Polypred
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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.