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Hierarchical Cluster-based Partial Least Squares Regression (HC-PLSR) is an efficient tool for metamodelling of nonlinear dynamic models.

, , , , , , and . BMC Systems Biology, (2011)

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Regression of a data matrix on descriptors of both its rows and of its columns via latent variables: L-PLSR., , , , , , , and . Computational Statistics & Data Analysis, 48 (1): 103-123 (2005)Mining for Genotype-Phenotype Relations in Saccharomyces using Partial Least Squares., , , , and . BMC Bioinformatics, (2011)Multi-way metamodelling facilitates insight into the complex input-output maps of nonlinear dynamic models., , , , and . BMC Systems Biology, (2012)The genotype-phenotype relationship in multicellular pattern-generating models - the neglected role of pattern descriptors., , , , , and . BMC Systems Biology, (2009)Estimating muscle activation patterns using a surrogate model of facial biomechanics., , , and . EMBC, page 7172-7175. IEEE, (2013)Combined Procrustes analysis and PLSR for internal and external mapping of data from multiple sources., , and . Computational Statistics & Data Analysis, 48 (1): 47-62 (2005)A Partial Least Squares based algorithm for parsimonious variable selection., , , , and . Algorithms for Molecular Biology, (2011)Hierarchical Cluster-based Partial Least Squares Regression (HC-PLSR) is an efficient tool for metamodelling of nonlinear dynamic models., , , , , , and . BMC Systems Biology, (2011)A computational pipeline for quantification of mouse myocardial stiffness parameters., , , , , , , , , and 7 other author(s). Comp. in Bio. and Med., (2014)Improvement of a Robotic Manipulator Model Based on Multivariate Residual Modeling., , , and . Front. Robotics and AI, (2017)