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(differences between actual and predicted values of the dependent variable y), each of which is given by, for any candidate parameter values and ,

In other words, and solve the following minimization problem:

where the objective function is:

By expanding to get a quadratic expression in and we can derive minimizing values of the function arguments, denoted and :

Here we have introduced

Expanded formulas

The

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