As described in references , multicomponent exponential time series can be efficiently analyzed using any of a number of linear algebraic methods. Though several names are used for this class of methods, in this report the term Autoregressive Modeling (ARM) is preferred. Methods in this class rely on model-independent matrix factorizations or polynomial root-finding exercises to extract parameters. The results do have physical meaning if interpreted as exponential models, but they can be applied to non-exponential data. Autoregressive methods used in NMR include various implementations of Linear Prediction , the Filter Diagonal Method , and the Matrix Pencil Method. The Matrix Pencil method is favored in this report.