Multiple Correspondence Analysis
Description
A fast procedure for computing multiple correspondence analysis.
Usage
1 
Arguments
dat 
Input data: has to be a data frame (with any number of columns). 
nfac 
Logical indicating whether the number of factors (i.e. the number of columns in 
Value
A list with components:

The eigenvalues or principal inertias, indicating how much each latent axis explains. 

The coordinates of all levels. 
References
Greenacre, M. (2007) Correspondence analysis in practice, Second edition. Boca Raton: Chapman and Hall/CRC.
Examples
1 2 3 4  SndT_Fra < read.table(system.file("extdata", "SndT_Fra.txt", package = "svs"),
header = TRUE, sep = "\t", quote = "\"", encoding = "UTF8")
mca.SndT_Fra < fast_mca(SndT_Fra)
mca.SndT_Fra

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