Hello,
 
I am currently trying to run a series of models (all combinations of 4 independent factors, non-duplicate) and selecting the best one to describe my data. I was wondering if anyone knew of a way to get AIC and Likelihood values from R when using reduced major axis regression (RMA). I can get the values using the "lm" function, but that uses OLS to calculate the parameters. I have been unable to find help online or in the reference books that I have. I suppose I am looking for either a way to extract an AIC and Likelihood value from a function that performs RMA, like the smatr package (which I have been unable to do), or looking for a way to use the "lm" or other internal R functions to perform RMA. Thank you for any help and your time.
 
Sincerely,
Chris Cunningham
 
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Christopher Cunningham, Carrier Lab
University of Utah, Department of Biology
257 S 1400 E, Salt Lake City, UT 84112
Phone: 801-585-7734
Email: c.cunningham@utah.edu

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