The network structural equation modeling conducts a network statistical analysis
on a data frame of coincident observations of multiple continuous variables .
It builds a pathway model by exploring a pool of domain knowledge guided candidate statistical
relationships between each of the variable pairs, selecting the 'best fit' on
the basis of a specific criteria such as adjusted r-squared value.
This work was funded under U. S. Dept. of Energy, Prime Award No. DE-E-0004946,
Award Agreement No. 60220829-51077-T.
 Bruckman, Laura S., Nicholas R. Wheeler, Junheng Ma, Ethan Wang, Carl K. Wang, Ivan Chou,
Jiayang Sun, and Roger H. French. (2013)