Raw data plotting features |
Free version |
Full version |
Coloring according to groups, classes, sets, continuous variables etc. |
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Scatter matrix with histogram on the diagonal |
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Principal component analysis (PCA) |
Free version |
Full version |
Access to Scores, Loadings, Scores and Loadings and Bi-plots |
✔ |
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Coloring of plots according to groups, classes, sets, continuous variables, model results (e.g. residuals) etc. |
✔ |
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Access to all feature plots |
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Prediction of new data |
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PARTIAL LEAST SQUARES (PLS) |
Free version |
Full version |
Model estimation |
✖ |
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All relevant plots |
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Prediction of new data |
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Transformations |
Free version |
Full version |
Mean centering |
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Pareto scaling |
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Autoscaling |
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Standard Normal Variate (SNV) |
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Multiplicative Scatter/Signal Correction (MSC) |
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Derivatives (Savitzky-Golay) |
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Finite differences |
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Transmittance <-> Absorption |
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Normalise using 2-norm |
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Normalise using Infinity-norm |
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Extended Inverse Signal Correction (EISC) |
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Validation |
Free version |
Full version |
Full featured cross validation (cross validation according to selected variable or defined object sets, and many other
schemes)
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Test set validation |
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Data import/export |
Free version |
Full version |
Paste data directly from clipboard |
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Import from Excel |
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Read data from Matlab |
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Read CSV ASCII Files |
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Additional features |
Free version |
Full version |
Overview: All models stored in the same file |
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Overview: All predictions stored in the same file/td>
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Copy plots directly to PowerPoint or Clipboard |
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Variable selection – Principal variables |
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Cross & square terms (non-linear models) |
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