[R] error using method ls.ranking.capa.ident
Good Day I'm trying to run the generalized least square approach for my 2-additive problem, unfortunately this error appeared. I have tried to figure out the error from the mailing list but couldn't find the solution. Any help is highly appreciated. This is my source code: a1 - c(76.18, 61.84, 60.4, 69.09) a2 - c(51.01, 50.39, 87.62, 52.03) a3 - c(80.08, 48.49, 90.86, 76.11) a4 - c(57.71, 38.99, 88.7, 53.12) a5 - c(71.93, 82.04, 83.05, 85.99) a6 - c(60.94, 71.12, 63.61, 69.47) ##preference threshold relative ## to the preorder of the alternatives C- rbind (a1, a2, a3, a4, a5, a6) overall - c (79, 78, 79.5, 77.5, 80, 78.5) rk.proto - rbind (c(5,3), c(3,1), c(1,6), c(6,4), c(4,2)) Asp -rbind (c(1,2,-delta.S), c(2,1,-delta.S), c(3, 4,-delta.S), c(4, 3, -delta.S)) ## an interaction preorder constraint matrix delta.I - 0.05 Aii - rbind (c(1,2,-1,-delta.I), c(1,3,delta.I, 1), c (1,4,-1,-delta.I), + c(2,3, delta.I,1), c(2, 4,-1,-delta.I), c(3,4,delta.I, 1)) gls -ls.ranking.capa.ident(4,2,C, rk.proto,0.5, A.Shapley.preorder = Asp, A.interaction.interval = Aii) Error in drop(.Call(La_dgesv, a, as.matrix(b), tol, PACKAGE = base)) : system is computationally singular: reciprocal condition number = 4.68861e-18 [[alternative HTML version deleted]] __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] error using method ls.ranking.capa.ident
I'm trying to run the generalized least square approach for my 2-additive problem, unfortunately this error appeared. I have tried to figure out the error from the mailing list but couldn't find the solution. Any help is highly appreciated. This is my source code: a1 - c(76.18, 61.84, 60.4, 69.09) a2 - c(51.01, 50.39, 87.62, 52.03) a3 - c(80.08, 48.49, 90.86, 76.11) a4 - c(57.71, 38.99, 88.7, 53.12) a5 - c(71.93, 82.04, 83.05, 85.99) a6 - c(60.94, 71.12, 63.61, 69.47) ##preference threshold relative ## to the preorder of the alternatives C- rbind (a1, a2, a3, a4, a5, a6) overall - c (79, 78, 79.5, 77.5, 80, 78.5) rk.proto - rbind (c(5,3), c(3,1), c(1,6), c(6,4), c(4,2)) Asp -rbind (c(1,2,-delta.S), c(2,1,-delta.S), c(3, 4,-delta.S), c(4, 3, -delta.S)) ## an interaction preorder constraint matrix delta.I - 0.05 Aii - rbind (c(1,2,-1,-delta.I), c(1,3,delta.I, 1), c (1,4,-1,-delta.I), + c(2,3, delta.I,1), c(2, 4,-1,-delta.I), c(3,4,delta.I, 1)) gls -ls.ranking.capa.ident(4,2,C, rk.proto,0.5, A.Shapley.preorder = Asp, A.interaction.interval = Aii) Error in drop(.Call(La_dgesv, a, as.matrix(b), tol, PACKAGE = base)) : system is computationally singular: reciprocal condition number = 4.68861e-18 [[alternative HTML version deleted]] __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
