Linear and Non-Linear Regression.

cr - Continuum Regression for multivariate y.   [demo]
crcvrnd - Cross-validation for continuum regression.   [demo]
crossval - Cross-validation for decomposition and linear regression.   [demo]
fastnnls - Fast non-negative least squares.   [demo]
figmerit - Analytical figures of merit for multivariate calibration.   [demo]
frpcr - Full-ratio PCR calibration and prediction.   [demo]
frpcrengine - Engine for full-ratio PCR regression.   [demo]
leverag - Calculate sample leverages.   [demo]
lwrpred - Predictions based on locally weighted regression models.   [demo]
lwrxy - Predictions based on lwr models with y-distance weighting.   [demo]
modlpred - Predictions using standard model structures.   [demo]
modlrder - Displays model info for standard model structures.   [demo]
nippls - NIPALS Partial Least Squares computational engine.   [demo]
pcr - Principal components regression for multivariate Y.   [demo]
pcrengine - Principal Component Regression computational engine.   [demo]
pls - Partial least squares regression for multivariate Y.   [demo]
plsnipal - NIPALS algorithm for one PLS latent variable.   [demo]
polypls - PLS regression with polynomial inner-relation.   [demo]
regcon - Converts regression model to y = ax + b form.   [demo]
ridge - Ridge regression by Hoerl-Kennard-Baldwin.   [demo]
ridgecv - Ridge regression by cross validation.   [demo]
rinverse - Calculate pseudo inverse for PLS, PCR and RR models.   [demo]
rmse - Calculate Root Mean Square Error.   [demo]
simpls - Partial Least Squares computational engine using SIMPLS algorithm.   [demo]