I normally find the R square values in the "squared multiple correlation" matrix that I found by this step: Proc Calis Data = ESS1 kurtosis covariance modification toteff;   But now I have to find the errorterms (so the R square values? or is there another way?) via a PROC REG step. ... View more

So normally I get them out of this step. A PROC CALIS. Proc Calis Data = ESS1 kurtosis covariance modification toteff;   But the assignment is to get the errorterms out the PROC REG output. ... View more

It's true. I don't get the Squared Multiple Correlations if I do it with PROC REG... That's why I'm hoping that someone knows a different way to get to the errorterms. ... View more

Okay so normally I calculate the errorterms by doing the syntax I sended earlier.  Like here:   Data errortest; ErrHAPPY = sqrt (1-0.0115); ErrHLPPPLRev = sqrt (1-0.000904); ErrTVTOT = sqrt (1-0.0387); ErrRGLDGR = sqrt (1-0.0568); Run;   But in that case, I have to search for the R squared values in my results in the SQUARED MULTIPLE CORRELATIONS matrix and manually type them over.    Now I have an assignment; it asks me to write a SAS programme that does NOT require me to type the R2 values from the output, but can pick them up from a data file. And I have to use the output function of PROC REG for it.   If someone knows which code I have to write with PROC REG to eventually get the errorterms (ErrHAPPY, ErrHLPPPLRev, ErrTVTOT, ErrRGLDGR), let me know.   Thank you! ... View more

This is my full code. And this produces the Squared Multiple Correlations.   proc contents data=ess1; run;   Proc Freq Data = ESS1; Tables AGEA GNDR MARITAL HLPPPL TVTOT RLGDGR HAPPY; Run; Data ESS1; Set ESS1; HLPPPLRev = 8 - HLPPPL; Label HLPPPLRev = 'Hoe vaak mensen helpen'; Run;   Proc Freq Data = ESS1; Tables HLPPPL HLPPPLRev; Run; Data ESS1; Set ESS1; GNDRdum = (GNDR = 1); IF GNDR <0 then GNDRdum = .; D1marital = (MARITAL = 2); If MARITAL <0 then D1marital = .; D2marital = (MARITAL = 3); If MARITAL <0 then D2marital = .; D3marital = (MARITAL = 4); If MARITAL <0 then D3marital = .; D4marital = (MARITAL = 5); If MARITAL <0 then D4marital = .; Label GNDRdum = 'Dummy Geslacht - Man' D1marital = 'Dummy BurgStaat – Uiteen' D2marital = 'Dummy BurgStaat - Gescheiden' D3marital = 'Dummy BurgStaat - Weduwe/weduwnaar' D4marital = 'Dummy BurgStaat - Nooit gehuwd'; Run;   Proc Freq Data = ESS1; Tables GNDR GNDRdum; Run;   Proc Freq Data = ESS1; Tables MARITAL D1marital D2marital D3marital D4marital; Run;   Proc Calis Data = ESS1 kurtosis covariance modification toteff;   Lineqs HAPPY = PV1V2 HLPPPLRev + PV1V3 TVTOT + PV1V4 RLGDGR + PV1V5 BLNCMIG + PV1V6 AGEA + PV1V7 GNDRDum + E1, HLPPPLRev = PV2V4 RLGDGR + E2, TVTOT = PV3V2 HLPPPLRev + PV3V6 AGEA + PV3V7 GNDRdum + E3, RLGDGR = PV4V7 GNDRdum + PV4V8 D1marital + PV4V9 D2marital + PV4V10 D3marital + PV4V11 D4marital + E4;   STD BLNCMIG = VarV5, AGEA = VarV6, GNDRdum = VarV7, D1marital = VarV8, D2marital = VarV9, D3marital = VarV10, D4marital = VarV11, E1 = VarE1, E2 = VarE2, E3 = VarE3, E4 = VarE4;   Cov  BLNCMIG AGEA  = CV5V6, BLNCMIG GNDRdum   = CV5V7, BLNCMIG D1marital = CV5V8, BLNCMIG D2marital = CV5V9, BLNCMIG D3marital = CV5V10, BLNCMIG D4marital = CV5V11, AGEA GNDRdum  = CV6V7, AGEA D1marital = CV6V8, AGEA D2marital = CV6V9, AGEA D3marital = CV6V10, AGEA D4marital = CV6V11, GNDRdum D1marital = CV7V8, GNDRdum D2marital = CV7V9, GNDRdum D3marital = CV7V10, GNDRdum D4marital = CV7V11, D1marital D2marital = CV8V9, D1marital D3marital = CV8V10, D1marital D4marital = CV8V11, D2marital D3marital = CV9V10, D2marital D4marital = CV9V11, D3marital D4marital = CV10V11;   Var AGEA GNDRdum D1marital D2marital D3marital D4marital BLNCMIG HLPPPLRev TVTOT RLGDGR HAPPY;  Run; ... View more