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-\name{calpredict}
-\alias{calpredict}
-\title{Estimate measurement results including confidence intervals}
-\description{
-  This function generates estimates for x values from y values, including
-  a confidence interval for the x values.  The formulas in this function used
-  for prediction of concentrations from (replicate) measurements are taken from 
-  the "Handbook of Chemometrics and Qualimetrics Part A" by D. L. Massart, 
-  Vandeginste, B. G. M., Buydens, L. M. C., De Jong, S., Lewi, P. J. and
-  Smeyers-Verbeke, J, Elsevier, Amsterdam, 1997 and from the EURACHEM/CITAC
-  report on "Quantifying uncertainty in analytical measurement", 2000, 
-  pp. 111f.
-}
-\usage{
-  calpredict(yobs,xi,yi,xunit="",level=0.95,intercept=FALSE,syobs=FALSE)
-}
-\arguments{
-  \item{yobs}{ 
-    A numeric vector containing the observed data.
-    }
-  \item{xi}{
-    A vector of x values of the calibration. 
-    }
-  \item{yi}{
-    A vector of y values of the calibration. 
-    }
-  \item{xunit}{ 
-    The unit of the given values on the x axis as a character string.
-    }
-  \item{level}{ 
-    The desired confidence level for the confidence interval of the
-    estimates. Defaults to 0.95.
-    }
-  \item{intercept}{ 
-    Logical value determining if an intercept is to be fitted or not. 
-    Default is FALSE.
-    }
-  \item{syobs}{ 
-    If TRUE, a standard deviation for the given y values is 
-    calculated, and the resulting confidence interval will
-    include this variability (not validated yet). If FALSE (default), this
-    standard deviation is not included in the 
-    confidence interval. If a numeric value is given, 
-    it is used for the standard deviation of "real samples",
-    in addition to the standard deviation of the y values
-    in the calibration (also not validated yet).
-    }
-}
-\value{
-  A list containing the estimate, its standard deviation and its 
-  confidence interval.
-} 
-\examples{
-data(pahCalibration)
-attach(pahCalibration)
-y <- c(51.2,51.4,51.1,51.8)
-estimate <- calpredict(y,conc,acenaphthene,xunit="mg/L")
-}
-\author{
-  Johannes Ranke 
-  \email{jranke@uni-bremen.de} 
-  \url{http://www.uft.uni-bremen.de/chemie/ranke}
-}
-\keyword{regression}