Linear and Non Linear Regression

ann - Predictions based on Artificial Neural Network (ANN) regression models.

cls - Classical Least Squares regression for multivariate Y.

cr - Continuum Regression for multivariate y.

crcvrnd - Cross-validation for continuum regression.

crossval - Cross-validation for decomposition and linear regression.

fastnnls - Fast non-negative least squares.

figmerit - Analytical figures of merit for multivariate calibration.

frpcr - Full-ratio PCR calibration and prediction.

frpcrengine - Engine for full-ratio PCR regression.

leverag - Calculate sample leverages.

lwr - Locally weighted regression for univariate Y.

lwrpred - Engine for locally weighted regression models.

mlr - Multiple Linear Regression for multivariate Y.

mlrengine - Multiple Linear Regression computational engine.

modlpred - Predictions using standard model structures.

modlrder - Displays model info for standard model structures.

nippls - NIPALS Partial Least Squares computational engine.

pcr - Principal components regression for multivariate Y.

pcrengine - Principal Component Regression computational engine.

pls - Partial least squares regression for multivariate Y.

plsnipal - NIPALS algorithm for one PLS latent variable.

polypls - PLS regression with polynomial inner-relation.

regcon - Converts regression model to y = ax + b form.

ridge - Ridge regression by Hoerl-Kennard-Baldwin.

ridgecv - Ridge regression by cross validation.

rinverse - Calculate pseudo inverse for PLS, PCR and RR models.

rmse - Calculate Root Mean Square Error.

simpls - Partial Least Squares computational engine using SIMPLS algorithm.

svm - SVM Support Vector Machine for regression.

svmda - SVM Support Vector Machine for classification.

varcapy - Calculate percent y-block variance captured by a PLS regression model.

vip - Calculate Variable Importance in Projection from regression model.

xgb - Gradient Boosted Tree Ensemble for regression using XGBoost.

(Sub topic of Categorical_Index)