I have three variables measured at a sensor: Temperature (T), Humidity (H), and Methane Concentration (PPM). There are physical reasons why changes in T and H will influence PPM. I am interested in removing changes caused to PPM by changes in T and H. What I would like to see is an expected value of PPM with effects of delta T and H removed. Below is a plot over several days of measured values of T, H, and PPM. Additionally, this is one of many sensors. I need a way of generating a model for each individual sensor as this correlation is specific to component tolerances.
I'm looking for direction on where to start with this. What algorithm would you use? What's the simplest solution to try and get an expected PPM reading that minimizes the effects of delta T and H?