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                         Announcing:
                       GAUSS 6.0
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Aptech Systems, Inc., is pleased to announce several new products and
enhancements/extensions for the GAUSS Mathematical & Statistical
System (GAUSS). For more detailed information, please visit
www.Aptech.com or contact your local dealer.

GAUSS 6.0 UPDATE
----------------
GAUSS 6.0 includes a number of new features and enhancements designed
to increase the speed, power and functionality of GAUSS.

* Many more functions will support multi-dimensional arrays

* Faster inverse and linear equations solver

* The commands 'selif' and 'delif' are now intrinsics, making them
up to 4 times faster

* Additional support for string arrays

* Faster multi-column sort

* New Run-Time Library procedures and structures:

- New versions of the unconstrained optimization and equation solution
procedures that use structures called 'QNewtonmt' and 'eqSolvemt'

- 'QNewtonmt' uses the new 'gradmt' and 'hessmt' procedures; an
analytical gradient procedure can be provided which computes a
subset of the derivatives and 'QNewtonmt' will compute the remaining
derivatives numerically.

- Also new are functions for computing moving averages and combinations,
'movingAve' a simple moving average, 'movingaveWgt' a weighted one,
and 'movingaveExpwgt', an exponentially weighted one; these functions
employ sparse matrices for very rapid calculations on large matrices

- New combination functions compute all combinations of a sequence of
integers taken k at a time; 'combinate' returns a matrix of these
integers, and 'combinated' stores them in a GAUSS data set

* New GUI features in the Windows version:

- Source View Window - This is a dockable dialog bar that gives the
GAUSS user instant access to all source files and symbols in all
active libraries. Capabilities include search, instant edit, and
symbol/file properties.

- Error Window - Allows the GAUSS user to click on compiler errors
and go right to the source where the problem occured, avoiding the
hassles of searching through pages of files to find them.

- Debugger - The debugger now allows you to open a file by right
clicking on it

Documentation: Printed manuals for GAUSS 6.0 will not be available
immediately; however, documentation in pdf form will be included on the
CDs. Orders that include hard copy manuals before those are ready will
be split; software will be invoiced and shipped right away and manuals
will be invoiced and shipped when they become available.

Pricing: Same as for GAUSS 5.0 for new purchases; updates from 5.0 to
6.0 will be the same as what they have been for updating from 4.0 to 5.0,
updates from previous versions will be the same as what they have been
for updating from versions 3.2 thru 3.6 to 5.0.

GAUSS DATA TOOL
---------------
GAUSS Data Tool is a stand-alone program for working with variables in
GAUSS data sets. Data Tool loads the columns of the data sets into a
workspace as vectors where they can be transformed or modified using
simple intuitive statements. Data sets can also be created by
simulation using a variety of models, e.g., probit, logit, GARCH,
linear. A new version of a data set can be generated where missing data
are replaced by single or multiple imputations from a maximum
likelihood estimation using the EM algorithm.

Variables can be copied from one data set to another. Data sets can be
merged on the basis of a keylist; i.e., one or more columns that
uniquely define the observations. They can be concatenated, sorted, or
added to. Variables can be dropped or kept, or modified in complex ways
using any of the GAUSS operators or functions, including its powerful
matrix operations.

Data Tool is customizable by adding your own functions for modifying
data. Hooks are described in the manual for adding your own procedures
for simulating data or handling missing data. For the Windows version,
a graphical user interface provides much of this capability in menus,
toolbars, and dialogues, as well as a command line interface that turns
data handling into a set of simple direct statements that make short
work of complex data problems.

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