Dear R community, probably my question is obvious but I did not find any solution yet by browsind the mailing list results. I need to perform a simple ols regression in a dataset with cross section data, where no temporal dimension is inserted. In this data set there are missing values. I would like the software to perform the ols regression but to just ignore these data and consider the rest.
I tried to use the function na.action=na.omit in lm( y~x, na.action=na.omit) but it seems to exert no effect on the function. Thank you for any available help. Francesca -- Post - doc Finance HEC Management School of the University of Liège Rue Louvrex, 14 , Bldg N1 , B-4000 Liège Belgium Web: https://mail.sssup.it/~pancotto ______________________________________________ R-help@r-project.org mailing list 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.
