Correspondence analysis (CA) is a descriptive method which allows us
to analyze and to
XploRe
the structure of contingency tables
(or, by extension, non-negative tables where
rows and columns are the entities of interest). It is similar to
principal component analysis (PCA) in the sense that it attempts
to obtain a
representation of either the row items or the
column items in a low
dimensional space, while preserving at best total variation in the table.