Méthode des moindres carrés ordinaires

Définition

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Ordinary Least Squares

Ordinary Least Squares is a form of statistical regression used as a way to predict unknown values from an existing set of data. An example of a scenario in which one may use Ordinary Least Squares, or OLS, is in predicting shoe size from a data set that includes height and shoe size. Given the data, one can use the ordinary least squares formula to create a rate of change and predict shoe size, given a subject's height. In short, OLS takes an input, the independent variable, and produces an output, the dependent variable.

Source : DeepAI.org