The article presents an algorithm for fitting the shifted multiplicative model using least squares. The algorithm helps find the best shift parameter by minimizing a one-dimensional function. It addresses the issue of the shift parameter moving away from the optimal value by searching for the minimum on both sides of the maximum. This approach has been successful in locating the minimum even with poor starting values.