NIPALS is a possible implementation of singular value decomposition (SVD); it enables to compute factors (latent variable) of principal component analysis (PCA) without a correlation matrix diagonalization. The computing time is reduced especially when we have dataset with many descriptors.

**Keywords**: NIPALS, principal component analysis, PCA, K-NN, nearest neighbor, bootstrap

**Components**: Supervised Learning, NIPALS, K-NN, Bootstrap

**Tutorial**: en_Tanagra_NIPALS.pdf

**Dataset**: Tanagra_Nipals.zip