Hello list, Does predict.lm() take ts object. I am aware that it requires data to come in data.frame
Here's the time series regression. y = t + Q1 + Q2 + Q3 + Q4 Here's my R code, > dat <- rnorm(20) > tsdat <- ts(dat, start=c(1900, 1), freq=4) > q <- as.factor(rep(1:4, 5)) > t <- 1:20 > lm(tsdat~t+q) Call: lm(formula = tsdat ~ t + q) Coefficients: (Intercept) t q2 q3 q4 -0.167030 -0.009484 0.507132 0.113818 -0.734521 > predict(model, newdata=newdata) 1 2 3 4 5 6 -0.17651394 0.32113359 -0.08166464 -0.93948758 -0.21445060 0.28319692 7 8 9 10 11 12 -0.11960131 -0.97742425 -0.25238727 0.24526025 -0.15753798 -1.01536092 13 14 15 16 17 18 -0.29032394 0.20732358 -0.19547465 -1.05329759 -0.32826061 0.16938691 19 20 -0.23341132 -1.09123426 Warning message: 'newdata' had 4 rows but variables found have 20 rows I am aware predict.lm() requires all data to be in data frame format. Could someone tell me what is wrong? Thanks! Mike [[alternative HTML version deleted]] ______________________________________________ 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.