My problem is this, when I perform regression
>mod<-glm(y~a+b+c,family=gaussian(link="log"), data = matrix)
Warning message:
glm.fit: algoritmo não convergiu
> summary(mod1)
...
Number of Fisher Scoring iterations: 25
To circumvent this I did:
>mod1<-glm(y~a+b+c ,family=gaussian(link="log"), data = matrix)
Warning message:
glm.fit: algoritmo não convergiu
>mod1<-glm(y~a+b+c,start=coef(mod1),family=gaussian(link="log"), data = matrix)
>summary(mod1)
...
Number of Fisher Scoring iterations: 6
So, how do I increase the iteration over 25?