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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 $

### Cross-Reference Information

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