Hello, Is there anyway one can have more than 11 independent variables in a regression model? To hopefully illustrate: with 13 predictors in my model, the last 2 coefficient estimates are "NA". When I view the summary, it indicates that 2 coefficients are "not defined because of singularities". I am using the command:
mod <- lm(y ~ ., data = volumes[,3:22]) I am fairly new to R so I don't know if my issue is something inherent to R or my modeling approach. Any insight would be most appreciated... Thanks in advance ______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
