Hi I am trying to build a regression model. My data looks like this:
A B C D E 1 1 1 2.57 5 2 0 0 1.64 3 0 5 1 4.8 1 1 3 0 3.56 168 1 1 1 2.13 1 0 3 1 5 168 2 0 0 7.75 28 4 0 2 2.85 168 3 0 1 1.89 6 1 1 1 2.33 3 3 2 2 1.77 168 1 0 0 1.38 0.04 0 6 1 4.57 168 2 2 2 2.86 1 3 1 1 4.11 168 3 0 2 3 84 1 1 1 2.5 56 where E is a response variable and A, B, C, D are predictor variables. Below are commands which I enter in R: str (mydata) mydata.lm = lm (E ~ 1, data = mydata) # to create a blank model add1(mydata.lm, mydata, test='F') # to add the best predictor variable to the blank model However at this point the message appears: Warning messages: 1: In model.matrix.default(Terms, m, contrasts.arg = object$contrasts) : the response appeared on the right-hand side and was dropped 2: In model.matrix.default(Terms, m, contrasts.arg = object$contrasts) : problem with term 4 in model.matrix: no columns are assigned What does it mean ? Could you please help ? -- View this message in context: http://r.789695.n4.nabble.com/building-a-regression-model-tp4654701.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.
