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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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