404403
## 18 0.04551867
## 19 0.04978374
## 20 0.05550653
## 21 0.07266464
## 22 0.06045496
## 23 0.06204463
## 24 0.05504359
## 25 0.04730489
## 26 0.04631419
## 27 0.04616555
## 28 0.04708384
## 29 0.05575721
## 30 0.05339856
## 31 0.05535593
## 32 0.05939838
## 33 0.06308339
## 34 0.06227535
## 35 0.06073578
## 36 0.05812064
## 37 0.06301275
## 38 0.06342667
## 39 0.06911211
## 40 0.06145433
## 41 0.05847149
## 42 0.06778133
## 43 0.06180610
## 44 0.07050687
## 45 0.07207114
## 46 0.07219441
## 47 0.05936077
## 48 0.05190848(SVM_P_Train_ROCCurveAUC <- SVM_P_Tune$results[SVM_P_Tune$results$degree==SVM_P_Tune$bestTune$degree &
SVM_P_Tune$results$scale==SVM_P_Tune$bestTune$scale &
SVM_P_Tune$results$C==SVM_P_Tune$bestTune$C,
c("ROC")])## [1] 0.9504889##################################
# Identifying and plotting the
# best model predictors
##################################
# model does not support variable importance measurement
##################################
# Independently evaluating the model
# on the test set
##################################
SVM_P_Test <- data.frame(SVM_P_Observed = PMA_PreModelling_Test_SVM_P$Log_Solubility_Class,
SVM_P_Predicted = predict(SVM_P_Tune,
PMA_PreModelling_Test_SVM_P[,!names(PMA_PreModelling_Test_SVM_P) %in% c("Log_Solubility_Class")],
type = "prob"))
SVM_P_Test## SVM_P_Observed SVM_P_Predicted.Low SVM_P_Predicted.High
## 1 High 4.437105e-05 9.999556e-01
## 2 High 9.863074e-05 9.999014e-01
## 3 High 5.297227e-02 9.470277e-01
## 4 High 1.364081e-03 9.986359e-01
## 5 High 4.056261e-03 9.959437e-01
## 6 High 1.935681e-04 9.998064e-01
## 7 High 1.894876e-04 9.998105e-01
## 8 High 8.461504e-05 9.999154e-01
## 9 High 7.590917e-05 9.999241e-01
## 10 High 1.515337e-01 8.484663e-01
## 11 High 1.253198e-01 8.746802e-01
## 12 High 1.580050e-02 9.841995e-01
## 13 High 3.381798e-04 9.996618e-01
## 14 High 2.823980e-03 9.971760e-01
## 15 High 1.681284e-02 9.831872e-01
## 16 High 1.512818e-02 9.848718e-01
## 17 High 4.038851e-03 9.959611e-01
## 18 High 8.274691e-04 9.991725e-01
## 19 High 1.113583e-02 9.888642e-01
## 20 High 4.911766e-02 9.508823e-01
## 21 High 9.898067e-04 9.990102e-01
## 22 High 2.339977e-03 9.976600e-01
## 23 High 1.306064e-02 9.869394e-01
## 24 High 7.235225e-03 9.927648e-01
## 25 High 3.412072e-02 9.658793e-01
## 26 High 2.954190e-03 9.970458e-01
## 27 High 1.521391e-03 9.984786e-01
## 28 High 8.935793e-04 9.991064e-01
## 29 High 8.212562e-01 1.787438e-01
## 30 High 1.457176e-02 9.854282e-01
## 31 High 4.213112e-01 5.786888e-01
## 32 High 1.438817e-03 9.985612e-01
## 33 High 1.382656e-03 9.986173e-01
## 34 High 3.875270e-04 9.996125e-01
## 35 High 2.084086e-03 9.979159e-01
## 36 High 1.807449e-02 9.819255e-01
## 37 High 9.113954e-04 9.990886e-01
## 38 High 7.335468e-03 9.926645e-01
## 39 High 8.801846e-03 9.911982e-01
## 40 High 2.758028e-02 9.724197e-01
## 41 High 1.059527e-03 9.989405e-01
## 42 High 1.135930e-01 8.864070e-01
## 43 High 4.056316e-02 9.594368e-01
## 44 High 1.072802e-04 9.998927e-01
## 45 High 9.056021e-03 9.909440e-01
## 46 High 3.450541e-02 9.654946e-01
## 47 High 7.514901e-03 9.924851e-01
## 48 High 1.463060e-02 9.853694e-01
## 49 High 5.965261e-03 9.940347e-01
## 50 High 6.998302e-03 9.930017e-01
## 51 High 4.214485e-03 9.957855e-01
## 52 High 4.890794e-03 9.951092e-01
## 53 High 1.177139e-01 8.822861e-01
## 54 High 5.587705e-02 9.441229e-01
## 55 High 3.211403e-01 6.788597e-01
## 56 High 7.301659e-02 9.269834e-01
## 57 High 4.725764e-02 9.527424e-01
## 58 High 6.376771e-02 9.362323e-01
## 59 High 8.894208e-02 9.110579e-01
## 60 High 5.459579e-01 4.540421e-01
## 61 High 8.435069e-03 9.915649e-01
## 62 High 1.808928e-02 9.819107e-01
## 63 High 1.530560e-02 9.846944e-01
## 64 High 1.121788e-01 8.878212e-01
## 65 High 1.630383e-01 8.369617e-01
## 66 High 1.682650e-01 8.317350e-01
## 67 High 8.472637e-01 1.527363e-01
## 68 High 4.978264e-01 5.021736e-01
## 69 High 4.121811e-02 9.587819e-01
## 70 High 3.813110e-01 6.186890e-01
## 71 High 2.058742e-02 9.794126e-01
## 72 High 3.424141e-01 6.575859e-01
## 73 High 1.535931e-02 9.846407e-01
## 74 High 8.362718e-01 1.637282e-01
## 75 High 2.310661e-01 7.689339e-01
## 76 High 4.337502e-01 5.662498e-01
## 77 High 3.517762e-01 6.482238e-01
## 78 High 4.227364e-02 9.577264e-01
## 79 High 2.895282e-01 7.104718e-01
## 80 High 1.418081e-01 8.581919e-01
## 81 High 8.232842e-02 9.176716e-01
## 82 High 4.374798e-02 9.562520e-01
## 83 High 6.295803e-01 3.704197e-01
## 84 High 1.545407e-02 9.845459e-01
## 85 High 2.048561e-01 7.951439e-01
## 86 High 6.162280e-02 9.383772e-01
## 87 High 1.680072e-01 8.319928e-01
## 88 High 1.319825e-01 8.680175e-01
## 89 High 2.940581e-01 7.059419e-01
## 90 High 1.429267e-02 9.857073e-01
## 91 High 1.808009e-01 8.191991e-01
## 92 High 1.891659e-01 8.108341e-01
## 93 High 3.791373e-01 6.208627e-01
## 94 High 2.616863e-02 9.738314e-01
## 95 High 1.012828e-01 8.987172e-01
## 96 High 1.666090e-01 8.333910e-01
## 97 High 4.756672e-01 5.243328e-01
## 98 High 3.370586e-01 6.629414e-01
## 99 High 1.926107e-02 9.807389e-01
## 100 High 1.287430e-01 8.712570e-01
## 101 High 1.808205e-01 8.191795e-01
## 102 High 2.973948e-01 7.026052e-01
## 103 High 1.273138e-01 8.726862e-01
## 104 High 2.893142e-01 7.106858e-01
## 105 High 8.968593e-01 1.031407e-01
## 106 High 6.767236e-02 9.323276e-01
## 107 High 3.893571e-01 6.106429e-01
## 108 High 2.771089e-01 7.228911e-01
## 109 High 6.014674e-01 3.985326e-01
## 110 High 3.001782e-01 6.998218e-01
## 111 High 2.330348e-01 7.669652e-01
## 112 High 8.496574e-01 1.503426e-01
## 113 High 4.360659e-01 5.639341e-01
## 114 High 7.705737e-02 9.229426e-01
## 115 High 4.011531e-01 5.988469e-01
## 116 High 8.868558e-01 1.131442e-01
## 117 High 9.847158e-01 1.528423e-02
## 118 High 9.220983e-01 7.790173e-02
## 119 Low 3.397053e-02 9.660295e-01
## 120 Low 5.257021e-01 4.742979e-01
## 121 Low 4.558101e-01 5.441899e-01
## 122 Low 7.818783e-03 9.921812e-01
## 123 Low 9.482311e-01 5.176886e-02
## 124 Low 4.311209e-01 5.688791e-01
## 125 Low 6.013589e-01 3.986411e-01
## 126 Low 5.302886e-02 9.469711e-01
## 127 Low 9.614139e-01 3.858608e-02
## 128 Low 5.533691e-01 4.466309e-01
## 129 Low 8.612155e-01 1.387845e-01
## 130 Low 5.203065e-01 4.796935e-01
## 131 Low 8.486217e-01 1.513783e-01
## 132 Low 5.803644e-01 4.196356e-01
## 133 Low 9.287323e-01 7.126769e-02
## 134 Low 6.441916e-01 3.558084e-01
## 135 Low 4.884047e-01 5.115953e-01
## 136 Low 8.239077e-01 1.760923e-01
## 137 Low 4.338176e-01 5.661824e-01
## 138 Low 6.599024e-01 3.400976e-01
## 139 Low 4.219484e-01 5.780516e-01
## 140 Low 1.860729e-01 8.139271e-01
## 141 Low 3.530747e-01 6.469253e-01
## 142 Low 1.166715e-01 8.833285e-01
## 143 Low 9.228837e-01 7.711631e-02
## 144 Low 6.100013e-01 3.899987e-01
## 145 Low 2.518927e-01 7.481073e-01
## 146 Low 8.477800e-01 1.522200e-01
## 147 Low 8.775036e-01 1.224964e-01
## 148 Low 6.460553e-01 3.539447e-01
## 149 Low 9.386742e-01 6.132583e-02
## 150 Low 9.465394e-01 5.346057e-02
## 151 Low 4.351581e-01 5.648419e-01
## 152 Low 9.529013e-01 4.709866e-02
## 153 Low 7.167478e-01 2.832522e-01
## 154 Low 8.558321e-01 1.441679e-01
## 155 Low 4.308504e-01 5.691496e-01
## 156 Low 8.454887e-01 1.545113e-01
## 157 Low 8.965019e-01 1.034981e-01
## 158 Low 5.433461e-01 4.566539e-01
## 159 Low 9.058133e-01 9.418672e-02
## 160 Low 9.602120e-01 3.978802e-02
## 161 Low 9.027195e-01 9.728052e-02
## 162 Low 9.108580e-01 8.914196e-02
## 163 Low 9.477831e-01 5.221692e-02
## 164 Low 9.871036e-01 1.289644e-02
## 165 Low 9.987761e-01 1.223916e-03
## 166 Low 9.232130e-01 7.678700e-02
## 167 Low 9.969155e-01 3.084534e-03
## 168 Low 6.455968e-01 3.544032e-01
## 169 Low 9.381964e-01 6.180362e-02
## 170 Low 9.908208e-01 9.179190e-03
## 171 Low 9.752634e-01 2.473664e-02
## 172 Low 9.215194e-01 7.848060e-02
## 173 Low 8.512954e-01 1.487046e-01
## 174 Low 9.998767e-01 1.232664e-04
## 175 Low 9.823109e-01 1.768907e-02
## 176 Low 8.428239e-01 1.571761e-01
## 177 Low 9.591561e-01 4.084385e-02
## 178 Low 9.696089e-01 3.039105e-02
## 179 Low 9.290788e-01 7.092120e-02
## 180 Low 8.050375e-01 1.949625e-01
## 181 Low 9.337396e-01 6.626036e-02
## 182 Low 7.898904e-01 2.101096e-01
## 183 Low 9.985306e-01 1.469425e-03
## 184 Low 9.992304e-01 7.695772e-04
## 185 Low 9.028139e-01 9.718614e-02
## 186 Low 9.710167e-01 2.898334e-02
## 187 Low 9.923206e-01 7.679375e-03
## 188 Low 9.357071e-01 6.429295e-02
## 189 Low 9.860034e-01 1.399662e-02
## 190 Low 9.856923e-01 1.430772e-02
## 191 Low 9.528866e-01 4.711340e-02
## 192 Low 9.184979e-01 8.150207e-02
## 193 Low 9.629996e-01 3.700045e-02
## 194 Low 9.669751e-01 3.302489e-02
## 195 Low 9.967992e-01 3.200789e-03
## 196 Low 9.636754e-01 3.632463e-02
## 197 Low 9.681232e-01 3.187685e-02
## 198 Low 9.219406e-01 7.805945e-02
## 199 Low 9.927099e-01 7.290081e-03
## 200 Low 9.883603e-01 1.163965e-02
## 201 Low 9.872716e-01 1.272841e-02
## 202 Low 9.897256e-01 1.027438e-02
## 203 Low 9.898915e-01 1.010853e-02
## 204 Low 9.860584e-01 1.394162e-02
## 205 Low 9.874249e-01 1.257505e-02
## 206 Low 9.952109e-01 4.789145e-03
## 207 Low 9.957363e-01 4.263718e-03
## 208 Low 9.909268e-01 9.073177e-03
## 209 Low 9.993597e-01 6.403427e-04
## 210 Low 9.948199e-01 5.180123e-03
## 211 Low 9.981661e-01 1.833947e-03
## 212 Low 9.977850e-01 2.214988e-03
## 213 Low 9.990890e-01 9.109874e-04
## 214 Low 9.995084e-01 4.916347e-04
## 215 Low 9.985671e-01 1.432851e-03
## 216 Low 9.991574e-01 8.425698e-04
## 217 High 2.861841e-04 9.997138e-01
## 218 High 2.525521e-04 9.997474e-01
## 219 High 1.932631e-04 9.998067e-01
## 220 High 3.589613e-04 9.996410e-01
## 221 High 1.309125e-02 9.869087e-01
## 222 High 1.953967e-02 9.804603e-01
## 223 High 5.416678e-03 9.945833e-01
## 224 High 3.593345e-03 9.964067e-01
## 225 High 3.952984e-01 6.047016e-01
## 226 High 7.173722e-02 9.282628e-01
## 227 High 6.556078e-03 9.934439e-01
## 228 High 4.631593e-02 9.536841e-01
## 229 High 3.191958e-04 9.996808e-01
## 230 High 9.328630e-02 9.067137e-01
## 231 High 5.569023e-02 9.443098e-01
## 232 High 2.576389e-03 9.974236e-01
## 233 High 3.111545e-02 9.688846e-01
## 234 High 2.238030e-02 9.776197e-01
## 235 High 2.836261e-02 9.716374e-01
## 236 High 2.375457e-01 7.624543e-01
## 237 High 4.087041e-01 5.912959e-01
## 238 High 4.593380e-02 9.540662e-01
## 239 High 1.177139e-01 8.822861e-01
## 240 High 1.056348e-01 8.943652e-01
## 241 High 3.137645e-03 9.968624e-01
## 242 High 2.791157e-02 9.720884e-01
## 243 High 1.831218e-02 9.816878e-01
## 244 High 7.599363e-01 2.400637e-01
## 245 High 2.214500e-01 7.785500e-01
## 246 High 5.039272e-03 9.949607e-01
## 247 High 2.641108e-02 9.735889e-01
## 248 High 1.270971e-02 9.872903e-01
## 249 High 4.820820e-02 9.517918e-01
## 250 High 5.446703e-01 4.553297e-01
## 251 High 1.746056e-01 8.253944e-01
## 252 High 5.305232e-01 4.694768e-01
## 253 High 1.224164e-01 8.775836e-01
## 254 High 7.132781e-01 2.867219e-01
## 255 High 1.485345e-01 8.514655e-01
## 256 High 1.834751e-02 9.816525e-01
## 257 High 7.286247e-03 9.927138e-01
## 258 High 1.619494e-01 8.380506e-01
## 259 High 6.408455e-01 3.591545e-01
## 260 High 1.943460e-01 8.056540e-01
## 261 High 5.822545e-02 9.417745e-01
## 262 High 3.767487e-02 9.623251e-01
## 263 High 1.900704e-01 8.099296e-01
## 264 High 3.476714e-01 6.523286e-01
## 265 High 6.845639e-01 3.154361e-01
## 266 High 4.977542e-02 9.502246e-01
## 267 High 5.772676e-01 4.227324e-01
## 268 High 2.854987e-02 9.714501e-01
## 269 Low 4.189723e-01 5.810277e-01
## 270 Low 3.866665e-01 6.133335e-01
## 271 Low 4.692530e-01 5.307470e-01
## 272 Low 7.015630e-01 2.984370e-01
## 273 Low 7.652021e-01 2.347979e-01
## 274 Low 8.254232e-01 1.745768e-01
## 275 Low 8.075412e-01 1.924588e-01
## 276 Low 9.443706e-01 5.562945e-02
## 277 Low 8.685546e-01 1.314454e-01
## 278 Low 3.642754e-01 6.357246e-01
## 279 Low 8.104561e-01 1.895439e-01
## 280 Low 8.730788e-01 1.269212e-01
## 281 Low 6.436814e-01 3.563186e-01
## 282 Low 9.556037e-01 4.439631e-02
## 283 Low 8.905941e-01 1.094059e-01
## 284 Low 9.857640e-01 1.423602e-02
## 285 Low 9.583932e-01 4.160682e-02
## 286 Low 6.444371e-01 3.555629e-01
## 287 Low 8.892668e-01 1.107332e-01
## 288 Low 8.103407e-01 1.896593e-01
## 289 Low 9.393219e-01 6.067812e-02
## 290 Low 8.607423e-01 1.392577e-01
## 291 Low 9.169157e-01 8.308427e-02
## 292 Low 7.877789e-01 2.122211e-01
## 293 Low 8.606541e-01 1.393459e-01
## 294 Low 9.590663e-01 4.093374e-02
## 295 Low 9.537861e-01 4.621387e-02
## 296 Low 8.156491e-01 1.843509e-01
## 297 Low 9.502762e-01 4.972382e-02
## 298 Low 8.670162e-01 1.329838e-01
## 299 Low 9.427929e-01 5.720708e-02
## 300 Low 9.884079e-01 1.159213e-02
## 301 Low 9.934260e-01 6.573965e-03
## 302 Low 9.417467e-01 5.825329e-02
## 303 Low 9.939330e-01 6.066998e-03
## 304 Low 9.825602e-01 1.743978e-02
## 305 Low 9.999661e-01 3.392876e-05
## 306 Low 9.943347e-01 5.665260e-03
## 307 Low 9.990516e-01 9.484101e-04
## 308 Low 9.997245e-01 2.754741e-04
## 309 Low 9.998293e-01 1.707135e-04
## 310 Low 9.999183e-01 8.165397e-05
## 311 Low 9.996739e-01 3.261319e-04
## 312 Low 9.971262e-01 2.873808e-03
## 313 High 7.277619e-02 9.272238e-01
## 314 High 3.912316e-01 6.087684e-01
## 315 Low 9.874103e-01 1.258970e-02
## 316 High 9.759034e-01 2.409659e-02##################################
# Reporting the independent evaluation results
# for the test set
##################################
SVM_P_Test_ROC <- roc(response = SVM_P_Test$SVM_P_Observed,
predictor = SVM_P_Test$SVM_P_Predicted.High,
levels = rev(levels(SVM_P_Test$SVM_P_Observed)))
(SVM_P_Test_ROCCurveAUC <- auc(SVM_P_Test_ROC)[1])## [1] 0.95011921.5.10 K-Nearest Neighbors (KNN)
K-Nearest Neighbors use proximity to make predictions about the class grouping of an individual data point. The algorithm examines the labels of a chosen number of data points surrounding a target data point given a distance-based similarity metric, in order to make a prediction about the class that the data point falls into. The process involves setting a value for the chosen number of neighbors, calculating the distance between the target point across all instances, sorting the calculated distances, obtaining the labels of the top entries and returning the prediction for the target point.
