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Command used: wombat ww_rr.par
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wombat ww_rr.par
Script started on 2025-05-26 16:56:26+1000
 WOMBAT 26-05-2025 Maximum no. of threads to be used set to	      8

 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		   =	     3777
 ... no. of IDs "linked" to data		   =	     3426
 Pedigree file					   = ReducedPedFile.dat
 Total no. of animal IDs found			   =	     3426
 No. of "subjects" in data			   =	     3088
 No. of combinations of records 		   =		1
 No. of effect codes/ind. (maxnr)		   =		6
 adjact ivcol	  3735414     3735414
 Start of "GENMMD": no. of rows 		   =	     5822
 End of "GENMMD": no of subscripts		   =	   134324
 adjact ivcol	  3735414     3735414
 End of "SMBFCT": maxsub			   =	    96584	  5823
		  maxlnz			   =	   344209
		  nnops 			   = 0.606249E+08 0.100000E+16
 REML analysis has few parameters to be estimated
  --> switching to AI-REML w/out preliminary EM steps
 "Super-nodes" :  No. of nodes			   =	     4741
		  Max. size			   =	      674
 *** AI iterate     0  log L =	-10364.3549	 D =   0.0000	    0.0000	Time	    3	     1
 *** AI iterate     1  log L =	-10357.8838	 D =   6.4711	   0.55004	Time	    1	     0
 *** AI iterate     2  log L =	-10296.9615	 D =   60.922	   0.36478	Time	    2	     0
 *** AI iterate     3  log L =	-10290.3602	 D =   6.6014	   0.14793	Time	    1	     0
 *** AI iterate     4  log L =	-10289.1831	 D =   1.1771	   0.51224E-01	Time	    1	     0
 *** AI iterate     5  log L =	-10288.9879	 D =  0.19529	   0.23284E-01	Time	    1	     0
 *** AI iterate     6  log L =	-10288.9437	 D =  0.44167E-01  0.99488E-02	Time	    1	     0
 *** AI iterate     7  log L =	-10288.9334	 D =  0.10305E-01  0.53621E-02	Time	    1	     0
 *** AI iterate     8  log L =	-10288.9310	 D =  0.24278E-02  0.25548E-02	Time	    1	     0
 *** AI iterate     9  log L =	-10288.9304	 D =  0.56570E-03  0.12881E-02	Time	    1	     0
 *** AI iterate    10  log L =	-10288.9303	 D =  0.13121E-03  0.61597E-03	Time	    1	     0
 *** AIREML seems to have converged: Change in log L <	0.500000E-03
     Last change in log L			   = 0.131209E-03
     Norm of gradient vector			   = 0.134507E-01 (should be close to 0)
     Newton decrement				   =-0.887032E-04 (should be close to 0)
   1  animal		      3331  zero soln.s       0
   2  gmdam		      1134  zero soln.s       1
   3  pedam		       956  zero soln.s       2
 SS residuals	433500.
 Eigenvalues of AI matrix
    7.95177	   2.27791	  1.13569	0.366395       0.312654
 Total time used (secs): CPU =		21  System =	       3
 Machine used = "didgeridoo"
 "WOMBAT" has finished !  26/05/2025


20.180u 1.007s 0:03.28 645.7%	0+0k 0+7408io 0pf+0w

Script done on 2025-05-26 16:56:30+1000
