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.
model.data(model, ...)
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. |
A data frame
Paul Johnson <pauljohn@ku.edu>
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