If I have 2 PLS models (developed with the same data set):

-The first model contains two latent variables: A1 and B.

-The 2nd model contains two latent variables: A2 and B (the same B of the model 1).

- Both models show that A1 and A2 have a positive and significant effect on B ( Path coefficient> 0.1 and t> 1, 645, One-tailed (Using Bootstrap).

I now want to show that

**the effect of A1 on B is greater than the effect of A2 on B**

-By comparing the 2 models we find that:

- [Path coefficient of A1 => B (model1)=0,573 ]

**>**[Path coefficient A2 => B (model2)= 0,398]

- [R² of B (model1)=0,328]

**>**[R² of B (model2)=0,158]

With this comparison (based on the path coefficient and R²) can we conclude that: "the effect of A1 on B is greater than the effect of A2 on B" ?

If no, how can I demonstrate it?