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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}