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Command used: wombat wombat.par
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wombat wombat.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

 No. of "subjects" in data			   =	     3088
 No. of combinations of records 		   =		1
 No. of effect codes/ind. (maxnr)		   =		0
 Dimension of phenotypic covariance matrix set to number of traits
 adjact ivcol	     2376	 2376
 Start of "GENMMD": no. of rows 		   =		4
 End of "GENMMD": no of subscripts		   =		3
 adjact ivcol	     2376	 2376
 End of "SMBFCT": maxsub			   =		4	     5
		  maxlnz			   =	       10
		  nnops 			   =  30.0000	  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			   =		1
		  Max. size			   =		5
 *** AI iterate     0  log L =	-16191.5906	 D =   0.0000	    0.0000	Time	    0	     0
 *** AI iterate     1  log L =	-14047.5553	 D =   2144.0	   0.27693	Time	    0	     0
 *** AI iterate     2  log L =	-13469.9405	 D =   577.61	   0.21642	Time	    0	     0
 *** AI iterate     3  log L =	-13387.1434	 D =   82.797	   0.11932	Time	    0	     0
 *** AI iterate     4  log L =	-13384.1305	 D =   3.0129	   0.29149E-01	Time	    0	     0
 *** AI iterate     5  log L =	-13384.1246	 D =  0.58886E-02  0.13774E-02	Time	    0	     0
 *** AI iterate     6  log L =	-13384.1246	 D =  0.36143E-07  0.28562E-05	Time	    0	     0
 *** AIREML seems to have converged: Change in log L <	0.500000E-03
     Last change in log L			   = 0.361433E-07
     Norm of gradient vector			   = 0.381142E-03 (should be close to 0)
     ... "Cholesky" scale			   = 0.412294E-05 (should be close to 0)
     Newton decrement				   =-0.251590E-07 (should be close to 0)
 SS residuals  0.658893E+07
 Eigenvalues of AI matrix
    2.88698
 Total time used (secs): CPU =		 0  System =	       0
 Machine used = "didgeridoo"
 "WOMBAT" has finished !  26/05/2025


0.265u 0.044s 0:00.30 100.0%	0+0k 0+1168io 0pf+0w

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