method of least squares

A method originated by Legendre, which refers to the process of estimating the unknown parameters of a model by minimizing the sum of squared differences between the observed values of a random variable and the values predicted by the model. If every observation is given equal weight then this is ordinary least squares (OLS). See also generalized least squares; weighted least squares.