Azzera filtri
Azzera filtri

how to identify a fitglm output as being rank deficient from the resulting object

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My question is as follows:
I am running a very large number of multivariable regressions. My problem is that sometimes these are identified as being rank deficient regressions. I am totally cool with that, but I would like to be able to identify them as so once my loop is complete.
Is there a way to identify if a regression is rank deficient from the object that fitglm outputs?

Risposte (1)

Tom Lane
Tom Lane il 24 Giu 2016
If your model is f, you could see if
f.NumCoefficients > f.NumEstimatedCoefficients

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