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Addinsoft inc partial least squares regressions (pls-r)
Partial Least Squares Regressions (Pls R), supplied by Addinsoft 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/partial+least+squares+regressions+(pls-r)/partial+least+squares+regression++plsr+/pmc10552856-366-30-42
Average 90 stars, based on 1 article reviews
partial least squares regressions (pls-r) - by Bioz Stars, 2026-09
90/100 stars

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Activity Assay:

Article Title: Acute Effects of Split Pea-Enriched White Pan Bread on Postprandial Glycemic and Satiety Responses in Healthy Volunteers—A Randomized Crossover Trial
Article Snippet: Partial least squares regression (PLS-R) was applied to explore the associations between the postprandial glycemic and insulinemic responses (Y variable) and the other measured parameters (X variables including the appetite-related sensations and sensory attributes) using mean values for all variables (XLSTAT, version 19.4; Addinsoft, Paris, France).

Article Title: CRISPR/Cas9-mediated lipoxygenase gene-editing in yellow pea leads to major changes in fatty acid and flavor profiles
Article Snippet: The relationship between LOX activity (Y variable) and the other measured parameters (X variables including the concentration of FAs, E-nose sensor response, and selected VOCs) was calculated using partial least squares regressions (PLS-R) using mean values for all variables (XLSTAT, version 19.4; Addinsoft, Paris, France).

Article Title: Effect of Revtech thermal processing on volatile organic compounds and chemical characteristics of split yellow pea (Pisum sativum L.) flour.
Article Snippet: 1 Department of Food and Human Nutritional Sciences, University of Manitoba, Winnipeg, Canada 2 The Canadian Centre for Agri-Food Research in Health and Medicine (CCARM), Winnipeg, Canada 3 Canadian International Grains Institute (Cigi), Winnipeg, Canada 4 Warburton Foods Ltd.Saint Francois Xavier, Brandon, Canada 5 Grain Research Laboratory, Canadian Grain Commission, Winnipeg, Canada 6 Morden Research and Development Centre, Agriculture and Agri-Food Canada, Morden, Canada

Concentration Assay:

Article Title: Acute Effects of Split Pea-Enriched White Pan Bread on Postprandial Glycemic and Satiety Responses in Healthy Volunteers—A Randomized Crossover Trial
Article Snippet: Partial least squares regression (PLS-R) was applied to explore the associations between the postprandial glycemic and insulinemic responses (Y variable) and the other measured parameters (X variables including the appetite-related sensations and sensory attributes) using mean values for all variables (XLSTAT, version 19.4; Addinsoft, Paris, France).

Article Title: CRISPR/Cas9-mediated lipoxygenase gene-editing in yellow pea leads to major changes in fatty acid and flavor profiles
Article Snippet: The relationship between LOX activity (Y variable) and the other measured parameters (X variables including the concentration of FAs, E-nose sensor response, and selected VOCs) was calculated using partial least squares regressions (PLS-R) using mean values for all variables (XLSTAT, version 19.4; Addinsoft, Paris, France).

Article Title: Effect of Revtech thermal processing on volatile organic compounds and chemical characteristics of split yellow pea (Pisum sativum L.) flour.
Article Snippet: 1 Department of Food and Human Nutritional Sciences, University of Manitoba, Winnipeg, Canada 2 The Canadian Centre for Agri-Food Research in Health and Medicine (CCARM), Winnipeg, Canada 3 Canadian International Grains Institute (Cigi), Winnipeg, Canada 4 Warburton Foods Ltd.Saint Francois Xavier, Brandon, Canada 5 Grain Research Laboratory, Canadian Grain Commission, Winnipeg, Canada 6 Morden Research and Development Centre, Agriculture and Agri-Food Canada, Morden, Canada



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Addinsoft inc partial least squares regressions (pls-r)
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Umetrics pls-r (partial least squares regression)
MVDA of the historical data set. ( A ) removal of outliers prior to analysis; ( B <t>)</t> <t>PLS-R</t> model fit using two Principal Components, here Comp 1 and 2. R2Y(cum) indicates the explained variance, while Q2(cum) explains the predictive quality using one resp. two principal components; ( C ) VIP plot of the most important variables in the analysis sorted by relevance; ( D ) Loading scatter plot of data relationship between predictors (X) and predicted (Y) variable discriminated by VIP size.
Pls R (Partial Least Squares Regression), supplied by Umetrics, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 90 stars, based on 1 article reviews
pls-r (partial least squares regression) - by Bioz Stars, 2026-09
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MVDA of the historical data set. ( A ) removal of outliers prior to analysis; ( B ) PLS-R model fit using two Principal Components, here Comp 1 and 2. R2Y(cum) indicates the explained variance, while Q2(cum) explains the predictive quality using one resp. two principal components; ( C ) VIP plot of the most important variables in the analysis sorted by relevance; ( D ) Loading scatter plot of data relationship between predictors (X) and predicted (Y) variable discriminated by VIP size.

Journal: Bioengineering

Article Title: Metabolic Control in Mammalian Fed-Batch Cell Cultures for Reduced Lactic Acid Accumulation and Improved Process Robustness

doi: 10.3390/bioengineering3010005

Figure Lengend Snippet: MVDA of the historical data set. ( A ) removal of outliers prior to analysis; ( B ) PLS-R model fit using two Principal Components, here Comp 1 and 2. R2Y(cum) indicates the explained variance, while Q2(cum) explains the predictive quality using one resp. two principal components; ( C ) VIP plot of the most important variables in the analysis sorted by relevance; ( D ) Loading scatter plot of data relationship between predictors (X) and predicted (Y) variable discriminated by VIP size.

Article Snippet: In order to gather process understanding of how and by which importance the process parameters relate to each other, we used PLS-R (partial least squares regression) in Simca 13.0.3 (Umetrics, Sweden) to analyze the historical dataset.

Techniques: