Here general refers to the dependence on potentially more than one explanatory variable, v.s. the simple linear model :
Some of the Generalized liner models are:
1-Ordinary Least Squares :Linear Regression fits a linear model with coefficients to minimize the residual sum of squares between the observed responses in the data set, and the responses predicted by the linear approximation. Mathematically:
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