You really really really need to work with a local statistical expert, as your post indicates fundamental confusion. Furthermore, statistical issues are off topic here.
Cheers, Bert On Friday, April 24, 2015, Praveen kr singh <pcubesi...@gmail.com> wrote: > Hi, > > Currently i am working with the lm() function for some regressions required > for my project. > > suppose the formula parameter in that is given by "response ~ terms",after > some testing i found out that when the number of observations under terms > is less than the number of columns or features under terms, the > coefficients of regression generated from the linear model object contains > NA which makes it useless. > > right now i am in situation where the number of observation is less than > the number of features , can someone help me how to apply regression in > this case. > > -- > *Praveen Kr Singh* > *Dept-CSE* > *HIT-K* > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org <javascript:;> mailing list -- To UNSUBSCRIBE and > more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > -- Bert Gunter Genentech Nonclinical Biostatistics (650) 467-7374 "Data is not information. Information is not knowledge. And knowledge is certainly not wisdom." Clifford Stoll [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.