convergence in polr
I am really sorry. I was supposed to send it to the Splus users but by mistake I sent to the R-users. Sorry once again
On Feb 24 2004, Prof Brian Ripley wrote:
Why have you sent a message about S-PLUS to R-help, one that has already been answered on S-news? There is no function nlminb in R. On 24 Feb 2004, C. Spanou wrote:
Hello splus-users, I am trying to fit a regression model for an
ordered response factor. So I am using the function polr in
library(MASS). My data is a matrix of 1665 rows and 63 columns (one of
the column is the dependent variable). The code I use is
polr(as.ordered(q23p)~.,data=newdatap)
but I am getting the following warning message singularity
encountered in: nlminb.1(temp, p, liv, lv, objective, gradient, bounds,
scale)
I looked in the MASS help for nlminb and I found that for the function
nlminb(start, objective, gradient=NULL, hessian=NULL,
scale=1, control=NULL, lower=-Inf, upper=Inf)
when returning a warning message of singularity means that the
optimization algorithm thinks it can't make any further progress
because it has too many degrees of freedom. It usually means that the
objective function is either not differentiable, or it may not have an
optimum.
So for my data an optimum can't be obtained.
Is this true?
Can I ignore this warning message since what I want to find is values
for the boundaries? Will the values for the boundaries be accurate even
though I get the warning message?
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