Recursive least squares method of regression coefficients estimation as a special case of Kalman filter
Sergey M. Borodachev · AIP conference proceedings · 2016
The simple derivation of recursive least squares (RLS) method equations is given as special case of Kalman filter estimation of a constant system state under changing observation conditions. A numerical example illustrates application of RLS to multicollinearity problem.