The function mlr.m generates an MLR model fit and does 'leave one out' cross-validation of the mo...
|19 Jun 2009||MATLAB Central Team||
The function mlr.m generates an MLR model fit and does 'leave one out' cross-validation of the model. Measures of R-squared, Adjusted R-squared, root-mean-square error of calibration (RMSEC), and root-mean-square error of cross-validation (RMSECV) are printed to the screen. The function also generates a table with the true and fitted values are along with the relative percent error (RPE) and upper and lower limits of an approximate 95% confidence interval on future observed values assuming normality.
|statistics||MATLAB Central Team||19 Jun 2009 at 10:19am|