I have two sets of variables (say A, and B) measured from the same tissue. Both, A and B, are independent of each other. I would like to find the correlation between the two variables (possibly linear correlation). Should I run Canonical correlation analysis on it?

Few have suggested that I can also use Deming or Passing Bablok regression.

Important: I need to run an analysis that is symmetric i.e. the outcome remains same even when the axis on which are A and B are plotted are switched. There is no cause-and-effect relationship and both the variables introduce error to the model.