Hello dear R help list,

I wish to compile a check-list for diagnostic measures for OLS regression.

My question:
Can you offer more (or newer) tests/measures for the validity of a linear
model then what is given here:
http://www.statmethods.net/stats/rdiagnostics.html

This resource gives a list of measures to test for:
OUTLIERS, INFLUENTIAL OBSERVATIONS, NON-NORMALITY, NON-CONSTANT ERROR
VARIANCE, MULTI-COLLINEARITY, NONLINEARITY, NON-INDEPENDENCE OF ERRORS and
some global validation.

I came across it after searching online for ways to validate a regression
model.
Although this is a great list, I am wondering if there is any newer methods
that are overlooked, or important consideration to take into account that
are not described in that page.


Thanks,
Tal



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