The authors present a useful comparison between the generalized conjugate gradient method and an adjusted form of this method and the successive over-relaxation (SOR) and the conjugate gradient (CG) methods when applied to least squares problems. The authors’ study suggests that the generalized CG method is always better than the SOR method and, further, that the adjusted form of the generalized CG method is generally superior in performance to the unadjusted form.