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% File src/library/datasets/man/stackloss.Rd
% Part of the R package, https://www.R-project.org
% Copyright 1995-2007 R Core Team
% Distributed under GPL 2 or later
\name{stackloss}
\docType{data}
\alias{stackloss}
\alias{stack.loss}
\alias{stack.x}
\title{Brownlee's Stack Loss Plant Data}
\description{
Operational data of a plant for the oxidation of ammonia to nitric
acid.
}
\usage{
stackloss
stack.x
stack.loss
}
\format{
\code{stackloss} is a data frame with 21 observations on 4 variables.
\tabular{rll}{
[,1] \tab \code{Air Flow} \tab Flow of cooling air\cr
[,2] \tab \code{Water Temp} \tab Cooling Water Inlet
Temperature\cr
[,3] \tab \code{Acid Conc.} \tab Concentration of acid [per
1000, minus 500]\cr
[,4] \tab \code{stack.loss} \tab Stack loss\cr
}
For compatibility with S-PLUS, the data sets \code{stack.x}, a matrix
with the first three (independent) variables of the data frame, and
\code{stack.loss}, the numeric vector giving the fourth (dependent)
variable, are provided as well.
}
\source{
Brownlee, K. A. (1960, 2nd ed.\sspace{}1965)
\emph{Statistical Theory and Methodology in Science and Engineering}.
New York: Wiley. pp.\sspace{}491--500.
}
\details{
\dQuote{Obtained from 21 days of operation of a plant for the
oxidation of ammonia (NH\eqn{_3}{3}) to nitric acid
(HNO\eqn{_3}{3}). The nitric oxides produced are absorbed in a
countercurrent absorption tower}.
(Brownlee, cited by Dodge, slightly reformatted by MM.)
\code{Air Flow} represents the rate of operation of the plant.
\code{Water Temp} is the temperature of cooling water circulated
through coils in the absorption tower.
\code{Acid Conc.} is the concentration of the acid circulating, minus
50, times 10: that is, 89 corresponds to 58.9 per cent acid.
\code{stack.loss} (the dependent variable) is 10 times the percentage
of the ingoing ammonia to the plant that escapes from the absorption
column unabsorbed; that is, an (inverse) measure of the over-all
efficiency of the plant.
}
\references{
Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988)
\emph{The New S Language}.
Wadsworth & Brooks/Cole.
Dodge, Y. (1996)
The guinea pig of multiple regression. In:
\emph{Robust Statistics, Data Analysis, and Computer Intensive
Methods; In Honor of Peter Huber's 60th Birthday}, 1996,
\emph{Lecture Notes in Statistics} \bold{109}, Springer-Verlag, New York.
}
\examples{
require(stats)
summary(lm.stack <- lm(stack.loss ~ stack.x))
}
\keyword{datasets}