\Header{stackloss}{Brownlee's Stack Loss Plant Data}
\alias{stack.loss}{stackloss}
\alias{stack.x}{stackloss}
\keyword{datasets}{stackloss}
\begin{Description}\relax
Operational data of a plant for the oxidation of ammonia to nitric
acid.
\end{Description}
\begin{Usage}
\begin{verbatim}data(stackloss)\end{verbatim}
\end{Usage}
\begin{Format}\relax
\code{stackloss} is a data frame with 21 observations on 4 variables.

\Tabular{rll}{
[,1] & \code{Air Flow}   & Flow of cooling air\\{}
[,2] & \code{Water Temp} & Cooling Water Inlet
Temperature\\{}
[,3] &  \code{Acid Conc.} & Concentration of acid [per
1000, minus 500]\\{}
[,4] &  \code{stack.loss} & Stack loss\\
}

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.
\end{Format}
\begin{Details}\relax
\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.
\end{Details}
\begin{Source}\relax
Brownlee, K. A. (1960, 2nd ed. 1965)
\emph{Statistical Theory and Methodology in Science and Engineering}.
New York: Wiley. pp. 491--500.
\end{Source}
\begin{References}\relax
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.
\end{References}
\begin{Examples}
\begin{ExampleCode}
data(stackloss)
summary(lm.stack <- lm(stack.loss ~ stack.x))
\end{ExampleCode}
\end{Examples}

