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