Abstract
An iterative least square method for finding the best fit multiexponential equation to observed data is presented. A computer program is written in ALGOL, which permits the routine fitting of pharmacokinetic data. Given a set of data, number of exponential terms and initial estimates for exponential parameters, the computer program automatically proceeds to obtain a least square fit of the data by an iterative adjustment of the values of the parameters. Numerical tests on published data confirm its applicability.
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