FAQ  Frequently Asked Questions
Issue:

Can you give me more information on the RSquared statistic?
Possible Solutions:

RSquared (R^{2}) 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).
You can access the R^{2} by rightclicking 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).
Note: in other software, R^{2} 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^{2} 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^{2} for only the test data.
R^{2} 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^{2} for a model as defined by, e.g. Martens and Naes. See our FAQ regarding R2Y and Q2Y reported in some software for more details.
Still having problems? Check our documentation Wiki or try writing our helpdesk at helpdesk@eigenvector.com