wine<-read.csv("C:\\Users\\User\\Desktop\\wine.csv")
#View(wine)
summary(wine)
## Type Alcohol Malic Ash
## Min. :1.000 Min. :11.03 Min. :0.740 Min. :1.360
## 1st Qu.:1.000 1st Qu.:12.36 1st Qu.:1.603 1st Qu.:2.210
## Median :2.000 Median :13.05 Median :1.865 Median :2.360
## Mean :1.938 Mean :13.00 Mean :2.336 Mean :2.367
## 3rd Qu.:3.000 3rd Qu.:13.68 3rd Qu.:3.083 3rd Qu.:2.558
## Max. :3.000 Max. :14.83 Max. :5.800 Max. :3.230
## Alcalinity Magnesium Phenols Flavanoids
## Min. :10.60 Min. : 70.00 Min. :0.980 Min. :0.340
## 1st Qu.:17.20 1st Qu.: 88.00 1st Qu.:1.742 1st Qu.:1.205
## Median :19.50 Median : 98.00 Median :2.355 Median :2.135
## Mean :19.49 Mean : 99.74 Mean :2.295 Mean :2.029
## 3rd Qu.:21.50 3rd Qu.:107.00 3rd Qu.:2.800 3rd Qu.:2.875
## Max. :30.00 Max. :162.00 Max. :3.880 Max. :5.080
## Nonflavanoids Proanthocyanins Color Hue
## Min. :0.1300 Min. :0.410 Min. : 1.280 Min. :0.4800
## 1st Qu.:0.2700 1st Qu.:1.250 1st Qu.: 3.220 1st Qu.:0.7825
## Median :0.3400 Median :1.555 Median : 4.690 Median :0.9650
## Mean :0.3619 Mean :1.591 Mean : 5.058 Mean :0.9574
## 3rd Qu.:0.4375 3rd Qu.:1.950 3rd Qu.: 6.200 3rd Qu.:1.1200
## Max. :0.6600 Max. :3.580 Max. :13.000 Max. :1.7100
## Dilution Proline
## Min. :1.270 Min. : 278.0
## 1st Qu.:1.938 1st Qu.: 500.5
## Median :2.780 Median : 673.5
## Mean :2.612 Mean : 746.9
## 3rd Qu.:3.170 3rd Qu.: 985.0
## Max. :4.000 Max. :1680.0
attach(wine)
normwine<-scale(wine)
#View(normwine)
cor(wine)
## Type Alcohol Malic Ash
## Type 1.00000000 -0.32822194 0.43777620 -0.049643221
## Alcohol -0.32822194 1.00000000 0.09439694 0.211544596
## Malic 0.43777620 0.09439694 1.00000000 0.164045470
## Ash -0.04964322 0.21154460 0.16404547 1.000000000
## Alcalinity 0.51785911 -0.31023514 0.28850040 0.443367187
## Magnesium -0.20917939 0.27079823 -0.05457510 0.286586691
## Phenols -0.71916334 0.28910112 -0.33516700 0.128979538
## Flavanoids -0.84749754 0.23681493 -0.41100659 0.115077279
## Nonflavanoids 0.48910916 -0.15592947 0.29297713 0.186230446
## Proanthocyanins -0.49912982 0.13669791 -0.22074619 0.009651935
## Color 0.26566757 0.54636420 0.24898534 0.258887259
## Hue -0.61736921 -0.07174720 -0.56129569 -0.074666889
## Dilution -0.78822959 0.07234319 -0.36871043 0.003911231
## Proline -0.63371678 0.64372004 -0.19201056 0.223626264
## Alcalinity Magnesium Phenols Flavanoids
## Type 0.51785911 -0.20917939 -0.71916334 -0.8474975
## Alcohol -0.31023514 0.27079823 0.28910112 0.2368149
## Malic 0.28850040 -0.05457510 -0.33516700 -0.4110066
## Ash 0.44336719 0.28658669 0.12897954 0.1150773
## Alcalinity 1.00000000 -0.08333309 -0.32111332 -0.3513699
## Magnesium -0.08333309 1.00000000 0.21440123 0.1957838
## Phenols -0.32111332 0.21440123 1.00000000 0.8645635
## Flavanoids -0.35136986 0.19578377 0.86456350 1.0000000
## Nonflavanoids 0.36192172 -0.25629405 -0.44993530 -0.5378996
## Proanthocyanins -0.19732684 0.23644061 0.61241308 0.6526918
## Color 0.01873198 0.19995001 -0.05513642 -0.1723794
## Hue -0.27395522 0.05539820 0.43368134 0.5434786
## Dilution -0.27676855 0.06600394 0.69994936 0.7871939
## Proline -0.44059693 0.39335085 0.49811488 0.4941931
## Nonflavanoids Proanthocyanins Color Hue
## Type 0.4891092 -0.499129824 0.26566757 -0.61736921
## Alcohol -0.1559295 0.136697912 0.54636420 -0.07174720
## Malic 0.2929771 -0.220746187 0.24898534 -0.56129569
## Ash 0.1862304 0.009651935 0.25888726 -0.07466689
## Alcalinity 0.3619217 -0.197326836 0.01873198 -0.27395522
## Magnesium -0.2562940 0.236440610 0.19995001 0.05539820
## Phenols -0.4499353 0.612413084 -0.05513642 0.43368134
## Flavanoids -0.5378996 0.652691769 -0.17237940 0.54347857
## Nonflavanoids 1.0000000 -0.365845099 0.13905701 -0.26263963
## Proanthocyanins -0.3658451 1.000000000 -0.02524993 0.29554425
## Color 0.1390570 -0.025249931 1.00000000 -0.52181319
## Hue -0.2626396 0.295544253 -0.52181319 1.00000000
## Dilution -0.5032696 0.519067096 -0.42881494 0.56546829
## Proline -0.3113852 0.330416700 0.31610011 0.23618345
## Dilution Proline
## Type -0.788229589 -0.6337168
## Alcohol 0.072343187 0.6437200
## Malic -0.368710428 -0.1920106
## Ash 0.003911231 0.2236263
## Alcalinity -0.276768549 -0.4405969
## Magnesium 0.066003936 0.3933508
## Phenols 0.699949365 0.4981149
## Flavanoids 0.787193902 0.4941931
## Nonflavanoids -0.503269596 -0.3113852
## Proanthocyanins 0.519067096 0.3304167
## Color -0.428814942 0.3161001
## Hue 0.565468293 0.2361834
## Dilution 1.000000000 0.3127611
## Proline 0.312761075 1.0000000
pcawine<-princomp(normwine,cor=TRUE)
pcawine1<-princomp(normwine)
#View(pcawine1)
summary(pcawine1)
