# Chemometrics and Intelligent Laboratory Systems

**Type:** Journals  
**Canonical URL:** https://scholariq.org/journals/chemometrics-and-intelligent-laboratory-systems/

## Facts

| Field | Value |
| --- | --- |
| Open Access | false |
| ISSN-L | 0169-7439 |
| ISSNs | 0169-7439,1873-3239 |
| OpenAlex ID | https://openalex.org/S69755223 |
| Publisher | Elsevier BV |

## Journal papers

- [A review of variable selection methods in Partial Least Squares Regression](https://scholariq.org/papers/a-review-of-variable-selection-methods-in-partial-least-squares-regression/)
- [Understanding and controlling rotations in factor analytic models](https://scholariq.org/papers/understanding-and-controlling-rotations-in-factor-analytic-models/)
- [Fault detection in the Tennessee Eastman benchmark process using dynamic principal components analysis based on decorrelated residuals (DPCA-DR)](https://scholariq.org/papers/fault-detection-in-the-tennessee-eastman-benchmark-process-using-dynamic/)
- [Robust estimation of mean and variance using environmental data sets with below detection limit observations](https://scholariq.org/papers/robust-estimation-of-mean-and-variance-using-environmental-data-sets-with-below/)
- [Defining the structure of DPCA models and its impact on process monitoring and prediction activities](https://scholariq.org/papers/defining-the-structure-of-dpca-models-and-its-impact-on-process-monitoring-and/)
- [A two-stage gene selection method for biomarker discovery from microarray data for cancer classification](https://scholariq.org/papers/a-two-stage-gene-selection-method-for-biomarker-discovery-from-microarray-data/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.