Many thanks for the swift reply, David, and thank your for the R-links. I may have to resort to R, after all. However, my maths / stats expertise, including programming, is limited to that of the average social science postgraduate.
Basically correspondence analysis is used to determine correlation (better: contingency) between categorical variables. The presentation of this fact is the tricky part. I have discovered some dated Mathematica Solutions (e.g., 5.0), using line printer output.
The author of the text in the link below (Greenacre, he appears to be the present-day guru in this field) gives an example at page 26ff, with a sample Output on p 29 using an Excel Add-in. Surely Mathematica should offer better solutions.
http://statmath.wu.ac.at/courses/CAandRelMeth/CARME1.pdf
The following link illustrates why the presentation of output is so important (e.g., p. 14): interpreting correspondence Analysis results is difficult. My hope is to create interactive output, as available in Mathematica, to be able to inspect 3-d graphs from several angles, etc.
http://www.skeptron.uu.se/broady/sec/p-gda-0609-III.pdf