## Importance of components:
## Comp.1 Comp.2 Comp.3 Comp.4 Comp.5
## Standard deviation 2.3462411 1.5757689 1.1991456 0.96057525 0.93411601
## Proportion of Variance 0.3954249 0.1783626 0.1032910 0.06627984 0.06267875
## Cumulative Proportion 0.3954249 0.5737874 0.6770785 0.74335831 0.80603706
## Comp.6 Comp.7 Comp.8 Comp.9
## Standard deviation 0.8179234 0.74208337 0.58997261 0.54119055
## Proportion of Variance 0.0480556 0.03955707 0.02500244 0.02103871
## Cumulative Proportion 0.8540927 0.89364973 0.91865217 0.93969088
## Comp.10 Comp.11 Comp.12 Comp.13
## Standard deviation 0.51071760 0.47389831 0.40969308 0.358937725
## Proportion of Variance 0.01873615 0.01613203 0.01205691 0.009254584
## Cumulative Proportion 0.95842703 0.97455906 0.98661596 0.995870549
## Comp.14
## Standard deviation 0.239765578
## Proportion of Variance 0.004129451
## Cumulative Proportion 1.000000000
loadings(pcawine)
##
## Loadings:
## Comp.1 Comp.2 Comp.3 Comp.4 Comp.5 Comp.6 Comp.7 Comp.8
## Type 0.394 0.122 0.158 0.200
## Alcohol -0.136 0.484 -0.207 -0.251 -0.135 0.422
## Malic 0.223 0.224 0.470 -0.189 -0.598 -0.374
## Ash 0.316 0.626 -0.250 -0.108 0.167 -0.172
## Alcalinity 0.224 0.612 0.269 0.413
## Magnesium -0.125 0.301 0.131 -0.163 0.778 -0.145 -0.330 -0.149
## Phenols -0.359 0.147 0.191 -0.145 0.148 -0.363
## Flavanoids -0.391 0.151 0.145 -0.112 -0.175
## Nonflavanoids 0.267 0.170 -0.328 -0.433 0.259 -0.611 -0.231
## Proanthocyanins -0.279 0.150 0.463 0.466 -0.423 0.344
## Color 0.530 -0.137 0.425 0.186
## Hue -0.277 -0.278 -0.435 -0.192 0.484
## Dilution -0.351 -0.163 0.166 0.157 -0.144 -0.218
## Proline -0.270 0.366 -0.127 -0.256 0.111
## Comp.9 Comp.10 Comp.11 Comp.12 Comp.13 Comp.14
## Type 0.162 0.199 0.492 0.669
## Alcohol 0.450 -0.311 -0.222 -0.264
## Malic 0.326 0.119
## Ash -0.262 0.125 -0.495 0.192
## Alcalinity 0.119 -0.157 0.475 -0.200
## Magnesium 0.253 -0.128
## Phenols 0.406 0.308 0.297 -0.301 0.360 -0.253
## Flavanoids 0.140 -0.598 0.602
## Nonflavanoids 0.159 -0.241 0.122
## Proanthocyanins -0.266 -0.109 -0.233 0.110
## Color 0.217 0.598 -0.159 -0.179
## Hue 0.212 0.510 0.258
## Dilution -0.456 0.611 0.329 0.135
## Proline -0.545 0.551 0.173 0.216
##
## Comp.1 Comp.2 Comp.3 Comp.4 Comp.5 Comp.6 Comp.7 Comp.8
## SS loadings 1.000 1.000 1.000 1.000 1.000 1.000 1.000 1.000
## Proportion Var 0.071 0.071 0.071 0.071 0.071 0.071 0.071 0.071
## Cumulative Var 0.071 0.143 0.214 0.286 0.357 0.429 0.500 0.571
## Comp.9 Comp.10 Comp.11 Comp.12 Comp.13 Comp.14
## SS loadings 1.000 1.000 1.000 1.000 1.000 1.000
## Proportion Var 0.071 0.071 0.071 0.071 0.071 0.071
## Cumulative Var 0.643 0.714 0.786 0.857 0.929 1.000
wine<-cbind(wine,pcawine1$scores[,1:6])
#View(wine)
newdata<-wine[,14:19]
#View(newdata)
#install.packages("plyr")
library("plyr")
data<-cbind(wine,newdata)
dim(data)
## [1] 178 26
windows()
plot(data)
text(data,rownames(data))
km<-kmeans(data,7)
str(km)
## List of 9
## $ cluster : int [1:178] 6 6 3 1 5 1 3 3 6 6 ...
## $ centers : num [1:7, 1:26] 1 1.79 1 2.45 2.47 ...
## ..- attr(*, "dimnames")=List of 2
## .. ..$ : chr [1:7] "1" "2" "3" "4" ...
## .. ..$ : chr [1:26] "Type" "Alcohol" "Malic" "Ash" ...
## $ totss : num 35149025
## $ withinss : num [1:7] 64767 88910 77664 106629 195221 ...
## $ tot.withinss: num 799118
## $ betweenss : num 34349908
## $ size : int [1:7] 6 19 17 38 43 24 31
## $ iter : int 2
## $ ifault : int 0
## - attr(*, "class")= chr "kmeans"
#View(km)
#install.packages("animation")
#library("animation")
km<-kmeans(data,7)
km$centres
## NULL
km$cluster
## [1] 4 4 4 1 7 1 1 1 4 4 1 1 1 4 1 1 1 4 1 3 3 3 4 4 3 3 4 1 3 4 1 1 4 1 4
## [36] 3 3 4 4 7 3 4 4 7 3 4 4 4 4 1 4 1 4 1 4 4 4 1 1 2 7 5 7 5 6 7 5 2 7 7
## [71] 3 5 5 4 3 5 6 5 7 5 6 7 7 2 2 5 5 2 7 7 5 5 5 6 6 3 7 5 7 5 7 2 5 5 7
## [106] 6 2 5 6 7 2 6 2 5 6 5 5 6 6 2 7 5 6 6 6 6 6 5 6 2 7 2 2 2 7 7 7 2 2 2
## [141] 2 3 2 2 3 3 5 7 7 2 5 5 5 7 7 7 5 3 7 7 2 7 2 7 2 2 7 7 7 7 2 5 7 7 7
## [176] 3 3 2
wine1 <- data.frame(wine,km$cluster)
wine1
## Type Alcohol Malic Ash Alcalinity Magnesium Phenols Flavanoids
## 1 1 14.23 1.71 2.43 15.6 127 2.80 3.06
## 2 1 13.20 1.78 2.14 11.2 100 2.65 2.76
## 3 1 13.16 2.36 2.67 18.6 101 2.80 3.24
## 4 1 14.37 1.95 2.50 16.8 113 3.85 3.49
## 5 1 13.24 2.59 2.87 21.0 118 2.80 2.69
## 6 1 14.20 1.76 2.45 15.2 112 3.27 3.39
## 7 1 14.39 1.87 2.45 14.6 96 2.50 2.52
## 8 1 14.06 2.15 2.61 17.6 121 2.60 2.51
## 9 1 14.83 1.64 2.17 14.0 97 2.80 2.98
## 10 1 13.86 1.35 2.27 16.0 98 2.98 3.15
## 11 1 14.10 2.16 2.30 18.0 105 2.95 3.32
## 12 1 14.12 1.48 2.32 16.8 95 2.20 2.43
## 13 1 13.75 1.73 2.41 16.0 89 2.60 2.76
## 14 1 14.75 1.73 2.39 11.4 91 3.10 3.69
## 15 1 14.38 1.87 2.38 12.0 102 3.30 3.64
## 16 1 13.63 1.81 2.70 17.2 112 2.85 2.91
## 17 1 14.30 1.92 2.72 20.0 120 2.80 3.14
## 18 1 13.83 1.57 2.62 20.0 115 2.95 3.40
## 19 1 14.19 1.59 2.48 16.5 108 3.30 3.93
## 20 1 13.64 3.10 2.56 15.2 116 2.70 3.03
## 21 1 14.06 1.63 2.28 16.0 126 3.00 3.17
## 22 1 12.93 3.80 2.65 18.6 102 2.41 2.41
## 23 1 13.71 1.86 2.36 16.6 101 2.61 2.88
## 24 1 12.85 1.60 2.52 17.8 95 2.48 2.37
## 25 1 13.50 1.81 2.61 20.0 96 2.53 2.61
## 26 1 13.05 2.05 3.22 25.0 124 2.63 2.68
## 27 1 13.39 1.77 2.62 16.1 93 2.85 2.94
## 28 1 13.30 1.72 2.14 17.0 94 2.40 2.19
## 29 1 13.87 1.90 2.80 19.4 107 2.95 2.97
## 30 1 14.02 1.68 2.21 16.0 96 2.65 2.33
## 31 1 13.73 1.50 2.70 22.5 101 3.00 3.25
## 32 1 13.58 1.66 