Fast successive selection of variables in linear models using modified QR factorisation

A new approach for successively selecting regressor variables in the linear-in-the-parameter modelling problem is presented. It is based on QR with column pivoting factorisation, where the columns are pivoted based on the correlation with the corresponding rotated output vector. In contrast to other competing methods, no parameter estimation is necessary. The method is computationally fast and numerically robust