[A] The k-nearest neighbors model was implemented through the caret package.
[B] The model contains 1 hyperparameter:
[B.1] k = number of neighbors made to vary across a range of values equal to 1 to 15
[C] The cross-validated model performance of the final model is summarized as follows:
[C.1] Final model configuration involves k=8
[C.2] AUROC = 0.89489
[D] The model does not allow for ranking of predictors in terms of variable importance.
[E] The independent test model performance of the final model is summarized as follows:
[E.1] AUROC = 0.88170
Code Chunk | Output
##################################
# Transforming factor predictors
# as required by the nature of the model
##################################
# Creating a local object
# for the train and test sets
##################################
PMA_PreModelling_Train_KNN <- as.data.frame(lapply(PMA_PreModelling_Train[,!names(PMA_PreModelling_Train) %in%
c("Log_Solubility_Class")],
function(x) as.numeric(as.character(x))))
PMA_PreModelling_Train_KNN$Log_Solubility_Class <- PMA_PreModelling_Train$Log_Solubility_Class
dim(PMA_PreModelling_Train_KNN)## [1] 951 221PMA_PreModelling_Test_KNN <- as.data.frame(lapply(PMA_PreModelling_Test[,!names(PMA_PreModelling_Test) %in%
c("Log_Solubility_Class")],
function(x) as.numeric(as.character(x))))
PMA_PreModelling_Test_KNN$Log_Solubility_Class <- PMA_PreModelling_Test$Log_Solubility_Class
dim(PMA_PreModelling_Test_KNN)## [1] 316 221##################################
# Creating consistent fold assignments
# for the 10-Fold Cross Validation process
##################################
set.seed(12345678)
KFold_Indices <- createFolds(PMA_PreModelling_Train_KNN$Log_Solubility_Class,
k = 10,
returnTrain=TRUE)
KFold_Control <- trainControl(method="cv",
index=KFold_Indices,
summaryFunction = twoClassSummary,
classProbs = TRUE)
##################################
# Setting the conditions
# for hyperparameter tuning
##################################
KNN_Grid = data.frame(k = 1:15)
##################################
# Running the k-nearest neighbors model
# by setting the caret method to 'knn'
##################################
set.seed(12345678)
KNN_Tune <- train(x = PMA_PreModelling_Train_KNN[,!names(PMA_PreModelling_Train_KNN) %in% c("Log_Solubility_Class")],
y = PMA_PreModelling_Train_KNN$Log_Solubility_Class,
method = "knn",
tuneGrid = KNN_Grid,
metric = "ROC",
preProc = c("center", "scale"),
trControl = KFold_Control)
##################################
# Reporting the cross-validation results
# for the train set
##################################
KNN_Tune## k-Nearest Neighbors
##
## 951 samples
## 220 predictors
## 2 classes: 'Low', 'High'
##
## Pre-processing: centered (220), scaled (220)
## Resampling: Cross-Validated (10 fold)
## Summary of sample sizes: 857, 855, 857, 855, 856, 856, ...
## Resampling results across tuning parameters:
##
## k ROC Sens Spec
## 1 0.8165667 0.7705426 0.8625907
## 2 0.8498964 0.7329457 0.8380261
## 3 0.8695139 0.7074197 0.8722061
## 4 0.8805812 0.7237542 0.8646952
## 5 0.8881761 0.6981174 0.8779390
## 6 0.8890159 0.6723699 0.8911829
## 7 0.8929299 0.6536545 0.8951379
## 8 0.8948909 0.6700997 0.8951379
## 9 0.8932980 0.6488372 0.8913643
## 10 0.8924719 0.6442414 0.9064949
## 11 0.8917834 0.6559801 0.8988752
## 12 0.8903257 0.6605759 0.8950653
## 13 0.8886237 0.6442968 0.9027576
## 14 0.8892745 0.6534330 0.9064586
## 15 0.8877785 0.6418605 0.8988752
##
## ROC was used to select the optimal model using the largest value.
## The final value used for the model was k = 8.KNN_Tune$finalModel## 8-nearest neighbor model
## Training set outcome distribution:
##
## Low High
## 427 524KNN_Tune$results## k ROC Sens Spec ROCSD SensSD SpecSD
## 1 1 0.8165667 0.7705426 0.8625907 0.04805712 0.08491149 0.04031952
## 2 2 0.8498964 0.7329457 0.8380261 0.04287313 0.06804003 0.04016326
## 3 3 0.8695139 0.7074197 0.8722061 0.03543212 0.08107148 0.02826351
## 4 4 0.8805812 0.7237542 0.8646952 0.03061342 0.09403887 0.03072821
## 5 5 0.8881761 0.6981174 0.8779390 0.03118507 0.10247267 0.02362562
## 6 6 0.8890159 0.6723699 0.8911829 0.03099682 0.07660789 0.03402859
## 7 7 0.8929299 0.6536545 0.8951379 0.03099339 0.08447388 0.03589127
## 8 8 0.8948909 0.6700997 0.8951379 0.03312645 0.07348286 0.03366057
## 9 9 0.8932980 0.6488372 0.8913643 0.03893850 0.08004371 0.03545545
## 10 10 0.8924719 0.6442414 0.9064949 0.04301828 0.07785232 0.02905682
## 11 11 0.8917834 0.6559801 0.8988752 0.04130939 0.08744255 0.03579130
## 12 12 0.8903257 0.6605759 0.8950653 0.04351160 0.08004337 0.02562836
## 13 13 0.8886237 0.6442968 0.9027576 0.04293479 0.10062032 0.03128096
## 14 14 0.8892745 0.6534330 0.9064586 0.04380270 0.08873092 0.03044044
## 15 15 0.8877785 0.6418605 0.8988752 0.04471101 0.09231959 0.02527676(KNN_Train_ROCCurveAUC <- KNN_Tune$results[KNN_Tune$results$k==KNN_Tune$bestTune$k,
c("ROC")])## [1] 0.8948909##################################
# Identifying and plotting the
# best model predictors
##################################
# model does not support variable importance measurement
##################################
# Independently evaluating the model
# on the test set
##################################
KNN_Test <- data.frame(KNN_Observed = PMA_PreModelling_Test_KNN$Log_Solubility_Class,
KNN_Predicted = predict(KNN_Tune,
PMA_PreModelling_Test_KNN[,!names(PMA_PreModelling_Test_KNN) %in% c("Log_Solubility_Class")],
type = "prob"))
##################################
# Reporting the independent evaluation results
# for the test set
##################################
KNN_Test_ROC <- roc(response = KNN_Test$KNN_Observed,
predictor = KNN_Test$KNN_Predicted.High,
levels = rev(levels(KNN_Test$KNN_Observed)))
(KNN_Test_ROCCurveAUC <- auc(KNN_Test_ROC)[1])## [1] 0.8817051.5.11 Classification and Regression Trees (CART)
Classification and Regression Trees construct binary trees for both both nominal and continuous input attributes using Gini Index as its splitting criteria. The algorithm handles missing values by surrogating tests to approximate outcomes. In the pruning phase, CART uses pre-pruning technique called Cost-Complexity pruning to remove redundant branches from the decision tree to improve the accuracy. In the first stage, a sequence of increasingly smaller trees are built on the training data. In the second stage, one of these tree is chosen as the pruned tree, based on its classification accuracy on a pruning set, adopting a cross-validated method in its pruning technique.
[A] The classification and regression trees model from the rpart package was implemented through the caret package.
[B] The model contains 1 hyperparameter:
[B.1] cp = complexity parameter threshold made to vary across a range of values equal to 0.001 to 0.020
[C] The cross-validated model performance of the final model is summarized as follows:
[C.1] Final model configuration involves cp=0.001
[C.2] AUROC = 0.90236
[D] The model allows for ranking of predictors in terms of variable importance. The top-performing predictors in the model are as follows:
[D.1] MolWeight variable (numeric)
[D.2] NumCarbon variable (numeric)
[D.3] NumBonds variable (numeric)
[D.4] HydrophilicFactor variable (numeric)
[D.5] NumMultBonds variable (numeric)
[E] The independent test model performance of the final model is summarized as follows:
[E.1] AUROC = 0.94522
Code Chunk | Output
##################################
# Creating a local object
# for the train and test sets
##################################
PMA_PreModelling_Train_CART <- PMA_PreModelling_Train
PMA_PreModelling_Test_CART <- PMA_PreModelling_Test
##################################
# Creating consistent fold assignments
# for the 10-Fold Cross Validation process
##################################
set.seed(12345678)
KFold_Indices <- createFolds(PMA_PreModelling_Train_CART$Log_Solubility_Class,
k = 10,
returnTrain=TRUE)
KFold_Control <- trainControl(method="cv",
index=KFold_Indices,
summaryFunction = twoClassSummary,
classProbs = TRUE)
##################################
# Setting the conditions
# for hyperparameter tuning
##################################
CART_Grid = data.frame(cp = c(0.001, 0.005, 0.010, 0.015, 0.020))
##################################
# Running the classification and regression trees model
# by setting the caret method to 'rpart'
##################################
set.seed(12345678)
CART_Tune <- train(x = PMA_PreModelling_Train_CART[,!names(PMA_PreModelling_Train_CART) %in% c("Log_Solubility_Class")],
y = PMA_PreModelling_Train_CART$Log_Solubility_Class,
method = "rpart",
tuneGrid = CART_Grid,
metric = "ROC",
trControl = KFold_Control)
##################################
# Reporting the cross-validation results
# for the train set
##################################
CART_Tune## CART
##
## 951 samples
## 220 predictors
## 2 classes: 'Low', 'High'
##
## No pre-processing
## Resampling: Cross-Validated (10 fold)
## Summary of sample sizes: 857, 855, 857, 855, 856, 856, ...
## Resampling results across tuning parameters:
##
## cp ROC Sens Spec
## 0.001 0.9023673 0.8125692 0.8551524
## 0.005 0.8923973 0.8195460 0.8512700
## 0.010 0.8717310 0.8476190 0.8416183
## 0.015 0.8547744 0.8451827 0.8282293
## 0.020 0.8374508 0.8641750 0.8034107
##
## ROC was used to select the optimal model using the largest value.
## The final value used for the model was cp = 0.001.CART_Tune$finalModel## n= 951
##
## node), split, n, loss, yval, (yprob)
## * denotes terminal node
##
## 1) root 951 427 High (0.44900105 0.55099895)
## 2) NumCarbon>=0.08489128 424 102 Low (0.75943396 0.24056604)
## 4) SurfaceArea1< -0.5808955 119 3 Low (0.97478992 0.02521008) *
## 5) SurfaceArea1>=-0.5808955 305 99 Low (0.67540984 0.32459016)
## 10) MolWeight>=0.6824776 188 35 Low (0.81382979 0.18617021)
## 20) FP075=0 74 3 Low (0.95945946 0.04054054) *
## 21) FP075=1 114 32 Low (0.71929825 0.28070175)
## 42) FP198=0 105 24 Low (0.77142857 0.22857143)
## 84) FP009=1 30 1 Low (0.96666667 0.03333333) *
## 85) FP009=0 75 23 Low (0.69333333 0.30666667)
## 170) FP088=0 58 14 Low (0.75862069 0.24137931)
## 340) SurfaceArea1< 1.438317 36 5 Low (0.86111111 0.13888889) *
## 341) SurfaceArea1>=1.438317 22 9 Low (0.59090909 0.40909091)
## 682) NumRotBonds< 0.5184444 11 2 Low (0.81818182 0.18181818) *
## 683) NumRotBonds>=0.5184444 11 4 High (0.36363636 0.63636364) *
## 171) FP088=1 17 8 High (0.47058824 0.52941176) *
## 43) FP198=1 9 1 High (0.11111111 0.88888889) *
## 11) MolWeight< 0.6824776 117 53 High (0.45299145 0.54700855)
## 22) FP178=1 19 1 Low (0.94736842 0.05263158) *
## 23) FP178=0 98 35 High (0.35714286 0.64285714)
## 46) NumCarbon>=0.4506182 49 23 Low (0.53061224 0.46938776)
## 92) HydrophilicFactor< 0.3739684 40 14 Low (0.65000000 0.35000000)
## 184) FP166=0 10 0 Low (1.00000000 0.00000000) *
## 185) FP166=1 30 14 Low (0.53333333 0.46666667)
## 370) FP065=1 21 7 Low (0.66666667 0.33333333)
## 740) HydrophilicFactor>=-0.2286019 8 0 Low (1.00000000 0.00000000) *
## 741) HydrophilicFactor< -0.2286019 13 6 High (0.46153846 0.53846154) *
## 371) FP065=0 9 2 High (0.22222222 0.77777778) *
## 93) HydrophilicFactor>=0.3739684 9 0 High (0.00000000 1.00000000) *
## 47) NumCarbon< 0.4506182 49 9 High (0.18367347 0.81632653)
## 94) FP094=1 7 3 Low (0.57142857 0.42857143) *
## 95) FP094=0 42 5 High (0.11904762 0.88095238) *
## 3) NumCarbon< 0.08489128 527 105 High (0.19924099 0.80075901)
## 6) MolWeight>=0.3719905 59 17 Low (0.71186441 0.28813559)
## 12) FP115=0 46 7 Low (0.84782609 0.15217391)
## 24) FP171=0 37 2 Low (0.94594595 0.05405405) *
## 25) FP171=1 9 4 High (0.44444444 0.55555556) *
## 13) FP115=1 13 3 High (0.23076923 0.76923077) *
## 7) MolWeight< 0.3719905 468 63 High (0.13461538 0.86538462)
## 14) HydrophilicFactor< -0.789432 33 5 Low (0.84848485 0.15151515)
## 28) NumBonds>=-0.5566408 26 0 Low (1.00000000 0.00000000) *
## 29) NumBonds< -0.5566408 7 2 High (0.28571429 0.71428571) *
## 15) HydrophilicFactor>=-0.789432 435 35 High (0.08045977 0.91954023)
## 30) FP013=1 42 17 High (0.40476190 0.59523810)
## 60) FP060=0 26 10 Low (0.61538462 0.38461538)
## 120) MolWeight>=-0.1146511 9 0 Low (1.00000000 0.00000000) *
## 121) MolWeight< -0.1146511 17 7 High (0.41176471 0.58823529) *
## 61) FP060=1 16 1 High (0.06250000 0.93750000) *
## 31) FP013=0 393 18 High (0.04580153 0.95419847)
## 62) FP206=1 31 11 High (0.35483871 0.64516129)
## 124) NumOxygen< -0.6211843 7 1 Low (0.85714286 0.14285714) *
## 125) NumOxygen>=-0.6211843 24 5 High (0.20833333 0.79166667)
## 250) NumRotBonds>=1.764021 7 2 Low (0.71428571 0.28571429) *
## 251) NumRotBonds< 1.764021 17 0 High (0.00000000 1.00000000) *
## 63) FP206=0 362 7 High (0.01933702 0.98066298) *CART_Tune$results## cp ROC Sens Spec ROCSD SensSD SpecSD
## 1 0.001 0.9023673 0.8125692 0.8551524 0.02471610 0.04684097 0.05412641
## 2 0.005 0.8923973 0.8195460 0.8512700 0.02507914 0.06010888 0.04694613
## 3 0.010 0.8717310 0.8476190 0.8416183 0.04129882 0.05592549 0.05733463
## 4 0.015 0.8547744 0.8451827 0.8282293 0.04327629 0.05152127 0.07139618
## 5 0.020 0.8374508 0.8641750 0.8034107 0.04423715 0.05003381 0.06839680(CART_Train_ROCCurveAUC <- CART_Tune$results[CART_Tune$results$cp==CART_Tune$bestTune$cp,
c("ROC")])## [1] 0.9023673##################################
# Identifying and plotting the
# best model predictors
##################################
CART_VarImp <- varImp(CART_Tune, scale = TRUE)
plot(CART_VarImp,
top=25,
scales=list(y=list(cex = .95)),
main="Ranked Variable Importance : Classification and Regression Trees",
xlab="Scaled Variable Importance Metrics",
ylab="Predictors",
cex=2,
origin=0,
alpha=0.45)
##################################
# Independently evaluating the model
# on the test set
##################################
CART_Test <- data.frame(CART_Observed = PMA_PreModelling_Test_CART$Log_Solubility_Class,
CART_Predicted = predict(CART_Tune,
PMA_PreModelling_Test_CART[,!names(PMA_PreModelling_Test_CART) %in% c("Log_Solubility_Class")],
type = "prob"))