2.36 19.1 106 2.86 3.19
## 33 1 13.68 1.83 2.36 17.2 104 2.42 2.69
## 34 1 13.76 1.53 2.70 19.5 132 2.95 2.74
## 35 1 13.51 1.80 2.65 19.0 110 2.35 2.53
## 36 1 13.48 1.81 2.41 20.5 100 2.70 2.98
## 37 1 13.28 1.64 2.84 15.5 110 2.60 2.68
## 38 1 13.05 1.65 2.55 18.0 98 2.45 2.43
## 39 1 13.07 1.50 2.10 15.5 98 2.40 2.64
## 40 1 14.22 3.99 2.51 13.2 128 3.00 3.04
## 41 1 13.56 1.71 2.31 16.2 117 3.15 3.29
## 42 1 13.41 3.84 2.12 18.8 90 2.45 2.68
## 43 1 13.88 1.89 2.59 15.0 101 3.25 3.56
## 44 1 13.24 3.98 2.29 17.5 103 2.64 2.63
## 45 1 13.05 1.77 2.10 17.0 107 3.00 3.00
## 46 1 14.21 4.04 2.44 18.9 111 2.85 2.65
## 47 1 14.38 3.59 2.28 16.0 102 3.25 3.17
## 48 1 13.90 1.68 2.12 16.0 101 3.10 3.39
## 49 1 14.10 2.02 2.40 18.8 103 2.75 2.92
## 50 1 13.94 1.73 2.27 17.4 108 2.88 3.54
## 51 1 13.05 1.73 2.04 12.4 92 2.72 3.27
## 52 1 13.83 1.65 2.60 17.2 94 2.45 2.99
## 53 1 13.82 1.75 2.42 14.0 111 3.88 3.74
## 54 1 13.77 1.90 2.68 17.1 115 3.00 2.79
## 55 1 13.74 1.67 2.25 16.4 118 2.60 2.90
## 56 1 13.56 1.73 2.46 20.5 116 2.96 2.78
## 57 1 14.22 1.70 2.30 16.3 118 3.20 3.00
## 58 1 13.29 1.97 2.68 16.8 102 3.00 3.23
## 59 1 13.72 1.43 2.50 16.7 108 3.40 3.67
## 60 2 12.37 0.94 1.36 10.6 88 1.98 0.57
## 61 2 12.33 1.10 2.28 16.0 101 2.05 1.09
## 62 2 12.64 1.36 2.02 16.8 100 2.02 1.41
## 63 2 13.67 1.25 1.92 18.0 94 2.10 1.79
## 64 2 12.37 1.13 2.16 19.0 87 3.50 3.10
## 65 2 12.17 1.45 2.53 19.0 104 1.89 1.75
## 66 2 12.37 1.21 2.56 18.1 98 2.42 2.65
## 67 2 13.11 1.01 1.70 15.0 78 2.98 3.18
## 68 2 12.37 1.17 1.92 19.6 78 2.11 2.00
## 69 2 13.34 0.94 2.36 17.0 110 2.53 1.30
## 70 2 12.21 1.19 1.75 16.8 151 1.85 1.28
## 71 2 12.29 1.61 2.21 20.4 103 1.10 1.02
## 72 2 13.86 1.51 2.67 25.0 86 2.95 2.86
## 73 2 13.49 1.66 2.24 24.0 87 1.88 1.84
## 74 2 12.99 1.67 2.60 30.0 139 3.30 2.89
## 75 2 11.96 1.09 2.30 21.0 101 3.38 2.14
## 76 2 11.66 1.88 1.92 16.0 97 1.61 1.57
## 77 2 13.03 0.90 1.71 16.0 86 1.95 2.03
## 78 2 11.84 2.89 2.23 18.0 112 1.72 1.32
## 79 2 12.33 0.99 1.95 14.8 136 1.90 1.85
## 80 2 12.70 3.87 2.40 23.0 101 2.83 2.55
## 81 2 12.00 0.92 2.00 19.0 86 2.42 2.26
## 82 2 12.72 1.81 2.20 18.8 86 2.20 2.53
## 83 2 12.08 1.13 2.51 24.0 78 2.00 1.58
## 84 2 13.05 3.86 2.32 22.5 85 1.65 1.59
## 85 2 11.84 0.89 2.58 18.0 94 2.20 2.21
## 86 2 12.67 0.98 2.24 18.0 99 2.20 1.94
## 87 2 12.16 1.61 2.31 22.8 90 1.78 1.69
## 88 2 11.65 1.67 2.62 26.0 88 1.92 1.61
## 89 2 11.64 2.06 2.46 21.6 84 1.95 1.69
## 90 2 12.08 1.33 2.30 23.6 70 2.20 1.59
## 91 2 12.08 1.83 2.32 18.5 81 1.60 1.50
## 92 2 12.00 1.51 2.42 22.0 86 1.45 1.25
## 93 2 12.69 1.53 2.26 20.7 80 1.38 1.46
## 94 2 12.29 2.83 2.22 18.0 88 2.45 2.25
## 95 2 11.62 1.99 2.28 18.0 98 3.02 2.26
## 96 2 12.47 1.52 2.20 19.0 162 2.50 2.27
## 97 2 11.81 2.12 2.74 21.5 134 1.60 0.99
## 98 2 12.29 1.41 1.98 16.0 85 2.55 2.50
## 99 2 12.37 1.07 2.10 18.5 88 3.52 3.75
## 100 2 12.29 3.17 2.21 18.0 88 2.85 2.99
## 101 2 12.08 2.08 1.70 17.5 97 2.23 2.17
## 102 2 12.60 1.34 1.90 18.5 88 1.45 1.36
## 103 2 12.34 2.45 2.46 21.0 98 2.56 2.11
## 104 2 11.82 1.72 1.88 19.5 86 2.50 1.64
## 105 2 12.51 1.73 1.98 20.5 85 2.20 1.92
## 106 2 12.42 2.55 2.27 22.0 90 1.68 1.84
## 107 2 12.25 1.73 2.12 19.0 80 1.65 2.03
## 108 2 12.72 1.75 2.28 22.5 84 1.38 1.76
## 109 2 12.22 1.29 1.94 19.0 92 2.36 2.04
## 110 2 11.61 1.35 2.70 20.0 94 2.74 2.92
## 111 2 11.46 3.74 1.82 19.5 107 3.18 2.58
## 112 2 12.52 2.43 2.17 21.0 88 2.55 2.27
## 113 2 11.76 2.68 2.92 20.0 103 1.75 2.03
## 114 2 11.41 0.74 2.50 21.0 88 2.48 2.01
## 115 2 12.08 1.39 2.50 22.5 84 2.56 2.29
## 116 2 11.03 1.51 2.20 21.5 85 2.46 2.17
## 117 2 11.82 1.47 1.99 20.8 86 1.98 1.60
## 118 2 12.42 1.61 2.19 22.5 108 2.00 2.09
## 119 2 12.77 3.43 1.98 16.0 80 1.63 1.25
## 120 2 12.00 3.43 2.00 19.0 87 2.00 1.64
## 121 2 11.45 2.40 2.42 20.0 96 2.90 2.79
## 122 2 11.56 2.05 3.23 28.5 119 3.18 5.08
## 123 2 12.42 4.43 2.73 26.5 102 2.20 2.13
## 124 2 13.05 5.80 2.13 21.5 86 2.62 2.65
## 125 2 11.87 4.31 2.39 21.0 82 2.86 3.03
## 126 2 12.07 2.16 2.17 21.0 85 2.60 2.65
## 127 2 12.43 1.53 2.29 21.5 86 2.74 3.15
## 128 2 11.79 2.13 2.78 28.5 92 2.13 2.24
## 129 2 12.37 1.63 2.30 24.5 88 2.22 2.45
## 130 2 12.04 4.30 2.38 22.0 80 2.10 1.75
## 131 3 12.86 1.35 2.32 18.0 122 1.51 1.25
## 132 3 12.88 2.99 2.40 20.0 104 1.30 1.22
## 133 3 12.81 2.31 2.40 24.0 98 1.15 1.09
## 134 3 12.70 3.55 2.36 21.5 106 1.70 1.20
## 135 3 12.51 1.24 2.25 17.5 85 2.00 0.58
## 136 3 12.60 2.46 2.20 18.5 94 1.62 0.66
## 137 3 12.25 4.72 2.54 21.0 89 1.38 0.47
## 138 3 12.53 5.51 2.64 25.0 96 1.79 0.60
## 139 3 13.49 3.59 2.19 19.5 88 1.62 0.48
## 140 3 12.84 2.96 2.61 24.0 101 2.32 0.60
## 141 3 12.93 2.81 2.70 21.0 96 1.54 0.50
## 142 3 13.36 2.56 2.35 20.0 89 1.40 0.50
## 143 3 13.52 3.17 2.72 23.5 97 1.55 0.52
## 144 3 13.62 4.95 2.35 20.0 92 2.00 0.80
## 145 3 12.25 3.88 2.20 18.5 112 1.38 0.78
## 146 3 13.16 3.57 2.15 21.0 102 1.50 0.55
## 147 3 13.88 5.04 2.23 20.0 80 0.98 0.34
## 148 3 12.87 4.61 2.48 21.5 86 1.70 