Computational Chemistry
Residual analysis is a statistical method used to evaluate the goodness of fit of a model by examining the residuals, which are the differences between observed values and predicted values. This technique helps in understanding how well a model describes the data, identifying patterns, and assessing the validity of assumptions made during modeling.
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