\Header{solder}{Soldering of Components on Printed-Circuit Boards}
\keyword{datasets}{solder}
\begin{Description}\relax
The \code{solder} data frame has 720 rows and 6 columns, representing
a balanced subset of a designed experiment varying 5 factors on the
soldering of components on printed-circuit boards.
\end{Description}
\begin{Usage}
\begin{verbatim}
data(solder)
\end{verbatim}
\end{Usage}
\begin{Format}\relax
This data frame contains the following columns:
\describe{
\item[\code{Opening}] a factor with levels
\code{L} 
\code{M} 
\code{S}
indicating the amount of clearance around the mounting pad.

\item[\code{Solder}] a factor with levels
\code{Thick} 
\code{Thin}
giving the thickness of the solder used.

\item[\code{Mask}] a factor with levels
\code{A1.5} 
\code{A3} 
\code{B3} 
\code{B6}
indicating the type and thickness of mask used.

\item[\code{PadType}] a factor with levels
\code{D4} 
\code{D6} 
\code{D7} 
\code{L4} 
\code{L6} 
\code{L7} 
\code{L8} 
\code{L9} 
\code{W4} 
\code{W9}
giving the size and geometry of the mounting pad.

\item[\code{Panel}] \code{1:3} indicating the panel on a board being tested.

\item[\code{skips}] a numeric vector giving the number of visible solder skips.

}
\end{Format}
\begin{Source}\relax
John M. Chambers and Trevor J. Hastie eds. (1992)
\emph{Statistical Models in S}, Wadsworth and Brooks/Cole,
Pacific Grove, CA 1992.
\end{Source}
\begin{Examples}
\begin{ExampleCode}
data(solder)
fit <- rpart(skips ~ Opening + Solder + Mask + PadType + Panel,
       data=solder, method='anova')
summary(residuals(fit))
plot(predict(fit),residuals(fit))
\end{ExampleCode}
\end{Examples}

