What inspired this wish list request? In comparing models there are some more statistics and graphs that may help with this comparison.
What is the improvement you would like to see? Statistics to consider adding are R-squared adjusted and R-squared predicted, AICc and BIC. Would like to see a table listing all of these beside one another along with the coefficients and p-values for each term in the models. Potential graphs that may be helpful are Absolute value of the residual vs run for each model and Absolute value of the residual vs model (like like A, B, C) to show how the average Absolute error compares and the variation.
Why is this idea important? This will strengthen the ability to compare the models quickly and better enable the more correct model to be chosen.