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\name{plot-methods}
\docType{methods}
\alias{plot-methods}
\alias{plot,ANY,ANY-method}
\alias{plot,fREG,missing-method}
\title{Regression Model Plot Methods}
\description{
Plots results obtained from a fitted regression model.
}
\usage{
\S4method{plot}{fREG,missing}(x, which = "ask", \dots)
}
\arguments{
\item{x}{
an object of class 'fREG'.
}
\item{which}{
a character string selecting which plot should be displayed.
By default \code{which="ask"} which allows to generate plots
interactively.
}
\item{\dots}{
additional arguments to be passed to the underlying plot
functions.
}
}
\section{Methods}{
\describe{
\item{x = "ANY", y = "ANY"}{
Generic function.
}
\item{x = "fREG", y = "missing"}{
Plot function to display results obtained from a fitted
regression model.
}
}
}
\details{
The plots are a set of graphs which are common to the regression
models implemented in the function \code{regFit}. This includes
linear regression models \code{use="lm"},
robust linear regression models \code{use="rlm"},
generalized linear regression models \code{use = "glm"},
generalized additive regression models \code{use = "gam"},
projection pursuit regression models \code{use = "ppr"},
neural network regression models \code{use = "nnet"}, and
polychotomous MARS models \code{use = "polymars"}.
In addition one can also use the original plot functions of the
original models, .e.g. \code{plot(slot(object, "fit")}.
}
\author{
Diethelm Wuertz for the Rmetrics \R-port.
}
\examples{
## regSim -
x = regSim(model = "LM3", n = 50)
## regFit -
fit = regFit(Y ~ X1 + X2 + X3, data = x, use = "lm")
## plot -
}
\keyword{models}
|
