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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{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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