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The purpose of this article is to provide an overview of response surface methodology (RSM) which includes the modeling of a response function, the corresponding choice of design, and the determination of optimum conditions.In addition, the use of RSM in agricultural and food sciences is highlighted by citing several examples taken from a variety of applied journals.
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Stored only when both papers are in the corpus — 59 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.