A square root filter for real time multivariate regression

An algorithm is developed which makes it possible to perform multivariate regression in real time. The algorithm belongs into the class of square root filters and exhibits outstanding numerical characteristics, particularly in ill-conditioned problems. Because of these properties the algorithm is well suited for implementation in process computers and special digital devices operating with reduced word length.