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5 Command file: Reading the data 71List of occasionally used job control qualifiersqualifieractionNew!SPLINE spl(v,n) p!STEP r!SUBSET t v pdefines a spline model term with an explicit set of knot points.The basic form of the spline model term, spl(v), is definedin Table 6.1 where v is the underlying variate. The basic formuses the unique data values as the knot points. The extendedform is spl(v,n) which uses n knot points. Use this !SPLINEqualifier to supply an explicit set of n knot points (p) for themodel term t. Using the extended form without using thisqualifier results in n equally spaced knot points being used.The !SPLINE qualifier may only be used on a line by itselfafter the datafile line and before the model line.When knot points are explicitly supplied they should be inincreasing order and adequately cover the range of the dataor ASReml will modify them before they are applied. If youchoose to spread them over several lines use a comma at theend of incomplete lines so that ASReml will to continue readingvalues from the next line of input. If the explicit points donot adequately cover the range, a message is printed and thevalues are rescaled unless !NOCHECK is also specified. Inadequatecoverage is when the explicit range does not cover themidpoint of the actual range. See !KNOTS, !PVAL and !SCALE.reduces the update step sizes of the variance parameters. Thedefault value is the reciprocal of the square root of !MAXIT. Itmay be set between 0.01 and 1.0. The step size is increasedtowards 1 each iteration. Starting at 0.1, the sequence wouldbe 0.1, 0.32, 0.56, 1. This option is useful when you do nothave good starting values, especially in multivariate analyses.forms a new factor (t) derived from an existing factor (v)by selecting a subset (p) of its levels. Missing values aretransmitted as missing and records whose level is zero aretransmitted as zero. The qualifier occupies its own line afterthe datafile line but before the linear model. e.g.!SUBSET EnvC Env 3 5 8 9 :15 21 33defines a reduced form of the factor Env just selecting theenvironments listed. It might then be used in the model inan interaction.The intention is to simplify the model specification in MET(Multi Environment Trials) analyses where say Column effectsare to be fitted to a subset of environments. It mayalso be used on the intrinsic factor Trait in a multivariateanalysis provided it correctly identifies the number of levels ofTrait either by including the last trait number, or appendingsufficient zeros. Thus, if the analysis involves 5 traits,!SUBSET Trewe Trait 1 3 4 0 0