Hi Rick

If I'm understanding correctly, the obs 1,2,3 and 21 (from the last example) highlight which "records" are influential. This is a big step forward, but work would still need to be done to identify which variable(s) of those records are causing the influence. And of course, this varies from record to record. In my workplace with millions of records and hundreds of variables, health sector, this would not be a trivial exercise. What would you recommend to identify what values were "unusual" from those selected to be "bad leverage points" in any given record? Deviations from each record against the robust mean vector?

Brett