Nippls

Purpose

NIPALS Partial Least Squares computational engine.

Synopsis

[reg,ssq,xlds,ylds,wts,xscrs,yscrs,bin] = nippls(x,y,ncomp,options)

options = nippls('options')

Description

Performs PLS regression using NIPALS algorithm. INPUTS:

• x = X-block (M by Nx) and
• y = Y-block (M by Ny).

OPTIONAL INPUTS:

• nocomp = number of components {default = rank of X-block}, and
• options = discussed below.

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

• reg = matrix of regression vectors,
• ssq = the sum of squares captured (ssq),
• xlds = X-block loadings,
• ylds = Y-block loadings,
• wts = X-block weights,
• xscrs = X-block scores,
• yscrs = Y-block scores, and
• bin = the inner relation coefficients.

Note: The regression matrices are ordered in reg such that each Ny (number of y variables) rows correspond to the regression matrix for that particular number of latent variables.

Options

• options = a structure containing the fields:
• display: [ 'off' |{'on'}], governs display to command window.

See Also

pls, analysis, simpls