\HeaderA{predict.mca}{Predict Method for Class 'mca'}{predict.mca}
\keyword{category}{predict.mca}
\keyword{multivariate}{predict.mca}
\begin{Description}\relax
Used to compute coordinates for additional rows or additional factors
in a multiple correspondence analysis.
\end{Description}
\begin{Usage}
\begin{verbatim}
## S3 method for class 'mca':
predict(object, newdata, type = c("row", "factor"), ...)
\end{verbatim}
\end{Usage}
\begin{Arguments}
\begin{ldescription}
\item[\code{object}] An object of class \code{"mca"}, usually the result of a call to \code{mca}.

\item[\code{newdata}] A data frame containing \emph{either} additional rows of the factors used to
fit \code{object} \emph{or} additional factors for the cases used in the
original fit.

\item[\code{type}] Are predictions required for further rows or for new factors?

\item[\code{...}] Additional arguments from \code{predict}: unused.

\end{ldescription}
\end{Arguments}
\begin{Value}
If \code{type = "row"}, the coordinates for the additional rows.


If \code{type = "factor"}, the coordinates of the column vertices for the
levels of the new factors.
\end{Value}
\begin{References}\relax
Venables, W. N. and Ripley, B. D. (2002)
\emph{Modern Applied Statistics with S.} Fourth edition.  Springer.
\end{References}
\begin{SeeAlso}\relax
\code{\LinkA{mca}{mca}}, \code{\LinkA{plot.mca}{plot.mca}}
\end{SeeAlso}

