Dear All,

We came across a problem when using the "tree" package to analyze our data
set.

First, in the "tree" function, if we use the default value "mindev=0.01",
the resulting regression tree has a single node. So, we set "mindev=0", and
obtain a tree with 931 terminal nodes.

However, when we further use the "cv.tree" function to run a 10-fold
cross-validation, the error message is:

"Error in prune.tree(list(frame = list(var = 1L, n = 6676, dev =
3.28220789569792,  : can not prune singlenode tree".

Is the "cv.tree" function respecting the mindev chosen in the tree function
or what else might be wrong?

Thanks,
Shiyao

	[[alternative HTML version deleted]]

