The weighted least squares method using 1/x(2) as a weighting factor i
s described and compared with conventional ordinary and weighted least
squares and robust regression. Applications of these different method
s to the relevant data sets demonstrates that the performance of the p
rocedure discussed in this paper exceeds that of ordinary least square
s method and equals, and often exceeds, that of weighted or robust met
hods.