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), given a matching set of x-block and y-block data belonging to the same set of samples.

Inputs

• x = the x-block data, and
• y = the corresponding y-block data.

Optional Inputs

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

Outputs

• reg = the matrix of regression vectors
• ssq = the sum of squares captured ssq
• loads = x-block loadings
• scores = x-block scores
• pcassq = the PCA sum-of-squares table

Options

options = a structure array with the following fields:

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

• sortorder: [ {'x'} | 'y' ], governs order of factors in outputs. 'x' is standard PCR sort order (ordered in terms of X block variance captured). 'y' is Correlation PCR sort order (ordered in terms of Y block variance captured).

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

See Also

analysis, pcr, pls