PLS_Toolbox Documentation: pcrengine	< pcr	percentile >

pcrengine

Purpose

Principal components regression computational engine.

Synopsis

[reg,ssq,loads,scores,pcassq] = pcrengine(x,y,ncomp,options)

Description

PCRENGINE calculates the basic elements of a PCR model (see PCR).

Inputs are x the predictor x-block, and y the predicted y-block.

Optional input ncomp is the number of components to to be calculated (positive integer scalar). If the number of components ncomp is not specified, the routine will return components up to the rank of the x-block. Optional input options. is discussed below.

Outputs are the matrix of regression vectors reg, the sum of squares captured ssq, x-block loadings loads, x-block scores scores, and the PCA ssqtable (pcassq).

Note: The regression matrices are ordered in b such that each Ny (number of y-block variables) rows correspond to the regression matrix for that particular number of principal components.

Options

             options =   a structure array with the following fields:

                    name:   'options', name indicating that this is an options structure, and

              display:  [ 'off' | {'on'} ], governs level of display to command window.

The default options can be retreived using: options = pcrengine('options');.

See Also

analysis, pcr, pls