 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
q |
The EOF analysis asks that the projection coefficients are
determined in
|
|
|
such a way that:
|
|
|
(1) z1
explains the maximum possible amount of the variance of the x’s;
|
|
|
(2) z2
explains the maximum possible amount of the remaining variance
|
|
|
of the x’s;
|
|
|
(3) so forth for the
remaining z’s.
|
|
|
q |
With these requirements, it can be shown mathematically that the
|
|
|
projection coefficient functions (eij)
are the eigenvectors of the covariance
|
|
matrix of x’s.
|
|
|
q |
The fraction of the total variance explained by a
particular eigenvector is
|
|
|
equal to the ratio of that eigenvalue to the sum of all eigenvalues.
|
|