|
|
|
| PLS_Toolbox Documentation: polypls | < polyinterp | polypred > |
polypls
Purpose
Calculate partial least squares regression models with polynomial inner relations.
Synopsis
[p,q,w,t,u,b,ssqdif] = polypls(x,y,lv,n)
Description
POLYPLS creates a partial least squares regression model with polynomial fit for the inner relation. Inputs are a matrix of predictor variables (x-block) x, a matrix of predicted variables (y-block) y, the number of latent variables lv, and the order of the polynomial n.
Outputs are p the x-block latent variable loadings, q the y-block variable loadings, w the x-block latent variable weights, t the x-block latent variable scores, u the y-block latent variable scores, b a matrix of polynomial coefficients for the inner relationship, and ssqdif a table of x- and y-block variance captured by the PLS model.
Use POLYPRED to make predictions with new data.
See Also
| < polyinterp | polypred > |