CODEWITHSUNDEEP
pythonregression
bitterjam
bitterjam

Reputation: 135

Multiple Y and Multiple X regression

I am trying to solve a problem. A production plant has an extensive data set on 20 inputs (independent variable, feedstock and process conditions) and 6 outputs (dependent variables, production yield). We are trying to find out the relationship between the 20 inputs and 6 outputs, and also apply some constraints to the model (e.g. the sum of outputs must not exceed 100%).

I am still a learner of Python. May I ask what type of problem is this and how can it be analysed using Python? I've been searching for answers online, seems like it might be a kind of "multivariate regression", but I am not sure.

Thank you in advance for your advice!

Upvotes: 1

Views: 1470

Answers (1)

Srinjoy_Chatterjee37
Srinjoy_Chatterjee37

Reputation: 13

This is a "Multivariate Multiple Regression" problem. Such a problem aims at modelling multiple outputs/dependent variables with the same set of inputs/features/independent variables. It is basically creating several regressors to model each output with the set of inputs and then combining them into one single model.

I would like to link an article for further information: https://data.library.virginia.edu/getting-started-with-multivariate-multiple-regression/#:~:text=Multivariate%20Multiple%20Regression%20is%20the,single%20set%20of%20predictor%20variables.&text=And%20in%20fact%20that's%20pretty,variable%20separately%20on%20the%20predictors.

Upvotes: 1

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