---------------------
RELEASE 2.0.2
---------------------

* We fixed a bug which caused R to crash when 'silent=FALSE' and the
final model selected by the DSA is the intercept model.

* We modified the message level used when 'silent=FALSE'. It used to 
be 2 and is now 0. Note that the message level is -1 when 'silent' is 
referenced and set to 'TRUE'.

* We provided further details on how to use the argument 'silent' with
the DSA routine (see 'help(DSA)').

* We fixed a bug which prevented 'N NON-NA' to be printed after a call
to 'summary'.

---------------------
RELEASE 2.0.1
---------------------

We fixed a bug which caused R to crash when the user called the DSA 
with the explicit argument "weights=NULL".

---------------------
RELEASE 2.0.0
---------------------

* The signature for the DSA routine is now in line with common R
routines like 'glm' and 'gee' which should make calls to the DSA
easier for new users.

* The learning data set is now provided in one chunck with the data
frame 'data', i.e. there are no more 'Ylearn', 'Xlearn' arguments.

* Factors (categorical variables) can now be handled by the DSA
routine, i.e. dummy variables are created automatically. An important
caveat is that factors are only partially supported in terms forced in
the final model. We hope to fully support factors in future releases
of the DSA package.

* The object returned by the DSA is now a class: the method 'print',
'summary', 'predict', 'plot' can be applied to it.

* The average cross-validated risk for the final model selected by the
DSA is now returned along with the average cross-validated risk
associated with its size and interaction order.

* The welcome message following 'library(DSA)' or 'require(DSA)' is
now more informative to better track and solve bugs. Please, report
any bugs with the information contained in the welcome message.

* The messaging level can be changed by the R user with
'setDSAMessageLevel'. This capability should be most useful to
developpers only. Regular users may only want to change the messaging
level from the default value -1 to 0 to get more information about the
computation progress for long jobs launched in BATCH mode. We do not
recommend higher messaging levels values for non-developpers.

* An email list has been created to keep interested users updated
about the development of this package. Please email
'bullard@stat.berkeley.edu' or 'romain@stat.berkeley.edu' if you wish
to be added to or removed from the list.