# (De)selecting multivariate mode (!ASUV !ASMV)

## !ASUV

!ASUV
means
univariate analysis is required although the data is presented in a
multivariate form.
Specifically, it allows you to have an error
variance other than
IDENTITY
by
US.
If there are ` missing values` in
the data, include
mv
in the fixed part of the linear
model. The intrinsic factor
Trait
is defined and may be used
in the model.
This option is used for repeated measures analysis when the variance
structure required is not the standard multivariate unstructured matrix.
## !ASMV `t`

!ASMV `n `
indicates
multivariate analysis
is required although the data is presented in
a univariate form. 'Multivariate Analysis' is used in the narrow
sense where an unstructured error variance matrix is fitted across
traits, records are independent, and observations may be missing for
particular traits.
The data is presumed arranged in lots of ` n` records where
`n `
is the number of ` traits`. It may be necessary to expand the
data file to achieve this structure, inserting a missing value
NA
on the additional records. This option is sometimes relevant
for some forms of repeated measures analysis. There will need to be a factor in the
data to code for trait as the intrinsic
Trait
factor is undefined when the data is presented in a univariate manner.
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