In this letter, we propose an orthogonalized version of the Oja algorithm (
OOja) that can be used for the estimation of minor and principal subspaces
of a vector sequence. The new algorithm offers, as compared to Oja, such ad
vantages as orthogonality of the weight matrix, which is ensured at each it
eration, numerical stability, and a quite similar computational complexity.