1\name{residuals.nlrq}
2\alias{residuals.nlrq}
3\title{ Return residuals of an nlrq object }
4\description{
5Set algorithmic parameters for nlrq (nonlinear quantile regression function)
6}
7\usage{
8\method{residuals}{nlrq}(object, type = c("response", "rho"), ...)
9}
10\arguments{
11  \item{object}{an `nlrq' object as returned by function `nlrq'}
12  \item{type}{the type of residuals to return: "response" is the distance
13  between observed and predicted values; "rho" is the weighted distance used
14  to calculate the objective function in the minimisation algorithm as
15  tau * pmax(resid, 0) + (1 - tau) * pmin(resid, 0), where resid are the
16  simple residuals as above (with type="response").
17  }
18  \item{...}{further arguments passed to or from other methods.}
19}
20\seealso{  \code{\link{nlrq}} }
21
22\keyword{models}
23\keyword{regression}
24\keyword{nonlinear}
25