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This problem can be solved numerically, by methods such as in the iterative math’s of a Spreadsheet ... or it can be addressed by the so-called inverse problem
The inverse problem is a baseline mathematical expedient, where the design matrix, the sensitivity, derivarive (Jacobiam) or just X matrix is used to express the “acction” of all the known variables of a given model.



Covariance matrix
The model is seen here in terms of its Heads ( h ) and ( k ) variables
Beta μ
The covariance matrix, displays all the possible interconnections within a unique set of data, the 1.1 to 3.3 locations where the model is taking place, actually.
So those intermingled relationships are expressed by the X matrix, oops, ... the Z matrix !
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