Add fitted values, residuals, and other common outputs to the value returned from augment.

augment_columns(
x,
data,
newdata = NULL,
type,
type.predict = type,
type.residuals = type,
se.fit = TRUE,
...
)

## Arguments

x a model original data onto which columns should be added new data to predict on, optional Type of prediction and residuals to compute Type of prediction to compute; by default same as type Type of residuals to compute; by default same as type Value to pass to predict's se.fit, or NULL for no value extra arguments (not used)

## Details

In the case that a residuals or influence generic is not implemented for the model, fail quietly.