The first three principal components explain 97% of the variance in the original data. In the score plots of PC1 and PC2, some sample points are overlapped ( Figure 2 ), but in the score plots of PC2 and PC3, the sample points show a clear trend of clustering ( Figure 2 ).
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Classification of Rice Varieties Using SIMCA Applied to NIR Spectroscopic Data.
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