is an option for LinearModelFit and other fitting functions that specifies whether a constant term should be included if not explicitly given in the list of basis functions.
- The default setting IncludeConstantBasis->True adds a constant basis to the model if one is not specified in the list of basis functions.
- Linear and generalized linear models typically compare the fitted model to the mean response model, which contains only a constant basis function.
- Setting IncludeConstantBasis->False can be used to fit models without a constant basis function.
Examplesopen allclose all
Basic Examples (1)
Fit a simple linear regression model:
Fit the linear model with intercept zero:
Fit a generalized linear model:
Fit the model without a constant term in the linear predictor:
Fit logit models with and without a constant term: