\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 factor columns:
\describe{
\item[\code{stability}] stable positioning or not (\code{stab} / \code{xstab}).

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

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

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

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

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

\item[\code{use}] use the autolander or not. (\code{auto} / \code{noauto}.)

}
\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}