CART_Test## CART_Observed CART_Predicted.Low CART_Predicted.High
## 20 High 0.01933702 0.98066298
## 21 High 0.01933702 0.98066298
## 23 High 0.01933702 0.98066298
## 25 High 0.01933702 0.98066298
## 28 High 0.01933702 0.98066298
## 31 High 0.01933702 0.98066298
## 32 High 0.01933702 0.98066298
## 33 High 0.01933702 0.98066298
## 34 High 0.01933702 0.98066298
## 37 High 0.01933702 0.98066298
## 38 High 0.01933702 0.98066298
## 42 High 0.11904762 0.88095238
## 49 High 0.01933702 0.98066298
## 54 High 0.01933702 0.98066298
## 55 High 0.01933702 0.98066298
## 58 High 0.01933702 0.98066298
## 60 High 0.01933702 0.98066298
## 61 High 0.01933702 0.98066298
## 65 High 0.01933702 0.98066298
## 69 High 0.01933702 0.98066298
## 73 High 0.01933702 0.98066298
## 86 High 0.01933702 0.98066298
## 90 High 0.01933702 0.98066298
## 91 High 0.01933702 0.98066298
## 93 High 0.01933702 0.98066298
## 96 High 0.01933702 0.98066298
## 98 High 0.01933702 0.98066298
## 100 High 0.01933702 0.98066298
## 104 High 0.11111111 0.88888889
## 112 High 0.01933702 0.98066298
## 115 High 0.46153846 0.53846154
## 119 High 0.01933702 0.98066298
## 128 High 0.01933702 0.98066298
## 130 High 0.01933702 0.98066298
## 139 High 0.01933702 0.98066298
## 143 High 0.01933702 0.98066298
## 145 High 0.01933702 0.98066298
## 146 High 0.01933702 0.98066298
## 149 High 0.01933702 0.98066298
## 150 High 0.01933702 0.98066298
## 152 High 0.01933702 0.98066298
## 157 High 1.00000000 0.00000000
## 161 High 0.01933702 0.98066298
## 162 High 0.01933702 0.98066298
## 166 High 0.01933702 0.98066298
## 167 High 0.01933702 0.98066298
## 173 High 0.01933702 0.98066298
## 176 High 0.01933702 0.98066298
## 182 High 0.01933702 0.98066298
## 187 High 0.01933702 0.98066298
## 190 High 0.01933702 0.98066298
## 194 High 0.01933702 0.98066298
## 195 High 0.01933702 0.98066298
## 201 High 0.01933702 0.98066298
## 207 High 0.01933702 0.98066298
## 208 High 0.01933702 0.98066298
## 215 High 0.01933702 0.98066298
## 222 High 0.01933702 0.98066298
## 224 High 0.01933702 0.98066298
## 231 High 0.11904762 0.88095238
## 236 High 0.01933702 0.98066298
## 237 High 0.01933702 0.98066298
## 240 High 0.01933702 0.98066298
## 243 High 0.01933702 0.98066298
## 248 High 0.01933702 0.98066298
## 251 High 0.86111111 0.13888889
## 256 High 0.11904762 0.88095238
## 258 High 0.06250000 0.93750000
## 262 High 0.01933702 0.98066298
## 266 High 0.01933702 0.98066298
## 272 High 0.44444444 0.55555556
## 280 High 0.94736842 0.05263158
## 283 High 0.01933702 0.98066298
## 286 High 0.94594595 0.05405405
## 287 High 0.01933702 0.98066298
## 289 High 0.01933702 0.98066298
## 290 High 0.11904762 0.88095238
## 298 High 0.01933702 0.98066298
## 305 High 0.01933702 0.98066298
## 306 High 0.57142857 0.42857143
## 312 High 0.01933702 0.98066298
## 320 High 0.01933702 0.98066298
## 325 High 0.01933702 0.98066298
## 332 High 0.00000000 1.00000000
## 333 High 0.01933702 0.98066298
## 335 High 0.01933702 0.98066298
## 339 High 0.97478992 0.02521008
## 346 High 0.11904762 0.88095238
## 347 High 0.01933702 0.98066298
## 350 High 0.00000000 1.00000000
## 353 High 0.01933702 0.98066298
## 358 High 0.11904762 0.88095238
## 365 High 0.06250000 0.93750000
## 367 High 0.01933702 0.98066298
## 370 High 0.01933702 0.98066298
## 379 High 0.01933702 0.98066298
## 386 High 0.28571429 0.71428571
## 394 High 0.94736842 0.05263158
## 396 High 0.01933702 0.98066298
## 400 High 0.01933702 0.98066298
## 404 High 0.01933702 0.98066298
## 405 High 0.01933702 0.98066298
## 413 High 0.57142857 0.42857143
## 415 High 0.01933702 0.98066298
## 417 High 0.28571429 0.71428571
## 418 High 0.11904762 0.88095238
## 423 High 0.41176471 0.58823529
## 434 High 0.01933702 0.98066298
## 437 High 0.23076923 0.76923077
## 440 High 0.81818182 0.18181818
## 449 High 0.57142857 0.42857143
## 450 High 0.06250000 0.93750000
## 457 High 0.57142857 0.42857143
## 467 High 0.81818182 0.18181818
## 469 High 0.23076923 0.76923077
## 474 High 0.86111111 0.13888889
## 475 High 0.86111111 0.13888889
## 485 High 0.94736842 0.05263158
## 504 Low 0.95945946 0.04054054
## 511 Low 0.96666667 0.03333333
## 512 Low 1.00000000 0.00000000
## 517 Low 0.01933702 0.98066298
## 519 Low 0.95945946 0.04054054
## 520 Low 0.01933702 0.98066298
## 522 Low 0.22222222 0.77777778
## 527 Low 1.00000000 0.00000000
## 528 Low 1.00000000 0.00000000
## 529 Low 0.94736842 0.05263158
## 537 Low 0.85714286 0.14285714
## 540 Low 0.95945946 0.04054054
## 541 Low 1.00000000 0.00000000
## 547 Low 0.86111111 0.13888889
## 550 Low 0.81818182 0.18181818
## 555 Low 0.00000000 1.00000000
## 564 Low 0.94594595 0.05405405
## 570 Low 0.94736842 0.05263158
## 573 Low 0.94594595 0.05405405
## 575 Low 1.00000000 0.00000000
## 578 Low 1.00000000 0.00000000
## 581 Low 0.06250000 0.93750000
## 585 Low 0.94594595 0.05405405
## 590 Low 1.00000000 0.00000000
## 601 Low 0.95945946 0.04054054
## 602 Low 0.11904762 0.88095238
## 607 Low 0.46153846 0.53846154
## 610 Low 0.97478992 0.02521008
## 618 Low 0.81818182 0.18181818
## 624 Low 0.94594595 0.05405405
## 626 Low 0.94736842 0.05263158
## 627 Low 1.00000000 0.00000000
## 634 Low 0.11111111 0.88888889
## 640 Low 0.47058824 0.52941176
## 642 Low 1.00000000 0.00000000
## 643 Low 0.97478992 0.02521008
## 644 Low 0.46153846 0.53846154
## 645 Low 0.11904762 0.88095238
## 646 Low 0.97478992 0.02521008
## 647 Low 0.96666667 0.03333333
## 652 Low 0.85714286 0.14285714
## 658 Low 0.95945946 0.04054054
## 659 Low 0.97478992 0.02521008
## 660 Low 0.95945946 0.04054054
## 664 Low 0.86111111 0.13888889
## 666 Low 0.94594595 0.05405405
## 667 Low 0.95945946 0.04054054
## 675 Low 0.97478992 0.02521008
## 680 Low 0.11111111 0.88888889
## 681 Low 0.86111111 0.13888889
## 687 Low 0.97478992 0.02521008
## 694 Low 0.95945946 0.04054054
## 697 Low 0.94594595 0.05405405
## 701 Low 1.00000000 0.00000000
## 705 Low 0.95945946 0.04054054
## 707 Low 0.95945946 0.04054054
## 710 Low 0.97478992 0.02521008
## 716 Low 0.95945946 0.04054054
## 719 Low 0.47058824 0.52941176
## 720 Low 0.95945946 0.04054054
## 725 Low 0.95945946 0.04054054
## 727 Low 1.00000000 0.00000000
## 730 Low 0.94594595 0.05405405
## 738 Low 0.97478992 0.02521008
## 745 Low 0.97478992 0.02521008
## 748 Low 0.94736842 0.05263158
## 751 Low 0.95945946 0.04054054
## 756 Low 0.96666667 0.03333333
## 766 Low 0.95945946 0.04054054
## 769 Low 0.94594595 0.05405405
## 783 Low 0.97478992 0.02521008
## 785 Low 0.97478992 0.02521008
## 790 Low 0.95945946 0.04054054
## 793 Low 0.46153846 0.53846154
## 795 Low 0.95945946 0.04054054
## 796 Low 0.95945946 0.04054054
## 797 Low 0.95945946 0.04054054
## 801 Low 0.94594595 0.05405405
## 811 Low 0.94594595 0.05405405
## 812 Low 0.95945946 0.04054054
## 815 Low 0.95945946 0.04054054
## 816 Low 0.94594595 0.05405405
## 817 Low 0.97478992 0.02521008
## 824 Low 0.97478992 0.02521008
## 825 Low 0.97478992 0.02521008
## 826 Low 0.97478992 0.02521008
## 830 Low 0.97478992 0.02521008
## 837 Low 0.97478992 0.02521008
## 838 Low 0.94594595 0.05405405
## 844 Low 0.97478992 0.02521008
## 845 Low 0.97478992 0.02521008
## 847 Low 0.97478992 0.02521008
## 850 Low 0.97478992 0.02521008
## 852 Low 0.97478992 0.02521008
## 853 Low 0.97478992 0.02521008
## 861 Low 0.97478992 0.02521008
## 868 Low 0.97478992 0.02521008
## 874 Low 0.97478992 0.02521008
## 879 High 0.01933702 0.98066298
## 895 High 0.01933702 0.98066298
## 899 High 0.01933702 0.98066298
## 903 High 0.01933702 0.98066298
## 917 High 0.01933702 0.98066298
## 927 High 0.01933702 0.98066298
## 929 High 0.01933702 0.98066298
## 931 High 0.00000000 1.00000000
## 933 High 0.11904762 0.88095238
## 944 High 0.01933702 0.98066298
## 947 High 0.01933702 0.98066298
## 949 High 0.01933702 0.98066298
## 953 High 0.01933702 0.98066298
## 958 High 0.01933702 0.98066298
## 961 High 0.85714286 0.14285714
## 963 High 0.01933702 0.98066298
## 964 High 0.01933702 0.98066298
## 973 High 0.01933702 0.98066298
## 976 High 0.01933702 0.98066298
## 977 High 0.01933702 0.98066298
## 980 High 0.36363636 0.63636364
## 983 High 0.01933702 0.98066298
## 984 High 0.01933702 0.98066298
## 986 High 0.01933702 0.98066298
## 989 High 0.01933702 0.98066298
## 991 High 0.01933702 0.98066298
## 996 High 0.01933702 0.98066298
## 997 High 0.01933702 0.98066298
## 999 High 0.41176471 0.58823529
## 1000 High 0.01933702 0.98066298
## 1003 High 0.01933702 0.98066298
## 1008 High 0.01933702 0.98066298
## 1009 High 0.01933702 0.98066298
## 1014 High 0.01933702 0.98066298
## 1015 High 0.00000000 1.00000000
## 1040 High 0.01933702 0.98066298
## 1042 High 0.11904762 0.88095238
## 1043 High 0.01933702 0.98066298
## 1050 High 0.01933702 0.98066298
## 1052 High 0.01933702 0.98066298
## 1056 High 0.23076923 0.76923077
## 1070 High 0.11904762 0.88095238
## 1073 High 0.41176471 0.58823529
## 1074 High 0.01933702 0.98066298
## 1079 High 0.00000000 1.00000000
## 1080 High 0.11904762 0.88095238
## 1085 High 0.01933702 0.98066298
## 1087 High 0.22222222 0.77777778
## 1096 High 0.86111111 0.13888889
## 1099 High 0.00000000 1.00000000
## 1100 High 0.57142857 0.42857143
## 1102 High 0.23076923 0.76923077
## 1107 Low 1.00000000 0.00000000
## 1109 Low 0.95945946 0.04054054
## 1114 Low 0.28571429 0.71428571
## 1118 Low 0.00000000 1.00000000
## 1123 Low 0.96666667 0.03333333
## 1132 Low 0.22222222 0.77777778
## 1134 Low 1.00000000 0.00000000
## 1137 Low 1.00000000 0.00000000
## 1154 Low 0.94594595 0.05405405
## 1155 Low 1.00000000 0.00000000
## 1157 Low 0.95945946 0.04054054
## 1162 Low 0.97478992 0.02521008
## 1164 Low 1.00000000 0.00000000
## 1171 Low 0.95945946 0.04054054
## 1172 Low 0.94594595 0.05405405
## 1175 Low 0.95945946 0.04054054
## 1177 Low 0.94736842 0.05263158
## 1179 Low 0.96666667 0.03333333
## 1183 Low 1.00000000 0.00000000
## 1185 Low 0.95945946 0.04054054
## 1189 Low 0.95945946 0.04054054
## 1211 Low 0.97478992 0.02521008
## 1218 Low 0.47058824 0.52941176
## 1224 Low 1.00000000 0.00000000
## 1225 Low 1.00000000 0.00000000
## 1227 Low 0.95945946 0.04054054
## 1232 Low 0.95945946 0.04054054
## 1235 Low 0.46153846 0.53846154
## 1238 Low 0.95945946 0.04054054
## 1240 Low 0.96666667 0.03333333
## 1241 Low 0.97478992 0.02521008
## 1248 Low 0.97478992 0.02521008
## 1258 Low 0.94594595 0.05405405
## 1261 Low 0.97478992 0.02521008
## 1263 Low 0.97478992 0.02521008
## 1269 Low 0.96666667 0.03333333
## 1270 Low 0.86111111 0.13888889
## 1271 Low 0.97478992 0.02521008
## 1272 Low 0.97478992 0.02521008
## 1280 Low 0.97478992 0.02521008
## 1286 Low 0.97478992 0.02521008
## 1287 Low 0.97478992 0.02521008
## 1289 Low 0.97478992 0.02521008
## 1290 Low 0.97478992 0.02521008
## 1291 High 0.01933702 0.98066298
## 1294 High 0.11904762 0.88095238
## 1305 Low 0.95945946 0.04054054
## 1308 High 0.95945946 0.04054054##################################
# Reporting the independent evaluation results
# for the test set
##################################
CART_Test_ROC <- roc(response = CART_Test$CART_Observed,
predictor = CART_Test$CART_Predicted.High,
levels = rev(levels(CART_Test$CART_Observed)))
(CART_Test_ROCCurveAUC <- auc(CART_Test_ROC)[1])## [1] 0.94522821.5.12 Conditional Inference Trees (CTREE)
Conditional Inference Trees use recursive partitioning of features based on the value of correlations in conditional inference framework - compensating against overfitting and a selection bias towards features with many possible splits or missing values thus avoiding biasing and vulnerability to the errors making the method more flexible for the problems in the data. The algorithm applies a significance test which is a permutation test that selects input features to split and recurse, calculating the p-value in the process. The distribution of the test statistic under the null hypothesis is obtained by calculating all possible values of the test statistic under rearrangements of the classes on the observed data points.
[A] The conditional inference trees model from the party package was implemented through the caret package.
[B] The model contains 1 hyperparameter:
[B.1] mincriterion = 1-p-value threshold made to vary across a range of values equal to 0.75 to 0.99
[C] The cross-validated model performance of the final model is summarized as follows:
[C.1] Final model configuration involves mincriterion=0.95
[C.2] AUROC = 0.90967
[D] The model allows for ranking of predictors in terms of variable importance. The top-performing predictors in the model are as follows:
[D.1] MolWeight variable (numeric)
[D.2] NumCarbon variable (numeric)
[D.3] NumBonds variable (numeric)
[D.4] NumRings variable (numeric)
[D.5] NumMultBonds variable (numeric)
[E] The independent test model performance of the final model is summarized as follows:
[E.1] AUROC = 0.89647
Code Chunk | Output
##################################
# Creating a local object
# for the train and test sets
##################################
PMA_PreModelling_Train_CTREE <- PMA_PreModelling_Train
PMA_PreModelling_Test_CTREE <- PMA_PreModelling_Test
##################################
# Creating consistent fold assignments
# for the 10-Fold Cross Validation process
##################################
set.seed(12345678)
KFold_Indices <- createFolds(PMA_PreModelling_Train_CTREE$Log_Solubility_Class,
k = 10,
returnTrain=TRUE)
KFold_Control <- trainControl(method="cv",
index=KFold_Indices,
summaryFunction = twoClassSummary,
classProbs = TRUE)
##################################
# Setting the conditions
# for hyperparameter tuning
##################################
CTREE_Grid = data.frame(mincriterion = sort(c(0.95, seq(0.75, 0.99, length = 2))))
##################################
# Running the conditional inference trees model
# by setting the caret method to 'ctree'
##################################
set.seed(12345678)
CTREE_Tune <- train(x = PMA_PreModelling_Train_CTREE[,!names(PMA_PreModelling_Train_CTREE) %in% c("Log_Solubility_Class")],
y = PMA_PreModelling_Train_CTREE$Log_Solubility_Class,
method = "ctree",
tuneGrid = CTREE_Grid,
metric = "ROC",
trControl = KFold_Control)
