topic Re: NLMixed: Upper Limit on number of Random Effects in SAS Procedures https://communities.sas.com/t5/SAS-Procedures/NLMixed-Upper-Limit-on-number-of-Random-Effects/m-p/34776#M8522 The technical upper limit is much higher than the practical upper limit.<BR /> <BR /> Check the documentation for computational problems and computational resources. A couple of things are likely to be going on.<BR /> 1) you have run out of real memory and the system is swapping<BR /> 2) by adding additional random effects, the model is no longer as well specified and the algorithm is having a hard time converging. <BR /> <BR /> 1) invites a hardware solution.<BR /> 2) requires skull time and data investigation. Tue, 29 Jul 2008 22:00:14 GMT Doc_Duke 2008-07-29T22:00:14Z NLMixed: Upper Limit on number of Random Effects https://communities.sas.com/t5/SAS-Procedures/NLMixed-Upper-Limit-on-number-of-Random-Effects/m-p/34775#M8521 Can anyone tell me what the upper limit is for the number of random effects in NLMIXED? I get a model to run with 2 REs. I see an example in the documentation with 3. I could use 4. The software doesn't object to a submission of 4 but wants to take forever and I've not yet gotten a set of results.<BR /> <BR /> Thanks.<BR /> <BR /> T<BR /> <BR /> Message was edited by: Turgidson Message was edited by: Turgidson Tue, 29 Jul 2008 13:01:08 GMT https://communities.sas.com/t5/SAS-Procedures/NLMixed-Upper-Limit-on-number-of-Random-Effects/m-p/34775#M8521 deleted_user 2008-07-29T13:01:08Z Re: NLMixed: Upper Limit on number of Random Effects https://communities.sas.com/t5/SAS-Procedures/NLMixed-Upper-Limit-on-number-of-Random-Effects/m-p/34776#M8522 The technical upper limit is much higher than the practical upper limit.<BR /> <BR /> Check the documentation for computational problems and computational resources. A couple of things are likely to be going on.<BR /> 1) you have run out of real memory and the system is swapping<BR /> 2) by adding additional random effects, the model is no longer as well specified and the algorithm is having a hard time converging. <BR /> <BR /> 1) invites a hardware solution.<BR /> 2) requires skull time and data investigation. Tue, 29 Jul 2008 22:00:14 GMT https://communities.sas.com/t5/SAS-Procedures/NLMixed-Upper-Limit-on-number-of-Random-Effects/m-p/34776#M8522 Doc_Duke 2008-07-29T22:00:14Z