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15 Examples 258power model shown in the previous output. The antedependence model modelsΣ by the inverse cholesky decompositionΣ −1 = UDU ′where D is a diagonal matrix and U is a unit upper triangular matrix. Foran antedependence model of order q, then u ij = 0 for j > i + q − 1. Theantedependence model of order 1 has 9 parameters for these data, 5 in D and 4in U. The input is given byy1 y3 y5 y7 y10 ~ Trait tmt Tr.tmt1 2 014 !S2==1Tr 0 ANTE60.1654.65 73.6591.50 123.3 306.489.17 120.2 298.6 431.862.21 83.85 208.3 301.2 379.8The abbreviated output file is1 LogL=-171.501 S2= 1.0000 60 df2 LogL=-170.097 S2= 1.0000 60 df3 LogL=-166.085 S2= 1.0000 60 df4 LogL=-161.335 S2= 1.0000 60 df5 LogL=-160.407 S2= 1.0000 60 df6 LogL=-160.370 S2= 1.0000 60 df7 LogL=-160.369 S2= 1.0000 60 dfSource Model terms Gamma Component Comp/SE % CResidual ANTE=UDU 1 0.268657E-01 0.268657E-01 2.44 0 UResidual ANTE=UDU 1 -0.628413 -0.628413 -2.55 0 UResidual ANTE=UDU 2 0.372801E-01 0.372801E-01 2.41 0 UResidual ANTE=UDU 2 -1.49108 -1.49108 -2.54 0 UResidual ANTE=UDU 3 0.599632E-02 0.599632E-02 2.43 0 UResidual ANTE=UDU 3 -1.28041 -1.28041 -6.19 0 UResidual ANTE=UDU 4 0.789713E-02 0.789713E-02 2.44 0 UResidual ANTE=UDU 4 -0.967815 -0.967815 -15.40 0 UResidual ANTE=UDU 5 0.390635E-01 0.390635E-01 2.45 0 UCovariance/Variance/Correlation Matrix ANTE=UDU’37.20 0.5946 0.3549 0.3114 0.304023.38 41.55 0.5968 0.5237 0.511234.83 61.89 258.9 0.8775 0.856544.58 79.22 331.4 550.8 0.976143.14 76.67 320.7 533.0 541.4Analysis of Variance DF F_inc8 Trait 5 188.84