\Header{stackloss}{Brownlee's Stack Loss Plant Data}
\keyword{datasets}{stackloss}
\begin{Usage}
\begin{verbatim}data(stackloss)\end{verbatim}
\end{Usage}
\begin{Format}
A data frame with  21 observations on 4 variables.
\Tabular{rlll}{
[,1] & x1 & Air.Flow  & Flow of cooling air\\{}
[,2] & x2 & Water.Temp & Cooling Water Inlet\\{}
&  &   & Temperature\\{}
[,3] & x3 & Acid.Conc. & Concentration of acid\\{}
&  &   & [per 1000, minus 500]\\{}
[,4] & y & stack.loss  & Stack loss\\{}
}\end{Format}
\begin{Description}
(Brownlee, cited by Dodge, slightly reformatted by MM):
``Obtained from 21 days of operation of a plant for the oxidation
of ammonia (NH3) to nitric acid (HNO3).
The nitric oxides produced are absorbed in a countercurrent absorption
tower.

\texttt{x1} represents the rate of operation of the plant.
\texttt{x2} is the temperature of cooling water circulated through coils in the
absorption tower.
\texttt{x3} is the concentration of the acid circulating,
minus 50, times 10: that is, 89 corresponds to 58.9 per cent acid.
\texttt{y} (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{Description}
\begin{Source}
Brownlee, K.A. (1960, 2nd ed. 1965)
\emph{Statistical Theory and Methodology in Science and Engineering};
John Wiley, NY;  pp. 491--500\end{Source}
\begin{References}
Yadolah Dodge, The Guinea Pig of Multiple Regression,
Robust Statistics, Data Analysis, and Computer
Intensive Methods; In Honor of Peter Huber's 60th Birthday, 1996,
Lecture Notes in Statistics 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}

