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Hello, I need to classify (i.e., export a vector with terminal node id's) new cases using a ctree (party package) model based on different cases (learning sample). I tried the where command with the following syntax: > where(tree, newdata=data2) expecting to get terminal nodes of data2 cases based on rules of tree model (data1 as learning sample). However it returned the following error

This seems like a problem that others may have run into before. I got a merged dataset from SPSS. It has ~750 columns X 3400 rows. Most of the cell entries are NA. There are about 375 rows that contain observations on all variables and I want to extract this subset from the original list (of lists). I'm pretty sure I can do it programmatically in R but it will take me a few hours to write