Your data won't support it. It has nothing to do with R or any other decent linear regression fitting software.
I've seen up to 60 indep variables, with a data set for which it almost made sense. best, -tony On 5/8/05, Jim BRINDLE <[EMAIL PROTECTED]> wrote: > 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 > -- best, -tony "Commit early,commit often, and commit in a repository from which we can easily roll-back your mistakes" (AJR, 4Jan05). A.J. Rossini [EMAIL PROTECTED] ______________________________________________ [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
