Chapter 2 Regression
Routines
Simple Linear Regression
Simple linear regression analysis
, RONEResponse control by a fitted line
, RINCFInverse prediction by a fitted line
, RINPFMultivariate General Linear Model Analysis
Model Fitting
From raw data for a single dependent variable
, RLSEFrom raw data without classification variables
, RGIVNFrom raw data with classification variables
, RGLMWith linear equality restrictions
, RLEQUStatistical Inference and Diagnostics
Summary statistics for a fitted regression
, RSTATVariance-covariance matrix of the estimated coefficients
, RCOVBConstruction of a completely testable hypothesis
, CESTISums of crossproducts for a multivariate hypothesis
, RHPSSTests for the multivariate linear hypothesis
, RHPTETest for lack of fit based on exact replicates
, RLOFETest for lack of fit based on near replicates
, RLOFNIntervals and diagnostics for individual cases
, RCASEDiagnostics for outliers and influential cases
, ROTINUtilities for Classification Variables
Getting unique values of classification variables
, GCLASGeneration of regressors for a general linear model
, GRGLMVariable Selection
All best regressions via leaps-and-bounds algorithm
, RBESTStepwise regression
, RSTEPGeneralized sweep of a nonnegative definite matrix
, GSWEPRetrieval of a symmetric submatrix from a symmetric matrix
, RSUBMPolynomial Regression and Second-Order Models
Polynomial Regression Analysis
Polynomial fit of known degree
, RCURVPolynomial regression analysis
, RPOLYSecond-Order Model Design
Generation of an orthogonal central composite design
, RCOMPUtility Routines for Polynomial Models and Second-Order Models
Polynomial regression fit
, RFORPSummary statistics for a fitted polynomial model
, RSTAPCase statistics for a fitted polynomial model
, RCASPGeneration of orthogonal polynomials
, OPOLYCentering of variables and generation of crossproducts
, GCSCPTransforming coefficients for a second order model
, TCSCPNonlinear Regression Analysis
Nonlinear regression fit
, RNLINFitting Linear Models Based on Alternative Criteria
Least absolute value regression
, RLAVLeast Lp norm regression
, RLLPLeast maximum value regression
, RLMVPartial Least Squares Regression
, PLSR