Re: [R] 2 not defined because of singularities appearing after introducing Fixed Effects

Sorry, please nevermind. It seems to have been an econometrical problem after all. (A variable consisting of 2 or more of the 150 Country-Dummies for the fixed effects causes perfect multicollinearity as well. So does a variable that differs over cross-sections but not over periods, seemingly. I

[R] 2 not defined because of singularities appearing after introducing Fixed Effects

The set runs fine without the fixed effects. However, once I add the +factor(HostCode)-part, it throws out two variables. The africa-dummy thrown out certainly does not exhibit perfect multicollinearity, I checked that. The litrate variable is continuous and therefore cannot be perfectly related

[R] Regression Error: Otherwise good variable causes singularity. Why?

This command cdmoutcome- glm(log(value)~factor(year) +log(gdppcpppconst)+log(gdppcpppconstAII) +log(co2eemisspc)+log(co2eemisspcAII) +log(dist) +fdiboth +odapartnertohost +corrupt

Re: [R] Regression Error: Otherwise good variable causes singularity. Why?

@JLucke: As for the africa variable: I took it out of the model, so that we can exclude this variable itself and collinearity between the africa and the litrate variable as causes for the litrate-problem. This also removed the singularity remark at the top. However, the problem with