Mutivariate regression using Regression Learner App

Hi all, I'm working on a system identification for an engine from simulated data. I've multiple input parameters such as rpm, both intake pressure and temperature, fuel quantity, valve timings, etc and retrieve multiple outputs as well. I'd like to use the Regression Learner App to train several models (linear, guassian, etc) at once but so far I can only implement in a multi-input single-output manner.

Is it possible to do a multivariate regression in this app and if so how do I go about it? Thank you.

Answer 1

[Rajiv Singh]

I would recommend looking at the System Identification Toolbox. It provides many functions for performing linear and nonlinear regression between a given set of inputs and outputs. The number of inputs and outputs can be arbitrarily large.

System Identification Toolbox Documentation (mathworks.com)