Hi!

I'm trying to do some ploytomous logistic regression using multinom() in the nnet package, but am a bit confused about interpretation of the results
Is it possible to get the following quantities: 

I:  maximum likelihood estimates to test for fit of model and significance of each predictor

(I would like to produce a table of the following type)
Analysis of Variance: MLE    (values are non sensical, I know!)
               df      chi2           p
intercept   2       57            .003
v1            4       89            .876
v2            2         7            .05
LR        110     450            0.93

II:  chi square values and corresponding p-values for each level of the predictor variates (I'm OK for the estimates and se from summary,)

 
               level estimate     se        chi2         p   
intercept   1        5              .9         32          .002
                2       6.3            .8         31          .03
v1             3       89            .876       43          .001
                4       65            .05         67          0.001      
 v2...


Is there a convenient way to plot the results? (I'd like to display visually the effects of the predictors: any sugestion?)

OK, I probably miss something here (no experience with (non ordinal) polytomous logistic regression yet!)

Thank  very much to all

Anne

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Anne Piotet
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Email: anne.piotet@m-td.com
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