Hi All,
I've recently created a model that fits an equation to a process in the fab. This process depends on three variables: Y = ax1 + bx2 + cx3 + d
There are 11 different recipes, so in total 11 equations of 4 parameters, 44 factors then.
I saved the model as per "Save Columns" > "Prediction Formula" so I can compare the actual result with the expected result from the model.
This is a screenshot of the model:
I have then done an inverse prediction, hard coded into the table from the parameters in the model, to calculate the adequate x1 variable to get Y as per the spec.
The model and inverse prediction are accurate right now but I would like to be able to update them as we continue production. When I execute the script that fits the model, it is fitted again but of course, the results are hard coded into the table as you see in the image above.
Can you think of a way to get the parameters in the table (above) updated as I continue adding data to the table and say, manually updating the model like once a week for instance?
Thanks a lot for your help.
Felipe
