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% File src/library/datasets/man/stackloss.Rd% Part of the R package, http://www.R-project.org% Copyright 1995-2007 R Core Development 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 nitricacid.}\usage{stacklossstack.xstack.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 InletTemperature\cr[,3] \tab \code{Acid Conc.} \tab Concentration of acid [per1000, minus 500]\cr[,4] \tab \code{stack.loss} \tab Stack loss\cr}For compatibility with S-PLUS, the data sets \code{stack.x}, a matrixwith 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. 1965)\emph{Statistical Theory and Methodology in Science and Engineering}.New York: Wiley. pp. 491--500.}\details{\dQuote{Obtained from 21 days of operation of a plant for theoxidation of ammonia (NH\eqn{_3}{3}) to nitric acid(HNO\eqn{_3}{3}). The nitric oxides produced are absorbed in acountercurrent 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 circulatedthrough coils in the absorption tower.\code{Acid Conc.} is the concentration of the acid circulating, minus50, times 10: that is, 89 corresponds to 58.9 per cent acid.\code{stack.loss} (the dependent variable) is 10 times the percentageof the ingoing ammonia to the plant that escapes from the absorptioncolumn unabsorbed; that is, an (inverse) measure of the over-allefficiency 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 IntensiveMethods; 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}