\HeaderA{Oats}{Split-plot Experiment on Varieties of Oats}{Oats}
\keyword{datasets}{Oats}
\begin{Description}\relax
The \code{Oats} data frame has 72 rows and 4 columns.
\end{Description}
\begin{Format}\relax
This data frame contains the following columns:
\describe{
\item[Block] an ordered factor with levels
\code{VI} \textless{} \code{V} \textless{} \code{III} \textless{} \code{IV} \textless{} \code{II} \textless{} \code{I}

\item[Variety] a factor with levels
\code{Golden Rain} 
\code{Marvellous} 
\code{Victory} 

\item[nitro] a numeric vector

\item[yield] a numeric vector

}
\end{Format}
\begin{Details}\relax
These data have been introduced by Yates (1935) as an example of a
split-plot design. The treatment structure used in the experiment was
a \eqn{3 \times 4}{} full factorial, with three varieties of oats
and four concentrations of nitrogen. The experimental units were
arranged into six blocks, each with three whole-plots subdivided into
four subplots. The varieties of oats were assigned randomly to the
whole-plots and the concentrations of nitrogen to the subplots.  All
four concentrations of nitrogen were used on each whole-plot.
\end{Details}
\begin{Source}\relax
Pinheiro, J. C. and Bates, D. M. (2000), \emph{Mixed-Effects Models in S
and S-PLUS}, Springer, New York.  (Appendix A.15)

Venables, W. N. and Ripley, B. D. (1999) \emph{Modern Applied
Statistics with S-PLUS (3rd ed)}, Springer, New York.
\end{Source}

