Compute model-adjusted predictions (fitted values) for a "grid" of regressor values.
predictions(model, variables = NULL, newdata = NULL, conf.level = 0.95, ...)Model object
Character vector. Compute Adjusted Predictions for
combinations of each of these variables. Factor levels are considered at
each of their levels. Numeric variables variables are considered at Tukey's
Five-Number Summaries. NULL uses the original data used to fit the model.
A dataset over which to compute adjusted predictions. NULL uses
the original data used to fit the model.
The confidence level to use for the confidence interval.
No interval is computed if conf.int=NULL. Must be strictly greater than 0
and less than 1. Defaults to 0.95, which corresponds to a 95 percent
confidence interval.
Additional arguments are pushed forward to predict().
A data.frame with a predicted column with predictions.