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%
% Copyright (c) 2013, 2014, Oracle and/or its affiliates. All rights reserved.
%
\name{ore.predict-princomp}
\alias{ore.predict-princomp}
\alias{ore.predict,princomp-method}
\title{
Oracle R Enterprise - Previsioni mediante i modelli \code{\link[stats]{princomp}}
}
\description{
Metodo di Oracle R Enterprise per la generazione delle previsioni
  mediante i modelli \code{\link[stats]{princomp}}.
}
\usage{
  \S4method{ore.predict}{princomp}(object, newdata, ...)
}
\arguments{
  \item{object}{
Oggetto \code{\link[stats]{princomp}}.
}
  \item{newdata}{
Oggetto
    \code{\link[OREbase:ore.frame-class]{ore.frame}}.
}
  \item{\dots}{
Argomenti facoltativi.
}
}
\value{
Restituisce un oggetto \code{\link[OREbase:ore.frame-class]{ore.frame}} che
  contiene le colonne ruotate di \code{newdata}.
}
\references{
  \href{http://www.oracle.com/technetwork/database/database-technologies/r/r-enterprise/documentation/index.html}{Oracle R Enterprise}
}
\author{
  Oracle \email{oracle-r-enterprise@oracle.com}
}
\seealso{
  \code{\link{ore.predict}},
  \code{\link[stats]{princomp}}.
}
\examples{
irisModel <- princomp(~ Sepal.Length + Sepal.Width + Petal.Length + Petal.Width,
                      data = iris)
IRIS <- ore.push(iris)
IRIS <- cbind(IRIS, ore.predict(irisModel, IRIS))
}
\keyword{multivariate}

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