Polypred

Purpose

Make predictions for partial least squares regression models with polynomial inner relations.

Synopsis

ypred = polypred(x,b,p,q,w,lv)

Description

POLYPRED uses parameters created by the routine POLYPLS to make predictions from a new x-block matrix of predictor variables x. Inputs are b a matrix of polynomial coefficients for the inner relationship, p the x-block latent variable loadings, q the y-block variable loadings, w the x-block latent variable weights, and the number of latent variables lv. Note: It is important that the scaling of the new data x is the same as that used to create the model parameters in POLYPLS.

See Also

lwrxy, polypls, pls