\HeaderA{Soybean}{Growth of soybean plants}{Soybean}
\keyword{datasets}{Soybean}
\begin{Description}\relax
The \code{Soybean} data frame has 412 rows and 5 columns.
\end{Description}
\begin{Format}\relax
This data frame contains the following columns:
\describe{
\item[Plot] a factor giving a unique identifier for each plot.

\item[Variety] a factor indicating the variety; Forrest (F) or Plant
Introduction \#416937 (P).

\item[Year] a factor indicating the year the plot was planted.

\item[Time] a numeric vector giving the time the sample was taken (days
after planting).

\item[weight] a numeric vector giving the average leaf weight per plant (g).

}
\end{Format}
\begin{Details}\relax
These data are described in
Davidian and Giltinan (1995, 1.1.3, p.7) as ``Data from an
experiment to compare growth patterns of two genotypes of soybeans:
Plant Introduction \#416937 (P), an experimental strain, and Forrest
(F), a commercial variety.''
\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.27)

Davidian, M. and Giltinan, D. M. (1995), \emph{Nonlinear Models for
Repeated Measurement Data},  Chapman and Hall, London.
\end{Source}
\begin{Examples}
\begin{ExampleCode}
summary(fm1 <- nlsList(SSlogis, data = Soybean))
\end{ExampleCode}
\end{Examples}

