So your CSV file looks now something like this: 1:2:3:4:5:1 0.1:0.22:1.3:2.4:1.5:2 ... 0.1:0.22:1.3:2.4:1.5:243 And when you run this program through the supercomputer, you have the following datasets: fixedall_final1, fixedall_final2, ..., fixedall_final243, randomall_final1, randomall_final2, ..., randomall_final243, And the problem is, that for example the content of fixedall_final1, fixedall_final2, fixedall_final3, fixedall_final4, fixedall_final5 is the same? First of all double check your CSV file. The last 2 data steps I wrote should be not included into your program!  You should run them separately, after running the 243 scenarios! Is the libname statment exactly this in your program? (So you have not changed it in the post to hide the path?) libname r " "; I think the system runs your 243 tasks in paralell, but allways 5 or 6 instances at a time. And somehow the results overwrite eachother. Does the supercomputer system manual contain something about how to write the code? Maybe restrictions about the usage of libraries? About usage of WORK libraries? If still not working, you could try to include the &combinationNum. suffix to all the dataset names that you use. ... View more

Append your score data set to the training data set. Then run PROC NLIN with the OUTPUT statement. ... View more

Hi, yes, you can convert an EG Tast or an EG flow to a Stored Process, than use that Stored Process in VA reporting. Have you tried it? If yes (and somthing is not working) what are  the obstacles you have? ... View more

The code you posted does not run in parallel. Is there a wrapper code, that runs this 243 times? Perhaps include one more parameter in the &sysparm vector. Then you will have one aditional line: %let combinationNum = %scan(&sysparm,6,':'); And change the last 2 data steps to: data r.fixedall&combinationNum.; set fixedall1; run; data r.randomall&combinationNum.; set randomall1; run; At the very end you have to asseble the 243 results with 2 additional data steps: data r.fixedall_final;      set r.fixedall:; run; data r.randomall_final;      set r.randomall:; run; ... View more

Hi, have a look at this PROC TTEST example: SAS/STAT(R) 13.2 User's Guide ... View more

Do you want to calculate the trend for each CustID? Year_Trend = 2015Q1_flags - 2014Q1_flags Qtr_Trend   = 2015Q1_flags - 2014Q4_flags Or are you looking for a statistical test, that shows whether there is a trend? (Paired T-test) ... View more

I suggest first writing all the responses to a temporary file, and than reading that file with the xml libname engine. Instead of the static filename and file statements you can use the more dynamic filename(), fopen(), etc functions inside the data step. Taking your example you would create 4 temporary files inside the data step and then using them in the soapweb() function. But maybe you can also re-use the one single file (reqest - in your example)  -  have you tried that? If everything is working fine, you could also try to dynamically create xml librefs pointing to dynamically created files inside the data step ( libname() function ). But I think this would be slower then the "first write all responses to a file" approach. If your xml is simple enough, you could avoid using xml libname engine, and reading the SOAP responses directly with string processing functions. If you have a working example, that calls a public web service with static methods (PROC SOAP), you could share it here, so we can enhance it. ... View more

Yes, you need the outargs statement if you want to update the array and want to be the result "permanent" (accessible from the calling code). ... View more