0.65
## 149 3 13.32 3.24 2.38 21.5 92 1.93 0.76
## 150 3 13.08 3.90 2.36 21.5 113 1.41 1.39
## 151 3 13.50 3.12 2.62 24.0 123 1.40 1.57
## 152 3 12.79 2.67 2.48 22.0 112 1.48 1.36
## 153 3 13.11 1.90 2.75 25.5 116 2.20 1.28
## 154 3 13.23 3.30 2.28 18.5 98 1.80 0.83
## 155 3 12.58 1.29 2.10 20.0 103 1.48 0.58
## 156 3 13.17 5.19 2.32 22.0 93 1.74 0.63
## 157 3 13.84 4.12 2.38 19.5 89 1.80 0.83
## 158 3 12.45 3.03 2.64 27.0 97 1.90 0.58
## 159 3 14.34 1.68 2.70 25.0 98 2.80 1.31
## 160 3 13.48 1.67 2.64 22.5 89 2.60 1.10
## 161 3 12.36 3.83 2.38 21.0 88 2.30 0.92
## 162 3 13.69 3.26 2.54 20.0 107 1.83 0.56
## 163 3 12.85 3.27 2.58 22.0 106 1.65 0.60
## 164 3 12.96 3.45 2.35 18.5 106 1.39 0.70
## 165 3 13.78 2.76 2.30 22.0 90 1.35 0.68
## 166 3 13.73 4.36 2.26 22.5 88 1.28 0.47
## 167 3 13.45 3.70 2.60 23.0 111 1.70 0.92
## 168 3 12.82 3.37 2.30 19.5 88 1.48 0.66
## 169 3 13.58 2.58 2.69 24.5 105 1.55 0.84
## 170 3 13.40 4.60 2.86 25.0 112 1.98 0.96
## 171 3 12.20 3.03 2.32 19.0 96 1.25 0.49
## 172 3 12.77 2.39 2.28 19.5 86 1.39 0.51
## 173 3 14.16 2.51 2.48 20.0 91 1.68 0.70
## 174 3 13.71 5.65 2.45 20.5 95 1.68 0.61
## 175 3 13.40 3.91 2.48 23.0 102 1.80 0.75
## 176 3 13.27 4.28 2.26 20.0 120 1.59 0.69
## 177 3 13.17 2.59 2.37 20.0 120 1.65 0.68
## 178 3 14.13 4.10 2.74 24.5 96 2.05 0.76
## Nonflavanoids Proanthocyanins Color Hue Dilution Proline
## 1 0.28 2.29 5.640000 1.040 3.92 1065
## 2 0.26 1.28 4.380000 1.050 3.40 1050
## 3 0.30 2.81 5.680000 1.030 3.17 1185
## 4 0.24 2.18 7.800000 0.860 3.45 1480
## 5 0.39 1.82 4.320000 1.040 2.93 735
## 6 0.34 1.97 6.750000 1.050 2.85 1450
## 7 0.30 1.98 5.250000 1.020 3.58 1290
## 8 0.31 1.25 5.050000 1.060 3.58 1295
## 9 0.29 1.98 5.200000 1.080 2.85 1045
## 10 0.22 1.85 7.220000 1.010 3.55 1045
## 11 0.22 2.38 5.750000 1.250 3.17 1510
## 12 0.26 1.57 5.000000 1.170 2.82 1280
## 13 0.29 1.81 5.600000 1.150 2.90 1320
## 14 0.43 2.81 5.400000 1.250 2.73 1150
## 15 0.29 2.96 7.500000 1.200 3.00 1547
## 16 0.30 1.46 7.300000 1.280 2.88 1310
## 17 0.33 1.97 6.200000 1.070 2.65 1280
## 18 0.40 1.72 6.600000 1.130 2.57 1130
## 19 0.32 1.86 8.700000 1.230 2.82 1680
## 20 0.17 1.66 5.100000 0.960 3.36 845
## 21 0.24 2.10 5.650000 1.090 3.71 780
## 22 0.25 1.98 4.500000 1.030 3.52 770
## 23 0.27 1.69 3.800000 1.110 4.00 1035
## 24 0.26 1.46 3.930000 1.090 3.63 1015
## 25 0.28 1.66 3.520000 1.120 3.82 845
## 26 0.47 1.92 3.580000 1.130 3.20 830
## 27 0.34 1.45 4.800000 0.920 3.22 1195
## 28 0.27 1.35 3.950000 1.020 2.77 1285
## 29 0.37 1.76 4.500000 1.250 3.40 915
## 30 0.26 1.98 4.700000 1.040 3.59 1035
## 31 0.29 2.38 5.700000 1.190 2.71 1285
## 32 0.22 1.95 6.900000 1.090 2.88 1515
## 33 0.42 1.97 3.840000 1.230 2.87 990
## 34 0.50 1.35 5.400000 1.250 3.00 1235
## 35 0.29 1.54 4.200000 1.100 2.87 1095
## 36 0.26 1.86 5.100000 1.040 3.47 920
## 37 0.34 1.36 4.600000 1.090 2.78 880
## 38 0.29 1.44 4.250000 1.120 2.51 1105
## 39 0.28 1.37 3.700000 1.180 2.69 1020
## 40 0.20 2.08 5.100000 0.890 3.53 760
## 41 0.34 2.34 6.130000 0.950 3.38 795
## 42 0.27 1.48 4.280000 0.910 3.00 1035
## 43 0.17 1.70 5.430000 0.880 3.56 1095
## 44 0.32 1.66 4.360000 0.820 3.00 680
## 45 0.28 2.03 5.040000 0.880 3.35 885
## 46 0.30 1.25 5.240000 0.870 3.33 1080
## 47 0.27 2.19 4.900000 1.040 3.44 1065
## 48 0.21 2.14 6.100000 0.910 3.33 985
## 49 0.32 2.38 6.200000 1.070 2.75 1060
## 50 0.32 2.08 8.900000 1.120 3.10 1260
## 51 0.17 2.91 7.200000 1.120 2.91 1150
## 52 0.22 2.29 5.600000 1.240 3.37 1265
## 53 0.32 1.87 7.050000 1.010 3.26 1190
## 54 0.39 1.68 6.300000 1.130 2.93 1375
## 55 0.21 1.62 5.850000 0.920 3.20 1060
## 56 0.20 2.45 6.250000 0.980 3.03 1120
## 57 0.26 2.03 6.380000 0.940 3.31 970
## 58 0.31 1.66 6.000000 1.070 2.84 1270
## 59 0.19 2.04 6.800000 0.890 2.87 1285
## 60 0.28 0.42 1.950000 1.050 1.82 520
## 61 0.63 0.41 3.270000 1.250 1.67 680
## 62 0.53 0.62 5.750000 0.980 1.59 450
## 63 0.32 0.73 3.800000 1.230 2.46 630
## 64 0.19 1.87 4.450000 1.220 2.87 420
## 65 0.45 1.03 2.950000 1.450 2.23 355
## 66 0.37 2.08 4.600000 1.190 2.30 678
## 67 0.26 2.28 5.300000 1.120 3.18 502
## 68 0.27 1.04 4.680000 1.120 3.48 510
## 69 0.55 0.42 3.170000 1.020 1.93 750
## 70 0.14 2.50 2.850000 1.280 3.07 718
## 71 0.37 1.46 3.050000 0.906 1.82 870
## 72 0.21 1.87 3.380000 1.360 3.16 410
## 73 0.27 1.03 3.740000 0.980 2.78 472
## 74 0.21 1.96 3.350000 1.310 3.50 985
## 75 0.13 1.65 3.210000 0.990 3.13 886
## 76 0.34 1.15 3.800000 1.230 2.14 428
## 77 0.24 1.46 4.600000 1.190 2.48 392
## 78 0.43 0.95 2.650000 0.960 2.52 500
## 79 0.35 2.76 3.400000 1.060 2.31 750
## 80 0.43 1.95 2.570000 1.190 3.13 463
## 81 0.30 1.43 2.500000 1.380 3.12 278
## 82 0.26 1.77 3.900000 1.160 3.14 714
## 83 0.40 1.40 2.200000 1.310 2.72 630
## 84 0.61 1.62 4.800000 0.840 2.01 515
## 85 0.22 2.35 3.050000 0.790 3.08 520
## 86 0.30 1.46 2.620000 1.230 3.16 450
## 87 0.43 1.56 2.450000 1.330 2.26 495
## 88 0.40 1.34 2.600000 1.360 3.21 562
## 89 0.48 1.35 2.800000 1.000 2.75 680
## 90 0.42 1.38 