Hi Birgit, and All
Possibly you should not consider the case completed ;-)
There is an important alternative to imputing means, or estimates from
first or second order
regression (Frane, Psychometrica, BMDP): partial-least-squares (Wold),
which uses as much
information from the data as possible to estimate the principal
components, or the missing data.
Stephane Dray, also from Lyon, provides 'nipals' here:
http://biomserv.univ-lyon1.fr/~dray/software.php
There is also an interesting paper. - In case, you use PLS to estimate
and impute, set the
number of factors as high as reasonably possible, e.g. m-1, when m is
the number of variables.
best - Hartmut Oldenbürger
---
[EMAIL PROTECTED]
http://www.wipaed.wiso.uni-goettingen.de/~holdenb1
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