Plsnipal

From Eigenvector Documentation Wiki

Contents 1 Purpose 2 Synopsis 3 Description 3.1 Inputs 3.2 Outputs 4 See Also

Purpose

Calculate a single latent variable for partial least squares (PLS) regression.

Synopsis

[p,q,w,t,u] = plsnipal(x,y)

Description

PLSNIPAL is called by the routine pls to calculate each latent variable in a partial least squares regression.

Inputs

• x = x-block input data (for first PLS latent variable), or x-block residuals (for subsequent latent variables)
• y = y-block input data (for first PLS latent variable), or y-block residuals (for subsequent latent variables)

Outputs

• p = x-block latent variable loadings
• q = y-block latent variable loadings
• w = x-block latent variable weights
• t = x-block latent variable scores
• u = y-block latent variable scores

See Also

analysis, dspls, nippls, pls, simpls