Lets try the question again.
I have created two models. The first model will produce results like the sample contains %6043 . But only sometimes. The rest of the time it is pretty close.
The second model quantifies another way but..
If the first model shows %6043 than the second model is actually measuring substance B, not substance A.
So, most of the time I will be measuring substance A. When it goes WAY out of whack, I know I found substance B, not A. The second model should be used for the quantity of B, Otherwise the model results should be used for substance A.
The substance has both A and B molecules in it, but it will either be predominately A or mostly B.
If the substance is B, it hides the amount of A (and I get out of wack numbers for A) but substance A does not hide substance B.
