The application allows to apply Principal Component Analysis to several datasets and play with
main PCA results, including scores, loadings, residuals and explained variance interactively.
The following datasets are currently available:
People dataset from
written by Kim Esbensen — 32 persons (16 males, 16 females) characterised by 12 parameters.
Wine dataset from
PCA tutorial by R. Bro
and A. Smilde — 44 wine samples characterised by 14 chemical parameters.
Octane dataset from
written by Kim Esbensen — NIR absorbance spectra (1100—1550 nm) of 39 gasoline samples
with different octane number.
Main controls and gestures
- Drag and drop — select area and zoom in
- Double click — reset zoom
- h — show/hide this help dialog