MINI MINI MANI MO

%
% Copyright (c) 2012, 2014, Oracle and/or its affiliates. All rights reserved. 
%
\name{ore.predict-nnet}
\alias{ore.predict-nnet}
\alias{ore.predict-nnet.formula}
\alias{ore.predict,nnet.formula-method}
\title{Oracle R Enterprise Predictions Using \code{\link[nnet]{nnet}} Models}
\description{
  Oracle R Enterprise method for generating predictions using
  \code{\link[nnet]{nnet}} models.
}
\usage{
  \S4method{ore.predict}{nnet.formula}(object, newdata, type = c("raw", "class"),
            na.action = na.pass, ...)
}
\arguments{
  \item{object}{An \code{\link[nnet]{nnet}} model object.}
  \item{newdata}{An \code{\link[OREbase:ore.frame-class]{ore.frame}}
    object.}
  \item{type}{A character string specifying the type of prediction to
    make; either \code{"raw"} or \code{"class"}.}
  \item{na.action}{The manner in which \code{NA} values are handled,
    either \code{na.omit} or \code{na.pass}.}
  \item{\dots}{Optional arguments.}
}
\value{
  Returns an object of an \code{\link[OREbase:ore-class]{ore}} subclass.
}
\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[nnet]{predict.nnet}}.
}
\examples{
library(nnet)
model <- nnet(Species ~ ., data = iris, size = 2, rang = 0.1,
              decay = 5e-4, maxit = 200, trace = FALSE)
IRIS <- ore.push(iris)
IRIS <- cbind(IRIS, ore.predict(model, IRIS))
}
\keyword{models}