techniques for analysing relationships between a large number of
variables. The course starts with exploratory techniques for
multidimensional data, then recalls the necessary math (matrix algebra,
random vectors, multivariate normal distribution) and finally focusses
on classical multivariate techniques as principal components analysis
(PCA), discriminant analysis, cluster analysis, factor analysis and
canonical correlation analysis.