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15 Examples 298Covariance/Variance/Correlation Matrix CORRelation2.573 1.025 0.65683.024 3.382 0.78300.1526 0.2086 0.2098E-01Note the correlation between wwt and ywt is estimated at 1.025.The results from this analysis can be automatically used by ASReml for the nextpart, if the .rsv is copied prior to running the next part. That is, we add the!PATH 2 coding to the job, copy mt1.rsv to mt2.rsv so that when we run !PATH2 it starts from where !PATH 1 finished, and run the job usingasreml -cnrw64 mt 2The Loglikelihood from this run is −20000 − 1427.37.Finally, we use the !PATH 3 coding to obtain the final analysis, copy mt2.rsv tomt3.rsv and run the final stage starting from the stage 2 results. Note that weare using the automatic updating associated with !CONTINUE. A portion of thefinal output file isNotice: LogL values are reported relative to a base of -20000.00NOTICE: 76 singularities detected in design matrix.1 LogL=-1427.37 S2= 1.0000 35006 df : 2 components constrained2 LogL=-1424.58 S2= 1.0000 35006 df3 LogL=-1421.07 S2= 1.0000 35006 df : 1 components constrained4 LogL=-1420.11 S2= 1.0000 35006 df5 LogL=-1419.93 S2= 1.0000 35006 df6 LogL=-1419.92 S2= 1.0000 35006 df7 LogL=-1419.92 S2= 1.0000 35006 df8 LogL=-1419.92 S2= 1.0000 35006 df9 LogL=-1419.92 S2= 1.0000 35006 df10 LogL=-1419.92 S2= 1.0000 35006 df11 LogL=-1419.92 S2= 1.0000 35006 dfSource Model terms Gamma Component Comp/SE % Cat(Trait,1).age.grp 49 49 0.135360E-02 0.135360E-02 2.03 0 Pat(Trait,2).age.grp 49 49 0.101561E-02 0.101561E-02 1.24 0 Pat(Trait,4).age.grp 49 49 0.176505E-02 0.176505E-02 1.13 0 Pat(Trait,5).age.grp 49 49 0.209279E-03 0.209279E-03 1.68 0 Pat(Trait,1).sex.grp 49 49 0.919610 0.919610 2.89 0 Pat(Trait,2).sex.grp 49 49 15.3912 15.3912 3.50 0 Pat(Trait,3).sex.grp 49 49 0.279496 0.279496 3.71 0 Pat(Trait,5).sex.grp 49 49 1.44032 1.44032 1.80 0 PResidual UnStru 1 1 9.46220 9.46220 33.30 0 U: : : : :