Regression

Functions

Multivariate Linear Regression—Model Fitting

Generates regressors for a general linear model regressors_for_glm

Fits a multivariate linear regression model regression

Multivariate Linear Regression—Statistical Inference and Diagnostics

Produces summary statistics for a regression model regression_summary

Computes predicted values,
confidence intervals, and diagnostics regression_prediction

Construction of a completely testable hypothesis hypothesis_partial

Sums of cross products for a multivariate hypothesis hypothesis_scph

Tests for the multivariate linear hypothesis hypothesis_test

Variable Selection

All best regressions regression_selection

Stepwise regression regression_stepwise

Polynomial and Nonlinear Regression

Fits a polynomial regression model poly_regression

Computes predicted values, confidence intervals, and diagnostics poly_prediction

Fits a nonlinear regression model nonlinear_regression

Fits a nonlinear regression model using Powell's algorithm nonlinear_optimization

Alternatives to Least Squares Regression

LAV, Lpnorm, and LMV criteria regression Lnorm_regression

Performs partial least squares (PLS) regression pls_regression