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% Copyright (c) 2013, 2017, Oracle and/or its affiliates. All rights reserved.
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\name{OREmodels-package}
\alias{OREmodels-package}
\alias{OREmodels}
\docType{package}
\title{Oracle R Enterprise Advanced Analytical Data Modeling Functions}
\description{
The \pkg{OREmodels} package contains functions for advanced analytical data
modeling for \code{ore.frame} input data objects.}
\details{
\tabular{ll}{
Package: \tab OREmodels\cr
Type: \tab Package\cr
Version: \tab 1.5.1\cr
Date: \tab 2017-03-18\cr
Depends: \tab OREbase (>= 1.5.1)\cr
Imports: \tab methods, grDevices, graphics, stats,
              OREcommon, OREembed, OREstats\cr
Suggests: \tab Matrix, MASS, rpart, statmod\cr
License: \tab file LICENSE\cr
LazyLoad: \tab yes\cr
URL: \tab http://www.oracle.com/technetwork/database/database-technologies/r/r-enterprise/documentation/index.html\cr
     \tab https://community.oracle.com/community/developer/english/business_intelligence/data_warehousing/r\cr
}

Index:
\preformatted{
ore.glm             Oracle R Enterprise Generalized Linear Models
ore.lm              Oracle R Enterprise Linear and Stepwise Linear
                    Regression Models
ore.neural          Oracle R Enterprise Multilayer Feed-Forward Neural
                    Network Models
ore.randomForest    Oracle R Enterprise Random Forest Models
}
}
\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{
\link{ore.glm},
\link{ore.lm},
\link{ore.neural}
\link{ore.randomForest}
}
\keyword{package}

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