For static estimation with Analyst Drive, the option to use scaled data is available and can be a valuable tool for difficult to solve problems. While using non-scaled data is a better choice for most static problems (providing substantially faster convergence and perhaps better results), there are cases where the problem may be too difficult to solve in this manner. Scaling the data throughout the calculations of the estimation process essentially allows all count and OD values to be treated as equals, regardless of magnitude. It appears that in many static estimation cases that the scaled data option causes the optimization procedure to proceed in a slower manner, but can be much more effective for certain (often more difficult) problems. It is advised that the user try the scaled data option if the static estimation does not produce improved results otherwise, or if they wish to target a reduction in the relative RMSE as opposed to the absolute RMSE.