##################################
# Reporting the cross-validation results
# for the train set
##################################
CTREE_Tune## Conditional Inference Tree
##
## 951 samples
## 220 predictors
## 2 classes: 'Low', 'High'
##
## No pre-processing
## Resampling: Cross-Validated (10 fold)
## Summary of sample sizes: 857, 855, 857, 855, 856, 856, ...
## Resampling results across tuning parameters:
##
## mincriterion ROC Sens Spec
## 0.75 0.9074458 0.8639535 0.8357402
## 0.95 0.9096727 0.8780731 0.8168723
## 0.99 0.9040982 0.8993909 0.7977866
##
## ROC was used to select the optimal model using the largest value.
## The final value used for the model was mincriterion = 0.95.CTREE_Tune$finalModel##
## Conditional inference tree with 18 terminal nodes
##
## Response: .outcome
## Inputs: FP001, FP002, FP003, FP004, FP005, FP006, FP007, FP008, FP009, FP010, FP011, FP012, FP013, FP014, FP015, FP016, FP017, FP018, FP019, FP020, FP021, FP022, FP023, FP024, FP025, FP026, FP027, FP028, FP029, FP030, FP031, FP032, FP033, FP034, FP035, FP036, FP037, FP038, FP039, FP040, FP041, FP042, FP043, FP044, FP045, FP046, FP047, FP048, FP049, FP050, FP051, FP052, FP053, FP054, FP055, FP056, FP057, FP058, FP059, FP060, FP061, FP062, FP063, FP064, FP065, FP066, FP067, FP068, FP069, FP070, FP071, FP072, FP073, FP074, FP075, FP076, FP077, FP078, FP079, FP080, FP081, FP082, FP083, FP084, FP085, FP086, FP087, FP088, FP089, FP090, FP091, FP092, FP093, FP094, FP095, FP096, FP097, FP098, FP099, FP100, FP101, FP102, FP103, FP104, FP105, FP106, FP107, FP108, FP109, FP110, FP111, FP112, FP113, FP114, FP115, FP116, FP117, FP118, FP119, FP120, FP121, FP122, FP123, FP124, FP125, FP126, FP127, FP128, FP129, FP130, FP131, FP132, FP133, FP134, FP135, FP136, FP137, FP138, FP139, FP140, FP141, FP142, FP143, FP144, FP145, FP146, FP147, FP148, FP149, FP150, FP151, FP152, FP153, FP155, FP156, FP157, FP158, FP159, FP160, FP161, FP162, FP163, FP164, FP165, FP166, FP167, FP168, FP169, FP170, FP171, FP172, FP173, FP174, FP175, FP176, FP177, FP178, FP179, FP180, FP181, FP182, FP183, FP184, FP185, FP186, FP187, FP188, FP189, FP190, FP191, FP192, FP193, FP194, FP195, FP196, FP197, FP198, FP201, FP202, FP203, FP204, FP205, FP206, FP207, FP208, MolWeight, NumBonds, NumMultBonds, NumRotBonds, NumDblBonds, NumCarbon, NumNitrogen, NumOxygen, NumSulfer, NumChlorine, NumHalogen, NumRings, HydrophilicFactor, SurfaceArea1, SurfaceArea2
## Number of observations: 951
##
## 1) MolWeight <= 0.2222905; criterion = 1, statistic = 322.106
## 2) FP072 == {0}; criterion = 1, statistic = 98.274
## 3) NumCarbon <= -0.4425175; criterion = 1, statistic = 60.278
## 4) FP172 == {0}; criterion = 1, statistic = 25.438
## 5) FP050 == {1}; criterion = 1, statistic = 30.749
## 6)* weights = 19
## 5) FP050 == {0}
## 7)* weights = 103
## 4) FP172 == {1}
## 8)* weights = 12
## 3) NumCarbon > -0.4425175
## 9) NumNitrogen <= -0.685246; criterion = 1, statistic = 34.514
## 10)* weights = 45
## 9) NumNitrogen > -0.685246
## 11)* weights = 29
## 2) FP072 == {1}
## 12) FP059 == {0}; criterion = 1, statistic = 78.968
## 13) NumCarbon <= 0.1817764; criterion = 1, statistic = 25.002
## 14)* weights = 302
## 13) NumCarbon > 0.1817764
## 15)* weights = 10
## 12) FP059 == {1}
## 16)* weights = 22
## 1) MolWeight > 0.2222905
## 17) FP075 == {0}; criterion = 1, statistic = 40.657
## 18) FP171 == {1}; criterion = 0.998, statistic = 19.88
## 19) NumCarbon <= 0.3642386; criterion = 0.995, statistic = 17.87
## 20)* weights = 11
## 19) NumCarbon > 0.3642386
## 21)* weights = 24
## 18) FP171 == {0}
## 22) FP025 == {1}; criterion = 1, statistic = 31.349
## 23)* weights = 26
## 22) FP025 == {0}
## 24) FP126 == {1}; criterion = 0.994, statistic = 23.836
## 25)* weights = 10
## 24) FP126 == {0}
## 26) FP055 == {1}; criterion = 0.99, statistic = 16.625
## 27)* weights = 8
## 26) FP055 == {0}
## 28)* weights = 133
## 17) FP075 == {1}
## 29) FP061 == {0}; criterion = 0.996, statistic = 18.375
## 30)* weights = 47
## 29) FP061 == {1}
## 31) MolWeight <= 0.6620108; criterion = 0.996, statistic = 18.221
## 32)* weights = 38
## 31) MolWeight > 0.6620108
## 33) FP198 == {0}; criterion = 0.997, statistic = 18.785
## 34)* weights = 104
## 33) FP198 == {1}
## 35)* weights = 8CTREE_Tune$results## mincriterion ROC Sens Spec ROCSD SensSD SpecSD
## 1 0.75 0.9074458 0.8639535 0.8357402 0.01513588 0.07335027 0.05733407
## 2 0.95 0.9096727 0.8780731 0.8168723 0.01486612 0.07203564 0.06543021
## 3 0.99 0.9040982 0.8993909 0.7977866 0.01746151 0.03982612 0.05232463(CTREE_Train_ROCCurveAUC <- CTREE_Tune$results[CTREE_Tune$results$mincriterion==CTREE_Tune$bestTune$mincriterion,
c("ROC")])## [1] 0.9096727##################################
# Identifying and plotting the
# best model predictors
##################################
CTREE_VarImp <- varImp(CTREE_Tune, scale = TRUE)
plot(CTREE_VarImp,
top=25,
scales=list(y=list(cex = .95)),
main="Ranked Variable Importance : Conditional Inference Trees",
xlab="Scaled Variable Importance Metrics",
ylab="Predictors",
cex=2,
origin=0,
alpha=0.45)
##################################
# Independently evaluating the model
# on the test set
##################################
CTREE_Test <- data.frame(CTREE_Observed = PMA_PreModelling_Test_CTREE$Log_Solubility_Class,
CTREE_Predicted = predict(CTREE_Tune,
PMA_PreModelling_Test_CTREE[,!names(PMA_PreModelling_Test_CTREE) %in% c("Log_Solubility_Class")],
type = "prob"))
CTREE_Test## CTREE_Observed CTREE_Predicted.Low CTREE_Predicted.High
## 1 High 0.01986755 0.98013245
## 2 High 0.01986755 0.98013245
## 3 High 0.01986755 0.98013245
## 4 High 0.09708738 0.90291262
## 5 High 0.01986755 0.98013245
## 6 High 0.01986755 0.98013245
## 7 High 0.01986755 0.98013245
## 8 High 0.01986755 0.98013245
## 9 High 0.01986755 0.98013245
## 10 High 0.09708738 0.90291262
## 11 High 0.09708738 0.90291262
## 12 High 0.60000000 0.40000000
## 13 High 0.01986755 0.98013245
## 14 High 0.01986755 0.98013245
## 15 High 0.09708738 0.90291262
## 16 High 0.09708738 0.90291262
## 17 High 0.01986755 0.98013245
## 18 High 0.01986755 0.98013245
## 19 High 0.01986755 0.98013245
## 20 High 0.09708738 0.90291262
## 21 High 0.01986755 0.98013245
## 22 High 0.09708738 0.90291262
## 23 High 0.01986755 0.98013245
## 24 High 0.09708738 0.90291262
## 25 High 0.01986755 0.98013245
## 26 High 0.09708738 0.90291262
## 27 High 0.54545455 0.45454545
## 28 High 0.01986755 0.98013245
## 29 High 0.00000000 1.00000000
## 30 High 0.54545455 0.45454545
## 31 High 0.89361702 0.10638298
## 32 High 0.01986755 0.98013245
## 33 High 0.01986755 0.98013245
## 34 High 0.01986755 0.98013245
## 35 High 0.01986755 0.98013245
## 36 High 0.01986755 0.98013245
## 37 High 0.01986755 0.98013245
## 38 High 0.01986755 0.98013245
## 39 High 0.01986755 0.98013245
## 40 High 0.01986755 0.98013245
## 41 High 0.01986755 0.98013245
## 42 High 0.83333333 0.16666667
## 43 High 0.01986755 0.98013245
## 44 High 0.01986755 0.98013245
## 45 High 0.01986755 0.98013245
## 46 High 0.09708738 0.90291262
## 47 High 0.01986755 0.98013245
## 48 High 0.01986755 0.98013245
## 49 High 0.09708738 0.90291262
## 50 High 0.01986755 0.98013245
## 51 High 0.01986755 0.98013245
## 52 High 0.09708738 0.90291262
## 53 High 0.01986755 0.98013245
## 54 High 0.01986755 0.98013245
## 55 High 0.01986755 0.98013245
## 56 High 0.01986755 0.98013245
## 57 High 0.09708738 0.90291262
## 58 High 0.01986755 0.98013245
## 59 High 0.01986755 0.98013245
## 60 High 0.41379310 0.58620690
## 61 High 0.01986755 0.98013245
## 62 High 0.09708738 0.90291262
## 63 High 0.01986755 0.98013245
## 64 High 0.01986755 0.98013245
## 65 High 0.01986755 0.98013245
## 66 High 0.89361702 0.10638298
## 67 High 0.60000000 0.40000000
## 68 High 0.01986755 0.98013245
## 69 High 0.01986755 0.98013245
## 70 High 0.01986755 0.98013245
## 71 High 0.89361702 0.10638298
## 72 High 0.13157895 0.86842105
## 73 High 0.54545455 0.45454545
## 74 High 0.69230769 0.30769231
## 75 High 0.41379310 0.58620690
## 76 High 0.09090909 0.90909091
## 77 High 0.13157895 0.86842105
## 78 High 0.01986755 0.98013245
## 79 High 0.01986755 0.98013245
## 80 High 1.00000000 0.00000000
## 81 High 0.01986755 0.98013245
## 82 High 0.01986755 0.98013245
## 83 High 0.54545455 0.45454545
## 84 High 0.01986755 0.98013245
## 85 High 0.41379310 0.58620690
## 86 High 0.01986755 0.98013245
## 87 High 0.41379310 0.58620690
## 88 High 0.60000000 0.40000000
## 89 High 0.09708738 0.90291262
## 90 High 0.54545455 0.45454545
## 91 High 0.01986755 0.98013245
## 92 High 0.60000000 0.40000000
## 93 High 0.01986755 0.98013245
## 94 High 0.01986755 0.98013245
## 95 High 0.09708738 0.90291262
## 96 High 0.01986755 0.98013245
## 97 High 0.09708738 0.90291262
## 98 High 0.89361702 0.10638298
## 99 High 0.01986755 0.98013245
## 100 High 0.09708738 0.90291262
## 101 High 0.09708738 0.90291262
## 102 High 0.01986755 0.98013245
## 103 High 0.41379310 0.58620690
## 104 High 0.01986755 0.98013245
## 105 High 0.63157895 0.36842105
## 106 High 0.89361702 0.10638298
## 107 High 0.83333333 0.16666667
## 108 High 0.41379310 0.58620690
## 109 High 0.74038462 0.25961538
## 110 High 0.74038462 0.25961538
## 111 High 0.13157895 0.86842105
## 112 High 0.01986755 0.98013245
## 113 High 0.13157895 0.86842105
## 114 High 0.74038462 0.25961538
## 115 High 0.74038462 0.25961538
## 116 High 0.89361702 0.10638298
## 117 High 0.89361702 0.10638298
## 118 High 0.69230769 0.30769231
## 119 Low 1.00000000 0.00000000
## 120 Low 0.74038462 0.25961538
## 121 Low 0.89361702 0.10638298
## 122 Low 0.01986755 0.98013245
## 123 Low 0.87500000 0.12500000
## 124 Low 0.09708738 0.90291262
## 125 Low 0.89361702 0.10638298
## 126 Low 0.89361702 0.10638298
## 127 Low 0.63157895 0.36842105
## 128 Low 0.89361702 0.10638298
## 129 Low 0.63157895 0.36842105
## 130 Low 1.00000000 0.00000000
## 131 Low 0.41379310 0.58620690
## 132 Low 0.74038462 0.25961538
## 133 Low 0.74038462 0.25961538
## 134 Low 0.89361702 0.10638298
## 135 Low 1.00000000 0.00000000
## 136 Low 1.00000000 0.00000000
## 137 Low 0.69230769 0.30769231
## 138 Low 0.41379310 0.58620690
## 139 Low 0.63157895 0.36842105
## 140 Low 0.01986755 0.98013245
## 141 Low 1.00000000 0.00000000
## 142 Low 0.69230769 0.30769231
## 143 Low 1.00000000 0.00000000
## 144 Low 0.89361702 0.10638298
## 145 Low 0.60000000 0.40000000
## 146 Low 0.41379310 0.58620690
## 147 Low 0.74038462 0.25961538
## 148 Low 1.00000000 0.00000000
## 149 Low 0.54545455 0.45454545
## 150 Low 0.83333333 0.16666667
## 151 Low 0.00000000 1.00000000
## 152 Low 0.74038462 0.25961538
## 153 Low 0.09708738 0.90291262
## 154 Low 0.41379310 0.58620690
## 155 Low 1.00000000 0.00000000
## 156 Low 0.09090909 0.90909091
## 157 Low 0.41379310 0.58620690
## 158 Low 0.74038462 0.25961538
## 159 Low 0.63157895 0.36842105
## 160 Low 0.87500000 0.12500000
## 161 Low 0.41379310 0.58620690
## 162 Low 0.87500000 0.12500000
## 163 Low 0.89361702 0.10638298
## 164 Low 1.00000000 0.00000000
## 165 Low 0.80000000 0.20000000
## 166 Low 0.41379310 0.58620690
## 167 Low 0.89361702 0.10638298
## 168 Low 0.74038462 0.25961538
## 169 Low 0.41379310 0.58620690
## 170 Low 1.00000000 0.00000000
## 171 Low 0.74038462 0.25961538
## 172 Low 0.41379310 0.58620690
## 173 Low 1.00000000 0.00000000
## 174 Low 0.69230769 0.30769231
## 175 Low 1.00000000 0.00000000
## 176 Low 1.00000000 0.00000000
## 177 Low 0.74038462 0.25961538
## 178 Low 1.00000000 0.00000000
## 179 Low 1.00000000 0.00000000
## 180 Low 0.41379310 0.58620690
## 181 Low 1.00000000 0.00000000
## 182 Low 0.60000000 0.40000000
## 183 Low 0.41379310 0.58620690
## 184 Low 1.00000000 0.00000000
## 185 Low 1.00000000 0.00000000
## 186 Low 0.89361702 0.10638298
## 187 Low 0.87500000 0.12500000
## 188 Low 1.00000000 0.00000000
## 189 Low 1.00000000 0.00000000
## 190 Low 0.41379310 0.58620690
## 191 Low 0.87500000 0.12500000
## 192 Low 0.60000000 0.40000000
## 193 Low 1.00000000 0.00000000
## 194 Low 1.00000000 0.00000000
## 195 Low 1.00000000 0.00000000
## 196 Low 1.00000000 0.00000000
## 197 Low 1.00000000 0.00000000
## 198 Low 1.00000000 0.00000000
## 199 Low 1.00000000 0.00000000
## 200 Low 0.74038462 0.25961538
## 201 Low 1.00000000 0.00000000
## 202 Low 1.00000000 0.00000000
## 203 Low 1.00000000 0.00000000
## 204 Low 1.00000000 0.00000000
## 205 Low 0.41379310 0.58620690
## 206 Low 1.00000000 0.00000000
## 207 Low 0.74038462 0.25961538
## 208 Low 0.41379310 0.58620690
## 209 Low 1.00000000 0.00000000
## 210 Low 0.95833333 0.04166667
## 211 Low 1.00000000 0.00000000
## 212 Low 1.00000000 0.00000000
## 213 Low 1.00000000 0.00000000
## 214 Low 1.00000000 0.00000000
## 215 Low 1.00000000 0.00000000
## 216 Low 1.00000000 0.00000000
## 217 High 0.01986755 0.98013245
## 218 High 0.01986755 0.98013245
## 219 High 0.09708738 0.90291262
## 220 High 0.01986755 0.98013245
## 221 High 0.01986755 0.98013245
## 222 High 0.01986755 0.98013245
## 223 High 0.01986755 0.98013245
## 224 High 0.01986755 0.98013245
## 225 High 0.80000000 0.20000000
## 226 High 0.09708738 0.90291262
## 227 High 0.01986755 0.98013245
## 228 High 0.01986755 0.98013245
## 229 High 0.01986755 0.98013245
## 230 High 0.01986755 0.98013245
## 231 High 0.63157895 0.36842105
## 232 High 0.01986755 0.98013245
## 233 High 0.01986755 0.98013245
## 234 High 0.09708738 0.90291262
## 235 High 0.09708738 0.90291262
## 236 High 0.01986755 0.98013245
## 237 High 0.89361702 0.10638298
## 238 High 0.01986755 0.98013245
## 239 High 0.01986755 0.98013245
## 240 High 0.01986755 0.98013245
## 241 High 0.01986755 0.98013245
## 242 High 0.09708738 0.90291262
## 243 High 0.09708738 0.90291262
## 244 High 0.09708738 0.90291262
## 245 High 0.83333333 0.16666667
## 246 High 0.01986755 0.98013245
## 247 High 0.09708738 0.90291262
## 248 High 0.01986755 0.98013245
## 249 High 0.01986755 0.98013245
## 250 High 0.41379310 0.58620690
## 251 High 0.13157895 0.86842105
## 252 High 0.01986755 0.98013245
## 253 High 0.13157895 0.86842105
## 254 High 0.41379310 0.58620690
## 255 High 0.01986755 0.98013245
## 256 High 0.09708738 0.90291262
## 257 High 0.74038462 0.25961538
## 258 High 0.13157895 0.86842105
## 259 High 0.09708738 0.90291262
## 260 High 0.09708738 0.90291262
## 261 High 0.01986755 0.98013245
## 262 High 0.60000000 0.40000000
## 263 High 0.09708738 0.90291262
## 264 High 0.60000000 0.40000000
## 265 High 0.89361702 0.10638298
## 266 High 0.13157895 0.86842105
## 267 High 0.60000000 0.40000000
## 268 High 0.13157895 0.86842105
## 269 Low 0.41379310 0.58620690
## 270 Low 0.87500000 0.12500000
## 271 Low 0.41379310 0.58620690
## 272 Low 0.41379310 0.58620690
## 273 Low 0.74038462 0.25961538
## 274 Low 0.60000000 0.40000000
## 275 Low 0.95833333 0.04166667
## 276 Low 0.83333333 0.16666667
## 277 Low 1.00000000 0.00000000
## 278 Low 0.89361702 0.10638298
## 279 Low 1.00000000 0.00000000
## 280 Low 0.41379310 0.58620690
## 281 Low 0.09708738 0.90291262
## 282 Low 1.00000000 0.00000000
## 283 Low 1.00000000 0.00000000
## 284 Low 0.69230769 0.30769231
## 285 Low 0.54545455 0.45454545
## 286 Low 0.74038462 0.25961538
## 287 Low 0.63157895 0.36842105
## 288 Low 0.95833333 0.04166667
## 289 Low 0.95833333 0.04166667
## 290 Low 0.41379310 0.58620690
## 291 Low 0.74038462 0.25961538
## 292 Low 0.83333333 0.16666667
## 293 Low 0.41379310 0.58620690
## 294 Low 0.95833333 0.04166667
## 295 Low 1.00000000 0.00000000
## 296 Low 1.00000000 0.00000000
## 297 Low 0.87500000 0.12500000
## 298 Low 0.74038462 0.25961538
## 299 Low 0.41379310 0.58620690
## 300 Low 0.41379310 0.58620690
## 301 Low 0.74038462 0.25961538
## 302 Low 1.00000000 0.00000000
## 303 Low 1.00000000 0.00000000
## 304 Low 0.74038462 0.25961538
## 305 Low 0.74038462 0.25961538
## 306 Low 1.00000000 0.00000000
## 307 Low 1.00000000 0.00000000
## 308 Low 1.00000000 0.00000000
## 309 Low 1.00000000 0.00000000
## 310 Low 1.00000000 0.00000000
## 311 Low 1.00000000 0.00000000
## 312 Low 1.00000000 0.00000000
## 313 High 0.01986755 0.98013245
## 314 High 0.60000000 0.40000000
## 315 Low 0.87500000 0.12500000
## 316 High 0.95833333 0.04166667##################################
# Reporting the independent evaluation results
# for the test set
##################################
CTREE_Test_ROC <- roc(response = CTREE_Test$CTREE_Observed,
predictor = CTREE_Test$CTREE_Predicted.High,
levels = rev(levels(CTREE_Test$CTREE_Observed)))
(CTREE_Test_ROCCurveAUC <- auc(CTREE_Test_ROC)[1])## [1] 0.89647921.5.13 C5.0 Decision Trees (C50)
C5.0 Decision Trees generate multi-branch trees in a situation where one or more nominal inputs are given, using an information-based criterion (Entropy and Information Gain) as an attribute selection measure to build decision trees. For overfitting avoidance, the algorithm applies a pessimistic pruning approach called Rule-post pruning, to remove unreliable branches from the decision tree to reduce the size of the tree without any loss of its predictive accuracy. The Rule-post pruning starts off by converting a decision tree to an equivalent set of rules, then based on statistical confidence estimations for error rate it evaluates the rules with the aim of simplifying them without affecting the accuracy, adopting the Binomial Confidence Limit method. In a case of handling missing values, the algorithm allows to whether estimate missing values as a function of other attributes or apportions the case probabilistically among the results.
[A] The C5.0 decision trees model from the C50 and plyr packages was implemented through the caret package.
