Agriculture Reference
In-Depth Information
Analysis 1
Summary of canonical discriminant functions
Eigenvalues
Function
Eigenvalue
% of variance
Cumulative %
Canonical Correlation
28.240
a
1
84.6
84.6
.983
4.258
a
2
12.8
97.3
.900
.893
a
3
2.7
100.0
.687
a. First 3 canonical discriminant functions were used in the analysis
Wilks' Lambda
Test of Function(s)
Wilks' Lambda
Chi-square
df
Sig.
1 through 3
.003
139.000
57
.000
2 through 3
.100
56.299
36
.017
3
.528
15.633
17
.550
Standardized Canonical Discriminant Function Coefficients
Function
1
2
3
x1
1.189
1.256
-.354
x2
.561
.322
.213
x3
.554
.048
.248
x4
.551
.648
.086
x5
.941
.455
.866
x6
.265
.109
.001
x7
.925
.271
.532
x8
.541
1.773
.597
x9
1.304
.430
.712
x10
1.627
1.162
.017
x11
2.678
2.685
.431
x12
.497
3.419
.282
x13
1.444
.101
.760
x14
.561
.816
.178
x15
1.556
1.370
.792
x16
.145
2.966
.965
x17
.515
.126
2.887
x18
.339
.451
3.530
x19
.404
1.524
.493
Structure Matrix
Function
1
2
3
.342
*
x11
.106
.244
.111
*
x10
.027
.096
.093
*
x15
.005
.035
.049
*
x2
.009
.041
.285
*
x16
.078
.114
.192
*
x6
.055
.141
.148
*
x19
.010
.106
.077
*
x17
.057
.051
.518
*
x1
.114
.060
.394
*
x8
.006
.092
.377
*
x7
.109
.060
(continued)
