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\name{predict.LinearModel}
\alias{predict.LinearModel}
\title{Predict method for Linear Model Fits}
\description{
Predicted values based on LinearModel object.
}
\usage{
\method{predict}{LinearModel}(object, newdata, interval = c("none", "confidence", "prediction"),
level = 0.95, type = c("response", "terms"), \dots)
}
\arguments{
\item{object}{Object of class inheriting from "LinearModel"}
\item{newdata}{An optional data frame in which to look for variables with which to predict. If omitted, the fitted values are used.}
\item{interval}{Type of interval calculation. Can be abbreviated.}
\item{level}{Tolerance/confidence level.}
\item{type}{Type of prediction (response or model term). Can be abbreviated.}
\item{\dots}{further arguments passed to or from other methods such as \code{lm}.}
}
\details{
See the help of \code{\link{predict.lm}} function.
}
\author{Francois Husson \email{francois.husson@institut-agro.fr}}
\seealso{ \code{\link{LinearModel}}}
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