| Model Browser User's Guide | |
For a two-stage model the initial view is as follows.
The tests view shows the data being modeled (blue dots) and two models that have been fitted to this data. The black line shows the local model that has been fitted to each test separately. The green line shows the two-stage model: you can see the local model curve reconstructed using response feature values taken from the global models.
If the local input has more than one factor, a predicted/observed plot appears.
This view allows you to compare several models simultaneously. Using standard Windows multiselect behavior (Shift+click and Ctrl+click) in the list view, or by clicking the Select All button, you can view several two-stage models together. A maximum of five models can be selected at once. The legend allows you to identify the different plot lines.
Clicking one of the plots (and holding the mouse button down) displays information about the data for that test. For example:
Here you see the values of the global variables for this test and some diagnostic statistics describing the model fit. Also displayed are the values (for this test) of the response features used to build this two-stage model and the two-stage model's estimation of these response features.
The controls allow navigation between tests.
You can change the size of the confidence intervals; these are displayed using a right-click menu on the plots themselves.
The prediction type allows a choice of Normal or PRESS (Predicted Error Sum of Squares) -- although not if you entered this view through model evaluation (rather than model selection). PRESS predictions give an indication of the model fit if that test was not used in fitting the model. For more on PRESS see Linear Model Statistics Displays and Stepwise Regression Techniques.
| | Model Selection Window | Predicted/Observed View | |
