In this small example, a small selection of components is performed based on their UNIFAC decomposition and the availability of the standard enthalpy of formation data. The model is a linear model having the form:
With:
From the statistics, also the R2 could be considered as correct, it is clearly possible to see that the CH group is not significant and that the intercept has not the best significance but still, it should be taken into account. The full statistics for each regressed parameter provides detailed knowledge to help you draw the right conclusions.
The parity plot allows you to quickly get a feeling for the regression. For each point, the corresponding component is provided. You can zoom to have a better view of some parts of the plot when a large number of components are grouped together.
In less than 5 minutes after getting your hands on the regression results, you can draw conclusions and act on them based on facts. This saves you and your team time an helps you in building better models.
Also we have a long experience in developing models and using state of the art regression tools to do the job, the integretion of these tools within the Cheméo website requires more testing as the web application constraints are not the same as the traditional desktop software constraints. Cheméo is improved on a daily basis to answer your needs.
You can make a difference! If you want to be a priviledged early user of these tools, drop us an email contact@ceondo.com telling us your needs. We still have some room for you, but act quickly as the number of early access users is limited.
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