TIBCO Statistica® General Regression Models

Last updated:
12:30pm Sep 29, 2020

General Regression Models (GRM) is "general" regression module that applies the methods of the general linear model, allowing it to build models for designs with multiple-degrees-of-freedom effects for categorical predictor variables, as well as for designs with single-degree-of-freedom effects for continuous predictor variables. Users can implements stepwise and best-subset model-building techniques for Analysis of Variance (ANOVA), regression, and analysis of covariance (ANCOVA) designs. The module uses the least squares methods of the general linear model to build models and to estimate and test hypotheses about effects included in the final model.

GRM offers most of the analysis options of GLM and provides model-building methods for finding the "best" model from a number of possible models.