kernel control chart

[#1]

Hello.
my question is how can I fit a kernel density plot for my predictive model residuals in a way that first identifies and removes outliears data points, and then presents the final kernel plot with no outliears data along with its confidence bounds and shape?

[#2]

There are multiple ways to identify putative outliers. Once the rows with outliers are identified, use the hide and exclude option to remove them from calculations and hide them from graphs.

What you're looking for isn't a "Control Chart" but something like a Run Chart.

Try using Control Chart Builder"