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-\name{mkinerrmin}
-\Rdversion{1.1}
-\alias{mkinerrmin}
-\title{
-Calculate the minimum error to assume in order to pass the variance test
-}
-\description{
-This function uses \code{\link{optimize}} in order to iteratively find the
-smallest relative error still resulting in passing the chi-squared test
-as defined in the FOCUS kinetics report from 2006.
-}
-\usage{
-mkinerrmin(fit, alpha = 0.05)
-}
-\arguments{
-  \item{fit}{
-    an object of class \code{\link{mkinfit}}.
-  }
-  \item{alpha}{
-    The confidence level chosen for the chi-squared test.
-}
-}
-\value{
-  A dataframe with the following components:
-  \item{err.min}{The relative error, expressed as a fraction.}
-  \item{n.optim}{The number of optimised parameters attributed to the data series.}
-  \item{df}{The number of remaining degrees of freedom for the chi2 error level
-    calculations.  Note that mean values are used for the chi2 statistic and
-    therefore every time point with observed values in the series only counts
-    one time.}
-  The dataframe has one row for the total dataset and one further row for
-  each observed state variable in the model.
-}
-\details{
-    This function is used internally by \code{\link{summary.mkinfit}}.
-}
-\references{ 
-  FOCUS (2006) \dQuote{Guidance Document on Estimating Persistence and
-  Degradation Kinetics from Environmental Fate Studies on Pesticides in EU
-  Registration} Report of the FOCUS Work Group on Degradation Kinetics,
-  EC Document Reference Sanco/10058/2005 version 2.0, 434 pp,
-  \url{http://focus.jrc.ec.europa.eu/dk} 
-}
-\keyword{ manip }