Trying to do a regression for four variables. I get information only for two. The rest is marked "NA". Why? And what does NA mean?
Thanks! > Sweden.infl.dev <- c(0.2, 0.6, -1, -0.2, -1, -1.5, -0.7, 0.7, -0.1, 0.3) > Sweden.GDP.gap <- c(-0.024662769, -0.01519859, -0.027251109, -0.027129556, > -0.014561961, 0.007291667, 0.02695406, 0.01179481, 0.008348032, > 0.000000000683083) > Sweden.nom.int.rate <- c(7.6, 8.91, 4.1, 4.35, 3.4, 3.25, 4, 3.75, 3.75, > 2.75) > Sweden.infl <- c(2.2, 2.6, 1, 1.8, 1, 0.5, 1.3, 2.7, 1.9, 2.3) > p <- c(2, 2, 2, 2, 2, 2, 2, 2, 2, 2) > Sweden.Taylor.nom.p.infl <- lm(Sweden.nom.int.rate ~ Sweden.infl.dev + > Sweden.GDP.gap + p + Sweden.infl) Call: lm(formula = Sweden.nom.int.rate ~ Sweden.infl.dev + Sweden.GDP.gap + p + Sweden.infl) Coefficients: (Intercept) Sweden.infl.dev Sweden.GDP.gap p 4.675 1.212 -43.695 NA Sweden.infl NA -- View this message in context: http://r.789695.n4.nabble.com/Regression-tp4598984.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.