\name{fitted.locfit} \alias{fitted.locfit} \title{ Fitted values for a `"locfit"' object. } \usage{ \method{fitted}{locfit}(object, data=NULL, what="coef", cv=FALSE, studentize=FALSE, type="fit", tr, ...) } \description{Evaluates the fitted values (i.e. evaluates the surface at the original data points) for a Locfit object. This function works by reconstructing the model matrix from the original formula, and predicting at those points. The function may be fooled; for example, if the original data frame has changed since the fit, or if the model formula includes calls to random number generators.} \arguments{ \item{object}{ \code{"locfit"} object. } \item{data}{ The data frame for the original fit. Usually, this shouldn't be needed, especially when the function is called directly. It may be needed when called inside another function. } \item{what}{ What to compute fitted values of. The default, \code{what="coef"}, works with the fitted curve itself. Other choices include \code{"nlx"} for the length of the weight diagram; \code{"infl"} for the influence function; \code{"band"} for the bandwidth; \code{"degr"} for the local polynomial degree; \code{"lik"} for the maximized local likelihood; \code{"rdf"} for the local residual degrees of freedom and \code{"vari"} for the variance function. The interpolation algorithm for some of these quantities is questionable. } \item{cv}{ If \code{TRUE}, leave-one-out cross validated fitted values are approximated. Won't make much sense, unless \code{what="coef"}. } \item{studentize}{ If \code{TRUE}, residuals are studentized. } \item{type}{ Type of fit or residuals to compute. The default is \code{"fit"} for \code{fitted.locfit}, and \code{"dev"} for \code{\link{residuals.locfit}}. Other choices include \code{"pear"} for Pearson residuals; \code{"raw"} for raw residuals, \code{"ldot"} for likelihood derivative; \code{"d2"} for the deviance residual squared; \code{lddot} for the likelihood second derivative. Generally, \code{type} should only be used when \code{what="coef"}. } \item{tr}{ Back transformation for likelihood models. } \item{...}{arguments passed to and from methods.} } \value{ A numeric vector of the fitted values. } \seealso{ \code{locfit}, \code{predict.locfit}, \code{residuals.locfit} } \keyword{smooth} % Converted by Sd2Rd version 0.2-a5.