Dear all,

This is my first time using this kind of model, so apologize for any
inconvenience I might say below.

I want to select the best combination of factors explaining a variable that
may take 3 values. The variable represents risk levels: 1= no risk, 2=
moderate, and 3= high.

I know that some of the potential factors in the model have a linear
relationship with Y .
However, others generate an increase in the frequancy of the value 2.

My initial question is:
1) Which kind of approach should I use to select the best combination of
factors, taking into account factors that can have these two behaviors.
Should I select over mixed models, using probit as link function and
binomial distribution?

2) is there any easy document helping to understand the interpretation of
the R output of the fitting of a model like this?

Thanks in advance
 Agus

-- 
Agustín Camacho Guerrero.
Doutorando em Zoologia.
Laboratório de Herpetologia, Departamento de Zoologia, Instituto de
Biociências, USP.
Rua do Matão, trav. 14, nº 321, Cidade Universitária,
São Paulo - SP, CEP: 05508-090, Brasil.

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