schema_version: 1
id: msc_pls
name: MSC · PLS
summary: Classic scatter-corrected PLS — Multiplicative Scatter Correction with a 10-component PLS regressor.
description: |
  The textbook NIRS regression pipeline. Multiplicative Scatter Correction normalises
  each spectrum against the mean spectrum to remove particle-size / path-length scatter,
  features and target are standardised, and a 10-component PLS regressor is cross-validated
  with 5-fold KFold. A strong, interpretable reference point for any regression task.
framework: nirs4all
kind: recipe
task: regression
tags: [pls, msc, scatter_correction, baseline]
version: "1.0.0"
license: CeCILL-2.1 OR AGPL-3.0-or-later
created_at: "2026-06-17"
authors:
  - name: Gregory Beurier
    email: gregory.beurier@cirad.fr
    affiliation: CIRAD
recipe:
  format: nirs4all/pipeline-config
  path: pipeline.json
reference:
  source: nirs4all-datasets
  name: regression_demo
evaluation:
  metric: rmse
  task: regression
  expected:
    val: { value: 0.135, tol: 0.03 }
    test: { value: 0.160, tol: 0.04 }
  nirs4all_version: ">=0.10,<0.11"
  status: unvalidated
provenance:
  generated_by: nirs4all 0.10.2
governance:
  status: draft
  visibility: public
  trust: official