A principle of estimation in which the estimates of a set of parameters in a statistical model are those quantities minimizing the sum of squared differences between the observed values of a dependent variable and the values predicted by the model.,A least squares analysis that minimizes the differences between the calculated and measured values by adjusting the parameters needed to describe the model. It is used for POWDER DIFFRACTION crystallography.