The SIMCA panel shows the resulting Model Table. We’ve now implemented a soft independent modelling by class analogy ( SIMCA) Model Classification, which is a statistical method for supervised classification of data.Ī cross-validation is first run (the same settings as in the PCA analysis are available).
The functionality “Select peaks” has been improved with new options for a more effective outliers’ removal from the average K D.Besides 2D NMR, it now handles the analysis of 1D NMR titration experiments.Besides this, we have enhanced some of its capabilities: Mnova Binding is now directly accessible from the main ribbon of Mnova.
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