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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}