Multiple Linear Regression

REGRESSORS Function (PV-WAVE Advantage)—Generates regressors for a general linear model.

MULTIREGRESS Function (PV-WAVE Advantage)—Fits a multiple linear regression model and optionally produces summary statistics for a regression model.

MULTIPREDICT Function (PV-WAVE Advantage)—Computes predicted values, confidence intervals, and diagnostics.

Variable Selection

ALLBEST Procedure (PV-WAVE Advantage)—All best regressions.

STEPWISE Procedure (PV-WAVE Advantage)—Stepwise regression.

Polynomial and Nonlinear Regression

POLYREGRESS Function (PV-WAVE Advantage)—Fits a polynomial regression model.

POLYPREDICT Function (PV-WAVE Advantage)—Computes predicted values, confidence intervals, and diagnostics.

NONLINREGRESS Function (PV-WAVE Advantage)—Fits a nonlinear regression model.

Multivariate Linear Regression—Statistical Inference and Diagnostics

HYPOTH_PARTIAL Function (PV-WAVE Advantage)—Construction of a completely testable hypothesis.

HYPOTH_SCPH Function (PV-WAVE Advantage)—Sums of cross products for a multivariate hypothesis.

HYPOTH_TEST Function (PV-WAVE Advantage)—Tests for the multivariate linear hypothesis.

Polynomial and Nonlinear Regression

NONLINOPT Function (PV-WAVE Advantage)—Fit a nonlinear regression model using Powell's algorithm.

Alternatives to Least Squares Regression

LNORMREGRESS Function (PV-WAVE Advantage)—LAV, Lpnorm, and LMV criteria regression.