Hi:
This 'works':
> di <- read.csv(textConnection("
+ 10,2000
+ 12,2001
+ 13,2002
+ 15,2003
+ 17,2004"), header = FALSE)
> names(di) <- c('y', 'year')
> m <- lm(y ~ year, data = di)
> diextra <- data.frame(year = c(1990, 1991, 1993))
> predict(m, new = diextra)
123
-7.0 -5.3 -1.9
You
Readers,
Data was imported using the read csv command:
dataimport<-read.csv("/path/to/dataimport.csv")
10,2000
12,2001
13,2002
15,2003
17,2004
Using the help contents for 'predict.lm' (i.e. ?predict.lm) a new data
frame was created
dataimportextra<-data.frame(x=seq(1990,2010,1))
predict(lm(dat
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