jpg files for inclusion in research reports.
It allows users to view scatter plots of each of the relationships among latent variables (when they are connected through arrows in the model), together with the curves that best approximate those relationships, and save those plots as. The latter connect pairs of latent variables, while the former connect latent variables and direct links between pairs of latent variables. It shows those moderating relationships, related path coefficients, and related P values in a model graph as they should be shown – that is, as links between latent variables and direct links. 
It automatically builds the indicators’ product structure underlying moderating relationships, and goes a little further. It estimates several model fit indices, which have been designed to be meaningful in the context of PLS-based SEM analyses. It estimates P values for path coefficients automatically, instead of providing only standard errors or T values, and leaving the user to figure out what the corresponding P values are. 
Additionally, WarpPLS offers the following features, which are largely absent from most, if not all, PLS-based SEM software packages available today:
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