Information Technology Reference
In-Depth Information
RHWratio
FibL
200
0
1800
16
40
20
5
60
1600
300
14
80
10
30
1400
100
12
250
300
VLDratio
350
400
450
500
4
RayH
3.5
1200
15
40
140
10
1000
20
160
500
800
VesD
8
50
VesL
25
600
6
60
30
400
4
NumVes
RayW
RHWratio
FibL
200
0
1800
16
40
20
5
60
1600
300
14
80
30
10
1400
100
12
450
250
4
VLDratio
300
350
3.5
450
500
RayH
120
15
40
140
10
1000
20
160
500
VesD
800
8
50
25
VesL
25
600
6
60
30
400
4
35
NumVes
RayW
Figure 3.24
PCA biplot of
Ocotea
data with two new variables,
VLDratio
and
RHWratio
, added using the regression method. The bottom panel illustrates that added
variables in the form of prediction axes can be used exactly as the original biplot axes
to provide predictions for sample points
S10
and
S35
. These graphical predictions can
be verified with the algebraically determined predictions given in Table 3.15.
