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.

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.

Inputs

• 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,
• lv = the number of latent variables lv.

Outputs

• ypred = y-block predictions.

See Also

lwrxy, polypls, pls