-The result is a system of linear equations where the $H_{\rm adj}$ values are the unknowns. This results in a matrix whose row count is the total number of reactions over all materials, and whose column count is the total number of materials that are either a reactant or a residue. The number of rows and columns may not be equal to one another. If they are equal, provided the matrix is not singular, then a standard matrix solution can be done. If there are more equations than materials, then the system is overdetermined, and there may not be a solution that conserves energy. In this case, a least-squares solution of the system is performed to find the best possible values for the $H_{\rm adj}$ values. A warning message will be written in this case. If there are more materials than reactios, then the system is underdetertmined, and there will be an infinite number of solutions. In this case, the matrix is solved to yield a minimal solution for $H_{\rm adj}$ values. That is it attempts to find values for $H_{\rm adj}$ where the vector of values has the smallest magnitude.
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