The PLS method as applied here has similarities to principal component analysis of
interactions. PLS has the advantage of directly involving the external information in the
fitting of the multi-linear model.
In effect PLS may be best understood as separate PCA of X and of Y at the same time with
component estimates providing prediction of Y from X.
Partial Least Squares Regression 27.2.96
|
|
![[Link Map]](../../icons/smtnavt.gif){kind=icon}