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 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.