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| PLS_Toolbox Documentation: polypred | < polypls | preprocess > |
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
| < polypls | preprocess > |