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

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diff --git a/man/predictx.Rd b/man/predictx.Rd
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-\name{predictx}
-\alias{predictx}
-\title{Predict x from y values for calibration models}
-\description{
-  This function predicts x values from y values, as in classical calibration,
-  including a confindence interval.
-}
-\usage{
-  predictx(m,yobs,level=0.95)
-}
-\arguments{
-  \item{m}{
-    A calibration model of type \code{\link{calm}}.
-    }
-  \item{yobs}{ 
-    A vector of observed y values for one sample.
-    }
-  \item{level}{
-    The confidence level for the confidence interval to be reported.
-    }
-}
-\value{
-  A vector containing the estimate (\code{estimate}), its estimated standard
-  deviation (\code{sdxpred}), its estimated confidence (\code{confxpred}).
-} 
-\examples{
-  data(din32645)
-  m <- calm(din32645)
-  r <- predictx(m,3500,level=0.95)
-  cat("\nThe confidence interval is",r[["estimate"]],"+-",r[["confxpred"]],"\n")
-}
-\author{
-  Johannes Ranke 
-  \email{jranke@uni-bremen.de} 
-  \url{http://www.uft.uni-bremen.de/chemie/ranke}
-}
-\keyword{regression}