[B] The model contains 3 hyperparameters:
[B.1] trials = number of boosting iterations made to vary across a range of values equal to 1 to 100
[B.2] model = model type made to vary across a range of levels equal to TREE and RULES
[B.3] winnow = winnow made to vary across a range of levels equal to TRUE and FALSE
[C] The cross-validated model performance of the final model is summarized as follows:
[C.1] Final model configuration involves trials=40, method=RULES and winnow=FALSE
[C.2] AUROC = 0.96540
[D] The model allows for ranking of predictors in terms of variable importance. The top-performing predictors in the model are as follows:
[D.1] NumBonds variable (numeric)
[D.2] HydrophilicFactor variable (numeric)
[D.3] NumCarbon variable (numeric)
[D.4] Molweight variable (numeric)
[D.5] FP197 variable (factor)
[E] The independent test model performance of the final model is summarized as follows:
[E.1] AUROC = 0.97635
Code Chunk | Output
##################################
# Creating a local object
# for the train and test sets
##################################
PMA_PreModelling_Train_C50 <- PMA_PreModelling_Train
PMA_PreModelling_Test_C50 <- PMA_PreModelling_Test
##################################
# Creating consistent fold assignments
# for the 10-Fold Cross Validation process
##################################
set.seed(12345678)
KFold_Indices <- createFolds(PMA_PreModelling_Train_C50$Log_Solubility_Class,
k = 10,
returnTrain=TRUE)
KFold_Control <- trainControl(method="cv",
index=KFold_Indices,
summaryFunction = twoClassSummary,
classProbs = TRUE)
##################################
# Setting the conditions
# for hyperparameter tuning
##################################
C50_Grid = expand.grid(trials = c(1:9, (1:10)*10),
model = c("tree", "rules"),
winnow = c(TRUE, FALSE))
##################################
# Running the C5.0 decision trees model
# by setting the caret method to 'C5.0'
##################################
set.seed(12345678)
C50_Tune <- train(x = PMA_PreModelling_Train_C50[,!names(PMA_PreModelling_Train_C50) %in% c("Log_Solubility_Class")],
y = PMA_PreModelling_Train_C50$Log_Solubility_Class,
method = "C5.0",
tuneGrid = C50_Grid,
metric = "ROC",
trControl = KFold_Control)
##################################
# Reporting the cross-validation results
# for the train set
##################################
C50_Tune## C5.0
##
## 951 samples
## 220 predictors
## 2 classes: 'Low', 'High'
##
## No pre-processing
## Resampling: Cross-Validated (10 fold)
## Summary of sample sizes: 857, 855, 857, 855, 856, 856, ...
## Resampling results across tuning parameters:
##
## model winnow trials ROC Sens Spec
## rules FALSE 1 0.8754712 0.8523256 0.8663280
## rules FALSE 2 0.9139992 0.8802326 0.8586357
## rules FALSE 3 0.9312186 0.8497785 0.8817852
## rules FALSE 4 0.9418542 0.8803987 0.8645138
## rules FALSE 5 0.9495156 0.8756368 0.8760160
## rules FALSE 6 0.9545297 0.9013843 0.8721335
## rules FALSE 7 0.9540497 0.8942414 0.8702830
## rules FALSE 8 0.9556435 0.9176633 0.8702467
## rules FALSE 9 0.9545048 0.9128461 0.8721698
## rules FALSE 10 0.9553917 0.9011074 0.8740566
## rules FALSE 20 0.9627843 0.9059801 0.8837083
## rules FALSE 30 0.9642571 0.9082503 0.8799347
## rules FALSE 40 0.9654007 0.9155039 0.8837808
## rules FALSE 50 0.9645413 0.9153931 0.8799710
## rules FALSE 60 0.9638177 0.9083610 0.8837808
## rules FALSE 70 0.9640453 0.9083056 0.8799347
## rules FALSE 80 0.9635541 0.9153378 0.8799347
## rules FALSE 90 0.9642681 0.9200997 0.8799347
## rules FALSE 100 0.9634606 0.9200997 0.8799347
## rules TRUE 1 0.8925361 0.8569214 0.8912554
## rules TRUE 2 0.9101197 0.8546512 0.8645864
## rules TRUE 3 0.9273596 0.8497231 0.8875181
## rules TRUE 4 0.9358808 0.8781285 0.8799710
## rules TRUE 5 0.9428694 0.8827796 0.8912917
## rules TRUE 6 0.9440485 0.8803433 0.8779753
## rules TRUE 7 0.9466928 0.8803433 0.8799347
## rules TRUE 8 0.9498695 0.8921373 0.8894412
## rules TRUE 9 0.9506061 0.8850498 0.8837083
## rules TRUE 10 0.9528304 0.8827243 0.8799347
## rules TRUE 20 0.9609361 0.8898117 0.8818578
## rules TRUE 30 0.9613386 0.8898671 0.8894775
## rules TRUE 40 0.9617762 0.8945183 0.8875544
## rules TRUE 50 0.9610015 0.8921927 0.8913643
## rules TRUE 60 0.9604662 0.8945736 0.8875181
## rules TRUE 70 0.9610535 0.8899225 0.8856313
## rules TRUE 80 0.9615022 0.8852159 0.8875544
## rules TRUE 90 0.9608758 0.8898671 0.8837446
## rules TRUE 100 0.9606082 0.8921927 0.8818215
## tree FALSE 1 0.9251507 0.8590255 0.8644775
## tree FALSE 2 0.9242512 0.8382614 0.8816401
## tree FALSE 3 0.9375375 0.8686600 0.8817126
## tree FALSE 4 0.9466693 0.8684939 0.8873367
## tree FALSE 5 0.9505678 0.8826689 0.8816038
## tree FALSE 6 0.9514910 0.8991141 0.8759071
## tree FALSE 7 0.9533817 0.8944075 0.8855225
## tree FALSE 8 0.9527229 0.8896456 0.8760160
## tree FALSE 9 0.9539725 0.8733112 0.8855588
## tree FALSE 10 0.9546979 0.8920266 0.8817489
## tree FALSE 20 0.9591829 0.8897564 0.8970972
## tree FALSE 30 0.9611743 0.8967331 0.8989840
## tree FALSE 40 0.9609107 0.8967885 0.8914006
## tree FALSE 50 0.9629556 0.8944629 0.8952104
## tree FALSE 60 0.9620595 0.8944075 0.8932874
## tree FALSE 70 0.9628225 0.8991141 0.8971335
## tree FALSE 80 0.9627740 0.8873754 0.8971335
## tree FALSE 90 0.9635952 0.8897010 0.8933237
## tree FALSE 100 0.9631377 0.8873200 0.8933237
## tree TRUE 1 0.9282666 0.8379845 0.8665094
## tree TRUE 2 0.9102836 0.8359911 0.8951016
## tree TRUE 3 0.9277501 0.8544297 0.8856313
## tree TRUE 4 0.9364175 0.8522702 0.8894412
## tree TRUE 5 0.9426873 0.8595238 0.8894049
## tree TRUE 6 0.9476441 0.8568660 0.9027576
## tree TRUE 7 0.9503419 0.8593023 0.8836357
## tree TRUE 8 0.9532930 0.8686047 0.8914006
## tree TRUE 9 0.9534653 0.8756921 0.8875907
## tree TRUE 10 0.9533833 0.8593023 0.8952467
## tree TRUE 20 0.9564897 0.8734773 0.8895138
## tree TRUE 30 0.9586314 0.8759136 0.8876270
## tree TRUE 40 0.9597348 0.8759136 0.8856676
## tree TRUE 50 0.9607841 0.8781838 0.8837808
## tree TRUE 60 0.9599619 0.8782946 0.8876270
## tree TRUE 70 0.9598905 0.8875969 0.8876270
## tree TRUE 80 0.9594845 0.8829457 0.8876270
## tree TRUE 90 0.9597357 0.8829457 0.8914369
## tree TRUE 100 0.9595649 0.8806202 0.8914369
##
## ROC was used to select the optimal model using the largest value.
## The final values used for the model were trials = 40, model = rules and
## winnow = FALSE.C50_Tune$finalModel##
## Call:
## (function (x, y, trials = 1, rules = FALSE, weights = NULL, control
## 1.23060333905164, -0.309270049682714, -1.07920674404989,
## 2.00054003341881, 2.00054
##
## Rule-Based Model
## Number of samples: 951
## Number of predictors: 220
##
## Number of boosting iterations: 40
## Average number of rules: 24.1
##
## Non-standard options: attempt to group attributesC50_Tune$results## model winnow trials ROC Sens Spec ROCSD SensSD
## 39 rules FALSE 1 0.8754712 0.8523256 0.8663280 0.020123929 0.06921646
## 58 rules TRUE 1 0.8925361 0.8569214 0.8912554 0.028081192 0.05063962
## 1 tree FALSE 1 0.9251507 0.8590255 0.8644775 0.027267901 0.08010132
## 20 tree TRUE 1 0.9282666 0.8379845 0.8665094 0.019019183 0.06949847
## 40 rules FALSE 2 0.9139992 0.8802326 0.8586357 0.024519619 0.06104610
## 59 rules TRUE 2 0.9101197 0.8546512 0.8645864 0.019574620 0.04723783
## 2 tree FALSE 2 0.9242512 0.8382614 0.8816401 0.019890210 0.08680223
## 21 tree TRUE 2 0.9102836 0.8359911 0.8951016 0.016535669 0.06036470
## 41 rules FALSE 3 0.9312186 0.8497785 0.8817852 0.022697450 0.06209568
## 60 rules TRUE 3 0.9273596 0.8497231 0.8875181 0.022338765 0.07100797
## 3 tree FALSE 3 0.9375375 0.8686600 0.8817126 0.012717207 0.06484938
## 22 tree TRUE 3 0.9277501 0.8544297 0.8856313 0.017687438 0.05720028
## 42 rules FALSE 4 0.9418542 0.8803987 0.8645138 0.020462972 0.06749559
## 61 rules TRUE 4 0.9358808 0.8781285 0.8799710 0.021582812 0.05505165
## 4 tree FALSE 4 0.9466693 0.8684939 0.8873367 0.013042441 0.07670975
## 23 tree TRUE 4 0.9364175 0.8522702 0.8894412 0.018550163 0.04208341
## 43 rules FALSE 5 0.9495156 0.8756368 0.8760160 0.016756734 0.05804377
## 62 rules TRUE 5 0.9428694 0.8827796 0.8912917 0.024728078 0.05877042
## 5 tree FALSE 5 0.9505678 0.8826689 0.8816038 0.012228006 0.05352303
## 24 tree TRUE 5 0.9426873 0.8595238 0.8894049 0.017064601 0.04101446
## 44 rules FALSE 6 0.9545297 0.9013843 0.8721335 0.016486902 0.05439803
## 63 rules TRUE 6 0.9440485 0.8803433 0.8779753 0.020479258 0.04784632
## 6 tree FALSE 6 0.9514910 0.8991141 0.8759071 0.014782063 0.04844165
## 25 tree TRUE 6 0.9476441 0.8568660 0.9027576 0.015478762 0.04969921
## 45 rules FALSE 7 0.9540497 0.8942414 0.8702830 0.015353099 0.06616054
## 64 rules TRUE 7 0.9466928 0.8803433 0.8799347 0.018837204 0.04796721
## 7 tree FALSE 7 0.9533817 0.8944075 0.8855225 0.013925129 0.03774449
## 26 tree TRUE 7 0.9503419 0.8593023 0.8836357 0.013041675 0.03730181
## 46 rules FALSE 8 0.9556435 0.9176633 0.8702467 0.012386967 0.05410264
## 65 rules TRUE 8 0.9498695 0.8921373 0.8894412 0.017867684 0.03907638
## 8 tree FALSE 8 0.9527229 0.8896456 0.8760160 0.013035417 0.04781327
## 27 tree TRUE 8 0.9532930 0.8686047 0.8914006 0.013194317 0.04112726
## 47 rules FALSE 9 0.9545048 0.9128461 0.8721698 0.012901729 0.06448717
## 66 rules TRUE 9 0.9506061 0.8850498 0.8837083 0.017884983 0.04383931
## 9 tree FALSE 9 0.9539725 0.8733112 0.8855588 0.013237853 0.04919251
## 28 tree TRUE 9 0.9534653 0.8756921 0.8875907 0.012363399 0.03013779
## 48 rules FALSE 10 0.9553917 0.9011074 0.8740566 0.012931834 0.07000687
## 67 rules TRUE 10 0.9528304 0.8827243 0.8799347 0.018159244 0.03378669
## 10 tree FALSE 10 0.9546979 0.8920266 0.8817489 0.012619546 0.03776971
## 29 tree TRUE 10 0.9533833 0.8593023 0.8952467 0.012330017 0.03887943
## 49 rules FALSE 20 0.9627843 0.9059801 0.8837083 0.013959967 0.04911489
## 68 rules TRUE 20 0.9609361 0.8898117 0.8818578 0.013828196 0.02541040
## 11 tree FALSE 20 0.9591829 0.8897564 0.8970972 0.011906887 0.04475922
## 30 tree TRUE 20 0.9564897 0.8734773 0.8895138 0.013299528 0.04018987
## 50 rules FALSE 30 0.9642571 0.9082503 0.8799347 0.010351842 0.04997863
## 69 rules TRUE 30 0.9613386 0.8898671 0.8894775 0.011839750 0.03986066
## 12 tree FALSE 30 0.9611743 0.8967331 0.8989840 0.009945763 0.04383624
## 31 tree TRUE 30 0.9586314 0.8759136 0.8876270 0.014027718 0.04425405
## 51 rules FALSE 40 0.9654007 0.9155039 0.8837808 0.010938803 0.04200514
## 70 rules TRUE 40 0.9617762 0.8945183 0.8875544 0.012147590 0.03716347
## 13 tree FALSE 40 0.9609107 0.8967885 0.8914006 0.009378583 0.05232563
## 32 tree TRUE 40 0.9597348 0.8759136 0.8856676 0.012918611 0.03813811
## 52 rules FALSE 50 0.9645413 0.9153931 0.8799710 0.010353401 0.03796026
## 71 rules TRUE 50 0.9610015 0.8921927 0.8913643 0.010740704 0.03536434
## 14 tree FALSE 50 0.9629556 0.8944629 0.8952104 0.010039726 0.05233930
## 33 tree TRUE 50 0.9607841 0.8781838 0.8837808 0.013422075 0.03446569
## 53 rules FALSE 60 0.9638177 0.9083610 0.8837808 0.010354489 0.04701664
## 72 rules TRUE 60 0.9604662 0.8945736 0.8875181 0.011801838 0.03532497
## 15 tree FALSE 60 0.9620595 0.8944075 0.8932874 0.010122127 0.04384929
## 34 tree TRUE 60 0.9599619 0.8782946 0.8876270 0.012890401 0.03585962
## 54 rules FALSE 70 0.9640453 0.9083056 0.8799347 0.010167855 0.04723491
## 73 rules TRUE 70 0.9610535 0.8899225 0.8856313 0.011120628 0.03123194
## 16 tree FALSE 70 0.9628225 0.8991141 0.8971335 0.010213449 0.04198859
## 35 tree TRUE 70 0.9598905 0.8875969 0.8876270 0.013225333 0.03608236
## 55 rules FALSE 80 0.9635541 0.9153378 0.8799347 0.009734285 0.04269630
## 74 rules TRUE 80 0.9615022 0.8852159 0.8875544 0.011480370 0.03560627
## 17 tree FALSE 80 0.9627740 0.8873754 0.8971335 0.009982550 0.04171706
## 36 tree TRUE 80 0.9594845 0.8829457 0.8876270 0.012558967 0.03792290
## 56 rules FALSE 90 0.9642681 0.9200997 0.8799347 0.009792287 0.03437964
## 75 rules TRUE 90 0.9608758 0.8898671 0.8837446 0.012210998 0.03143162
## 18 tree FALSE 90 0.9635952 0.8897010 0.8933237 0.009251954 0.04068568
## 37 tree TRUE 90 0.9597357 0.8829457 0.8914369 0.011591678 0.03792290
## 57 rules FALSE 100 0.9634606 0.9200997 0.8799347 0.009639079 0.03437964
## 76 rules TRUE 100 0.9606082 0.8921927 0.8818215 0.012138268 0.02774701
## 19 tree FALSE 100 0.9631377 0.8873200 0.8933237 0.009237875 0.03888627
## 38 tree TRUE 100 0.9595649 0.8806202 0.8914369 0.011957611 0.03532497
## SpecSD
## 39 0.05948617
## 58 0.05492303
## 1 0.05234230
## 20 0.05226348
## 40 0.05332739
## 59 0.05280739
## 2 0.06232832
## 21 0.03268801
## 41 0.04279647
## 60 0.04957934
## 3 0.03665989
## 22 0.04100084
## 42 0.05422507
## 61 0.06085627
## 4 0.04833127
## 23 0.04086656
## 43 0.04431397
## 62 0.05179528
## 5 0.03600158
## 24 0.04560432
## 44 0.05433072
## 63 0.05257286
## 6 0.04881636
## 25 0.03162282
## 45 0.06109125
## 64 0.05683215
## 7 0.04204556
## 26 0.04357429
## 46 0.05096306
## 65 0.05064455
## 8 0.04223745
## 27 0.05045239
## 47 0.05850621
## 66 0.05354258
## 9 0.03902346
## 28 0.05075527
## 48 0.06344503
## 67 0.05225564
## 10 0.04803562
## 29 0.05052917
## 49 0.04949495
## 68 0.05268159
## 11 0.04565318
## 30 0.05030378
## 50 0.05219682
## 69 0.04962275
## 12 0.03990896
## 31 0.05305481
## 51 0.04921807
## 70 0.05181258
## 13 0.04885921
## 32 0.05139217
## 52 0.05359516
## 71 0.05148907
## 14 0.04741597
## 33 0.05169177
## 53 0.05541358
## 72 0.05344845
## 15 0.04654212
## 34 0.05317049
## 54 0.05520050
## 73 0.05066210
## 16 0.04903411
## 35 0.04745336
## 55 0.05520050
## 74 0.05178292
## 17 0.04903411
## 36 0.05317049
## 56 0.05213793
## 75 0.05255231
## 18 0.04977339
## 37 0.05130082
## 57 0.05213793
## 76 0.05128977
## 19 0.05056186
## 38 0.05130082(C50_Train_ROCCurveAUC <- C50_Tune$results[C50_Tune$results$trials==C50_Tune$bestTune$trials &
C50_Tune$results$model==C50_Tune$bestTune$model &
C50_Tune$results$winnow==C50_Tune$bestTune$winnow,
c("ROC")])## [1] 0.9654007##################################
# Identifying and plotting the
# best model predictors
##################################
C50_VarImp <- varImp(C50_Tune, scale = TRUE)
plot(C50_VarImp,
top=25,
scales=list(y=list(cex = .95)),
main="Ranked Variable Importance : C5.0 Decision Trees",
xlab="Scaled Variable Importance Metrics",
