Why am I getting “algorithm did not converge” and “fitted prob numerically 0 or 1” warnings with glm?

So this is a very simple question, just can’t seem to figure it out.

I’m running a logit using the glm function, but keep getting warning messages relating to the independent variable. They’re stored as factors and I’ve changed them to numeric but had no luck. I also coded them to 0/1 but that did not work either.

Please help!

```> mod2 <- glm(winorlose1 ~ bid1, family="binomial")
Warning messages:
1: glm.fit: algorithm did not converge
2: glm.fit: fitted probabilities numerically 0 or 1 occurred

```

I also tried it in Zelig, but similar error:

```> mod2 = zelig(factor(winorlose1) ~ bid1, data=dat, model="logit")
How to cite this model in Zelig:
Kosuke Imai, Gary King, and Oliva Lau. 2008. "logit: Logistic Regression for Dichotomous Dependent Variables" in Kosuke Imai, Gary King, and Olivia Lau, "Zelig: Everyone's Statistical Software," http://gking.harvard.edu/zelig
Warning messages:
1: glm.fit: algorithm did not converge
2: glm.fit: fitted probabilities numerically 0 or 1 occurred

```

EDIT:

```> str(dat)
'data.frame':   3493 obs. of  3 variables:
\$ winorlose1: int  2 2 2 2 2 2 2 2 2 2 ...
\$ bid1      : int  700 300 700 300 500 300 300 700 300 300 ...
\$ home      : int  1 0 1 0 0 0 0 1 0 0 ...
- attr(*, "na.action")=Class 'omit'  Named int [1:63021] 3494 3495 3496 3497 3498 3499 3500 3501 3502 3503 ...
.. ..- attr(*, "names")= chr [1:63021] "3494" "3495" "3496" "3497" ...
```
Categories R