\HeaderA{shuttle}{Space Shuttle Autolander Problem}{shuttle}
\keyword{datasets}{shuttle}
\begin{Description}\relax
The \code{shuttle} data frame has 256 rows and 7 columns.
The first six columns are categorical variables giving example
conditions; the seventh is the decision. The first 253 rows are the
training set, the last 3 the test conditions.
\end{Description}
\begin{Usage}
\begin{verbatim}
shuttle
\end{verbatim}
\end{Usage}
\begin{Format}\relax
This data frame contains the following columns:
\describe{
\item[\code{stability}] Stable positioning or not (\code{stab / xstab})

\item[\code{error}] Size of error (\code{MM / SS / LX / XL})

\item[\code{sign}] Sign of error, positive or negative (\code{pp / nn})

\item[\code{wind}] Wind sign (\code{head / tail})

\item[\code{magn}] Wind strength (\code{Light / Medium / Strong / Out of Range})

\item[\code{vis}] Visibility (\code{yes / no})

\item[\code{use}] Use the autolander or not
}
\end{Format}
\begin{Source}\relax
D. Michie (1989)
Problems of computer-aided concept formation. In
\emph{Applications of Expert Systems 2},
ed. J. R. Quinlan, Turing Institute Press / Addison-Wesley, pp. 310--333.
\end{Source}
\begin{References}\relax
Venables, W. N. and Ripley, B. D. (2002)
\emph{Modern Applied Statistics with S.} Fourth edition.  Springer.
\end{References}

