Nippls

Purpose

NIPALS Partial Least Squares computational engine.

Synopsis

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

analysis, dspls, pls, plsnipal, simpls