Hi All,
I created a two variable lm() model
slm-lm(y[1:3000,8]~y[1:3000,12]+y[1:3000,15])
I made two predictions
predict(slm,newdata=y[201:3200,])
predict(slm,newdata=y[601:3600,])
there is no error message for either of these.
the results are identical, and identical to slm$fitted as
Try this:
# regression of Sepal.Length on cols 2 and 4 using first 100 rows
iris.lm - lm(Sepal.Length ~ ., iris[,c(1,2,4)], subset = 1:100)
# now do it with next 50 rows
predict(update(iris.lm, subset = 101:150))
# double check - this gives same result as last line
predict(lm(Sepal.Length ~ .,
Sorry, I don't think that my earlier reply was what you wanted.
Try this instead:
# fit using first 100 points
iris.lm - lm(Sepal.Length ~., iris[1:100,c(1,2,4)])
# predict using coefficients from above and variables from next 50 points
predict(iris.lm, iris[101:150, c(1,2,4)])
On 5/2/06,
