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lyngby_opls

(export/lyngby/lyngby_opls.m)


Function Synopsis

[U,S,V] = lyngby_opls(X,Y, arg1, arg2, arg3, arg4);

Help text

 lyngby_opls          - Orthonormalized PLS

       function [U,S,V] = lyngby_opls(X,Y, 'PropertyName',
           'PropertyValue');

	Input:	X   First datamatrix (not orthonormalized)
               Y   Second datamatrix (Orthonormalized)

       Property: Components  [ {5} | Integer ] Number of eigenvalues
                             maintained  

       Output: U   Canonical sequence (canonical vectors - sequence)
               S   Canonical values (canonical values)
               V   Canonical image (canonical vectors - images)

       Orthonormalized partial least square. Y is normalized with its
       dispersionmatrix, and X is not normalized, - it has its full
       variance maintained. (A design matrix is suitable as the Y,
       and the data matrix is suitable as X.)

       The data matrix X is not centered. 

       Only canonical values larger than max(size(C)) * norm(C) * eps 
       will be returned.

       See also LYNGBY, LYNGBY_SVD, LYNGBY_CVA, LYNGBY_SOP_MAIN.

 $Id: lyngby_opls.m,v 1.6 2002/12/17 17:47:35 fnielsen Exp $

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