Larry White [EMAIL PROTECTED] writes:
hello,
I'm trying to predict some values based on a linear regression model.
I've created the model using one dataframe, and have the prediction
values in a second data frame (call it newdata). There are 56 rows in
the dataframe used to create the model and 15 in newdata.
I ran predict(model1, newdata) and get the warning: 'newdata' had 15
rows but variable(s) found have 56 rows
When i checked help(predict.lm) I found this:
Variables are first looked for in newdata and then searched for in
the usual way (which will include the environment of the formula used
in the fit). A warning will be given if the variables found are not of
the same length as those in newdata if it was supplied.
My questions are - how can I just get predicted values for the 15 rows
in the newdata data frame, and if that's not possible, how can I tell
which of the 56 predicted values are derived from newdata only, if
any.
You need to have all your predictors represented in newdata. You seem
to have at least one of them missing (a typo in a variable name could
do that).
--
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