

   MMuullttiippllee CCoorrrreessppoonnddeennccee AAnnaallyyssiiss

        mca(df, nf=2, abbrev=F)

   AArrgguummeennttss::

         df: A data frame containing only factors

         nf: The number of dimensions for the MCA. Rarely 3
             might be useful.

     abbrev: Should the vertex names be abbreviated?  By
             default these are of the form "factor.level" but
             if `abbrev=T' they are just "level" which will
             suffice if the factors have distinct levels.

   DDeessccrriippttiioonn::

        Computes a multiple correspondence analysis of a set of
        factors.

   VVaalluuee::

        An object of class `"mca"', with components

         rs: The coordinates of the rows, in `nf' dimensions.

         cs: The coordinates of the column vertices, one for
             each level of each factor.

         fs: Weights for each row, used to interpolate addi-
             tional factors in `predict.mca'.

          p: The number of factors

          d: The singular values for the `nf' dimensions.

       call: The matched call.

   SSeeee AAllssoo::

        `predict.mca', `plot.mca', `corresp'

   EExxaammpplleess::

        data(farms)
        farms.mca <- mca(farms, abbrev=T)
        farms.mca
        plot(farms.mca)

