Hello I have need the last modification in my proc programming that can also estimate the 95% CI (Confidence Interval), though my proc programming estimate 95% CL but I need 95% CI (Confidence Interval). Best regards, data exp; set geumar2; if expno=1; run; ; proc nlin data=exp method=marquardt; parms B=0.5 R=0.1; delta=0.000001; s=sow**(1-B)-R*(1-B)*time; if s>0 then stx=s**(1/(1-B)); else stx=0; model stw=stx; sb=(sow**(1-B+delta)-R*(1-B+delta)*time); if sb>0 then sdb=(stx-sb**(1/(1-B+delta)))/delta; else sdb=0; der.B=sdb; sr=(sow**(1-B)-(R-delta)*(1-B)*time); if sr>0 then sdr=(stx-sr**(1/(1-B)))/delta; else sdr=0; der.R=sdr; output out=expp p=pstw r=stw_residual; run; proc summary data=expp; var stw_residual stw; output out=stats css(stw)=sstot uss(stw_residual)=ssres N=N; run; data expp; set stats; rsquared=1-(ssres/sstot); adjrsquared = 1-(1-rsquared)*(N-1) / (N- 2 -1); run; proc print data=expp; run;
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