Cross-validation for 10 groups

SASdevAnneMarie — Sun, 03 May 2026 13:07:16 GMT

Hello Experts,

I'm wondering if, for performing 10-fold cross-validation with the proc pls method=pcr method, I should use cv=split(10) cvtest(seed=12345)?

Thank you for your help!

Re: Cross-validation for 10 groups

Ksharp — Mon, 04 May 2026 01:40:06 GMT

I think "cv=split(10)" is good enough.

and I quoted:

CV=TESTSET(SAS-data-set)
specifies a test set of observations to be used for validation (formally, this is called “test set validation”
rather than “cross validation”).

or using "CV=ONE" or "CV=BLOCK(10)"

Re: Cross-validation for 10 groups

sbxkoenk — Mon, 04 May 2026 14:39:33 GMT

"cvtest" is optional indeed (concurring with @Ksharp).

... to be added only if you want van der Voet’s (1994) randomization-based model comparison test be performed.

See documentation:

SAS® Viya® Platform Programming Documentation | 2026.04

CV= Specifies the cross validation method to be used

https://go.documentation.sas.com/doc/en/pgmsascdc/v_074/statug/statug_pls_syntax01.htm#statug.pls.pls_prc_cvopt

CVTEST Specifies that van der Voet’s (1994) randomization-based model comparison test be performed

https://go.documentation.sas.com/doc/en/pgmsascdc/v_074/statug/statug_pls_syntax01.htm#statug.pls.pls_prc_cvtestopt

PROC PLS can specify various methods to be used for cross validation.

PROC HPPLS (multi-threaded High Performance PLS) supports test set validation only by using the PARTITION statement.
PROC PLSMOD (distributed computing = multi-node and multi-threaded in-memory CAS-enabled PLS) supports test set validation only by using the PARTITION statement.

BR, Koen

topic Re: Cross-validation for 10 groups in Statistical Procedures

Cross-validation for 10 groups

Re: Cross-validation for 10 groups

Re: Cross-validation for 10 groups