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A fault detection and diagnosis technique for multivariate processes using a PLS-decomposition of the measurement space
(Elsevier Science, 2013-10)
A newstatisticalmonitoring technique based on partial least squares (PLS) is proposed for fault detection and diagnosis inmultivariate processes that exhibit collinear measurements. A typical PLS regression (PLSR) modeling ...
Disturbance alters relationships between soil carbon pools and aboveground vegetation attributes in an anthropogenic peatland in Patagonia
(Wiley, 2022)
Anthropogenic-based disturbances may alter peatland soil-plant causal associations and their ability to sequester carbon. Likewise, it is unclear how the vegetation attributes are linked with different soil C decomposition-based ...
Application of two- and three-way chemometric methods in the study of acetylsalicylic acid and ascorbic acid mixtures using ultraviolet spectrophotometry
(Elsevier Science BvAmsterdamHolanda, 2000)
Relationships between PCA and PLS-regression
(Elsevier Science, 2014-01)
This work aims at comparing several features of Principal Component Analysis (PCA) and Partial Least Squares Regression (PLSR), as techniques typically utilized for modeling, output prediction, and monitoring of multivariate ...
lmdme: Linear Models on Designed Multivariate Experiments in R
(Journal Statistical Software, 2014-04)
Thelmdmepackage decomposes analysis of variance (ANOVA) through linear mod-els on designed multivariate experiments, allowing ANOVA-principal component analysis(APCA) and ANOVA-simultaneous component analysis (ASCA) inR. ...
Exploring the potential of combining chemometric approaches to model non-linear multi-way data with quantitative purposes: a case study
(Elsevier Science, 2021-01)
Second-order based calibration methods have been widely investigated capitalizing on the inherent benefits of the data structure and the decomposition models, demonstrating that second-order advantage is a property that ...
Relationships between PCA and PLS-regression
(Revista Chem And Intell Lab Syst, 2018)
Application of design of experiments, response surface methodology and partial least squares regression on nanocomposites synthesis
(ELSEVIER SCIENCE BV, 2014)
We present an integral chemometric treatment for characterization and synthesis of low-density poly(ethylene)/organically modified montmorillonite nanocomposites using direct melt processing method, complementing design ...