1.740000 1.070 3.21 625
## 91 0.52 1.64 2.400000 1.080 2.27 480
## 92 0.50 1.63 3.600000 1.050 2.65 450
## 93 0.58 1.62 3.050000 0.960 2.06 495
## 94 0.25 1.99 2.150000 1.150 3.30 290
## 95 0.17 1.35 3.250000 1.160 2.96 345
## 96 0.32 3.28 2.600000 1.160 2.63 937
## 97 0.14 1.56 2.500000 0.950 2.26 625
## 98 0.29 1.77 2.900000 1.230 2.74 428
## 99 0.24 1.95 4.500000 1.040 2.77 660
## 100 0.45 2.81 2.300000 1.420 2.83 406
## 101 0.26 1.40 3.300000 1.270 2.96 710
## 102 0.29 1.35 2.450000 1.040 2.77 562
## 103 0.34 1.31 2.800000 0.800 3.38 438
## 104 0.37 1.42 2.060000 0.940 2.44 415
## 105 0.32 1.48 2.940000 1.040 3.57 672
## 106 0.66 1.42 2.700000 0.860 3.30 315
## 107 0.37 1.63 3.400000 1.000 3.17 510
## 108 0.48 1.63 3.300000 0.880 2.42 488
## 109 0.39 2.08 2.700000 0.860 3.02 312
## 110 0.29 2.49 2.650000 0.960 3.26 680
## 111 0.24 3.58 2.900000 0.750 2.81 562
## 112 0.26 1.22 2.000000 0.900 2.78 325
## 113 0.60 1.05 3.800000 1.230 2.50 607
## 114 0.42 1.44 3.080000 1.100 2.31 434
## 115 0.43 1.04 2.900000 0.930 3.19 385
## 116 0.52 2.01 1.900000 1.710 2.87 407
## 117 0.30 1.53 1.950000 0.950 3.33 495
## 118 0.34 1.61 2.060000 1.060 2.96 345
## 119 0.43 0.83 3.400000 0.700 2.12 372
## 120 0.37 1.87 1.280000 0.930 3.05 564
## 121 0.32 1.83 3.250000 0.800 3.39 625
## 122 0.47 1.87 6.000000 0.930 3.69 465
## 123 0.43 1.71 2.080000 0.920 3.12 365
## 124 0.30 2.01 2.600000 0.730 3.10 380
## 125 0.21 2.91 2.800000 0.750 3.64 380
## 126 0.37 1.35 2.760000 0.860 3.28 378
## 127 0.39 1.77 3.940000 0.690 2.84 352
## 128 0.58 1.76 3.000000 0.970 2.44 466
## 129 0.40 1.90 2.120000 0.890 2.78 342
## 130 0.42 1.35 2.600000 0.790 2.57 580
## 131 0.21 0.94 4.100000 0.760 1.29 630
## 132 0.24 0.83 5.400000 0.740 1.42 530
## 133 0.27 0.83 5.700000 0.660 1.36 560
## 134 0.17 0.84 5.000000 0.780 1.29 600
## 135 0.60 1.25 5.450000 0.750 1.51 650
## 136 0.63 0.94 7.100000 0.730 1.58 695
## 137 0.53 0.80 3.850000 0.750 1.27 720
## 138 0.63 1.10 5.000000 0.820 1.69 515
## 139 0.58 0.88 5.700000 0.810 1.82 580
## 140 0.53 0.81 4.920000 0.890 2.15 590
## 141 0.53 0.75 4.600000 0.770 2.31 600
## 142 0.37 0.64 5.600000 0.700 2.47 780
## 143 0.50 0.55 4.350000 0.890 2.06 520
## 144 0.47 1.02 4.400000 0.910 2.05 550
## 145 0.29 1.14 8.210000 0.650 2.00 855
## 146 0.43 1.30 4.000000 0.600 1.68 830
## 147 0.40 0.68 4.900000 0.580 1.33 415
## 148 0.47 0.86 7.650000 0.540 1.86 625
## 149 0.45 1.25 8.420000 0.550 1.62 650
## 150 0.34 1.14 9.400000 0.570 1.33 550
## 151 0.22 1.25 8.600000 0.590 1.30 500
## 152 0.24 1.26 10.800000 0.480 1.47 480
## 153 0.26 1.56 7.100000 0.610 1.33 425
## 154 0.61 1.87 10.520000 0.560 1.51 675
## 155 0.53 1.40 7.600000 0.580 1.55 640
## 156 0.61 1.55 7.900000 0.600 1.48 725
## 157 0.48 1.56 9.010000 0.570 1.64 480
## 158 0.63 1.14 7.500000 0.670 1.73 880
## 159 0.53 2.70 13.000000 0.570 1.96 660
## 160 0.52 2.29 11.750000 0.570 1.78 620
## 161 0.50 1.04 7.650000 0.560 1.58 520
## 162 0.50 0.80 5.880000 0.960 1.82 680
## 163 0.60 0.96 5.580000 0.870 2.11 570
## 164 0.40 0.94 5.280000 0.680 1.75 675
## 165 0.41 1.03 9.580000 0.700 1.68 615
## 166 0.52 1.15 6.620000 0.780 1.75 520
## 167 0.43 1.46 10.680000 0.850 1.56 695
## 168 0.40 0.97 10.260000 0.720 1.75 685
## 169 0.39 1.54 8.660000 0.740 1.80 750
## 170 0.27 1.11 8.500000 0.670 1.92 630
## 171 0.40 0.73 5.500000 0.660 1.83 510
## 172 0.48 0.64 9.899999 0.570 1.63 470
## 173 0.44 1.24 9.700000 0.620 1.71 660
## 174 0.52 1.06 7.700000 0.640 1.74 740
## 175 0.43 1.41 7.300000 0.700 1.56 750
## 176 0.43 1.35 10.200000 0.590 1.56 835
## 177 0.53 1.46 9.300000 0.600 1.62 840
## 178 0.56 1.35 9.200000 0.610 1.60 560
## Comp.1 Comp.2 Comp.3 Comp.4 Comp.5
## 1 -3.513024083 1.44901095 -0.164331927 -0.0132354868 0.7352712495
## 2 -2.521744523 -0.32909093 -2.021005638 -0.4159709585 -0.2824170691
## 3 -2.777194851 1.03401911 0.980471909 0.6623639624 -0.3864747681
## 4 -3.911554382 2.76042344 -0.174475992 0.5634982615 -0.3234473063
## 5 -1.403551861 0.86533209 2.020130938 -0.4396655603 0.2273080377
## 6 -3.278880486 2.12418306 -0.627223018 -0.6036690217 -0.4084741747
## 7 -2.742840318 1.17585305 -0.974588274 -0.3525938619 -1.0213955679
## 8 -2.386135518 1.60674987 0.145319533 -1.2420979161 0.2068543466
## 9 -2.787393428 0.92058266 -1.765943961 -0.1563853889 -0.8560500287
## 10 -2.997142086 0.79404427 -0.980974418 0.2695328266 -0.4705179079
## 11 -3.668340606 1.30883136 -0.420667517 0.0020641733 -0.2591095954
## 12 -2.103700480 0.61125770 -1.188218133 -1.0954534601 -0.5563297061
## 13 -2.431597118 0.67661466 -0.863079058 -0.6569263584 -1.0846618504
## 14 -3.663161193 1.13691426 -1.200382567 -0.2307148420 -1.8174847430
## 15 -4.429081842 2.10438296 -1.258899205 0.2034302321 -0.8421767145
## 16 -2.601585110 1.66173047 0.217020571 -1.5141875503 -0.0993603741
## 17 -2.468465215 2.32434003 0.829262820 -0.8947559752 0.2104437913
## 18 -2.219970165 1.62899496 0.792322900 -1.1470164581 -0.1301127546
## 19 -3.731742493 2.52129300 -0.483468544 -1.0517270184 -0.7203326906
