A new strategy to prevent over-fitting in partial least squares models based on model population analysis

Research article (Analytica Chimica Acta, 2015) · cited 84× · AI/ML
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A new strategy to prevent over-fitting in partial least squares models based on model population analysis

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A new strategy to prevent over-fitting in partial least squares models based on model population analysis is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A new strategy to prevent over-fitting in partial least squares models based on model population analysis. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-new-strategy-to-prevent-over-fitting-in-partial-least-squares-models-based-on-model-population-analysis
MLA “A new strategy to prevent over-fitting in partial least squares models based on model population analysis.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-new-strategy-to-prevent-over-fitting-in-partial-least-squares-models-based-on-model-population-analysis.
BibTeX @misc{4ortxyz_a-new-strategy-to-prevent-over-fitting-in-partial-least-squares-models-based-on-model-population-analysis_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A new strategy to prevent over-fitting in partial least squares models based on model population analysis}}, year = {2026}, url = {https://4ort.xyz/entity/a-new-strategy-to-prevent-over-fitting-in-partial-least-squares-models-based-on-model-population-analysis}, note = {Accessed: 2026-05-24}}
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