[R] likelyhood maximization problem with polr

[Peng, C]

Since the default initial value is not good enough. You should choose one
based on your experience or luck. I choose start=rep(1,5) since there are
parameters in the model.

> polr(Species~Sepal.Length+Sepal.Width+Petal.Length+Petal.Width,iris,
> start=rep(1,6), method = "logistic") 
Call:
polr(formula = Species ~ Sepal.Length + Sepal.Width + Petal.Length + 
    Petal.Width, data = iris, start = rep(1, 6), method = "logistic")

Coefficients:
Sepal.Length  Sepal.Width Petal.Length  Petal.Width 
   -2.471271    -6.675614     9.432753    18.266280 

Intercepts:
   setosa|versicolor versicolor|virginica 
            5.513223            42.598774 

Residual Deviance: 11.89856 
AIC: 23.89856 


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