Hi Doug,
To expand a bit on what Bert has written, all the the "best
subset/best model" procedures use random variation in the dataset to
produce a result. This means that you will almost certainly include
variables in your "best model" that cannot be replicated. Sometimes
you can see this as a var
This is a statistics question, which is largely off topic on this
list. However, I'll give you a very brief OT response:
I would strongly suggest you consult a local statistician to explain
to why what you are doing is likely to result in complete nonsense
(best subset of 5 or 6 from 21 predictors
Hello All,
I am working on a linear regression model and trying to find the best subset of
variables for my dataset. I have 21 predictors, 1 response variable, and 79
observations. I need to find the best 5 or 6 predictors for my model. I've used
leaps for lm() and I'm now trying bestglm for glm
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