## 20 -2.387676152 1.06153499 -0.164248436 0.5657676657 0.5355417469
## 21 -3.327183368 0.79377365 -0.362828827 0.2460633165 0.9659055564
## 22 -1.477236883 0.23941013 0.933597405 0.8972332665 -0.2092843901
## 23 -2.820113471 -0.08661323 -0.311089177 -0.2063638159 -0.4862010173
## 24 -2.002066457 -0.51416609 0.142851007 -0.5766810317 -0.3755931522
## 25 -2.108687681 -0.31503190 0.887220699 -0.3306825055 -0.6221761937
## 26 -1.393606311 0.93557614 3.809097443 -1.3437600270 0.3416893362
## 27 -2.127486643 0.68516927 -0.087212048 -0.5743975719 -1.1272041930
## 28 -1.625119559 -0.09092753 -1.383913414 -0.6725541885 -0.3736816112
## 29 -2.500553765 0.69080117 1.390249800 -0.9842005795 -0.6296900736
## 30 -2.552283493 0.19492305 -1.089605707 0.1314594809 -0.5732839737
## 31 -2.764645791 1.24284687 1.382356023 -0.4453631101 -0.4093778814
## 32 -2.926877371 1.47412052 -0.330919192 -0.3201106169 0.0574711790
## 33 -1.985647144 0.05310222 -0.167342712 -0.9315926959 -0.4862800756
## 34 -2.239392808 1.63007087 1.168088719 -2.3488460169 0.3504664856
## 35 -1.781959583 0.69551841 0.477611427 -1.0973471140 0.2233640082
## 36 -2.221372441 0.17878459 0.449455981 0.2015024704 -0.2722279181
## 37 -1.763055105 0.65602175 0.456232639 -1.3829910011 -0.0000909193
## 38 -1.518893365 0.11190937 -0.039998863 -1.0962609938 -0.2040317644
## 39 -1.867098082 -0.76714174 -1.422805688 -0.8429806630 -0.0654146334
## 40 -2.789246215 1.80372079 -0.341693195 1.3400651300 0.7390136544
## 41 -2.832944297 0.78395014 -0.117450556 0.5997674680 0.3234324933
## 42 -1.102462188 0.16541830 -0.782362035 0.9753745009 -0.9692610714
## 43 -3.297592710 1.16068133 -0.311321750 0.4527754947 -0.4487258743
## 44 -0.902253275 0.32515521 -0.202014386 1.2465061207 -0.3859798701
## 45 -2.390093523 -0.06671774 -0.653643575 0.8384543292 0.2477136628
## 46 -1.533486566 1.77008445 0.027590759 0.4444440465 -0.5367447936
## 47 -2.982802310 1.19425370 -0.537948354 1.1630797384 -0.9194897999
## 48 -3.050710625 0.65198279 -1.151509681 0.9943126920 -0.2012736508
## 49 -2.312248880 1.24671983 -0.057136838 0.1388179196 -0.4034442457
## 50 -2.951147454 1.75365679 -0.640847869 -0.1453572609 -0.3404551050
## 51 -3.402583023 0.17641815 -1.966734122 1.2019811189 -0.1051906911
## 52 -3.107612066 0.74999309 0.004984078 -0.3655687766 -0.6349122583
## 53 -3.689802644 1.61852620 -0.518406089 0.0391276724 -0.4914206657
## 54 -2.530410292 1.87324374 0.338228062 -1.3272359836 -0.2757676005
## 55 -2.437912181 1.01784394 -0.954877345 -0.0581426554 0.8348386884
## 56 -2.715155381 1.33148772 0.512742467 0.5072379620 0.8573653468
## 57 -2.976919241 1.43957671 -0.610072535 0.3314729598 0.3934957803
## 58 -2.481147879 1.21207339 0.260757766 -0.6786912183 -0.5660882366
## 59 -3.341859666 1.73570661 -0.283934186 0.3148888067 0.1126734748
## 60 0.872463924 -3.06906636 -4.572747016 -0.9563997544 0.6275758550
## 61 1.410681395 -1.38604434 -0.874005360 -3.0912998406 -0.2744946030
## 62 1.709058108 -0.83649642 -1.602551167 -1.5174852564 0.0470183441
## 63 -0.012262270 -1.25914400 -1.779585217 -1.2505752226 -0.0611418366
## 64 -1.827944810 -1.90800383 -0.005293848 0.8946565543 0.0366697373
## 65 0.572919811 -1.90577501 0.676769930 -2.1054805416 0.4774320067
## 66 -0.789244791 -0.75659127 0.572580565 -0.5541012381 0.2292950887
## 67 -2.014349238 -1.86686522 -2.023991089 1.4233673830 -0.7164993234
## 68 -0.142877938 -2.41893339 -1.066506203 0.0393480459 -0.4761304712
## 69 0.749393715 -0.22457552 -0.706161729 -2.5840378504 0.0231580473
## 70 -1.735430290 -1.38709532 -1.232125446 0.0429697814 4.4364724920
## 71 1.472147656 -0.88973874 -0.628170741 -0.9767367476 1.1131030281
## 72 -1.487780934 -0.94526061 1.948340937 0.0977860970 -0.6012808281
## 73 0.692014768 -1.06386229 0.079639585 -0.1550748596 -0.2033526420
## 74 -2.292988910 0.27358675 3.367318406 -0.2951990697 2.3365157106
## 75 -1.629534655 -1.27379658 0.458893645 0.5571709203 1.0990547206
## 76 0.826667392 -2.44082053 -1.559305570 -0.6612385100 0.8440438939
## 77 -0.299586657 -2.14501373 -2.441851283 -0.0049350335 0.2551069248
## 78 1.357349276 -1.38643530 -0.227660494 -0.5636538362 0.9770814485
## 79 -1.092965398 -0.76049755 -1.179046816 -0.1108679886 2.9193995414
## 80 -0.318321791 -1.02188781 1.789772178 0.8905992971 -0.4187367854
## 81 -0.669369362 -3.36104386 -0.355699086 -0.2904468514 0.0829047192
## 82 -0.921511435 -1.44104161 -0.361149182 0.2892456616 -0.2669378978
## 83 0.466177014 -2.37706017 1.331385398 -1.2403044957 -0.6944024953
## 84 2.345799530 -0.09985828 0.470925908 0.3011720470 -1.4601432075
## 85 -0.716202927 -1.46398422 0.609624740 0.8858952722 0.8528328270
## 86 -0.696331774 -2.01654573 -0.253347696 -0.6526096061 0.5329081241
## 87 0.762423688 -2.23121016 0.770097379 -1.0504000997 -0.0129179547
## 88 0.526763293 -2.36901453 2.300558102 -1.1289412214 -0.2076102023
## 89 1.034935645 -1.80278255 0.955565596 -0.5559240661 -0.6826831004
## 90 0.519957513 -2.65290035 0.846122506 -0.3342281562 -1.2758223296
## 91 