The prediction profiler in JMP can be effectively used to visualize the dependence of the target variable from independent variables in the model. When I do this, I usually spend effort to improve the different compartments of the prediction profiles e.g. by optimizing scales and axis settings to make the prediction profiles as informative as possible.
Unfortunately all these settings are immediately lost e.g. when I remove one variable from the model. Of course, I can copy axis settings from the previous plot for one axis after the other but this is still time consuming for more extensive models.
Is there a possibility to maintain settings in the above and similar situations?