NIPALSNonlinear Iterative Partial Least Squares
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The NIPALS algorithm starts with random initialization of the Y-space score vector u and repeats a sequence of iterations until convergence [ 26].
(1975), "PLS Path Models with Latent Variables: the Nipals Approach", in H.
(1975) Path Models with Latent Variables: The NIPALS Approach, in H.
Causal flows with latent variables: Partings of the ways in the light of NIPALS modeling.
Originally the NIPALS algorithm was used for building principal component models.
This is a method that calculates correlation between variables and responses in a data set, i.e., examines the data structure, using the NIPALS algorithm (9).
NIPALS = Nonlinear iterative partial least squares algorithm for eigenvector estimation.