Convert multivariate normal regression model to seemingly unrelated regression (SUR) model
DesignSUR = convert2sur(Design, Group)
 A matrix or a cell array that depends on the number of
data series

 Contains information about how data series are to be grouped, with separate parameters for each group. Specify groups either by series or by groups:

DesignSUR = convert2sur(Design, Group)
converts
a multivariate normal regression model into a seemingly unrelated
regression model with a specified grouping of the data series. DesignSUR
is
either a matrix or a cell array that depends on the value of NUMSERIES
:
If NUMSERIES = 1
, DesignSUR
= Design
, which is a NUMSAMPLES
byNUMPARAMS
matrix.
If NUMSERIES > 1
and NUMGROUPS
groups
are to be formed, Design
is a cell array with NUMSAMPLES
cells,
where each cell contains a NUMSERIES
by(NUMGROUPS
* NUMPARAMS)
matrix of known values.
The original collection of parameters that are common to all series are replicated to form collections of parameters for each group.