ylab="Predictors",
cex=2,
origin=0,
alpha=0.45)
##################################
# Independently evaluating the model
# on the test set
##################################
C50_Test <- data.frame(C50_Observed = PMA_PreModelling_Test_C50$Log_Solubility_Class,
C50_Predicted = predict(C50_Tune,
PMA_PreModelling_Test_C50[,!names(PMA_PreModelling_Test_C50) %in% c("Log_Solubility_Class")],
type = "prob"))
C50_Test## C50_Observed C50_Predicted.Low C50_Predicted.High
## 20 High 0.02655426 0.97344574
## 21 High 0.00000000 1.00000000
## 23 High 0.10015616 0.89984384
## 25 High 0.02061370 0.97938630
## 28 High 0.00000000 1.00000000
## 31 High 0.00000000 1.00000000
## 32 High 0.00000000 1.00000000
## 33 High 0.00000000 1.00000000
## 34 High 0.00000000 1.00000000
## 37 High 0.09558943 0.90441057
## 38 High 0.06953967 0.93046033
## 42 High 0.32696840 0.67303160
## 49 High 0.00000000 1.00000000
## 54 High 0.02063550 0.97936450
## 55 High 0.05495791 0.94504209
## 58 High 0.04087557 0.95912443
## 60 High 0.00000000 1.00000000
## 61 High 0.00000000 1.00000000
## 65 High 0.08831699 0.91168301
## 69 High 0.11449175 0.88550825
## 73 High 0.00000000 1.00000000
## 86 High 0.00000000 1.00000000
## 90 High 0.02063675 0.97936325
## 91 High 0.00000000 1.00000000
## 93 High 0.07186342 0.92813658
## 96 High 0.00000000 1.00000000
## 98 High 0.00000000 1.00000000
## 100 High 0.00000000 1.00000000
## 104 High 0.34768129 0.65231871
## 112 High 0.07305187 0.92694813
## 115 High 0.58938542 0.41061458
## 119 High 0.00000000 1.00000000
## 128 High 0.00000000 1.00000000
## 130 High 0.00000000 1.00000000
## 139 High 0.00000000 1.00000000
## 143 High 0.00000000 1.00000000
## 145 High 0.02472847 0.97527153
## 146 High 0.01574654 0.98425346
## 149 High 0.00000000 1.00000000
## 150 High 0.05367221 0.94632779
## 152 High 0.00000000 1.00000000
## 157 High 0.54137724 0.45862276
## 161 High 0.00000000 1.00000000
## 162 High 0.00000000 1.00000000
## 166 High 0.09277745 0.90722255
## 167 High 0.02411020 0.97588980
## 173 High 0.07151496 0.92848504
## 176 High 0.07198621 0.92801379
## 182 High 0.00000000 1.00000000
## 187 High 0.07308630 0.92691370
## 190 High 0.02769794 0.97230206
## 194 High 0.00000000 1.00000000
## 195 High 0.06254860 0.93745140
## 201 High 0.02767477 0.97232523
## 207 High 0.05437344 0.94562656
## 208 High 0.13798288 0.86201712
## 215 High 0.00000000 1.00000000
## 222 High 0.07513590 0.92486410
## 224 High 0.08287661 0.91712339
## 231 High 0.37372475 0.62627525
## 236 High 0.04103627 0.95896373
## 237 High 0.00000000 1.00000000
## 240 High 0.12079654 0.87920346
## 243 High 0.04061238 0.95938762
## 248 High 0.07974000 0.92026000
## 251 High 0.65865433 0.34134567
## 256 High 0.33441285 0.66558715
## 258 High 0.25863382 0.74136618
## 262 High 0.13665190 0.86334810
## 266 High 0.24532222 0.75467778
## 272 High 0.52133143 0.47866857
## 280 High 0.33335344 0.66664656
## 283 High 0.04288112 0.95711888
## 286 High 0.57234189 0.42765811
## 287 High 0.02870784 0.97129216
## 289 High 0.27147950 0.72852050
## 290 High 0.19882578 0.80117422
## 298 High 0.04486507 0.95513493
## 305 High 0.08582089 0.91417911
## 306 High 0.18447679 0.81552321
## 312 High 0.12865759 0.87134241
## 320 High 0.07140400 0.92859600
## 325 High 0.57801652 0.42198348
## 332 High 0.19367484 0.80632516
## 333 High 0.21915643 0.78084357
## 335 High 0.06819486 0.93180514
## 339 High 0.64044252 0.35955748
## 346 High 0.30029703 0.69970297
## 347 High 0.05700086 0.94299914
## 350 High 0.23904131 0.76095869
## 353 High 0.25506033 0.74493967
## 358 High 0.25410383 0.74589617
## 365 High 0.56033685 0.43966315
## 367 High 0.09239235 0.90760765
## 370 High 0.11573113 0.88426887
## 379 High 0.12238739 0.87761261
## 386 High 0.56797547 0.43202453
## 394 High 0.57974243 0.42025757
## 396 High 0.00000000 1.00000000
## 400 High 0.10428785 0.89571215
## 404 High 0.16768464 0.83231536
## 405 High 0.18722497 0.81277503
## 413 High 0.28472931 0.71527069
## 415 High 0.27545287 0.72454713
## 417 High 0.72339913 0.27660087
## 418 High 0.50995046 0.49004954
## 423 High 0.49519040 0.50480960
## 434 High 0.18027816 0.81972184
## 437 High 0.45983519 0.54016481
## 440 High 0.69802420 0.30197580
## 449 High 0.66121376 0.33878624
## 450 High 0.30891869 0.69108131
## 457 High 0.52254076 0.47745924
## 467 High 0.64614193 0.35385807
## 469 High 0.68060946 0.31939054
## 474 High 0.78376219 0.21623781
## 475 High 0.71175191 0.28824809
## 485 High 0.70769250 0.29230750
## 504 Low 0.55757690 0.44242310
## 511 Low 0.38540018 0.61459982
## 512 Low 0.63775425 0.36224575
## 517 Low 0.05347474 0.94652526
## 519 Low 0.85433291 0.14566709
## 520 Low 0.45699331 0.54300669
## 522 Low 0.86255060 0.13744940
## 527 Low 0.51996002 0.48003998
## 528 Low 0.88762875 0.11237125
## 529 Low 0.53908072 0.46091928
## 537 Low 0.76314617 0.23685383
## 540 Low 0.65609390 0.34390610
## 541 Low 0.87702545 0.12297455
## 547 Low 0.56799924 0.43200076
## 550 Low 0.80341287 0.19658713
## 555 Low 0.65177670 0.34822330
## 564 Low 0.59098769 0.40901231
## 570 Low 0.84818688 0.15181312
## 573 Low 0.86078262 0.13921738
## 575 Low 0.84157433 0.15842567
## 578 Low 0.84272529 0.15727471
## 581 Low 0.38198622 0.61801378
## 585 Low 0.81829764 0.18170236
## 590 Low 0.61083106 0.38916894
## 601 Low 0.98558164 0.01441836
## 602 Low 0.60401408 0.39598592
## 607 Low 0.44669929 0.55330071
## 610 Low 0.73117479 0.26882521
## 618 Low 0.66603962 0.33396038
## 624 Low 0.89189433 0.10810567
## 626 Low 0.92868358 0.07131642
## 627 Low 0.91974261 0.08025739
## 634 Low 0.31936753 0.68063247
## 640 Low 0.88274317 0.11725683
## 642 Low 0.84819935 0.15180065
## 643 Low 0.86172115 0.13827885
## 644 Low 0.82066203 0.17933797
## 645 Low 0.71012342 0.28987658
## 646 Low 0.91867892 0.08132108
## 647 Low 0.91319466 0.08680534
## 652 Low 0.91736402 0.08263598
## 658 Low 0.89316226 0.10683774
## 659 Low 0.97215330 0.02784670
## 660 Low 0.91665130 0.08334870
## 664 Low 0.91918463 0.08081537
## 666 Low 0.81269491 0.18730509
## 667 Low 0.97275169 0.02724831
## 675 Low 0.92769201 0.07230799
## 680 Low 0.86128796 0.13871204
## 681 Low 0.81408831 0.18591169
## 687 Low 0.98493734 0.01506266
## 694 Low 0.95871131 0.04128869
## 697 Low 0.88150319 0.11849681
## 701 Low 0.82150966 0.17849034
## 705 Low 0.95821185 0.04178815
## 707 Low 0.98223904 0.01776096
## 710 Low 0.95579735 0.04420265
## 716 Low 0.94284932 0.05715068
## 719 Low 0.75669678 0.24330322
## 720 Low 0.98569627 0.01430373
## 725 Low 0.95859368 0.04140632
## 727 Low 0.87018540 0.12981460
## 730 Low 0.95202026 0.04797974
## 738 Low 0.91308664 0.08691336
## 745 Low 0.91463298 0.08536702
## 748 Low 0.98289523 0.01710477
## 751 Low 0.95857778 0.04142222
## 756 Low 0.91959620 0.08040380
## 766 Low 0.93279140 0.06720860
## 769 Low 0.93926193 0.06073807
## 783 Low 1.00000000 0.00000000
## 785 Low 0.91453805 0.08546195
## 790 Low 0.91623500 0.08376500
## 793 Low 0.78007711 0.21992289
## 795 Low 0.95861275 0.04138725
## 796 Low 0.94263940 0.05736060
## 797 Low 0.94214449 0.05785551
## 801 Low 0.91331484 0.08668516
## 811 Low 1.00000000 0.00000000
## 812 Low 0.96953762 0.03046238
## 815 Low 0.98605448 0.01394552
## 816 Low 0.84296671 0.15703329
## 817 Low 0.98229247 0.01770753
## 824 Low 1.00000000 0.00000000
## 825 Low 1.00000000 0.00000000
## 826 Low 0.98342377 0.01657623
## 830 Low 1.00000000 0.00000000
## 837 Low 1.00000000 0.00000000
## 838 Low 0.87679966 0.12320034
## 844 Low 1.00000000 0.00000000
## 845 Low 1.00000000 0.00000000
## 847 Low 0.97245007 0.02754993
## 850 Low 1.00000000 0.00000000
## 852 Low 1.00000000 0.00000000
## 853 Low 1.00000000 0.00000000
## 861 Low 1.00000000 0.00000000
## 868 Low 1.00000000 0.00000000
## 874 Low 1.00000000 0.00000000
## 879 High 0.05420092 0.94579908
## 895 High 0.02096607 0.97903393
## 899 High 0.02738544 0.97261456
## 903 High 0.02614719 0.97385281
## 917 High 0.00000000 1.00000000
## 927 High 0.07090086 0.92909914
## 929 High 0.02577611 0.97422389
## 931 High 0.16136237 0.83863763
## 933 High 0.51046449 0.48953551
## 944 High 0.06847903 0.93152097
## 947 High 0.02646615 0.97353385
## 949 High 0.15656496 0.84343504
## 953 High 0.00000000 1.00000000
## 958 High 0.09757865 0.90242135
## 961 High 0.25809291 0.74190709
## 963 High 0.10729888 0.89270112
## 964 High 0.00000000 1.00000000
## 973 High 0.01639165 0.98360835
## 976 High 0.05709965 0.94290035
## 977 High 0.10332249 0.89667751
## 980 High 0.62681849 0.37318151
## 983 High 0.16718613 0.83281387
## 984 High 0.06254860 0.93745140
## 986 High 0.05263976 0.94736024
## 989 High 0.04912551 0.95087449
## 991 High 0.07013778 0.92986222
## 996 High 0.00000000 1.00000000
## 997 High 0.12023414 0.87976586
## 999 High 0.19575319 0.80424681
## 1000 High 0.11072472 0.88927528
## 1003 High 0.00000000 1.00000000
## 1008 High 0.00000000 1.00000000
## 1009 High 0.03509462 0.96490538
## 1014 High 0.27286503 0.72713497
## 1015 High 0.46790912 0.53209088
## 1040 High 0.15580504 0.84419496
## 1042 High 0.15020655 0.84979345
## 1043 High 0.53447819 0.46552181
## 1050 High 0.28582765 0.71417235
## 1052 High 0.06603163 0.93396837
## 1056 High 0.36279591 0.63720409
## 1070 High 0.31066953 0.68933047
## 1073 High 0.22259853 0.77740147
## 1074 High 0.13849911 0.86150089
## 1079 High 0.32835673 0.67164327
## 1080 High 0.40953975 0.59046025
## 1085 High 0.38582480 0.61417520
## 1087 High 0.50433378 0.49566622
## 1096 High 0.81719471 0.18280529
## 1099 High 0.32006657 0.67993343
## 1100 High 0.58225511 0.41774489
## 1102 High 0.27908234 0.72091766
## 1107 Low 0.80718189 0.19281811
## 1109 Low 0.81594540 0.18405460
## 1114 Low 0.76441806 0.23558194
## 1118 Low 0.70406518 0.29593482
## 1123 Low 0.65004534 0.34995466
## 1132 Low 0.98503092 0.01496908
## 1134 Low 0.69708338 0.30291662
## 1137 Low 0.86226992 0.13773008
## 1154 Low 0.94608462 0.05391538
## 1155 Low 0.42648387 0.57351613
## 1157 Low 0.90119806 0.09880194
## 1162 Low 0.84317290 0.15682710
## 1164 Low 0.86431708 0.13568292
## 1171 Low 0.98465297 0.01534703
## 1172 Low 0.93757842 0.06242158
## 1175 Low 0.90263208 0.09736792
## 1177 Low 1.00000000 0.00000000
## 1179 Low 0.92638055 0.07361945
## 1183 Low 0.84320955 0.15679045
## 1185 Low 0.75743165 0.24256835
## 1189 Low 0.93052040 0.06947960
## 1211 Low 0.93210858 0.06789142
## 1218 Low 0.83060734 0.16939266
## 1224 Low 0.75158852 0.24841148
## 1225 Low 0.76163588 0.23836412
## 1227 Low 0.96159929 0.03840071
## 1232 Low 0.95834118 0.04165882
## 1235 Low 0.85307109 0.14692891
## 1238 Low 0.92428798 0.07571202
## 1240 Low 0.90245364 0.09754636
## 1241 Low 0.97196344 0.02803656
## 1248 Low 1.00000000 0.00000000
## 1258 Low 0.87679966 0.12320034
## 1261 Low 1.00000000 0.00000000
## 1263 Low 0.98531864 0.01468136
## 1269 Low 0.85106195 0.14893805
## 1270 Low 0.97575850 0.02424150
## 1271 Low 1.00000000 0.00000000
## 1272 Low 1.00000000 0.00000000
## 1280 Low 1.00000000 0.00000000
## 1286 Low 0.97514152 0.02485848
## 1287 Low 0.97461916 0.02538084
## 1289 Low 1.00000000 0.00000000
## 1290 Low 1.00000000 0.00000000
## 1291 High 0.22947704 0.77052296
## 1294 High 0.35263931 0.64736069
## 1305 Low 0.88365575 0.11634425
## 1308 High 0.93307123 0.06692877##################################
# Reporting the independent evaluation results
# for the test set
##################################
C50_Test_ROC <- roc(response = C50_Test$C50_Observed,
predictor = C50_Test$C50_Predicted.High,
levels = rev(levels(C50_Test$C50_Observed)))
(C50_Test_ROCCurveAUC <- auc(C50_Test_ROC)[1])## [1] 0.97635311.5.14 Random Forest (RF)
Random Forest is an ensemble learning method made up of a large set of small decision trees called estimators, with each producing its own prediction. The random forest model aggregates the predictions of the estimators to produce a more accurate prediction. The algorithm involves bootstrap aggregating (where smaller subsets of the training data are repeatedly subsampled with replacement), random subspacing (where a subset of features are sampled and used to train each individual estimator), estimator training (where unpruned decision trees are formulated for each estimator) and inference by aggregating the predictions of all estimators.
[A] The random forest model from the randomForest package was implemented through the caret package.
[B] The model contains 1 hyperparameter:
[B.1] mtry = number of randomly selected predictors made to vary across a range of values equal to 25 to 125
[C] The cross-validated model performance of the final model is summarized as follows:
[C.1] Final model configuration involves mtry=125
[C.2] AUROC = 0.96507
[D] The model allows for ranking of predictors in terms of variable importance. The top-performing predictors in the model are as follows:
[D.1] MolWeight variable (numeric)
[D.2] NumCarbon variable (numeric)
[D.3] HydroPhilicFactor variable (numeric)
[D.4] SurfaceArea1 variable (numeric)
[D.5] NumRotBonds variable (numeric)
[E] The independent test model performance of the final model is summarized as follows:
[E.1] AUROC = 0.98207
Code Chunk | Output
##################################
# Creating a local object
# for the train and test sets
##################################
PMA_PreModelling_Train_RF <- PMA_PreModelling_Train
PMA_PreModelling_Test_RF <- PMA_PreModelling_Test
##################################
# Creating consistent fold assignments
# for the 10-Fold Cross Validation process
##################################
set.seed(12345678)
KFold_Indices <- createFolds(PMA_PreModelling_Train_RF$Log_Solubility_Class,
k = 10,
returnTrain=TRUE)
KFold_Control <- trainControl(method="cv",
index=KFold_Indices,
summaryFunction = twoClassSummary,
classProbs = TRUE)
##################################
# Setting the conditions
# for hyperparameter tuning
##################################
RF_Grid = data.frame(mtry = c(25,75,125))
##################################
# Running the random forest model
# by setting the caret method to 'rf'
##################################
set.seed(12345678)
RF_Tune <- train(x = PMA_PreModelling_Train_RF[,!names(PMA_PreModelling_Train_RF) %in% c("Log_Solubility_Class")],
y = PMA_PreModelling_Train_RF$Log_Solubility_Class,
method = "rf",
tuneGrid = RF_Grid,
metric = "ROC",
trControl = KFold_Control)
