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+\name{calplot}
+\alias{calplot}
+\title{Plot calibration graphs}
+\description{
+	Produce graphics of calibration data, the fitted model as well
+  as prediction and confidence intervals.
+}
+\usage{
+  calplot(x,y,intercept=FALSE,measurand="substance x",xunit="mg/L",yunit="Area",level=0.95)
+}
+\arguments{
+  \item{x}{
+    A vector of x values.
+    }
+  \item{y}{
+    A vector of y values.
+    }
+  \item{intercept}{
+    A boolean describing if the calibration curve is to be forced
+    through zero.
+    }
+  \item{measurand}{ 
+    The name of what is being measured as a character vector.
+    }
+  \item{xunit}{
+    The unit of the given values on the x axis as a character vector.
+    }
+  \item{yunit}{
+    The unit of the y axis as a character vector. Defaults to "Area".
+    }
+  \item{level}{
+    The confidence level of the confidence and prediction bands. Defaults to
+    0.95.
+    }
+}
+\value{
+  A linear model object for y ~ x.  You will also get a plot of the calibration
+  data, of your fitted model as well as lines showing the confidence limits and
+  the prediction limits.
+} 
+\examples{
+data(pahCalibration)
+attach(pahCalibration)
+\dontrun{calplot(conc,phenanthrene,"Phenanthrene","mg/L")}
+detach(pahCalibration)
+}
+\author{
+  Johannes Ranke 
+  \email{jranke@uni-bremen.de} 
+  \url{http://www.uft.uni-bremen.de/chemie/ranke}
+}
+\keyword{regression}