I am trying to develop a predictive model for a response variable. I need to be able to relate incoming raw material characteristics and main effects of the process to a single CTQ. The goal is to have an idea of process output based on a few input
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I am trying to develop a predictive model for a response variable. I need to be able to relate incoming raw material characteristics and main effects of the process to a single CTQ. The goal is to have an idea of process output based on a few input characteristics, while also having an idea of the error involved in the model. I was wondering if anyone has any reference material or an idea on how I might go about this (RSM, regression analysis, ...)? Any help would be greatly appreciated!
Topics:
Big Data & Analytics