##################################
# Reporting the cross-validation results
# for the train set
##################################
RF_Tune## Random Forest
##
## 951 samples
## 220 predictors
## 2 classes: 'Low', 'High'
##
## No pre-processing
## Resampling: Cross-Validated (10 fold)
## Summary of sample sizes: 857, 855, 857, 855, 856, 856, ...
## Resampling results across tuning parameters:
##
## mtry ROC Sens Spec
## 25 0.9639193 0.9061462 0.8817852
## 75 0.9650175 0.9202104 0.8779390
## 125 0.9650737 0.9203212 0.8798621
##
## ROC was used to select the optimal model using the largest value.
## The final value used for the model was mtry = 125.RF_Tune$finalModel##
## Call:
## randomForest(x = x, y = y, mtry = param$mtry)
## Type of random forest: classification
## Number of trees: 500
## No. of variables tried at each split: 125
##
## OOB estimate of error rate: 9.99%
## Confusion matrix:
## Low High class.error
## Low 393 34 0.07962529
## High 61 463 0.11641221RF_Tune$results## mtry ROC Sens Spec ROCSD SensSD SpecSD
## 1 25 0.9639193 0.9061462 0.8817852 0.01129087 0.04705140 0.04453780
## 2 75 0.9650175 0.9202104 0.8779390 0.01109720 0.03005539 0.04320822
## 3 125 0.9650737 0.9203212 0.8798621 0.01095588 0.03843884 0.04395980(RF_Train_ROCCurveAUC <- RF_Tune$results[RF_Tune$results$mtry==RF_Tune$bestTune$mtry,
c("ROC")])## [1] 0.9650737##################################
# Identifying and plotting the
# best model predictors
##################################
RF_VarImp <- varImp(RF_Tune, scale = TRUE)
plot(RF_VarImp,
top=25,
scales=list(y=list(cex = .95)),
main="Ranked Variable Importance : Random Forest",
xlab="Scaled Variable Importance Metrics",
ylab="Predictors",
cex=2,
origin=0,
alpha=0.45)
##################################
# Independently evaluating the model
# on the test set
##################################
RF_Test <- data.frame(RF_Observed = PMA_PreModelling_Test_RF$Log_Solubility_Class,
RF_Predicted = predict(RF_Tune,
PMA_PreModelling_Test_RF[,!names(PMA_PreModelling_Test_RF) %in% c("Log_Solubility_Class")],
type = "prob"))
RF_Test## RF_Observed RF_Predicted.Low RF_Predicted.High
## 20 High 0.000 1.000
## 21 High 0.000 1.000
## 23 High 0.040 0.960
## 25 High 0.004 0.996
## 28 High 0.000 1.000
## 31 High 0.000 1.000
## 32 High 0.000 1.000
## 33 High 0.002 0.998
## 34 High 0.002 0.998
## 37 High 0.008 0.992
## 38 High 0.002 0.998
## 42 High 0.394 0.606
## 49 High 0.000 1.000
## 54 High 0.000 1.000
## 55 High 0.000 1.000
## 58 High 0.026 0.974
## 60 High 0.000 1.000
## 61 High 0.002 0.998
## 65 High 0.000 1.000
## 69 High 0.014 0.986
## 73 High 0.006 0.994
## 86 High 0.008 0.992
## 90 High 0.000 1.000
## 91 High 0.004 0.996
## 93 High 0.000 1.000
## 96 High 0.030 0.970
## 98 High 0.004 0.996
## 100 High 0.000 1.000
## 104 High 0.418 0.582
## 112 High 0.012 0.988
## 115 High 0.550 0.450
## 119 High 0.000 1.000
## 128 High 0.000 1.000
## 130 High 0.026 0.974
## 139 High 0.002 0.998
## 143 High 0.000 1.000
## 145 High 0.000 1.000
## 146 High 0.000 1.000
## 149 High 0.002 0.998
## 150 High 0.004 0.996
## 152 High 0.002 0.998
## 157 High 0.526 0.474
## 161 High 0.000 1.000
## 162 High 0.000 1.000
## 166 High 0.152 0.848
## 167 High 0.000 1.000
## 173 High 0.012 0.988
## 176 High 0.000 1.000
## 182 High 0.000 1.000
## 187 High 0.000 1.000
## 190 High 0.002 0.998
## 194 High 0.048 0.952
## 195 High 0.002 0.998
## 201 High 0.000 1.000
## 207 High 0.020 0.980
## 208 High 0.162 0.838
## 215 High 0.000 1.000
## 222 High 0.038 0.962
## 224 High 0.006 0.994
## 231 High 0.174 0.826
## 236 High 0.000 1.000
## 237 High 0.002 0.998
## 240 High 0.110 0.890
## 243 High 0.000 1.000
## 248 High 0.002 0.998
## 251 High 0.526 0.474
## 256 High 0.170 0.830
## 258 High 0.182 0.818
## 262 High 0.174 0.826
## 266 High 0.090 0.910
## 272 High 0.480 0.520
## 280 High 0.434 0.566
## 283 High 0.024 0.976
## 286 High 0.532 0.468
## 287 High 0.018 0.982
## 289 High 0.260 0.740
## 290 High 0.144 0.856
## 298 High 0.008 0.992
## 305 High 0.006 0.994
## 306 High 0.186 0.814
## 312 High 0.004 0.996
## 320 High 0.000 1.000
## 325 High 0.530 0.470
## 332 High 0.064 0.936
## 333 High 0.360 0.640
## 335 High 0.008 0.992
## 339 High 0.542 0.458
## 346 High 0.070 0.930
## 347 High 0.038 0.962
## 350 High 0.122 0.878
## 353 High 0.020 0.980
## 358 High 0.032 0.968
## 365 High 0.328 0.672
## 367 High 0.018 0.982
## 370 High 0.120 0.880
## 379 High 0.024 0.976
## 386 High 0.436 0.564
## 394 High 0.554 0.446
## 396 High 0.212 0.788
## 400 High 0.046 0.954
## 404 High 0.148 0.852
## 405 High 0.058 0.942
## 413 High 0.160 0.840
## 415 High 0.032 0.968
## 417 High 0.374 0.626
## 418 High 0.660 0.340
## 423 High 0.588 0.412
## 434 High 0.016 0.984
## 437 High 0.456 0.544
## 440 High 0.484 0.516
## 449 High 0.542 0.458
## 450 High 0.182 0.818
## 457 High 0.448 0.552
## 467 High 0.494 0.506
## 469 High 0.534 0.466
## 474 High 0.728 0.272
## 475 High 0.820 0.180
## 485 High 0.540 0.460
## 504 Low 0.616 0.384
## 511 Low 0.440 0.560
## 512 Low 0.642 0.358
## 517 Low 0.024 0.976
## 519 Low 0.748 0.252
## 520 Low 0.228 0.772
## 522 Low 0.746 0.254
## 527 Low 0.734 0.266
## 528 Low 0.994 0.006
## 529 Low 0.570 0.430
## 537 Low 0.810 0.190
## 540 Low 0.842 0.158
## 541 Low 1.000 0.000
## 547 Low 0.572 0.428
## 550 Low 0.710 0.290
## 555 Low 0.610 0.390
## 564 Low 0.512 0.488
## 570 Low 0.658 0.342
## 573 Low 0.906 0.094
## 575 Low 0.984 0.016
## 578 Low 0.912 0.088
## 581 Low 0.104 0.896
## 585 Low 0.958 0.042
## 590 Low 0.516 0.484
## 601 Low 0.894 0.106
## 602 Low 0.822 0.178
## 607 Low 0.310 0.690
## 610 Low 0.638 0.362
## 618 Low 0.726 0.274
## 624 Low 0.964 0.036
## 626 Low 0.882 0.118
## 627 Low 0.948 0.052
## 634 Low 0.346 0.654
## 640 Low 0.764 0.236
## 642 Low 0.958 0.042
## 643 Low 1.000 0.000
## 644 Low 0.868 0.132
## 645 Low 0.838 0.162
## 646 Low 0.972 0.028
## 647 Low 0.842 0.158
## 652 Low 0.906 0.094
## 658 Low 0.912 0.088
## 659 Low 0.994 0.006
## 660 Low 0.916 0.084
## 664 Low 0.878 0.122
## 666 Low 0.888 0.112
## 667 Low 0.924 0.076
## 675 Low 0.994 0.006
## 680 Low 0.908 0.092
## 681 Low 0.798 0.202
## 687 Low 0.994 0.006
## 694 Low 0.936 0.064
## 697 Low 0.918 0.082
## 701 Low 0.990 0.010
## 705 Low 0.950 0.050
## 707 Low 0.936 0.064
## 710 Low 0.990 0.010
## 716 Low 0.986 0.014
## 719 Low 0.868 0.132
## 720 Low 1.000 0.000
## 725 Low 0.986 0.014
## 727 Low 0.994 0.006
## 730 Low 0.960 0.040
## 738 Low 0.926 0.074
## 745 Low 0.984 0.016
## 748 Low 0.956 0.044
## 751 Low 0.980 0.020
## 756 Low 0.938 0.062
## 766 Low 0.922 0.078
## 769 Low 0.944 0.056
## 783 Low 1.000 0.000
## 785 Low 0.988 0.012
## 790 Low 0.898 0.102
## 793 Low 0.796 0.204
## 795 Low 0.986 0.014
## 796 Low 0.988 0.012
## 797 Low 0.900 0.100
## 801 Low 0.938 0.062
## 811 Low 0.992 0.008
## 812 Low 0.998 0.002
## 815 Low 0.982 0.018
## 816 Low 0.956 0.044
## 817 Low 0.998 0.002
## 824 Low 1.000 0.000
## 825 Low 1.000 0.000
## 826 Low 0.998 0.002
## 830 Low 1.000 0.000
## 837 Low 0.994 0.006
## 838 Low 0.954 0.046
## 844 Low 1.000 0.000
## 845 Low 0.994 0.006
## 847 Low 1.000 0.000
## 850 Low 1.000 0.000
## 852 Low 1.000 0.000
## 853 Low 1.000 0.000
## 861 Low 1.000 0.000
## 868 Low 1.000 0.000
## 874 Low 1.000 0.000
## 879 High 0.000 1.000
## 895 High 0.000 1.000
## 899 High 0.014 0.986
## 903 High 0.000 1.000
## 917 High 0.014 0.986
## 927 High 0.000 1.000
## 929 High 0.002 0.998
## 931 High 0.020 0.980
## 933 High 0.286 0.714
## 944 High 0.030 0.970
## 947 High 0.000 1.000
## 949 High 0.034 0.966
## 953 High 0.000 1.000
## 958 High 0.096 0.904
## 961 High 0.090 0.910
## 963 High 0.018 0.982
## 964 High 0.000 1.000
## 973 High 0.006 0.994
## 976 High 0.000 1.000
## 977 High 0.004 0.996
## 980 High 0.510 0.490
## 983 High 0.044 0.956
## 984 High 0.002 0.998
## 986 High 0.000 1.000
## 989 High 0.014 0.986
## 991 High 0.008 0.992
## 996 High 0.000 1.000
## 997 High 0.016 0.984
## 999 High 0.158 0.842
## 1000 High 0.004 0.996
## 1003 High 0.000 1.000
## 1008 High 0.000 1.000
## 1009 High 0.000 1.000
## 1014 High 0.144 0.856
## 1015 High 0.428 0.572
## 1040 High 0.016 0.984
## 1042 High 0.116 0.884
## 1043 High 0.394 0.606
## 1050 High 0.084 0.916
## 1052 High 0.004 0.996
## 1056 High 0.354 0.646
## 1070 High 0.172 0.828
## 1073 High 0.186 0.814
## 1074 High 0.018 0.982
## 1079 High 0.014 0.986
## 1080 High 0.262 0.738
## 1085 High 0.084 0.916
## 1087 High 0.488 0.512
## 1096 High 0.906 0.094
## 1099 High 0.196 0.804
## 1100 High 0.430 0.570
## 1102 High 0.466 0.534
## 1107 Low 0.976 0.024
## 1109 Low 0.592 0.408
## 1114 Low 0.594 0.406
## 1118 Low 0.516 0.484
## 1123 Low 0.816 0.184
## 1132 Low 0.906 0.094
## 1134 Low 0.520 0.480
## 1137 Low 0.940 0.060
## 1154 Low 0.964 0.036
## 1155 Low 0.704 0.296
## 1157 Low 0.958 0.042
## 1162 Low 0.982 0.018
## 1164 Low 0.954 0.046
## 1171 Low 0.980 0.020
## 1172 Low 0.922 0.078
## 1175 Low 0.796 0.204
## 1177 Low 0.978 0.022
## 1179 Low 0.850 0.150
## 1183 Low 0.966 0.034
## 1185 Low 0.882 0.118
## 1189 Low 0.948 0.052
## 1211 Low 0.992 0.008
## 1218 Low 0.848 0.152
## 1224 Low 0.906 0.094
## 1225 Low 0.954 0.046
## 1227 Low 0.984 0.016
## 1232 Low 0.988 0.012
## 1235 Low 0.804 0.196
## 1238 Low 0.864 0.136
## 1240 Low 0.910 0.090
## 1241 Low 0.996 0.004
## 1248 Low 1.000 0.000
## 1258 Low 0.954 0.046
## 1261 Low 0.976 0.024
## 1263 Low 0.998 0.002
## 1269 Low 0.952 0.048
## 1270 Low 0.908 0.092
## 1271 Low 1.000 0.000
## 1272 Low 1.000 0.000
## 1280 Low 1.000 0.000
## 1286 Low 0.996 0.004
## 1287 Low 0.984 0.016
## 1289 Low 1.000 0.000
## 1290 Low 1.000 0.000
## 1291 High 0.024 0.976
## 1294 High 0.462 0.538
## 1305 Low 0.874 0.126
## 1308 High 0.792 0.208##################################
# Reporting the independent evaluation results
# for the test set
##################################
RF_Test_ROC <- roc(response = RF_Test$RF_Observed,
predictor = RF_Test$RF_Predicted.High,
levels = rev(levels(RF_Test$RF_Observed)))
(RF_Test_ROCCurveAUC <- auc(RF_Test_ROC)[1])## [1] 0.98207281.5.15 Bagged Trees (BTREE)
Bagged Trees combine bootstrapping and decision trees to construct an ensemble. The modeling process involves generating bootstrap samples of the original data, training an unpruned decision tree for each bootstrap subset of the data and implementing an ensemble voting for all the individual decision tree predictions to formulate the final prediction. The bootstrap aggregation (bagging) mechanism improves the model performance by reducing variance. Although the individual decision trees in the model are identically distributed, they are not necessarily independent and share similar structure. This similarity, known as tree correlation, is an essential factor that prevents further reduction of variance.
[A] The bagged trees model from the ipred, plyr and e1071 packages was implemented through the caret package.
[B] The model does not contain any hyperparameter.
[C] The cross-validated model performance of the final model is summarized as follows:
[C.1] Final model configuration is fixed due to the absence of a hyperparameter
[C.2] AUROC = 0.95881
[D] The model allows for ranking of predictors in terms of variable importance. The top-performing predictors in the model are as follows:
[D.1] MolWeight variable (numeric)
[D.2] NumCarbon variable (numeric)
[D.3] NumBonds variable (numeric)
[D.4] HydrophilicFactor variable (numeric)
[D.5] FP076 variable (factor)
[E] The independent test model performance of the final model is summarized as follows:
[E.1] AUROC = 0.97528
Code Chunk | Output
##################################
# Creating a local object
# for the train and test sets
##################################
PMA_PreModelling_Train_BTREE <- PMA_PreModelling_Train
PMA_PreModelling_Test_BTREE <- PMA_PreModelling_Test
##################################
# Creating consistent fold assignments
# for the 10-Fold Cross Validation process
##################################
set.seed(12345678)
KFold_Indices <- createFolds(PMA_PreModelling_Train_BTREE$Log_Solubility,
k = 10,
returnTrain=TRUE)
KFold_Control <- trainControl(method="cv",
index=KFold_Indices,
summaryFunction = twoClassSummary,
classProbs = TRUE)
##################################
# Setting the conditions
# for hyperparameter tuning
##################################
# No hyperparameter tuning process conducted
##################################
# Running the bagged trees model
# by setting the caret method to 'treebag'
##################################
set.seed(12345678)
BTREE_Tune <- train(x = PMA_PreModelling_Train_BTREE[,!names(PMA_PreModelling_Train_BTREE) %in% c("Log_Solubility_Class")],
y = PMA_PreModelling_Train_BTREE$Log_Solubility_Class,
method = "treebag",
nbagg = 50,
metric = "ROC",
trControl = KFold_Control)
