Multivariate descriptive statistical analysis
There is an excellent chapter which relates correspondence analysis to discriminant analysis and canonical correlation analysis. Another chapter discusses cluster analysis and includes an example in which clustering is combined with correspondence analysis. First the clustering partitions the data into homogeneous groups and then the corre- spondence plot shows how the groups differ on their response. For the reader with access to a program which manipulates matrices with facility and has good plotting facilities, it should be possible to implement the procedures fairly easily without recourse to the FORTRAN program.