pls regression analyses Search Results


pls regression analysis the unscrambler 9.7  (CAMO Software)
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pls regression analysis simca p 14 1 software  (Umetrics)
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Umetrics pls regression analysis simca p 14 1 software
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squares regression plsr statistical analysis  (Minitab Inc)
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Minitab Inc squares regression plsr statistical analysis
Squares Regression Plsr Statistical Analysis, supplied by Minitab Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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pls regression analyses  (Addinsoft inc)
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Addinsoft inc pls regression analyses
Results from <t> partial least squares <t> regression </t> (PLS) analyses </t> of catchment-scale characteristics as predictors of in-stream or macroinvertebrate variables. Numbers represent loadings (including direction of relationship) of predictor variables that obtained a VIP > 1.0 and cumulative amount of response variable variation explained by the first (C1) and second (C2) model component. SWD small woody debris, DOC dissolved organic carbon, SRP soluble reactive phosphorus, AFDM ash-free dry mass, PC principal component
Pls Regression Analyses, 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
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unscrambler 9.7  (CAMO Software)
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CAMO Software unscrambler 9.7
Results from <t> partial least squares <t> regression </t> (PLS) analyses </t> of catchment-scale characteristics as predictors of in-stream or macroinvertebrate variables. Numbers represent loadings (including direction of relationship) of predictor variables that obtained a VIP > 1.0 and cumulative amount of response variable variation explained by the first (C1) and second (C2) model component. SWD small woody debris, DOC dissolved organic carbon, SRP soluble reactive phosphorus, AFDM ash-free dry mass, PC principal component
Unscrambler 9.7, supplied by CAMO Software, 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+regression+analyses/unscrambler+x+10+3/pm34932212-86-8-10
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partial least squares (pls) regression analysis  (SmartPLS GmbH)
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SmartPLS GmbH partial least squares (pls) regression analysis
<t>Partial</t> <t>least</t> <t>squares</t> <t>(PLS)</t> results of the research model. * P < 0.05; ** P < 0.01; *** P < 0.001.
Partial Least Squares (Pls) Regression Analysis, supplied by SmartPLS GmbH, 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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originpro2016 software package  (OriginLab corp)
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OriginLab corp originpro2016 software package
<t>Partial</t> <t>least</t> <t>squares</t> <t>(PLS)</t> results of the research model. * P < 0.05; ** P < 0.01; *** P < 0.001.
Originpro2016 Software Package, supplied by OriginLab corp, 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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partial least squares regression (plsr) analysis  (Addinsoft inc)
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Addinsoft inc partial least squares regression (plsr) analysis
<t>Partial</t> <t>least</t> <t>squares</t> <t>(PLS)</t> results of the research model. * P < 0.05; ** P < 0.01; *** P < 0.001.
Partial Least Squares Regression (Plsr) Analysis, 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
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partial least squares (pls) regression analysis  (OriginLab corp)
90
OriginLab corp partial least squares (pls) regression analysis
<t>Partial</t> <t>least</t> <t>squares</t> <t>(PLS)</t> results of the research model. * P < 0.05; ** P < 0.01; *** P < 0.001.
Partial Least Squares (Pls) Regression Analysis, supplied by OriginLab corp, 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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pls-r  (Addinsoft inc)
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Addinsoft inc pls-r
<t>Partial</t> <t>least</t> <t>squares</t> <t>(PLS)</t> results of the research model. * P < 0.05; ** P < 0.01; *** P < 0.001.
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plsrglm package  (RStudio)
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RStudio plsrglm package
<t>Partial</t> <t>least</t> <t>squares</t> <t>(PLS)</t> results of the research model. * P < 0.05; ** P < 0.01; *** P < 0.001.
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pls regression analysis  (Federation of European Neuroscience Societies)
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Federation of European Neuroscience Societies pls regression analysis
<t>Partial</t> <t>least</t> <t>squares</t> <t>(PLS)</t> results of the research model. * P < 0.05; ** P < 0.01; *** P < 0.001.
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Image Search Results


Results from partial least squares regression (PLS) analyses of catchment-scale characteristics as predictors of in-stream or macroinvertebrate variables. Numbers represent loadings (including direction of relationship) of predictor variables that obtained a VIP > 1.0 and cumulative amount of response variable variation explained by the first (C1) and second (C2) model component. SWD small woody debris, DOC dissolved organic carbon, SRP soluble reactive phosphorus, AFDM ash-free dry mass, PC principal component

Journal: Ambio

Article Title: Land use influences macroinvertebrate community composition in boreal headwaters through altered stream conditions

doi: 10.1007/s13280-016-0837-y

Figure Lengend Snippet: Results from partial least squares regression (PLS) analyses of catchment-scale characteristics as predictors of in-stream or macroinvertebrate variables. Numbers represent loadings (including direction of relationship) of predictor variables that obtained a VIP > 1.0 and cumulative amount of response variable variation explained by the first (C1) and second (C2) model component. SWD small woody debris, DOC dissolved organic carbon, SRP soluble reactive phosphorus, AFDM ash-free dry mass, PC principal component

Article Snippet: PLS regression analyses were performed using XLSAT (XLSTAT 2015.2.01, Addinsoft SRAL, Germany), and CCA were performed using the vegan library (Oksanen et al. ) in R (R Core Team ).

Techniques:

Results from partial least squares regression (PLS) analyses of in-stream environmental conditions as predictors of macroinvertebrate variables. Numbers represent loadings (including direction of relationship) of predictor variables that obtained a VIP > 1.0 and cumulative amount of response variable variation explained by the first (C1) and second (C2) model component. SWD small woody debris, DOC dissolved organic carbon, SRP soluble reactive phosphorus, AFDM ash-free dry mass, PC principal component

Journal: Ambio

Article Title: Land use influences macroinvertebrate community composition in boreal headwaters through altered stream conditions

doi: 10.1007/s13280-016-0837-y

Figure Lengend Snippet: Results from partial least squares regression (PLS) analyses of in-stream environmental conditions as predictors of macroinvertebrate variables. Numbers represent loadings (including direction of relationship) of predictor variables that obtained a VIP > 1.0 and cumulative amount of response variable variation explained by the first (C1) and second (C2) model component. SWD small woody debris, DOC dissolved organic carbon, SRP soluble reactive phosphorus, AFDM ash-free dry mass, PC principal component

Article Snippet: PLS regression analyses were performed using XLSAT (XLSTAT 2015.2.01, Addinsoft SRAL, Germany), and CCA were performed using the vegan library (Oksanen et al. ) in R (R Core Team ).

Techniques:

Partial least squares (PLS) results of the research model. * P < 0.05; ** P < 0.01; *** P < 0.001.

Journal: Frontiers in Psychology

Article Title: Improving consumer stickiness in livestream e-commerce: A mixed-methods study

doi: 10.3389/fpsyg.2022.962786

Figure Lengend Snippet: Partial least squares (PLS) results of the research model. * P < 0.05; ** P < 0.01; *** P < 0.001.

Article Snippet: In this study, a partial least squares (PLS) regression analysis of the research data was conducted using SmartPLS, and considering the study model, a summary of the path coefficients was obtained as shown in .

Techniques: