Ordinary least squares

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What Wikipedia says

In statistics, ordinary least squares (OLS) is a type of linear least squares method for choosing the unknown parameters in a linear regression model by the principle of least squares: minimizing the sum of the squares of the differences between the observed dependent variable (values of the variable being observed) in the input dataset and the output of the (linear) function of the independent variable.

Excerpt from the Wikipedia article “Ordinary least squares”, under the CC BY-SA 4.0 license. Read the article on Wikipedia

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