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Command used: wombat --pxai bw+ww+yw+fw.par
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wombat --pxai bw+ww+yw+fw.par
Script started on 2025-05-26 16:57:35+1000
 WOMBAT 26-05-2025 Maximum no. of threads to be used set to	      8

	   1 bwgt
	   2 wwgt
	   3 ywgt
	   4 fwgt
 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					   = ../wgtpeds.dat
 Total no. of animal IDs found			   =	     3786
 No. of "subjects" in data			   =	     3425
 No. of combinations of records 		   =		7
 No. of effect codes/ind. (maxnr)		   =	       24
 adjact ivcol	 40427955    40427955
 Start of "METIS": no. of rows			   =	    25175
 Options to be used				   =	       14	   200		  3	       2
 End of "METIS"
 adjact ivcol	 40427955    40427955
 End of "SMBFCT": maxsub			   =	   523379	 25176
		  maxlnz			   =	  6125617
		  nnops 			   = 0.479320E+10 0.100000E+16
 Starting value for variance component less than 2% of raw variance
    trait no.			2  wwgt
    random effect no.		2  gmdam
    "raw" variance	2312.29632948047
    starting value	40.0000000000000
 Proceed with caution if you really mean this
 Starting value for variance component less than 2% of raw variance
    trait no.			2  wwgt
    random effect no.		3  pedam
    "raw" variance	2312.29632948047
    starting value	40.0000000000000
 Proceed with caution if you really mean this
 "Super-nodes" :  No. of nodes			   =	     8073
		  Max. size			   =	     1893
 *** PX round	    0  log L =	-23456.0845	 D =   0.0000	    0.0000	Time	   16	     8
 *** PX round	    1  log L =	-22930.7227	 D =   525.36	   0.32609	Time	   28	    16
 *** PX round	    2  log L =	-22689.1300	 D =   241.59	   0.16041	Time	   28	    16
 *** PX round	    3  log L =	-22604.4905	 D =   84.640	   0.10318	Time	   28	    16
 *** AI iterate     4  log L =	-22572.0732	 D =   32.417	   0.13034	Time	   44	     5
 *** AI iterate     5  log L =	-22536.6657	 D =   35.407	   0.26184	Time	   29	     3
AI matrix: Found pivot less than "zero" ... 0.159026E-08   40 of   40
 *** AI iterate     6  log L =	-22529.3280	 D =   7.3377	   0.65793E-01	Time	   36	     4
 *** AI iterate     7  log L =	-22525.6757	 D =   3.6523	   0.52682E-01	Time	   29	     3
 *** AI iterate     8  log L =	-22519.4982	 D =   6.1776	   0.24452E-01	Time	   29	     3
 *** AI iterate     9  log L =	-22519.0169	 D =  0.48129	   0.10259E-01	Time	   29	     3
 *** AI iterate    10  log L =	-22519.0093	 D =  0.75721E-02  0.56588E-02	Time	   29	     3
 *** AI iterate    11  log L =	-22519.0086	 D =  0.72810E-03  0.40794E-02	Time	   29	     3
 *** AI iterate    12  log L =	-22519.0084	 D =  0.17962E-03  0.33369E-02	Time	   29	     3
 *** AIREML seems to have converged: Change in log L <	0.500000E-03
     Last change in log L			   = 0.179622E-03
     Norm of gradient vector			   = 0.341144	  (should be close to 0)
     ... "Cholesky" scale			   = 0.232827	  (should be close to 0)
     Newton decrement				   =-0.149524E-03 (should be close to 0)
   1  animal		     14740  zero soln.s       0
   2  gmdam		      4852  zero soln.s       4
   3  pedam		      4140  zero soln.s       0
 SS residuals	7722.57       559917.	    248360.	  311449.
 Eigenvalues of AI matrix
    2370.00	   1747.59	  1665.07	 1537.43	531.735        312.439	      178.351	     102.495
    77.1619	   74.4006	  59.8048	 54.4175	30.8888        15.3052	      11.2753	     10.1804
    8.85107	   7.07615	  6.39740	 4.01834	2.77474        2.50220	      2.41336	     1.63142
    1.33828	   1.10262	 0.760428	0.467230       0.422766       0.364415	     0.270913	    0.267811
   0.929443E-01   0.545139E-01	 0.350127E-01	0.147480E-01   0.224078E-05   0.597594E-06   0.295304E-06   0.166099E-06
 Total time used (secs): CPU =	       393  System =	      95
 Machine used = "didgeridoo"
 "WOMBAT" has finished !  26/05/2025


380.853u 12.891s 1:35.27 413.2% 0+0k 0+25872io 0pf+0w

Script done on 2025-05-26 16:59:10+1000
