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Command used: wombat ranreg3.par
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wombat ranreg3.par
Script started on 2025-05-26 17:08:25+1000
 WOMBAT 26-05-2025 Maximum no. of threads to be used set to	      8

 Will try to allocate large array: "RAWDAT" next
   ... size required		 :	 218070. elements
   ... individual dimensions	 :	    10	     21807
 Sucessfully read RAW data for in-core storage
 No. of records in total			   =	    21807
 No. of records in subset to be used		   =	    21807
 Routine "REDUCEPEDS" to eliminate animals not connected to the data
 -> this may not account properly for genotyped animals & their ancestors
    do not use this routine if you have such information - perform equivalent
    calculations yourself prior to running WOMBAT & use run option --norped
 Found redundant animals in pedigree -- new file "ReducedPedFile.dat"
 Total no. of IDs in pedigree file		   =	     4553
 ... no. of IDs "linked" to data		   =	     4511
 Pedigree file					   = ReducedPedFile.dat
 Total no. of animal IDs found			   =	     4511
 RR bspknot  -138.500	   -68.7500	  1.00000	70.7500       140.500	    210.250	  280.000	349.750
	      419.500
 Successfully allocated arrays for in-core NRM
	3768	   40000 F F F
 Successfully allocated arrays for in-core DATA
 alloc cor nr	     3768	40000 T T T
 No. of "subjects" in data			   =	     3768
 No. of combinations of records 		   =		1
 No. of effect codes/ind. (maxnr)		   =	       18
 LSQFix 	      1000000	    175680000  at row	    517      2196
 LSQFix 	      2000000	    175680000  at row	   1290      2196
 adjact ivcol	 17950806    17950806
 Start of "GENMMD": no. of rows 		   =	    29796
 genmmd        5000	  12201 	 22
 End of "GENMMD": no of subscripts		   =	   536923
 adjact ivcol	 17950806    17950806
 End of "SMBFCT": maxsub			   =	   336684	 29797
		  maxlnz			   =	  4563363
		  nnops 			   = 0.339320E+10 0.100000E+16
 "Super-nodes" :  No. of nodes			   =	     8261
		  Max. size			   =	     2640
 *** EM round	    0  log L =	-55127.7045	 D =   0.0000	    0.0000	Time	   28	    22
 *** EM round	    1  log L =	-50803.8061	 D =   4323.9	   0.21642	Time	   39	    29
 *** EM round	    2  log L =	-50158.1918	 D =   645.61	   0.55428E-01	Time	   39	    29
 *** EM round	    3  log L =	-49912.2724	 D =   245.92	   0.52450E-01	Time	   39	    29
 *** EM round	    4  log L =	-49775.8181	 D =   136.45	   0.46440E-01	Time	   39	    29
 *** AI iterate     5  log L =	-49444.8851	 D =   330.93	   0.30701	Time	   31	     4
 *** AI iterate     6  log L =	-49407.9862	 D =   36.899	   0.22065	Time	   25	     3
 *** AI iterate     7  log L =	-49364.8804	 D =   43.106	   0.15349	Time	   25	     3
 *** AI iterate     8  log L =	-49358.8956	 D =   5.9848	   0.42054E-01	Time	   29	     4
 *** AI iterate     9  log L =	-49357.1770	 D =   1.7186	   0.12344	Time	   25	     3
 *** AI iterate    10  log L =	-49339.6018	 D =   17.575	   0.99342E-01	Time	   25	     3
 *** AI iterate    11  log L =	-49334.1385	 D =   5.4633	   0.67416E-01	Time	   25	     3
 *** AI iterate    12  log L =	-49330.9720	 D =   3.1664	   0.32109E-01	Time	   25	     3
 *** AI iterate    13  log L =	-49330.4344	 D =  0.53760	   0.21359E-01	Time	   25	     3
 *** AI iterate    14  log L =	-49330.1168	 D =  0.31761	   0.15920E-01	Time	   24	     3
 *** AI iterate    15  log L =	-49329.9077	 D =  0.20909	   0.12326E-01	Time	   25	     3
 *** AI iterate    16  log L =	-49329.7622	 D =  0.14556	   0.97620E-02	Time	   25	     3
 *** AI iterate    17  log L =	-49329.6564	 D =  0.10577	   0.79102E-02	Time	   25	     3
 *** AI iterate    18  log L =	-49329.5770	 D =  0.79418E-01  0.65664E-02	Time	   24	     3
 *** AI iterate    19  log L =	-49329.5159	 D =  0.61137E-01  0.55782E-02	Time	   25	     3
 *** AI iterate    20  log L =	-49329.4679	 D =  0.47996E-01  0.48351E-02	Time	   25	     3
 *** AI iterate    21  log L =	-49329.4296	 D =  0.38274E-01  0.42603E-02	Time	   25	     3
 *** AI iterate    22  log L =	-49329.3987	 D =  0.30915E-01  0.38017E-02	Time	   25	     3
 *** AI iterate    23  log L =	-49329.3734	 D =  0.25235E-01  0.34249E-02	Time	   25	     3
 *** AI iterate    24  log L =	-49329.3527	 D =  0.20780E-01  0.31071E-02	Time	   25	     3
 *** AI iterate    25  log L =	-49329.3354	 D =  0.17243E-01  0.28335E-02	Time	   26	     3
 *** AI iterate    26  log L =	-49329.3210	 D =  0.14395E-01  0.25939E-02	Time	   25	     3
 *** AI iterate    27  log L =	-49329.3089	 D =  0.12085E-01  0.23816E-02	Time	   25	     3
 *** AI iterate    28  log L =	-49329.2987	 D =  0.10194E-01  0.21918E-02	Time	   25	     3
 *** AI iterate    29  log L =	-49329.2901	 D =  0.86352E-02  0.20208E-02	Time	   24	     3
 *** AI iterate    30  log L =	-49329.2828	 D =  0.73403E-02  0.18661E-02	Time	   25	     3
 *** AI iterate    31  log L =	-49329.2765	 D =  0.62607E-02  0.17256E-02	Time	   24	     3
 *** AI iterate    32  log L =	-49329.2712	 D =  0.53540E-02  0.15975E-02	Time	   25	     3
 *** AI iterate    33  log L =	-49329.2666	 D =  0.45935E-02  0.14805E-02	Time	   25	     3
 *** AI iterate    34  log L =	-49329.2626	 D =  0.39477E-02  0.13733E-02	Time	   25	     3
 *** AI iterate    35  log L =	-49329.2592	 D =  0.34004E-02  0.12750E-02	Time	   25	     3
 *** AI iterate    36  log L =	-49329.2563	 D =  0.29366E-02  0.11846E-02	Time	   25	     3
 *** AI iterate    37  log L =	-49329.2537	 D =  0.25398E-02  0.11014E-02	Time	   25	     3
 *** AI iterate    38  log L =	-49329.2515	 D =  0.21987E-02  0.10247E-02	Time	   25	     3
 *** AI iterate    39  log L =	-49329.2496	 D =  0.19076E-02  0.95396E-03	Time	   25	     3
 *** AI iterate    40  log L =	-49329.2480	 D =  0.16571E-02  0.88857E-03	Time	   24	     3
 *** AI iterate    41  log L =	-49329.2465	 D =  0.14416E-02  0.82809E-03	Time	   25	     3
 *** AI iterate    42  log L =	-49329.2453	 D =  0.12554E-02  0.77209E-03	Time	   26	     3
 *** AI iterate    43  log L =	-49329.2442	 D =  0.10937E-02  0.72022E-03	Time	   25	     3
 *** AI iterate    44  log L =	-49329.2432	 D =  0.95565E-03  0.67210E-03	Time	   25	     3
 *** AI iterate    45  log L =	-49329.2424	 D =  0.83317E-03  0.62745E-03	Time	   24	     3
 *** AI iterate    46  log L =	-49329.2417	 D =  0.72940E-03  0.58598E-03	Time	   24	     3
 *** AI iterate    47  log L =	-49329.2410	 D =  0.63760E-03  0.54744E-03	Time	   25	     3
 *** AI iterate    48  log L =	-49329.2405	 D =  0.55885E-03  0.51161E-03	Time	   24	     3
 *** AI iterate    49  log L =	-49329.2400	 D =  0.48881E-03  0.47827E-03	Time	   24	     3
 *** AIREML seems to have converged: Change in log L <	0.500000E-03
     Last change in log L			   = 0.488813E-03
     Norm of gradient vector			   = 0.442652E-01 (should be close to 0)
     Newton decrement				   =-0.252781E-03 (should be close to 0)
   1  animal		     11877  zero soln.s       1
   2  subject		     11304  zero soln.s       4
   3  pdam		      4419  zero soln.s       2
 SS residuals	81573.0
 Eigenvalues of AI matrix
    269.376	   233.565	  166.454	 129.956	105.009        95.8700	      81.6770	     74.0408
    71.6644	   62.0420	  40.8426	 39.5674	34.9976        32.5808	      27.7077	     27.6130
    23.5664	   20.9877	  18.5713	 17.6712	16.1777        13.8585	      13.0928	     11.4566
    11.2717	   10.9332	  9.88270	 9.06875	7.85693        7.13784	      6.88290	     6.36206
    6.06272	   5.20680	  4.90178	 4.41567	4.19120        3.65073	      3.45569	     2.73844
    2.08500	   1.85952	  1.38313	 1.18431       0.864940       0.652985	     0.444480	    0.341010
   0.229010	  0.148498	 0.142174	0.994746E-01   0.689186E-01   0.378236E-01   0.218567E-01
 Total time used (secs): CPU =	      1334  System =	     308
 Machine used = "didgeridoo"
 "WOMBAT" has finished !  26/05/2025


1285.961u 48.059s 5:08.32 432.6%	0+0k 0+33328io 0pf+0w

Script done on 2025-05-26 17:13:33+1000
