Agriculture Reference
In-Depth Information
Component matrix(
a
)
Component
1
2
3
4
5
6
X1
.657
.243
.135
.068
.019
.583
X2
.326
.225
.338
.587
.328
.053
X3
.373
.513
.514
.232
.140
.251
X4
.088
.397
.332
.633
-.118
.391
X5
.223
.447
.459
.449
.141
.300
X6
.129
.555
.119
.274
.535
.334
X7
.512
.529
.263
.408
.083
.105
X8
.004
.804
.135
.210
.469
.012
X9
.211
.323
.559
.584
.043
.142
X10
.399
.096
.692
.072
.272
.071
X11
.859
.109
.085
.340
.187
.106
X12
.851
.056
.181
.208
.276
.074
X13
.665
.082
.545
.073
.028
.367
X14
.540
.565
.307
.008
.176
.134
X15
.351
.178
.760
.075
.233
.071
X16
.289
.701
.174
.080
.456
.245
X17
.723
.158
.390
.427
.036
.155
X18
.654
.222
.305
.542
.026
.229
X19
.307
.651
.005
.272
.527
.131
Extraction method: principal component analysis
a
Six components extracted
Component score coefficient matrix
Component
1
2
3
4
5
6
X1
.141
.071
.047
.029
.013
.518
X2
.070
.065
.117
.248
.229
.047
X3
.080
.149
.177
.098
.097
.223
X4
.019
.116
.115
.268
.082
.348
X5
.048
.130
.159
.190
.098
.267
X6
.028
.161
.041
.116
.373
.297
X7
.110
.154
.091
.172
.058
.094
X8
.001
.234
.047
.089
.327
.011
X9
.045
.094
.193
.247
.030
.126
X10
.086
.028
.239
.030
.190
.063
X11
.184
.032
.029
.144
.130
.094
X12
.182
.016
.063
.088
.193
.066
X13
.142
.024
.188
.031
.019
.326
X14
.116
.164
.106
.003
.123
.119
X15
.075
.052
.262
.032
.162
.063
X16
.062
.204
.060
.034
.318
.218
X17
.155
.046
.135
.180
.025
.138
X18
.140
.065
.105
.229
.018
.204
X19
.066
.189
.002
.115
.367
.117
Extraction method: principal component analysis