##################################
# Reporting the cross-validation results
# for the train set
##################################
BTREE_Tune## Bagged CART
##
## 951 samples
## 220 predictors
## 2 classes: 'Low', 'High'
##
## No pre-processing
## Resampling: Cross-Validated (10 fold)
## Summary of sample sizes: 857, 855, 857, 855, 856, 856, ...
## Resampling results:
##
## ROC Sens Spec
## 0.9588129 0.9249169 0.883672BTREE_Tune$finalModel##
## Bagging classification trees with 50 bootstrap replicationsBTREE_Tune$results## parameter ROC Sens Spec ROCSD SensSD SpecSD
## 1 none 0.9588129 0.9249169 0.883672 0.01461297 0.02693862 0.04348798(BTREE_Train_ROCCurveAUC <- BTREE_Tune$results$ROC)## [1] 0.9588129##################################
# Identifying and plotting the
# best model predictors
##################################
BTREE_VarImp <- varImp(BTREE_Tune, scale = TRUE)
plot(BTREE_VarImp,
top=25,
scales=list(y=list(cex = .95)),
main="Ranked Variable Importance : Bagged Trees",
xlab="Scaled Variable Importance Metrics",
ylab="Predictors",
cex=2,
origin=0,
alpha=0.45)
##################################
# Independently evaluating the model
# on the test set
##################################
BTREE_Test <- data.frame(BTREE_Observed = PMA_PreModelling_Test_BTREE$Log_Solubility_Class,
BTREE_Predicted = predict(BTREE_Tune,
PMA_PreModelling_Test_BTREE[,!names(PMA_PreModelling_Test_BTREE) %in% c("Log_Solubility_Class")],
type = "prob"))
BTREE_Test## BTREE_Observed BTREE_Predicted.Low BTREE_Predicted.High
## 1 High 0.00 1.00
## 2 High 0.00 1.00
## 3 High 0.04 0.96
## 4 High 0.00 1.00
## 5 High 0.00 1.00
## 6 High 0.00 1.00
## 7 High 0.00 1.00
## 8 High 0.00 1.00
## 9 High 0.00 1.00
## 10 High 0.00 1.00
## 11 High 0.00 1.00
## 12 High 0.38 0.62
## 13 High 0.00 1.00
## 14 High 0.00 1.00
## 15 High 0.00 1.00
## 16 High 0.00 1.00
## 17 High 0.00 1.00
## 18 High 0.00 1.00
## 19 High 0.00 1.00
## 20 High 0.00 1.00
## 21 High 0.00 1.00
## 22 High 0.00 1.00
## 23 High 0.00 1.00
## 24 High 0.00 1.00
## 25 High 0.00 1.00
## 26 High 0.10 0.90
## 27 High 0.00 1.00
## 28 High 0.00 1.00
## 29 High 0.48 0.52
## 30 High 0.00 1.00
## 31 High 0.60 0.40
## 32 High 0.00 1.00
## 33 High 0.00 1.00
## 34 High 0.10 0.90
## 35 High 0.00 1.00
## 36 High 0.00 1.00
## 37 High 0.00 1.00
## 38 High 0.00 1.00
## 39 High 0.00 1.00
## 40 High 0.00 1.00
## 41 High 0.00 1.00
## 42 High 0.58 0.42
## 43 High 0.02 0.98
## 44 High 0.00 1.00
## 45 High 0.10 0.90
## 46 High 0.00 1.00
## 47 High 0.00 1.00
## 48 High 0.00 1.00
## 49 High 0.00 1.00
## 50 High 0.00 1.00
## 51 High 0.00 1.00
## 52 High 0.00 1.00
## 53 High 0.00 1.00
## 54 High 0.00 1.00
## 55 High 0.02 0.98
## 56 High 0.30 0.70
## 57 High 0.00 1.00
## 58 High 0.02 0.98
## 59 High 0.02 0.98
## 60 High 0.10 0.90
## 61 High 0.00 1.00
## 62 High 0.00 1.00
## 63 High 0.18 0.82
## 64 High 0.00 1.00
## 65 High 0.00 1.00
## 66 High 0.46 0.54
## 67 High 0.08 0.92
## 68 High 0.18 0.82
## 69 High 0.28 0.72
## 70 High 0.08 0.92
## 71 High 0.40 0.60
## 72 High 0.42 0.58
## 73 High 0.00 1.00
## 74 High 0.60 0.40
## 75 High 0.00 1.00
## 76 High 0.16 0.84
## 77 High 0.12 0.88
## 78 High 0.00 1.00
## 79 High 0.00 1.00
## 80 High 0.34 0.66
## 81 High 0.00 1.00
## 82 High 0.02 0.98
## 83 High 0.68 0.32
## 84 High 0.06 0.94
## 85 High 0.48 0.52
## 86 High 0.00 1.00
## 87 High 0.64 0.36
## 88 High 0.06 0.94
## 89 High 0.02 0.98
## 90 High 0.20 0.80
## 91 High 0.00 1.00
## 92 High 0.02 0.98
## 93 High 0.54 0.46
## 94 High 0.00 1.00
## 95 High 0.06 0.94
## 96 High 0.04 0.96
## 97 High 0.44 0.56
## 98 High 0.64 0.36
## 99 High 0.30 0.70
## 100 High 0.06 0.94
## 101 High 0.06 0.94
## 102 High 0.00 1.00
## 103 High 0.12 0.88
## 104 High 0.06 0.94
## 105 High 0.34 0.66
## 106 High 0.72 0.28
## 107 High 0.66 0.34
## 108 High 0.00 1.00
## 109 High 0.60 0.40
## 110 High 0.56 0.44
## 111 High 0.58 0.42
## 112 High 0.14 0.86
## 113 High 0.42 0.58
## 114 High 0.52 0.48
## 115 High 0.54 0.46
## 116 High 0.80 0.20
## 117 High 0.86 0.14
## 118 High 0.58 0.42
## 119 Low 0.64 0.36
## 120 Low 0.48 0.52
## 121 Low 0.72 0.28
## 122 Low 0.00 1.00
## 123 Low 0.78 0.22
## 124 Low 0.26 0.74
## 125 Low 0.74 0.26
## 126 Low 0.74 0.26
## 127 Low 1.00 0.00
## 128 Low 0.78 0.22
## 129 Low 0.74 0.26
## 130 Low 0.86 0.14
## 131 Low 1.00 0.00
## 132 Low 0.54 0.46
## 133 Low 0.74 0.26
## 134 Low 0.60 0.40
## 135 Low 0.56 0.44
## 136 Low 0.74 0.26
## 137 Low 0.90 0.10
## 138 Low 1.00 0.00
## 139 Low 0.92 0.08
## 140 Low 0.04 0.96
## 141 Low 0.92 0.08
## 142 Low 0.60 0.40
## 143 Low 0.98 0.02
## 144 Low 0.82 0.18
## 145 Low 0.20 0.80
## 146 Low 0.46 0.54
## 147 Low 0.76 0.24
## 148 Low 0.90 0.10
## 149 Low 0.94 0.06
## 150 Low 0.98 0.02
## 151 Low 0.44 0.56
## 152 Low 0.84 0.16
## 153 Low 0.92 0.08
## 154 Low 1.00 0.00
## 155 Low 0.82 0.18
## 156 Low 0.92 0.08
## 157 Low 1.00 0.00
## 158 Low 0.80 0.20
## 159 Low 0.80 0.20
## 160 Low 0.78 0.22
## 161 Low 1.00 0.00
## 162 Low 0.90 0.10
## 163 Low 0.94 0.06
## 164 Low 0.84 0.16
## 165 Low 0.92 0.08
## 166 Low 0.98 0.02
## 167 Low 0.90 0.10
## 168 Low 0.80 0.20
## 169 Low 1.00 0.00
## 170 Low 0.98 0.02
## 171 Low 0.90 0.10
## 172 Low 1.00 0.00
## 173 Low 0.98 0.02
## 174 Low 1.00 0.00
## 175 Low 0.98 0.02
## 176 Low 0.98 0.02
## 177 Low 0.82 0.18
## 178 Low 1.00 0.00
## 179 Low 0.98 0.02
## 180 Low 1.00 0.00
## 181 Low 0.98 0.02
## 182 Low 1.00 0.00
## 183 Low 0.96 0.04
## 184 Low 0.96 0.04
## 185 Low 0.96 0.04
## 186 Low 0.86 0.14
## 187 Low 0.90 0.10
## 188 Low 0.96 0.04
## 189 Low 1.00 0.00
## 190 Low 1.00 0.00
## 191 Low 0.90 0.10
## 192 Low 0.84 0.16
## 193 Low 1.00 0.00
## 194 Low 0.98 0.02
## 195 Low 0.94 0.06
## 196 Low 0.94 0.06
## 197 Low 0.98 0.02
## 198 Low 0.98 0.02
## 199 Low 1.00 0.00
## 200 Low 0.96 0.04
## 201 Low 1.00 0.00
## 202 Low 1.00 0.00
## 203 Low 1.00 0.00
## 204 Low 1.00 0.00
## 205 Low 1.00 0.00
## 206 Low 1.00 0.00
## 207 Low 0.96 0.04
## 208 Low 1.00 0.00
## 209 Low 1.00 0.00
## 210 Low 0.98 0.02
## 211 Low 1.00 0.00
## 212 Low 1.00 0.00
## 213 Low 1.00 0.00
## 214 Low 1.00 0.00
## 215 Low 1.00 0.00
## 216 Low 1.00 0.00
## 217 High 0.00 1.00
## 218 High 0.00 1.00
## 219 High 0.00 1.00
## 220 High 0.00 1.00
## 221 High 0.02 0.98
## 222 High 0.00 1.00
## 223 High 0.00 1.00
## 224 High 0.00 1.00
## 225 High 0.28 0.72
## 226 High 0.10 0.90
## 227 High 0.00 1.00
## 228 High 0.02 0.98
## 229 High 0.00 1.00
## 230 High 0.08 0.92
## 231 High 0.04 0.96
## 232 High 0.00 1.00
## 233 High 0.00 1.00
## 234 High 0.00 1.00
## 235 High 0.00 1.00
## 236 High 0.02 0.98
## 237 High 0.54 0.46
## 238 High 0.04 0.96
## 239 High 0.00 1.00
## 240 High 0.00 1.00
## 241 High 0.04 0.96
## 242 High 0.00 1.00
## 243 High 0.00 1.00
## 244 High 0.00 1.00
## 245 High 0.14 0.86
## 246 High 0.00 1.00
## 247 High 0.00 1.00
## 248 High 0.00 1.00
## 249 High 0.00 1.00
## 250 High 0.08 0.92
## 251 High 0.40 0.60
## 252 High 0.04 0.96
## 253 High 0.10 0.90
## 254 High 0.48 0.52
## 255 High 0.20 0.80
## 256 High 0.00 1.00
## 257 High 0.36 0.64
## 258 High 0.10 0.90
## 259 High 0.14 0.86
## 260 High 0.02 0.98
## 261 High 0.02 0.98
## 262 High 0.42 0.58
## 263 High 0.04 0.96
## 264 High 0.40 0.60
## 265 High 0.94 0.06
## 266 High 0.16 0.84
## 267 High 0.36 0.64
## 268 High 0.52 0.48
## 269 Low 0.98 0.02
## 270 Low 0.58 0.42
## 271 Low 0.78 0.22
## 272 Low 0.54 0.46
## 273 Low 0.74 0.26
## 274 Low 0.92 0.08
## 275 Low 0.42 0.58
## 276 Low 0.96 0.04
## 277 Low 0.98 0.02
## 278 Low 0.70 0.30
## 279 Low 0.94 0.06
## 280 Low 0.98 0.02
## 281 Low 0.92 0.08
## 282 Low 0.98 0.02
## 283 Low 0.86 0.14
## 284 Low 0.84 0.16
## 285 Low 1.00 0.00
## 286 Low 0.88 0.12
## 287 Low 1.00 0.00
## 288 Low 0.98 0.02
## 289 Low 0.98 0.02
## 290 Low 1.00 0.00
## 291 Low 0.84 0.16
## 292 Low 0.92 0.08
## 293 Low 0.98 0.02
## 294 Low 0.98 0.02
## 295 Low 1.00 0.00
## 296 Low 0.72 0.28
## 297 Low 0.82 0.18
## 298 Low 0.90 0.10
## 299 Low 1.00 0.00
## 300 Low 1.00 0.00
## 301 Low 0.96 0.04
## 302 Low 0.96 0.04
## 303 Low 1.00 0.00
## 304 Low 0.94 0.06
## 305 Low 0.90 0.10
## 306 Low 1.00 0.00
## 307 Low 1.00 0.00
## 308 Low 1.00 0.00
## 309 Low 0.98 0.02
## 310 Low 0.98 0.02
## 311 Low 1.00 0.00
## 312 Low 1.00 0.00
## 313 High 0.02 0.98
## 314 High 0.44 0.56
## 315 Low 0.86 0.14
## 316 High 0.88 0.12##################################
# Reporting the independent evaluation results
# for the test set
##################################
BTREE_Test_ROC <- roc(response = BTREE_Test$BTREE_Observed,
predictor = BTREE_Test$BTREE_Predicted.High,
levels = rev(levels(BTREE_Test$BTREE_Observed)))
(BTREE_Test_ROCCurveAUC <- auc(BTREE_Test_ROC)[1])## [1] 0.97528191.6 Consolidated Findings
[A] The models which demonstrated the best and most consistent AUROC metrics are as follows:
[A.1] C50: C5.0 Decision Trees (C50 and plyr packages)
[A.1.1] Cross-Validation AUROC = 0.96540
[A.1.2] Test AUROC = 0.97635
[A.2] RF: Random Forest (randomForest package)
[A.2.1] Cross-Validation AUROC = 0.96507
[A.2.2] Test AUROC = 0.98207
[A.3] BTREE: Bagged Trees (ipred, plyr and e1071 packages)
[A.3.1] Cross-Validation AUROC = 0.95881
[A.3.2] Test AUROC = 0.97528
Code Chunk | Output
##################################
# Consolidating all evaluation results
# for the train and test sets
# using the AUROC metric
##################################
Model <- c('LR','LDA','FDA','MDA','NB','NSC','AVNN','SVM_R','SVM_P','KNN','CART','CTREE','C50','RF','BTREE',
'LR','LDA','FDA','MDA','NB','NSC','AVNN','SVM_R','SVM_P','KNN','CART','CTREE','C50','RF','BTREE')
Set <- c(rep('Cross-Validation',15),rep('Test',15))
ROCCurveAUC <- c(LR_Train_ROCCurveAUC,LDA_Train_ROCCurveAUC,FDA_Train_ROCCurveAUC,MDA_Train_ROCCurveAUC,NB_Train_ROCCurveAUC,
NSC_Train_ROCCurveAUC,AVNN_Train_ROCCurveAUC,SVM_R_Train_ROCCurveAUC,SVM_P_Train_ROCCurveAUC,KNN_Train_ROCCurveAUC,
CART_Train_ROCCurveAUC,CTREE_Train_ROCCurveAUC,C50_Train_ROCCurveAUC,RF_Train_ROCCurveAUC,BTREE_Train_ROCCurveAUC,
LR_Test_ROCCurveAUC,LDA_Test_ROCCurveAUC,FDA_Test_ROCCurveAUC,MDA_Test_ROCCurveAUC,NB_Test_ROCCurveAUC,
NSC_Test_ROCCurveAUC,AVNN_Test_ROCCurveAUC,SVM_R_Test_ROCCurveAUC,SVM_P_Test_ROCCurveAUC,KNN_Test_ROCCurveAUC,
CART_Test_ROCCurveAUC,CTREE_Test_ROCCurveAUC,C50_Test_ROCCurveAUC,RF_Test_ROCCurveAUC,BTREE_Test_ROCCurveAUC)
ROCCurveAUC_Summary <- as.data.frame(cbind(Model,Set,ROCCurveAUC))
ROCCurveAUC_Summary$ROCCurveAUC <- as.numeric(as.character(ROCCurveAUC_Summary$ROCCurveAUC))
ROCCurveAUC_Summary$Set <- factor(ROCCurveAUC_Summary$Set,
levels = c("Cross-Validation",
"Test"))
ROCCurveAUC_Summary$Model <- factor(ROCCurveAUC_Summary$Model,
levels = c("LR",
"LDA",
"FDA",
"MDA",
"NB",
"NSC",
"AVNN",
"SVM_R",
"SVM_P",
"KNN",
"CART",
"CTREE",
"C50",
"RF",
"BTREE"))
print(ROCCurveAUC_Summary, row.names=FALSE)## Model Set ROCCurveAUC
## LR Cross-Validation 0.8616392
## LDA Cross-Validation 0.9096763
## FDA Cross-Validation 0.9494893
## MDA Cross-Validation 0.9065884
## NB Cross-Validation 0.8818276
## NSC Cross-Validation 0.8662268
## AVNN Cross-Validation 0.9157703
## SVM_R Cross-Validation 0.9551422
## SVM_P Cross-Validation 0.9504889
## KNN Cross-Validation 0.8948909
## CART Cross-Validation 0.9023673
## CTREE Cross-Validation 0.9096727
## C50 Cross-Validation 0.9654007
## RF Cross-Validation 0.9650737
## BTREE Cross-Validation 0.9588129
## LR Test 0.8730345
## LDA Test 0.9213792
## FDA Test 0.9593355
## MDA Test 0.9213792
## NB Test 0.8856057
## NSC Test 0.8877077
## AVNN Test 0.9189135
## SVM_R Test 0.9501597
## SVM_P Test 0.9501192
## KNN Test 0.8817050
## CART Test 0.9452282
## CTREE Test 0.8964792
## C50 Test 0.9763531
## RF Test 0.9820728
## BTREE Test 0.9752819(ROCCurveAUC_Plot <- dotplot(Model ~ ROCCurveAUC,
data = ROCCurveAUC_Summary,
groups = Set,
main = "Classification Model Performance Comparison",
ylab = "Model",
xlab = "AUROC",
auto.key = list(adj=1, space="top", columns=2),
type=c("p", "h"),
origin = 0,
alpha = 0.45,
pch = 16,
cex = 2))
3. References
[Book] Applied Predictive Modeling by Max Kuhn and Kjell Johnson
[Book] An Introduction to Statistical Learning by Gareth James, Daniela Witten, Trevor Hastie and Rob Tibshirani
[Book] The Elements of Statistical Lerarning by Trevor Hastie, Rob Tibshirani and Jerome Friedman
[Book] Multivariate Data Visualization with R by Deepayan Sarkar
[Book] Machine Learning by Samuel Jackson
[Book] Data Modeling Methods by Jacob Larget
[Book] Regression Modeling Strategies by Frank Harrel
[Book] Pattern Recognition and Neural Networks by Brian Ripley
[R Package] AppliedPredictiveModeling by Max Kuhn
[R Package] caret by Max Kuhn
[R Package] rpart by Terry Therneau and Beth Atkinson
[R Package] lattice by Deepayan Sarkar
[R Package] dplyr by Hadley Wickham
[R Package] moments by Lukasz Komsta and Frederick
[R Package] skimr by Elin Waring
[R Package] RANN by Sunil Arya, David Mount, Samuel Kemp and Gregory Jefferis
[R Package] corrplot by Taiyun Wei
[R Package] tidyverse by Hadley Wickham
[R Package] lares by Bernardo Lares
[R Package] DMwR2 by Luis Torgo
[R Package] gridExtra by Baptiste Auguie and Anton Antonov
[R Package] rattle by Graham Williams
[R Package] rpart.plot by Stephen Milborrow
[R Package] RColorBrewer by Erich Neuwirth
[R Package] stats by R Core Team
[R Package] pls by Kristian Hovde Liland
[R Package] nnet by Brian Ripley
[R Package] elasticnet by Hui Zou
[R Package] earth by Stephen Milborrow
[R Package] party by Torsten Hothorn
[R Package] kernlab by Alexandros Karatzoglou
[R Package] randomForest by Andy Liaw
[R Package] pROC by Xavier Robin
[R Package] mda by Trevor Hastie
[R Package] klaR by Christian Roever, Nils Raabe, Karsten Luebke, Uwe Ligges, Gero Szepannek, Marc Zentgraf and David Meyer
[R Package] C50 by Max Kuhn
[R Package] pamr by Trevor Hastie, Rob Tibshirani, Balasubramanian Narasimhan and Gil Chu
[Article] The caret Package by Max Kuhn
[Article] A Short Introduction to the caret Package by Max Kuhn
[Article] Caret Package – A Practical Guide to Machine Learning in R by Selva Prabhakaran
[Article] Tuning Machine Learning Models Using the Caret R Package by Jason Brownlee
[Article] Lattice Graphs by Alboukadel Kassambara
[Article] A Tour of Machine Learning Algorithms by Jason Brownlee
[Article] Decision Tree Algorithm Examples In Data Mining by Software Testing Help Team
[Article] 4 Types of Classification Tasks in Machine Learning by Jason Brownlee
[Article] Spot-Check Classification Machine Learning Algorithms in Python with scikit-learn by Jason Brownlee
[Article] Feature Engineering and Selection: A Practical Approach for Predictive Models by Max Kuhn and Kjell Johnson
[Article] An Introduction to Naive Bayes Algorithm for Beginners by Turing Team
[Article] Machine Learning Tutorial: A Step-by-Step Guide for Beginners by Mayank Banoula
[Article] Nearest Shrunken Centroids With Python by Jason Brownlee
[Article] Discriminant Analysis Essentials in R by Alboukadel Kassambara
[Article] Linear Discriminant Analysis, Explained by Xiaozhou Yang
[Article] Flexible Discriminant Analysis by BCCVL Team
[Article] Classification Tree by BCCVL Team
[Article] Random Forest by BCCVL Team
[Article] Boosted Regression Tree by BCCVL Team
[Article] Artificial Neural Network by BCCVL Team
[Article] Generalized Linear Model by BCCVL Team
[Article] Generalized Boosting Model by BCCVL Team
[Article] Conditional Inference Trees in R Programming by Geeks for Geeks Team
[Article] C5.0: An Informal Tutorial by RuleQuest Team
[Article] What is Nearest Shrunken Centroid Classification? by Rob Tibshirani
[Article] K-Nearest Neighbors Algorithm by IBM Team
[Publication] The Origins of Logistic Regression by JS Cramer (Econometrics eJournal)
[Publication] The Use of Multiple Measurements in Taxonomic Problems by Ronald Fisher (Annals of Human Genetics)
[Publication] Flexible Discriminant Analysis by Optimal Scoring by Trevor Hastie, Robert Tibshirani and Andreas Buja (Journal of the American Statistical Association)
[Publication] Discriminant Analysis by Gaussian Mixtures by Trevor Hastie and Robert Tibshirani (Journal of the Royal Statistical Society)
[Publication] Who Discovered Bayes’s Theorem? by Stephen Stigler (The American Statistician)
[Publication] Diagnosis of Multiple Cancer Types by Shrunken Centroids of Gene Expression by Robert Tibshirani, Trevor Hastie, Balasubramanian Narasimhan and Gilbert Chu (Proceedings of the National Academy of Sciences of the United States of America)
[Publication] A Training Algorithm for Optimal Margin Classifiers by Bernhard Boser, Isabelle Guyon and Vladimir Vapnik (Proceedings of the Fifth Annual Workshop on Computational Learning Theory)
[Publication] Nearest Neighbor Pattern Classification Thomas Cover and Peter Hart (IEEE Transactions on Information Theory)
[Publication] Classification and Regression Trees by Leo Breiman, Jerome Friedman, Richard Olshen, and Charles Stone (Computer Science)
[Publication] Unbiased Recursive Partitioning: A Conditional Inference Framework by Torsten Hothorn, Kurt Hornik and Achim Zeileis (Journal of Computational and Graphical Statistics)
[Publication] C4.5: Programs for Machine Learning by Ross Quinlan (Machine Learning)
[Publication] Random Forest by Leo Breiman (Machine Learning)
[Publication] Bagging Predictors by Leo Breiman (Machine Learning)
[Course] Applied Data Mining and Statistical Learning by Penn State Eberly College of Science
[Course] Regression Methods by Penn State Eberly College of Science
[Course] Applied Regression Analysis by Penn State Eberly College of Science
[Course] Applied Data Mining and Statistical Learning by Penn State Eberly College of Science