[R] correlating matrices

[frauke]

Thank you for the fast help!

I am not sure though if I understand the predict.lm business. The newdata
that I would make predictions from consists of six matrices, one for each
variable. Do I cbind the matrices like you suggest for the regression and
then convert them to a dataframe? How does R know which column in the matrix
I created with cbind belongs to which variable in the regression?

One last question. If I use predict.lm without newdata it gives me as many
data points as were used for the regression. However, in my matrices I have
rows of NA for days without observations. My problem is now that if
predict.lm only gives me the datapoints used for regression I can not match
them to the actual observations days anymore. Is there anyway of keeping the
original matrix and put the predicted value in it?

Thanks again, Frauke






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