Hello, I have a dataset (scenario) with 1,000 rows in Excel. I want to use the Scenred function in GAMS to reduce these from 1,000 scenarios to 50 scenarios (ultimately, by multiplying each of the 50 scenarios by its probability, a final scenario will be generated). Unfortunately, after studying the Scenred guide on the GAMS website, I couldn’t implement the code in GAMS. Could you please provide some guidance on this matter?
.
.
.
5.320649889 1.996426781 3.559520722 2.545681292 3.004219739 7.641888825 2.322456591 6.907222802 3.68598499 3.385651085 11.79468871 5.124222517 9.05681323 2.844967941 5.609810324 3.163111952 3.98580123 2.223736613 3.47926214 2.144830338 3.505935522 7.583989005 0 12.81385769 9.20111244 0.944723313 1.685928327 5.534101932 7.874460037 8.749598634 2.985570476 2.640739605 9.210576877 6.47946614 20.19010358 1.864077195 11.4259932 1.336462934 2.571068043 3.928339768 2.561526504 0.776913429 1.371948376 8.405113671 4.026969919 1.194998099 10.23435935 3.518429634 6.456906846 8.442319376 2.025461846 1.717522234 4.647694423 1.316038758 3.504173447 5.894592683 0 0 4.526346578 2.695248022 5.085058415 8.660107544 2.898592743 11.66618999 0.660785616 2.867113432 15.1442639 3.641420368 5.554543156 8.066267923 2.044264686 2.37247393 12.85878496 5.272376836 3.700490803 2.122849929 8.984506398 1.298384687 5.964151261 0 3.227978017 11.364943 1.396208859 0.590697454 3.457034388 2.507814906 21.58038713 5.714608854 6.654917712 5.246990788 4.257917474 7.409227385 2.474763648 10.3498001 3.919434722 7.344911839 9.272198819 8.585988377 1.959208367 11.0200129 9.627737144 7.266227992 10.54070395 4.013723056 1.553955058 3.067705275 13.70384119 5.999212926 4.717763933 12.28305889 11.40926261 3.806920508 4.093042084 4.937099314 14.65450437 1.981841973 3.0766981 5.890138266 1.690855961 2.13545879
5.386721852 2.169600318 1.021799839 3.659872075 4.065609688 2.828544279 3.051576107 10.35219704 3.035211827 6.201299151 12.91778999 1.465052839 6.599138172 1.62573554 4.709875516 1.658035255 2.546963197 5.560028121 1.718874705 2.596626195 4.091973173 1.95642412 0 1.211720441 3.108034125 1.539283479 3.781417831 5.793453245 5.895587041 2.373711651 1.203885699 5.163530648 5.746131127 10.97986629 3.371965511 2.392087417 9.933434386 1.875518178 4.983130062 6.342883904 0.936272543 6.323301752 1.777942774 9.995552547 2.855737212 0.383677295 14.35510863 2.946307049 16.41290516 3.518004507 2.103065029 16.92735099 8.444990226 9.6756805 9.719260888 10.31212253 0 0 0.751683154 0.239607284 3.553402687 6.606683881 1.062174467 11.48931976 1.487789208 1.01548649 12.3486043 7.3752093 12.20274227 5.516748382 4.830307759 19.09426793 4.692956924 5.692707799 4.416211831 4.66462835 7.584741003 4.660376588 5.992122939 0 4.014778013 11.57611924 2.261444998 8.078036999 3.521584776 1.776176996 10.69095901 7.722711013 3.010162283 5.224411997 2.715081246 2.588015955 5.456831653 7.227551374 9.745399986 2.460561343 11.066434 3.643550755 0.093918649 1.583440394 2.371778009 8.137164843 10.26148607 1.414666412 4.28113032 2.14084718 12.32986803 2.744004331 8.601042685 9.051064568 8.365344929 12.74001827 3.780559063 5.057864531 3.69027281 1.732500716 9.134697351 0.300959041 1.449587889 11.15141375
.
.
.
Thank you.