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8 Command file: Multivariate analysis 143SheepID Site Bloodline Team Year GFW Yield FD0101 3 21 1 1 5.6 74.3 18.50101 3 21 1 2 6.0 71.2 19.60101 3 21 1 3 8.0 75.7 21.50102 3 21 1 1 5.3 70.9 20.80102 3 21 1 2 5.7 66.1 20.90102 3 21 1 3 6.8 70.3 22.10103 3 21 1 1 5.0 80.7 18.90103 3 21 1 2 5.5 75.5 19.90103 3 21 1 3 7.0 76.6 21.9.4013 3 43 35 1 7.9 75.9 22.64013 3 43 35 2 7.8 70.3 23.94013 3 43 35 3 9.0 76.2 25.44014 3 43 35 1 8.3 66.5 22.24014 3 43 35 2 7.8 63.9 23.34014 3 43 35 3 9.9 69.8 25.54015 3 43 35 1 6.9 75.1 20.04015 3 43 35 2 7.6 71.2 20.34015 3 43 35 3 8.5 78.1 21.78.2 Model specificationThe syntax for specifying a multivariate linear model in ASReml isY-variates ∼ fixed [!r random ] [!f sparse fixed ]• Y-variates is a list of traits,• fixed, random and sparse fixed are as in the univariate case (see Chapter 6) butinvolve the special term Trait and interactions with Trait.The design matrix for Trait has a level (column) for each trait.– Trait by itself fits the mean for each variate,– In an interaction Trait.Fac fits the factor Fac for each variate andTrait.Cov fits the covariate Cov for each variate.ASReml internally rearranges the data so that n data records containing t traitseach becomes n sets of t analysis records indexed by the internal factor Trait i.e.nt analysis records ordered Trait within data record. If the data is already inthis long form, use the !ASMV t qualifier to indicate that a multivariate analysisis required.