I am running a logistic regression on financial data of several companies. The dependent variable is the company to be a smoother (binary variable: 0, 1), and there are several independent variables: company age, company size, number of board meetings, etc. I tried to run a glm that detect any complete separation in this model through the R-package "detectseparation." The code in R was:

    detect<-glm(formula=smth~0+Big4+age+lev+assets_log+committee+PctIndependentDirectors+meetings+boardsize+afe+value_log+revgrowth_log,data=data2,family = binomial("logit"),method = "detect_separation")

the result was:
[![enter image description here][1]][1]


  [1]: https://i.sstatic.net/Ljqz5.png

We can see that there is always 0 next to each IV. What does 0 mean?
How about -inf and +inf?