[R] prediction of non-numeric values

[Saket Joshi]

Hi,

I used the lm() function to fit a linear model to a set of items that I
got from a file using the read.table() function.

The response variable in this case is non-numeric.

When I used some of the data in the same file and tried to predict the
response variable for the first 5 rows by doing:

> pred <- predict(model, newdata)
> pred
        1         2         3         4         5
37.890006 82.584161 30.794062  3.796456 41.568923

The predictions should have been those non-numeric values that were in the
response variable field when I fitted the model. Now I want to compare and
see if the predictions are correct. Can someone tell me how to extract
those non-numeric values from this.

Thanks in advance.
-Saket.



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