Multivariate SPC is commonly used to monitor process data (sensors), as they can detect and alert shifts in a dataset.
The current platform has an interactive plot to diagnose what are the variables contributing to anomalies.
https://www.jmp.com/support/help/en/17.1/index.shtml#page/jmp/model-driven-multivariate-control-char...
![FN_3-1684336784809.png FN_3-1684336784809.png](https://community.jmp.com/t5/image/serverpage/image-id/52847i2C5E576622C50E44/image-size/medium?v=v2&px=400)
A very useful feature is to obtain the mean contribution given to a selected number of points.
Having an additional option that gives you the "accumulated contribution", will help during the diagnosis.