The inverse prediction works in a variety of cases and is

tested with Examples 7 and 8 from Massart!

I need to compare with the DIN and draper examples, and finish
the package vignette.



git-svn-id: http://kriemhild.uft.uni-bremen.de/svn/chemCal@6 5fad18fb-23f0-0310-ab10-e59a3bee62b4

1 files changed, 0 insertions, 48 deletions

diff --git a/man/plot.calm.Rd b/man/plot.calm.Rd
deleted file mode 100644
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--- a/man/plot.calm.Rd
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-\name{plot.calm}
-\alias{plot.calm}
-\title{Plot calibration graphs from calibration models}
-\description{
-	Produce graphics of calibration data, the fitted model as well
-  as prediction and confidence intervals.
-}
-\usage{
-  plot.calm(x,...,xunit="",yunit="",measurand="",level=0.95)
-}
-\arguments{
-  \item{x}{
-    A calibration model of type \code{\link{calm}}. It is named
-    x here because the generic plot method expects x to be its 
-    first argument.
-    }
-  \item{...}{
-    I just included this because I wanted to avoid the error messages
-    from R CMD check that tell me I should read "Writing R extensions" 
-    which I did ...
-  }
-  \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.
-    }
-  \item{measurand}{ 
-    The name of what is being measured as a character vector.
-    }
-  \item{level}{
-    The confidence level of the confidence and prediction bands. Defaults to
-    0.95.
-    }
-}
-\value{
-  A plot of the calibration data, of your fitted model as well as lines showing
-  the confidence limits and the prediction limits.
-} 
-\examples{
-
-}
-\author{
-  Johannes Ranke 
-  \email{jranke@uni-bremen.de} 
-  \url{http://www.uft.uni-bremen.de/chemie/ranke}
-}
-\keyword{regression}