# Model functions

## out() function

out(`n`)
establishes a binary variable which is
1 if data relates to observation `i`, (trait 1), else is 0.
out(`n`,`t`)
establishes a binary variable which is
1 if data relates to observation `i`, (trait $t$), else is 0.
The intention is that this be used to test/remove single observations
for example to remove the influence of an outlier or influential point.
Possible outliers will be evident in the plot of residuals versus fitted
values (see the .res file) and the appropriate
record numbers for the out() term are reported
in the .res file.
Note that `i` relates to the data analysed
and will not be the same as the record number
obtained by counting data lines in the data file if
there were missing observations in the data and they have not
been estimated. (To drop records based on the record number in the data file,
use the !D transformation in association
with the !=V0
transformation.)
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