\HeaderA{quine}{Absenteeism from School in Rural New South Wales}{quine}
\keyword{datasets}{quine}
\begin{Description}\relax
The \code{quine} data frame has 146 rows and 5 columns.
Children from Walgett, New South Wales, Australia, were classified by
Culture, Age, Sex and Learner status and the number of days absent from
school in a particular school year was recorded.
\end{Description}
\begin{Usage}
\begin{verbatim}
quine
\end{verbatim}
\end{Usage}
\begin{Format}\relax
This data frame contains the following columns:
\describe{
\item[\code{Eth}] Ethnic background: Aboriginal or Not, (\code{"A"} or \code{"N"}).

\item[\code{Sex}] Sex factor: (\code{"F"} or \code{"M"}).

\item[\code{Age}] Age group: Primary (\code{"F0"}), or forms \code{"F1,"} \code{"F2"} or \code{"F3"}.

\item[\code{Lrn}] Learner status factor: Average or Slow learner, (\code{"AL"} or \code{"SL"}).

\item[\code{Days}] Days absent from school in the year.
}
\end{Format}
\begin{Source}\relax
S. Quine, quoted in Aitkin, M. (1978) The analysis of unbalanced cross
classifications (with discussion).
\emph{Journal of the Royal Statistical Society series A}
\bold{141}, 195--223.
\end{Source}
\begin{References}\relax
Venables, W. N. and Ripley, B. D. (2002)
\emph{Modern Applied Statistics with S.} Fourth edition.  Springer.
\end{References}

