Hi everyone,
I use the MNP package to fit my data.  I can interpret the coefficients and
covariance.  I cannot put them into the original model which is
Wi=Sum(bXij) over j,
Yi(Wi)=0 if max(Wi)<0, j if max(Wi)=Wij>0

j=3 here, 3 choice alternatives, Clio, Punto, Polo
I don't  know how to put the coefficients and covariances into W, to
construct W for each j.
The coefficients and covariances are below.
I f anyone help me on this, I would appreciate.
ozlem.

Call:
mnp(formula = choice ~ 1, data = rowdata3, choiceX = list(Punto =
PricePunto,
    Clio = PriceClio, Polo = PricePolo), cXnames = "price", base = "Polo",
    n.draws = 100, verbose = TRUE)


Coefficients:
                           mean     std.dev.    2.5%    97.5%
(Intercept):Clio     -1.4559    0.6889    -2.7017 -0.387
(Intercept):Punto  -0.1989    0.7180    -2.2192  0.893
price                   10.0865   5.1486     0.8549  23.030

Covariances:
                    mean     std.dev.    2.5%    97.5%
Clio:Clio        1.0000    0.0000    1.0000  1.000
Clio:Punto     -0.9458   0.7644   -2.1816  0.449
Punto:Punto  2.5980    2.5312    0.4339  9.281

Base category: Polo
Number of alternatives: 3
Number of observations: 12
Number of estimated parameters: 5
Number of stored MCMC draws: 100

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