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Eigenvector Research Inc pls toolbox 8.7 software
Interval <t> partial least square regression </t> cross-validation and prediction results for clay, silt, sand, and SOC.
Pls Toolbox 8.7 Software, supplied by Eigenvector Research Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/pls+toolbox+8%2E7/pls+toolbox+8+7+software/pmc11280583-127-16-20
Average 90 stars, based on 1 article reviews
pls toolbox 8.7 software - by Bioz Stars, 2026-09
90/100 stars

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1) Product Images from "Combining Laser-Induced Breakdown Spectroscopy and Visible Near-Infrared Spectroscopy for Predicting Soil Organic Carbon and Texture: A Danish National-Scale Study"

Article Title: Combining Laser-Induced Breakdown Spectroscopy and Visible Near-Infrared Spectroscopy for Predicting Soil Organic Carbon and Texture: A Danish National-Scale Study

Journal: Sensors (Basel, Switzerland)

doi: 10.3390/s24144464

Interval  partial least square regression  cross-validation and prediction results for clay, silt, sand, and SOC.
Figure Legend Snippet: Interval partial least square regression cross-validation and prediction results for clay, silt, sand, and SOC.

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Article Title: Effects of Different Heating Treatments on the Antioxidant Activity and Phenolic Compounds of Ecuadorian Red Dacca Banana.
Article Snippet: The PCA model was calculated with the PLS Toolbox 8.7 (Eigenvector Research Inc., Wenatchee, WA, USA) working under a MATLAB environment.

Article Title: Assessing the performance of handheld LIBS for predicting soil organic carbon and texture in European soils
Article Snippet: The analysis of all multivariate data was carried out using MatLab R2021a (MathWorks, Inc., Natick, MA, USA) and PLS Toolbox 8.7 soware (Eigenvector Research Inc.).

Article Title: Metabolomic Diversity of Human Milk Cells over the Course of Lactation-A Preliminary Study.
Article Snippet: Nutrients 2023, 15, 1100 5 of 15 Further data processing and statistical analysis were carried out in MATLAB 2021a (Mathworks Inc., Natick, MA, USA) using in-house written scripts available from the authors and the PLS Toolbox 8.7 (Eigenvector Research Inc., Wenatchee, USA).

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Article Snippet: Further data processing and statistical analysis were carried out in MATLAB 2019b (Mathworks Inc., Natick, MA, USA) using in-house written scripts available from the authors, and the PLS Toolbox 8.7 (Eigenvector Research Inc., Wenatchee, USA).



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Interval  partial least square regression  cross-validation and prediction results for clay, silt, sand, and SOC.

Journal: Sensors (Basel, Switzerland)

Article Title: Combining Laser-Induced Breakdown Spectroscopy and Visible Near-Infrared Spectroscopy for Predicting Soil Organic Carbon and Texture: A Danish National-Scale Study

doi: 10.3390/s24144464

Figure Lengend Snippet: Interval partial least square regression cross-validation and prediction results for clay, silt, sand, and SOC.

Article Snippet: All multivariate data analyses were carried out in MatLab R2021a (MathWorks, Inc., Natick, MA, USA) and PLS Toolbox 8.7 software (Eigenvector Research Inc., Manson, WA, USA).

Techniques: