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Command used: wombat ranreg5.par
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wombat ranreg5.par
Script started on 2025-05-26 17:14:47+1000
 WOMBAT 26-05-2025 Maximum no. of threads to be used set to	      8

 Option for covariances between random effects can be tricky!!!
 "sigam" with randreg or principal
 *** WOMBAT is work in progress !
     The particular combination of features selected has not
     been fully tested/fault trapped and/or may cause
     problems - Proceed with CAUTION !
 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
 FX bspknot  -110.600	   -54.8000	  1.00000	56.8000       112.600	    168.400	  224.200	280.000
	      335.800	    391.600
 No. of "subjects" in data			   =	     3768
 No. of combinations of records 		   =		1
 No. of effect codes/ind. (maxnr)		   =	       21
 LSQFix 	      1000000	    175840000  at row	    394      2198
 LSQFix 	      2000000	    175840000  at row	    999      2198
 adjact ivcol	 27924858    27924858
 Start of "GENMMD": no. of rows 		   =	    46539
 genmmd        5000	  21260 	 19
 genmmd       10000	  42368 	 30
 End of "GENMMD": no of subscripts		   =	   800988
 adjact ivcol	 27924858    27924858
 End of "SMBFCT": maxsub			   =	   485178	 46540
		  maxlnz			   =	  6621740
		  nnops 			   = 0.568297E+10 0.100000E+16
 "Super-nodes" :  No. of nodes			   =	    11833
		  Max. size			   =	     3110
 *** AI iterate     0  log L =	-50618.3255	 D =   0.0000	    0.0000	Time	   17	    12
 *** AI iterate     1  log L =	-49533.2387	 D =   1085.1	   0.12198	Time	   35	     5
 *** AI iterate     2  log L =	-49474.4271	 D =   58.812	   0.32962E-01	Time	   42	     6
 *** AI iterate     3  log L =	-49355.8167	 D =   118.61	   0.12341	Time	   29	     4
 *** AI iterate     4  log L =	-49343.3479	 D =   12.469	   0.30065E-01	Time	   29	     4
 *** AI iterate     5  log L =	-49343.2569	 D =  0.90977E-01  0.49495E-02	Time	   29	     4
 *** AI iterate     6  log L =	-49343.2549	 D =  0.20919E-02  0.11115E-02	Time	   29	     4
 *** AI iterate     7  log L =	-49343.2548	 D =  0.77707E-04  0.24083E-03	Time	   29	     4
 *** AIREML seems to have converged: Change in log L <	0.500000E-03
     Last change in log L			   = 0.777067E-04
     Norm of gradient vector			   = 0.160144	  (should be close to 0)
     ... "Cholesky" scale			   = 0.869582E-01 (should be close to 0)
     Newton decrement				   =-0.632761E-04 (should be close to 0)
   1  animal+gdam	     22555  zero soln.s       2
   2  subject		     18840  zero soln.s       0
   3  pdam		      2946  zero soln.s       0
 SS residuals	77200.7
 Eigenvalues of AI matrix
    8735.18	   2172.10	  1723.26	 1123.94	955.977        639.714	      464.939	     247.430
    208.789	   171.319	  158.757	 130.104	121.032        115.087	      110.930	     107.968
    95.4886	   86.2837	  76.7500	 70.3708	56.0678        43.0677	      40.6489	     38.2539
    36.3198	   31.4660	  27.6622	 25.6176	20.4595        19.2405	      15.8117	     14.0915
    10.9519	   7.26651	  5.23289	 4.37048	3.60579        2.92122	      1.53413	     1.23922
    1.00038	  0.460450	 0.299252
 writing out of var functions for correlated random
 effects not implemented - skipping ...
 Total time used (secs): CPU =	       248  System =	      46
 Machine used = "didgeridoo"
 "WOMBAT" has finished !  26/05/2025


236.722u 12.159s 0:46.19 538.7% 0+0k 0+41760io 0pf+0w

Script done on 2025-05-26 17:15:33+1000
