Set Up -- Opens the Local Model Setup dialog where you can change the model type. See Local Model Setup.
Fit Local-- Opens the Local Model Fit Tool dialog. Without covariance modeling, you see the following controls. This example shows the results after clicking Fit once. The optimization process can be stopped early by clicking Stop or you can wait until it finishes. The Ordinary Least Squares (OLS) parameters are displayed. You can click Fit to run the process again as many times as required, or Close to exit the dialog. You can enter a different change in parameters in the edit box.
For covariance models this offers three different algorithms: REML (Restricted Maximum Likelihood - the default), Pseudo-likelihood, and Absolute residuals. The following example shows that there is also an additional button, One Step. Using the Fit button might take several steps to converge, but if you use the One Step button only one step in the optimization process is taken. Every time you run a process, the initial and final Generalized Least Squares parameter values are displayed for each iteration.
Update Fit -- Only enabled when outliers have been removed. The Update Fit option updates the global models to take these changes into account. This happens automatically when you select a different node. Duplicated in the toolbar. This can affect many models; see Local Level: Toolbar.
Calculate MLE-- Calculates the two-stage model using maximum likelihood estimation. This takes interactions between response features into account. Duplicated in the toolbar. See MLE for details.
Select -- Available whenever the Select button is also enabled in the lower right pane (when it is titled Local Models, Response Features, or Models). This item opens the Model Selection window to allow you to choose the best model. See Select.
Assign Best selects the current model as best. If it is one of several child node models of a response model, selecting it as best means that this local model (and associated response features) is used for the two-stage model. Note that this is only enabled if the local node selected has a two-stage model calculated; that is, if the local node still has a local icon (a house) you cannot use Assign Best. See Model Tree.
