@statman123 wrote: hello   I am in need of R syntax to put in R studio to build the following   Decision Tree Reg Neural   I know I need rpart and rpart.plot for the tree, GLM for Reg, and NNET for neural   I have R 3.5 version the latest   need asap as im devloping course for NC state   george   ghabek@ncsu.edu Probably better asked in an R forum? Or is this related to SAS somehow?     ... View more

If this is 'critical' you may want to contact SAS Tech Support for assistance instead of the community forum. EM questions take a while to get answered on here.      ... View more

Keep in mind the recommended version of R. (taken from EM help) R Configuration Typically, R is installed on the same machine as the SAS Enterprise Miner Server. The Open Source Integration node is verified to work with 64-bit R 3.12, the pmml 1.4.2 package, and the XML 3.98-1.1 package. It is not recommended that you use 32-Bit R because SAS Enterprise Miner data sources often require large allocations of memory. ... View more

Since it looks like EM doesn't calculate that measure, you could do the following in a SAS Code node after the Model Comparison node (not sure if this is the best way, but I think it should work):   data mae; set &em_import_data end=last; /* you can use another partition here: &em_import_validate or &em_import_test */ retain sae nobs 0; sae + abs(R_target); /* R_target is the residual. Put the name of your target in for target */ nobs + 1; if last then do; mae = sae / nobs; output; end; run; proc print data=mae; run;   ... View more