![](v3_space.gif) |
![](v3_space.gif) |
![](v3_space.gif) |
![](v3_space.gif) |
![](v3_space.gif) |
![](v3_space.gif) |
![](v3_space.gif) |
![](v3_space.gif) |
![](v3_space.gif) |
![](v3_space.gif) |
![](v3_space.gif) |
![](v3_space.gif) |
q |
Based on the previous analysis, we wish to use
predictors
|
|
|
that are independent of each other
|
|
|
è r12 = 0
|
|
|
è minimum useful correlation = 0.
|
|
|
q |
The worst predictors are r12 =
1.0
|
|
|
|
|
q |
The desire for independent predictors is part of the
|
|
|
|
motivation for Empirical Orthogonal Function (EOF)
|
|
|
|
analysis.
|
|
|
q |
EOF attempts to find a relatively small number of
|
|
|
|
independent quantities which convey as much of the
|
|
|
|
original information as possible without redundancy.
|
|