An algorithm for the least-squares adjustment enabling objective detection and rejection of discrepant items

A new algorithm for the adjustment of fundamental constants is proposed. The main feature is the modification applied to a limited number of data which are taken out according to a classification rule. Data values as well as their standard deviations are subject to modification. Our results are in fairly good agreement with the recommendation.