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-\name{calm}
-\alias{calm}
-\alias{print.calm}
-\alias{predict.calm}
-\alias{summary.calm}
-\title{Generate a calibration model}
-\description{
-  This function fits a calibration model to the data 
-  frame.
-}
-\usage{
-  calm(data)
-}
-\arguments{
-  \item{data}{
-    A data frame with numeric x data in the first column and
-    numeric y data in the second column.
-    }
-}
-\value{
-  An object of class \code{calm}, which is derived from
-  a linear model \code{lm}, the only difference being that
-  it contains the additional attributes \code{xname},
-  \code{yname} and \code{intercept}, the latter being a 
-  boolean reporting wether the model uses an intercept or not.
-} 
-\note{
-  The decision if the returned model contains an intercept is taken based on
-  the significance of the fitted intercept on a significance level of 0.95.
-  The methods \code{\link{print.calm}}, \code{\link{predict.calm}}
-  \code{\link{summary.calm}} are just newly assigned names for the
-  corresponding methods from the class \code{\link{lm}}.
-}
-\examples{
-  data(din32645)
-  calm(din32645)
-}
-\author{
-  Johannes Ranke 
-  \email{jranke@uni-bremen.de} 
-  \url{http://www.uft.uni-bremen.de/chemie/ranke}
-}
-\keyword{regression}