Let us now analyze the following conditions for RGA:

•  When , the system is completely decoupled. Pairing of is ideal.

•  When , the system is completely decoupled in the reverse manner. Pairing of is ideal.

•  When , strong interaction exists in the system and it does not matter which ever pairing is resorted to.

•  When , mild interaction exists in the system. However, pairing of is favourable in this case.

Quantitative analysis with RGA can be extended to systems with more number of inputs and outputs in the similar manner, however, the situation might not be straightforward in all such cases. Needless to mention, RGA is very much sensitive to model uncertainty if it is produced through simulation. Reassessment of modeling equations is required if RGA analysis is too poor to be conclusive.