summary.mvr.rd

来自「偏最小二乘算法代码及相关说明,在机器学习,实时数值仿真中用得较多」· RD 代码 · 共 45 行

%% $Id: summary.mvr.Rd 92 2006-09-20 17:44:25Z bhm $
\encoding{latin1}
\name{summary.mvr}
\alias{summary.mvr}
\alias{print.mvr}
\alias{print.mvrVal}
\title{Summary and Print Methods for PLSR and PCR objects}
\description{
  Summary and print methods for \code{mvr} and \code{mvrVal} objects.
}
\usage{
\method{summary}{mvr}(object, what = c("all", "validation", "training"),
        digits = 4, print.gap = 2, \dots)
\method{print}{mvr}(x, \dots)
\method{print}{mvrVal}(x, digits = 4, print.gap = 2, \dots)
}
\arguments{
  \item{x, object}{an \code{mvr} object}
  \item{what}{one of \code{"all"}, \code{"validation"} or \code{"training"}}
  \item{digits}{integer.  Minimum number of significant digits in the
    output.  Default is 4.}
  \item{print.gap}{Integer.  Gap between coloumns of the printed tables.}
  \item{\dots}{Other arguments sent to underlying methods.}
}
\details{
  If \code{what} is \code{"training"}, the explained variances are
  given; if it is \code{"validation"}, the cross-validated RMSEPs (if
  available) are given; if it is \code{"all"}, both are given.
}
\value{
  \code{print.mvr} and \code{print.mvrVal} return the object invisibly.
}
\author{Ron Wehrens and Bj鴕n-Helge Mevik}
\seealso{\code{\link{mvr}}, \code{\link{pcr}},
  \code{\link{plsr}}, \code{\link{RMSEP}}, \code{\link{MSEP}}}
\examples{
data(yarn)
nir.mvr <- mvr(density ~ NIR, ncomp = 8, validation = "LOO", data = yarn)
nir.mvr
summary(nir.mvr)
RMSEP(nir.mvr)
}
\keyword{regression}
\keyword{multivariate}