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| ===Issue:===
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| Can you give me more information on the R-Squared statistic?
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| ===Possible Solutions:===
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| R-Squared (R<sup>2</sup>) is an assessment of how well the model does the prediction (it is similar to RMSEC except that it doesn't show if there is a bias).
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| You can access the R<sup>2</sup> by right-clicking on a scores plot of predicted vs. measured. It is one of the items which show up in the information box ("Show on figure" puts it on the figure).
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| Note: in other software, R<sup>2</sup> is for the MODELED data only. In PLS_Toolbox we calculate it for the DISPLAYED data. That means that if you show excluded data, or if you show predicted/test data with calibration data ("Show Cal with Test") the R<sup>2</sup> will be for what is shown and will be different from the calibration data. Turn off the "Show Cal with Test" checkbox on the Plot Controls window to view the R<sup>2</sup> for only the test data.
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| R<sup>2</sup> is calculated as the square of the correlation coefficient between the X and Y axes plotted in the figure. If the only data shown is the estimation of the calibration Y data vs. the actual calibration Y data, this is nearly the same as the standard R<sup>2</sup> for a model as defined by, e.g. Martens and Naes.
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| '''Still having problems? Please contact our helpdesk at [mailto:helpdesk@eigenvector.com helpdesk@eigenvector.com]'''
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| [[Category:FAQ]]
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Latest revision as of 11:44, 1 August 2019