Thanks for your answer. I decided to work with cross validation, but Iam still interested what the problem is. The log statement is the following: 2 Data test; 3 set mylibf1.endversion; 4 where houyear=2005; 5 run; NOTE: There were 1859 observations read from the data set MYLIBF1.ENDVERSION. WHERE houyear=2005; NOTE: The data set WORK.TEST has 1859 observations and 29 variables. NOTE: DATA statement used (Total process time): real time 0.06 seconds cpu time 0.04 seconds 6 proc glmselect data=mylibf1.endversion plots=all seed=123 valdata=test; NOTE: Writing HTML Body file: sashtml.htm 7 where 2000 <= Houyear <= 2004; 8 model F1_Earn_s_t= BV_s_t negE negEE_s_t c_sales_s_t c_cogs_s_t c_oe_s_t c_int_s_t c_tax_s_t 8 ! c_other_s_t del_ar_s_t del_inv_s_t del_ap_s_t depr_s_t amort_s_t oth_acc_s_t 9 /selection= lasso (stop=none choose=validate) ; 10 ods output parameterestimates= test; 11 run; ERROR: Selection aborted as there are no suitable observations for validation. NOTE: The SAS System stopped processing this step because of errors. WARNING: Output 'parameterestimates' was not created. Make sure that the output object name, label, or path is spelled correctly. Also, verify that the appropriate procedure options are used to produce the requested output object. For example, verify that the NOPRINT option is not used. NOTE: There were 7513 observations read from the data set MYLIBF1.ENDVERSION. WHERE (Houyear>=2000 and Houyear<=2004); NOTE: PROCEDURE GLMSELECT used (Total process time): real time 0.99 seconds cpu time 0.25 seconds 12 Data test; 13 set mylibf1.endversion; 14 where houyear=2005; 15 run; ERROR: You cannot open WORK.TEST.DATA for output access with member-level control because WORK.TEST.DATA is in use by you in resource environment ViewTable Window. NOTE: The SAS System stopped processing this step because of errors. NOTE: DATA statement used (Total process time): real time 0.01 seconds cpu time 0.01 seconds 16 Data test; 17 set mylibf1.endversion; 18 where houyear=2005; 19 run; NOTE: There were 1859 observations read from the data set MYLIBF1.ENDVERSION. WHERE houyear=2005; NOTE: The data set WORK.TEST has 1859 observations and 29 variables. NOTE: DATA statement used (Total process time): real time 0.03 seconds cpu time 0.03 seconds 20 proc glmselect data=mylibf1.endversion plots=all seed=123 valdata=test; 21 where 2000 <= Houyear <= 2004; 22 model F1_Earn_s_t= BV_s_t negE negEE_s_t c_sales_s_t c_cogs_s_t c_oe_s_t c_int_s_t c_tax_s_t 22 ! c_other_s_t del_ar_s_t del_inv_s_t del_ap_s_t depr_s_t amort_s_t oth_acc_s_t 23 /selection= lasso (stop=none choose=validate) ; 24 ods output parameterestimates= test_2; 25 run; ERROR: Selection aborted as there are no suitable observations for validation. NOTE: The SAS System stopped processing this step because of errors. WARNING: Output 'parameterestimates' was not created. Make sure that the output object name, label, or path is spelled correctly. Also, verify that the appropriate procedure options are used to produce the requested output object. For example, verify that the NOPRINT option is not used. NOTE: There were 7513 observations read from the data set MYLIBF1.ENDVERSION. WHERE (Houyear>=2000 and Houyear<=2004); NOTE: PROCEDURE GLMSELECT used (Total process time): real time 0.18 seconds cpu time 0.06 seconds ... View more

Sry maybe I was not clear enough. I can safe the data in a seperate dataset, that is not the problem. The problem is that it does not work in the lasso-code. The valdata=... step does not work ... View more

Maybe one more information, I never worked parallel with both folders. So if I change something in the folder regression, I have only opened this folder in sas (libname data '/folders/myfolders/regression';) and not the other one. ... View more

Hmm , but it revers to completely different folders, so when I open f.e. libname data '/folders/myfolders/regression'; then all the datasheets in the order "regression" are shown in sas. The datasheets in the folder "dataset" are not shown and not changed after I worked in sas. ... View more

for both input and output. And the folders are on the same level. I used it in the following way: libname data '/folders/myfolders/dataset'; libname data '/folders/myfolders/regression'; I think everything works fine, I just want to go sure ... View more