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