I'm running a regression model with dummy variables and getting NA for some coefficients. I believe this due to singularity problem. How can I exclude some of the dummy variables from the regression model in R to take care of this issue. I read in R help that lm() method takes care of this issue automatically. But in my case its not happening? Any pointers would be of great help. Regression Model: reg06 <- lm(mydf$y~ mydf$x1 + factor(mydf$x2) + factor(mydf$x3)+ factor(mydf$x4) + mydf$x5, singular.ok = TRUE) Thanx in advance Sachin --------------------------------- [[alternative HTML version deleted]]