Stochastic approximation of the factors of a generalized canonical correlation analysis

We suppose that data of a generalized canonical correlation analysis are i.i.d. observations of a random vector Z which are taken sequentially. We define a recursive method of sequential estimation of the factors. This can be applied also when there are a great number of non random data vectors.