Correspondence analysis (CA) is a multivariate statistical technique proposed by Hirschfeld and later developed by Jean-Paul Benzécri.

The goal of this approach is to produce instruments which are simple and rugged, yet retain the benefits of multivariate techniques for the accuracy and precision of the result.

The course includes project work that provides training in data collection, compilation, statistical analysis and report writing using advanced multivariate techniques of statistics.

Discriminant analysis [ 19 ] , a multivariate statistical technique, was used for this purpose.

First, multivariate statistical techniques allow the approximation of experimental control with statistical control.

Canonical analysis is a multivariate technique which is concerned with determining the relationships between groups of variables in a data set.

Also developed were two early aversions, the first to multivariate techniques imposed on simple data, and the second to mathematics for its own sake in applied statistics.

At the end of his career, Wold turned away from econometric modelling and developed multivariate techniques for what he called "soft" modelling.

The widespread availability of package programs for multivariate statistical techniques like factor, cluster and principal components analysis.

Nonetheless, most recent work into the psychological attitude of people as to whether areas are urban or rural has used multivariate techniques.