1.249832965 -2.11877956 -0.048664596 -0.7154600389 -0.7806202456
## 92 1.456600366 -1.85446817 0.777742334 -0.7494541293 -0.3732225821
## 93 1.786207616 -1.56474926 -0.090606491 -0.8470575623 -1.0369338318
## 94 -0.651466573 -2.30189958 0.115233376 1.2876361057 -0.0542681006
## 95 -0.833793070 -2.21131104 0.143248503 0.5972760582 0.8929325984
## 96 -2.254248359 0.18376798 0.789480800 0.1107719397 4.0663648536
## 97 0.553910314 -0.36908618 1.305556225 -0.4963563021 3.3841378308
## 98 -0.912422670 -2.55243922 -1.082317859 0.3189957414 -0.0981641925
## 99 -2.015298555 -1.41622541 -0.227409987 1.0617973221 -0.1452220471
## 100 -1.261867189 -2.15241081 0.748018962 1.0980510341 -0.8215622229
## 101 -0.699459195 -2.36554300 -1.562836762 0.1625605281 0.6465004756
## 102 0.529376478 -2.28889834 -1.494953851 -0.2444700318 0.3501542988
## 103 0.175661199 -1.16151354 1.000937507 0.6641368609 0.0448806635
## 104 0.640933972 -2.67474439 -0.762854448 0.4879971317 0.0251332267
## 105 -0.336756194 -2.09049963 -0.470161381 0.3716630303 -0.3721102369
## 106 1.632606159 -1.72150808 0.942839902 -0.1129215983 -1.1715785634
## 107 0.357763434 -2.16471222 -0.480162069 0.2664561545 -0.5471626790
## 108 1.508862423 -1.35952123 0.285205159 -0.2225251768 -0.5973127479
## 109 -0.030011598 -2.29802529 -0.461615311 1.0126145072 0.2047521677
## 110 -1.405437791 -1.44902406 1.776215153 0.8067413279 0.3142213345
## 111 -1.214817581 -1.40423165 0.141470234 3.9709574525 1.3886533397
## 112 0.287503606 -1.92579398 0.078534098 0.9184270265 -0.0503862244
## 113 1.192733062 -0.76827541 1.992431363 -1.9505827082 -0.4048226953
## 114 0.450347812 -2.26461884 1.058193872 -0.8227905444 0.0084270389
## 115 0.470511600 -1.93592019 1.319756633 -0.2720226700 -0.7938730928
## 116 -0.422208091 -3.85811034 1.340820048 -0.9791292285 -0.4907136803
## 117 0.263632851 -2.81397819 -0.301622915 0.5286856804 0.2322549091
## 118 0.137071803 -1.92302889 0.688550173 0.0008419067 1.0905968925
## 119 2.244146166 -1.26575475 -1.899538915 0.5186917999 -0.9440158700
## 120 0.529252028 -2.21815964 -0.355418409 1.2772205306 -0.2719341234
## 121 -0.639483447 -1.40036246 1.123135333 1.3102893198 0.1558250277
## 122 -1.181035347 0.26022334 5.331659333 0.4232295913 0.3503147235
## 123 1.103828179 -0.66761374 3.000997182 1.0463971104 -0.2082659651
## 124 0.457357792 -0.61814477 0.482109421 3.3300635245 -1.0124024926
## 125 -0.843727170 -1.43506066 1.478597872 3.8010786747 -0.4672855010
## 126 0.116208906 -2.10396851 0.433730192 0.9370399364 -0.5706199849
## 127 0.007066766 -1.26195130 0.686109852 1.2117517948 -0.5507040746
## 128 1.491102408 -1.21225981 3.350613092 -0.4045531092 -0.5827758165
## 129 0.477255414 -1.93482045 1.292892678 0.6692306399 -0.1918360272
## 130 1.659463471 -1.15593073 0.779240086 1.1203010811 -1.1076570698
## 131 1.773941467 0.17183005 -1.175553358 -0.8066887624 2.6710636154
## 132 2.734206054 0.36981404 -0.721605538 0.0090219131 1.3148085834
## 133 3.245142808 0.25683895 -0.167311462 -0.1349493514 1.1336306922
## 134 2.523248571 0.36495915 -0.451519908 0.4463207772 1.5845266541
## 135 2.705392785 -0.46256928 -1.098523718 -0.9732550533 -0.6214219049
## 136 3.339568060 0.34459011 -1.096809718 -0.8707710846 -0.4653633175
## 137 4.105585600 0.14157372 0.219600186 -0.2617053616 -0.5717873043
## 138 4.132471237 0.64539266 1.705885922 0.2423082453 -0.8599124042
## 139 3.356457341 0.33945309 -1.024956287 -0.3781338207 -1.0568608727
## 140 2.705046169 0.28665576 1.238069126 -0.8170712107 -0.1988655388
## 141 3.063004861 0.27901886 0.607095387 -1.0343148309 -0.3775463093
## 142 2.618758258 0.36719705 -0.969247208 -0.4623116185 -0.2649908488
## 143 3.251225399 0.47973752 0.943208733 -1.2210394810 -0.4088805064
## 144 2.696440656 0.47611678 -0.252649495 0.4100798642 -0.9009926235
## 145 2.583559833 1.15424388 -1.241122061 0.7074794712 1.4999146288
## 146 2.945701626 0.55628229 -0.853732986 0.3764587661 0.4772543183
## 147 4.447404469 0.63369144 -1.455803574 0.7936772470 -0.9177679323
## 148 3.818478101 1.25877875 -0.111535135 0.7844840132 -0.8996515477
## 149 3.124835228 1.56024487 -0.471405998 0.5711314663 -0.3545820071
## 150 3.225615029 2.02959917 -0.494455986 0.7943659978 1.2372108549
## 151 2.704934424 2.34725826 0.437160957 0.5260405066 2.1799516027
## 152 2.922695870 2.03623954 -0.310676967 0.8992601375 1.7741733763
## 153 2.244243506 1.52365809 1.359923625 0.3763904736 1.9010819150
## 154 3.088807178 2.12748039 -0.961988851 0.6150367169 -0.4799689521
## 155 3.068400079 0.40365232 -1.186977880 -0.4202871571 0.7767855032
## 156 3.845311076 1.78704838 -0.094754987 1.0014256800 -0.9929652397
## 157 3.199363404 1.91343033 -0.780424797 1.1448242335 -0.8605794321
## 158 3.648203029 1.29891673 1.596585827 -0.6226842135 -0.4871611758
## 159 1.548613374 3.50919410 1.158329264 1.0054843213 -0.6143268621
## 160 2.052494053 2.40077381 0.548025852 0.7489594810 -0.7405670611
## 161 3.428876889 0.72848827 -0.091211835 0.8394013061 -0.6362868496
## 162 2.577218124 