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\name{sigma_rl}
\alias{sigma_rl}
\title{ Two component error model of Rocke and Lorenzato}
\description{
Function describing the standard deviation of the measurement error
in dependence of the measured value \eqn{y}:
\deqn{\sigma = \sqrt{ \sigma_{low}^2 + y^2 * {rsd}_{high}^2}}{%
sigma = sqrt(sigma_low^2 + y^2 * rsd_high^2)}
}
\usage{
sigma_rl(y, sigma_low, rsd_high)
}
\arguments{
\item{y}{ The magnitude of the observed value }
\item{sigma_low}{ The asymptotic minimum of the standard deviation for low observed values }
\item{rsd_high}{ The coefficient describing the increase of the standard deviation with
the magnitude of the observed value }
}
\value{
The standard deviation of the response variable.
}
\references{
Rocke, David M. und Lorenzato, Stefan (1995) A two-component model for
measurement error in analytical chemistry. Technometrics 37(2), 176-184.
}
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