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