One of K-DAT’s most informative features is its emphasis on residual plots . After fitting a model, the software plots the difference between the experimental data and the fitted curve. Random, low-magnitude residuals suggest a good fit. Systematic, wave-like residuals indicate the chosen model is incorrect—a diagnostic capability often missing in basic software.
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The second major interpretation, and one that represents an actively developed tool, is —the KISTERS Data Acquisition Tool. One of K-DAT’s most informative features is its