Regression¶
Functions¶
Multivariate Linear Regression—Model Fitting¶
Generates regressors for a general linear model regressorsForGlm
Fits a multivariate linear regression model regression
Multivariate Linear Regression—Statistical Inference and Diagnostics¶
Produces summary statistics for a regression model regressionSummary
Computes predicted values,
confidence intervals, and diagnostics regressionPrediction
Construction of a completely testable hypothesis hypothesisPartial
Sums of cross products for a multivariate hypothesis hypothesisScph
Tests for the multivariate linear hypothesis hypothesisTest
Polynomial and Nonlinear Regression¶
Fits a polynomial regression model polyRegression
Computes predicted values, confidence intervals, and diagnostics polyPrediction
Fits a nonlinear regression model nonlinearRegression
Fits a nonlinear regression model using Powell’s algorithm nonlinearOptimization
Alternatives to Least Squares Regression¶
LAV, Lpnorm, and LMV criteria regression lnormRegression
Performs partial least squares (PLS) regression plsRegression