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. Thanks in advance for your help. Larry ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
