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Command used: wombat scan4pc.par
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wombat scan4pc.par
Script started on 2025-05-26 16:47:12+1000
 WOMBAT 26-05-2025 Maximum no. of threads to be used set to	      8

	   1 p8fat
	   2 ribfat
	   3 ema
	   4 pimf
 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
 Pedigree file					   = ../scan4ped.dat
 Total no. of animal IDs found			   =	     5166
 No. of "subjects" in data			   =	     2369
 No. of combinations of records 		   =		4
 No. of effect codes/ind. (maxnr)		   =	       14
 adjact ivcol	 15901965    15901965
 Start of "GENMMD": no. of rows 		   =	     8881
 End of "GENMMD": no of subscripts		   =	   198983
 adjact ivcol	 15901965    15901965
 End of "SMBFCT": maxsub			   =	   142972	  8882
		  maxlnz			   =	   496679
		  nnops 			   = 0.594399E+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			   =	     4097
		  Max. size			   =	      626
 *** AI iterate     0  log L =	-14940.3621	 D =   0.0000	    0.0000	Time	    3	     1
 *** AI iterate     1  log L =	-14900.6412	 D =   39.721	   0.84336E-01	Time	    5	     0
 *** AI iterate     2  log L =	-14898.2264	 D =   2.4149	   0.67572E-02	Time	    5	     0
 *** AI iterate     3  log L =	-14897.2396	 D =  0.98675	   0.17666E-01	Time	    5	     0
 *** AI iterate     4  log L =	-14896.7003	 D =  0.53937	   0.17149E-01	Time	    5	     0
 *** AI iterate     5  log L =	-14896.3887	 D =  0.31159	   0.14013E-01	Time	    5	     0
 *** AI iterate     6  log L =	-14896.2036	 D =  0.18511	   0.11006E-01	Time	    4	     0
 *** AI iterate     7  log L =	-14896.0917	 D =  0.11182	   0.85288E-02	Time	    5	     0
 *** AI iterate     8  log L =	-14896.0235	 D =  0.68235E-01  0.65851E-02	Time	    4	     0
 *** AI iterate     9  log L =	-14895.9816	 D =  0.41891E-01  0.50889E-02	Time	    4	     0
 *** AI iterate    10  log L =	-14895.9558	 D =  0.25816E-01  0.39434E-02	Time	    4	     0
 *** AI iterate    11  log L =	-14895.9398	 D =  0.15950E-01  0.30657E-02	Time	    4	     0
 *** AI iterate    12  log L =	-14895.9300	 D =  0.98727E-02  0.23908E-02	Time	    4	     0
 *** AI iterate    13  log L =	-14895.9239	 D =  0.61193E-02  0.18695E-02	Time	    4	     0
 *** AI iterate    14  log L =	-14895.9201	 D =  0.37968E-02  0.14651E-02	Time	    4	     0
 *** AI iterate    15  log L =	-14895.9177	 D =  0.23578E-02  0.11503E-02	Time	    5	     0
 *** AI iterate    16  log L =	-14895.9162	 D =  0.14652E-02  0.90435E-03	Time	    4	     0
 *** AI iterate    17  log L =	-14895.9153	 D =  0.91095E-03  0.71174E-03	Time	    4	     0
 *** AI iterate    18  log L =	-14895.9148	 D =  0.56662E-03  0.56060E-03	Time	    4	     0
 *** AI iterate    19  log L =	-14895.9144	 D =  0.35256E-03  0.44182E-03	Time	    5	     0
 *** AIREML seems to have converged: Change in log L <	0.500000E-03
     Last change in log L			   = 0.352563E-03
     Norm of gradient vector			   = 0.167933	  (should be close to 0)
     Newton decrement				   =-0.197070E-03 (should be close to 0)
   1  animal		      8640  zero soln.s       0
 SS residuals	5636.31       4605.70	    47223.4	  388198.
 Eigenvalues of AI matrix
    4047.11	   2766.83	  2643.74	 1991.15	754.790        476.798	      430.990	     401.660
    360.209	   147.164	  82.6353	 66.9101	57.8584        10.7541	      8.98284	     6.03488
    1.07241
 Total time used (secs): CPU =	       100  System =	      14
 Machine used = "didgeridoo"
 "WOMBAT" has finished !  26/05/2025


97.540u 2.912s 0:14.10 712.4%	0+0k 0+12480io 0pf+0w

Script done on 2025-05-26 16:47:26+1000