1.16803350 -0.101493698 -1.2012463379 0.0178686047
## 163 3.135612031 0.54749143 0.801213829 -0.9623182516 -0.0609850333
## 164 2.917065291 0.69070844 -0.882697528 -0.1303817871 0.7208687878
## 165 3.252651435 1.54423447 -0.981033103 -0.0392067762 -0.2891452141
## 166 3.766961021 0.86985778 -0.465819479 0.3126326238 -0.8957322714
## 167 2.766834344 2.58142276 0.427200494 -0.0081609314 0.5630765673
## 168 3.233494876 1.26428151 -1.210301113 0.2395309073 -0.2911058026
## 169 2.556532083 2.06907266 0.761927237 -0.2060270681 0.5619280216
## 170 2.740997451 2.57781035 1.414277551 0.8070590823 0.8625966388
## 171 3.481375653 -0.25873035 -0.845357270 -0.1243268311 0.5474030675
## 172 3.918081965 0.83503051 -1.336577475 -0.2311936957 -0.3968441849
## 173 2.807376194 2.18317766 -0.916342551 -0.0809192597 -0.5584224011
## 174 3.617790848 2.20040992 -0.342700950 0.7495901505 -1.0012845827
## 175 2.934451479 1.74733418 0.206896115 0.3982573193 0.1537892027
## 176 3.018756881 2.74828765 -0.938156609 0.6060488662 1.1249629591
## 177 2.747471377 2.28733179 -0.548925224 -0.3904689551 1.0640813934
## 178 3.486500654 2.75284255 1.010301210 0.3486468140 -1.0023088794
## Comp.6 km.cluster
## 1 -0.299870285 4
## 2 -0.881821897 4
## 3 0.467522784 4
## 4 0.261877693 1
## 5 -0.592091911 7
## 6 0.257549435 1
## 7 -0.461318788 1
## 8 -1.385078298 1
## 9 0.014200394 4
## 10 0.296824392 4
## 11 -0.039608393 1
## 12 -0.402839920 1
## 13 -0.019228886 1
## 14 1.007162809 4
## 15 0.999317750 1
## 16 -0.242466994 1
## 17 -0.058218077 1
## 18 0.416688871 4
## 19 0.628974362 1
## 20 -1.539171921 3
## 21 -0.209642356 3
## 22 -1.428156526 3
## 23 -0.902334794 4
## 24 -0.718269083 4
## 25 -0.794752935 3
## 26 -0.402163166 3
## 27 -0.422939777 4
## 28 -0.602774581 1
## 29 -0.431454399 3
## 30 -0.277472234 4
## 31 0.713866790 1
## 32 0.240108848 1
## 33 -0.057690245 4
## 34 -0.284540201 1
## 35 -0.735179399 4
## 36 -0.168560672 3
## 37 -0.605385994 3
## 38 -0.391546036 4
## 39 -0.422070033 4
## 40 -1.820501661 7
## 41 0.557519813 3
## 42 -1.462007047 4
## 43 -0.648223001 4
## 44 -1.353471972 7
## 45 0.179614653 3
## 46 -2.002738367 4
## 47 -0.986220329 4
## 48 0.282434224 4
## 49 0.491698285 4
## 50 0.804611992 1
## 51 1.152980538 4
## 52 0.002237947 1
## 53 0.346676846 4
## 54 -0.147123569 1
## 55 -0.493709673 4
## 56 0.391682959 4
## 57 0.055297521 4
## 58 -0.136972484 1
## 59 0.417084706 1
## 60 -0.426045638 2
## 61 0.152434953 7
## 62 0.617836491 5
## 63 -0.346688437 7
## 64 1.047242469 5
## 65 -0.099139879 6
## 66 1.122951649 7
## 67 1.566971920 5
## 68 0.162764044 2
## 69 -0.154940168 7
## 70 -0.020812920 7
## 71 -0.007906407 3
## 72 0.167019457 5
## 73 -0.400096324 5
## 74 -0.221683253 4
## 75 0.210301280 3
## 76 -0.037841594 5
## 77 0.659979492 6
## 78 -1.119885983 5
## 79 1.124975428 7
## 80 -0.666877766 5
## 81 0.441263880 6
## 82 0.092873799 7
## 83 0.367243804 7
## 84 -0.007745477 2
## 85 0.778548754 2
## 86 -0.019103207 5
## 87 0.383781568 5
## 88 -0.074222932 2
## 89 0.069969911 7
## 90 0.269446742 7
## 91 0.458952715 5
## 92 0.657109729 5
## 93 0.852424202 5
## 94 -0.510850111 6
## 95 -0.332802174 6
## 96 0.804762977 3
## 97 -1.162363604 7
## 98 0.539790016 5
## 99 1.295585625 7
## 100 0.664255581 5
## 101 -0.272607347 7
## 102 -0.188111924 2
## 103 -0.694597119 5
## 104 0.349604671 5
## 105 -0.128247770 7
## 106 -0.021463123 6
## 107 0.217931676 2
## 108 0.490118164 5
## 109 0.953622220 6
## 110 0.833678846 7
## 111 0.869876391 2
## 112 -0.675978350 6
## 113 -0.459360014 2
## 114 1.068671694 5
## 115 0.139582202 6
## 116 1.134455209 5
## 117 -0.017594189 5
## 118 -0.107969633 6
## 119 -1.012182232 6
## 120 -0.779585278 2
## 121 0.035005832 7
## 122 0.867563096 5
## 123 -1.386416372 6
## 124 -1.741196003 6
## 125 -0.325140690 6
## 126 -0.078218996 6
## 127 0.971757715 6
## 128 0.780342449 5
## 129 0.615942328 6
## 130 -1.145360337 2
## 131 -0.233296306 7
## 132 -0.769022312 2
## 133 -0.135433308 2
## 134 -1.098983957 2
## 135 1.587356834 7
## 136 0.871611928 7
## 137 -1.196250812 7
## 138 -0.992752769 2
## 139 -0.266348943 2
## 140 -0.238758684 2
## 141 -0.578637031 2
## 142 -0.688126304 3
## 143 -1.003947423 2
## 144 -1.421013697 2
## 145 -0.559885466 3
## 146 -0.588365612 3
## 147 -1.672581796 5
## 148 -0.611576644 7
## 149 0.572200837 7
## 150 -0.059912699 2
## 151 -0.129099827 5
## 152 0.762767169 5
## 153 0.885728019 5
## 154 1.678664535 7
## 155 1.740914151 7
## 156 0.031439163 7
## 157 0.417062662 5
## 158 0.828456056 3
## 159 3.463744672 7
## 160 3.080319213 7
## 161 0.371598265 2
## 162 -0.615301793 7
## 163 -0.250060137 2
## 164 -0.807706928 7
## 165 0.604592347 2
## 166 -0.448054067 2
## 167 0.552434551 7
## 168 0.438950275 7
## 169 0.689037383 7
## 170 -1.014221257 7
## 171 -0.495041075 2
## 172 0.893632156 5
## 173 0.863023729 7
## 174 -1.139939246 7
## 175 -0.062289046 7
## 176 0.005275476 3
## 177 1.009714032 3
## 178 0.376162259 2
#km$cluster=3
wine2<-cbind(wine[,1],pcawine1$scores[,7:13])
#wine2