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**Equation 13.7.1 Objective Function for Extended Least Squares Optimization**

Note the inclusion of the lnV term in Equation 13.7.1. This will prevent the optimization algorithm from driving the value of V high and thus the weight low to minimize the objective function (WSS) without regard for the model parameter values.

The equation for V, the variance of each data point, may take a number of forms. Some of these are shown in Equation 13.7.2.

**Equation 13.7.2 Example Variance Equations**

- Peck, C.C., Sheiner, L.B. and Nichols, A.I. 1984 "The Problem of Choosing Weights in Nonlinear Regression Analysis of Pharmacokinetic Data",
*Drug Metabolism Reviews*,**15**, pp 133-148 - Peck, C.C., Beal, S.L., Sheiner, L.B. and Nichols, A.I. 1984 "Extended Least Squares Nonlinear Regression: A Possible Solution to the 'Choice of Weights' Problem in Analysis of Individual Pharmacokinetic Data",
*J. Pharmcokin. Biopharm.*,**12**, pp 545-558

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