The effectiveness of diverse functions of statistical distribution (log-normal, gamma and Weibull) is examined for the elucidation of chromatograms with overlapping peaks. A Gauss function and a modified Gauss function are used for comparison with the results obtained by the other functions. The generalized least-squares method is applied for adjustment; this is done automatically by the specially designed DAFNA program written in Fortran IV. The use of those functions in the resolution of experimental chromatograms is preceded by an outline of the difficulties involved in the elucidation of overlapping profiles. © 1982.