Hi,
I am searching for methods to compare regression models with an ordered
categorical response variable (polr versus multinom).
The pattern of predictions of both methods (using the same predictor
variables) is quite different and the AIC is smaller for the multinom
approach. I guess polr has more strict premises for the structure of the
response variable, which methods can be used to test for these premises. If
the AIC is smaller for the multinom approach is this approach more
appropriate in every case?

thanks for help

Matthias    


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Matthias Schmidt
Forstliche Versuchs- und Forschungsanstalt Baden-Württemberg (FVA) 
Abteilung Biometrie und Informatik
Wonnhaldestr. 4
79100 Freiburg i. Br
Tel.: + 49 (0)761 / 4018 -187
Fax: + 49 (0)761 / 4018 - 333
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Department for Forest Growth and Yield
Forest Research Station of Baden-Württemberg (FVA)
Wonnhaldestr. 4, 
79100 Freiburg i. Br
 


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