Create a "raw" (UNTRANSFORMED) data frame equivalent to the input data that would be required to fit the given model.

This is a generic method. Unlike model.frame and model.matrix, this does not return transformed variables. It deals with regression formulae that have functions like poly(x, d) in them. It differentiates x from d in those expressions. And it also manages log(x + 10). The default method works for standarad R regression models like lm and glm.

Usage

model.data(model, ...)

Arguments

model

A fitted regression model in which the data argument is specified. This function will fail if the model was not fit with the data option.

...

Arguments passed to implementing methods.

Value

A data frame

Author

Paul Johnson pauljohn@ku.edu