About multiple observations (multiple measurements) in History Matching

[RyuichiKANAI]

Current History Matching code can implement a single observation case.
In the case of the multiple observations, or multiple measurements, implementing single observation History Matching can provide plausible parameter space respectively and compare those results.
However, in the case of multiple measurements, using all the data can give different results compared to a single measurement case.

I attached the example pictures.
In this case, the model is just a linear line expressed as y = theta*x.
Using two measurements together should give a different estimated model with an estimated parameter, which is described in the third picture.
This result should be different from the result using a single measurement twice, which is described in the first and the second pictures.

Is there any specific plan to implement History matching using multiple measurements?