R help - Mar 2012 - 6 different errors while using glm.nb

Hello to everyone.
I need your help. I´m trying to fit the same *glm.nb* to a different data
set and i am getting these errors in some of the data. Sometimes, one data
set has two of these errors when fitting the model.

1.- Error en while ((it <- it + 1) < limit && abs(del) > eps) {
:

  valor ausente donde TRUE/FALSE es necesario


2.- Mensajes de aviso perdidos

1: In sqrt(1/i) : Se han producido NaNs2: In sqrt(1/i) : Se han producido NaNs


3.- glm.fit: fitted rates numerically 0 occurred


4.- glm.fit : algorithm did not converge


5.- Error: no valid set of coefficients has been found: please supply
starting values


6.- Error en glm.fitter(x = X, y = Y, w = w, etastart = eta, offset offset,  :

  NA/NaN/Inf en llamada a una función externa (arg 1)


I don´t know why i have this errors. If someone could help me to
understand what´s going on i would appreciate.


thank you.

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Lucas <lpchaparrovio <at> gmail.com> writes:
> I need your help. I?m trying to fit the same *glm.nb* to a different data
> set and i am getting these errors in some of the data. Sometimes, one data
> set has two of these errors when fitting the model.
 
1.- Error en while ((it <- it + 1) < limit && abs(del) eps) { :

  valor ausente donde TRUE/FALSE es necesario

2.- Mensajes de aviso perdidos

1: In sqrt(1/i) : Se han producido NaNs2: In sqrt(1/i) : Se han producido NaNs

3.- glm.fit: fitted rates numerically 0 occurred

4.- glm.fit : algorithm did not converge

5.- Error: no valid set of coefficients has been found: please supply
starting values

6.- Error en glm.fitter(x = X, y = Y, w = w, etastart = eta, offset offset,  :

  NA/NaN/Inf en llamada a una funci?n externa (arg 1)
> I don?t know why i have this errors. If someone could help me to
> understand what?s going on i would appreciate.
> 
  We need a reproducible example. See http://tinyurl.com/reproducible-000
for examples, or the R posting guide (see the bottom of this
message). Your data are presumably odd in some
way, or at least very small.  Have you tried plotting them?