Usage:

residuals(object, data, cv=F, studentize=F, type="dev")

Arguments:

object

"locfit" object.

data

The data frame for the original fit. Usually, shouldn't be needed.

cv

If TRUE, leave-one-out cross validated residuals are approximated.

studentize

If TRUE, residuals are studentized.

type

Type of fit or residuals to compute. The default is "fit" for fitted.locfit, and "dev" for residuals.locfit. Other choices include "pear" for Pearson residuals; "raw" for raw residuals, "ldot" for likelihood derivative; "d2" for the deviance residual squared; lddot for the likelihood second derivative. Generally, type should only be used when what="coef".

Description:

residuals.locfit is implemented as a front-end to fitted.locfit, with the type argument set.

Value:

A numeric vector of the residuals.

Key Words:

locfit