multivariate sparse partial least squares regression Search Results


90
GraphPad Software Inc multivariable linear regression least squares
Validation of regression models; ( a ) Actual vs. prediction MoCA, predicted with neural network regression model and ( b ) Actual vs. prediction MoCA, predicted with <t>multivariable</t> regression model and ( c ) Comparison of mean absolute errors with 95% CI confidence intervals; NNR = neural network regression and MLR = multivariable linear regression; ns = not significant.
Multivariable Linear Regression Least Squares, supplied by GraphPad Software 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/result/multivariable linear regression least squares/product/GraphPad Software Inc
Average 90 stars, based on 1 article reviews
multivariable linear regression least squares - by Bioz Stars, 2026-03
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SAS institute multivariate ordinary least squares (ols) regression models
Validation of regression models; ( a ) Actual vs. prediction MoCA, predicted with neural network regression model and ( b ) Actual vs. prediction MoCA, predicted with <t>multivariable</t> regression model and ( c ) Comparison of mean absolute errors with 95% CI confidence intervals; NNR = neural network regression and MLR = multivariable linear regression; ns = not significant.
Multivariate Ordinary Least Squares (Ols) Regression Models, supplied by SAS institute, 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
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SYSTAT nonlinear least-squares multivariate regression sigmaplot version 12.3
Validation of regression models; ( a ) Actual vs. prediction MoCA, predicted with neural network regression model and ( b ) Actual vs. prediction MoCA, predicted with <t>multivariable</t> regression model and ( c ) Comparison of mean absolute errors with 95% CI confidence intervals; NNR = neural network regression and MLR = multivariable linear regression; ns = not significant.
Nonlinear Least Squares Multivariate Regression Sigmaplot Version 12.3, supplied by SYSTAT, 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/result/nonlinear least-squares multivariate regression sigmaplot version 12.3/product/SYSTAT
Average 90 stars, based on 1 article reviews
nonlinear least-squares multivariate regression sigmaplot version 12.3 - by Bioz Stars, 2026-03
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CAMO Software multivariate curve regression alternating least squares (mcr-als) method
Validation of regression models; ( a ) Actual vs. prediction MoCA, predicted with neural network regression model and ( b ) Actual vs. prediction MoCA, predicted with <t>multivariable</t> regression model and ( c ) Comparison of mean absolute errors with 95% CI confidence intervals; NNR = neural network regression and MLR = multivariable linear regression; ns = not significant.
Multivariate Curve Regression Alternating Least Squares (Mcr Als) Method, 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/result/multivariate curve regression alternating least squares (mcr-als) method/product/CAMO Software
Average 90 stars, based on 1 article reviews
multivariate curve regression alternating least squares (mcr-als) method - by Bioz Stars, 2026-03
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Umetrics orthogonal partial least squares discriminant multivariate analysis simcap+ v12
Validation of regression models; ( a ) Actual vs. prediction MoCA, predicted with neural network regression model and ( b ) Actual vs. prediction MoCA, predicted with <t>multivariable</t> regression model and ( c ) Comparison of mean absolute errors with 95% CI confidence intervals; NNR = neural network regression and MLR = multivariable linear regression; ns = not significant.
Orthogonal Partial Least Squares Discriminant Multivariate Analysis Simcap+ V12, 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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SAS institute nonlinear least squares regression by the multivariate secant method and the nlin procedure of sas/stat software
Validation of regression models; ( a ) Actual vs. prediction MoCA, predicted with neural network regression model and ( b ) Actual vs. prediction MoCA, predicted with <t>multivariable</t> regression model and ( c ) Comparison of mean absolute errors with 95% CI confidence intervals; NNR = neural network regression and MLR = multivariable linear regression; ns = not significant.
Nonlinear Least Squares Regression By The Multivariate Secant Method And The Nlin Procedure Of Sas/Stat Software, supplied by SAS institute, 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/result/nonlinear least squares regression by the multivariate secant method and the nlin procedure of sas/stat software/product/SAS institute
Average 90 stars, based on 1 article reviews
nonlinear least squares regression by the multivariate secant method and the nlin procedure of sas/stat software - by Bioz Stars, 2026-03
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Baycrest Technology Pty Ltd multivariate partial least squares correlation analysis (plsc)
Validation of regression models; ( a ) Actual vs. prediction MoCA, predicted with neural network regression model and ( b ) Actual vs. prediction MoCA, predicted with <t>multivariable</t> regression model and ( c ) Comparison of mean absolute errors with 95% CI confidence intervals; NNR = neural network regression and MLR = multivariable linear regression; ns = not significant.
Multivariate Partial Least Squares Correlation Analysis (Plsc), supplied by Baycrest Technology Pty Ltd, 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/result/multivariate partial least squares correlation analysis (plsc)/product/Baycrest Technology Pty Ltd
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Umetrics partial least squares discriminant (pls-da) multivariate analysis simcap + v12
Validation of regression models; ( a ) Actual vs. prediction MoCA, predicted with neural network regression model and ( b ) Actual vs. prediction MoCA, predicted with <t>multivariable</t> regression model and ( c ) Comparison of mean absolute errors with 95% CI confidence intervals; NNR = neural network regression and MLR = multivariable linear regression; ns = not significant.
Partial Least Squares Discriminant (Pls Da) Multivariate Analysis Simcap + V12, 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
https://www.bioz.com/result/partial least squares discriminant (pls-da) multivariate analysis simcap + v12/product/Umetrics
Average 90 stars, based on 1 article reviews
partial least squares discriminant (pls-da) multivariate analysis simcap + v12 - by Bioz Stars, 2026-03
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Bruker Corporation partial least squares multivariate algorithm of opus, version 6.0 data acquisition and analysis software
Validation of regression models; ( a ) Actual vs. prediction MoCA, predicted with neural network regression model and ( b ) Actual vs. prediction MoCA, predicted with <t>multivariable</t> regression model and ( c ) Comparison of mean absolute errors with 95% CI confidence intervals; NNR = neural network regression and MLR = multivariable linear regression; ns = not significant.
Partial Least Squares Multivariate Algorithm Of Opus, Version 6.0 Data Acquisition And Analysis Software, supplied by Bruker Corporation, 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/result/partial least squares multivariate algorithm of opus, version 6.0 data acquisition and analysis software/product/Bruker Corporation
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Dongjun Technology Co Ltd multivariate sparse partial least squares regression
Validation of regression models; ( a ) Actual vs. prediction MoCA, predicted with neural network regression model and ( b ) Actual vs. prediction MoCA, predicted with <t>multivariable</t> regression model and ( c ) Comparison of mean absolute errors with 95% CI confidence intervals; NNR = neural network regression and MLR = multivariable linear regression; ns = not significant.
Multivariate Sparse Partial Least Squares Regression, supplied by Dongjun Technology Co Ltd, 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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Image Search Results


Validation of regression models; ( a ) Actual vs. prediction MoCA, predicted with neural network regression model and ( b ) Actual vs. prediction MoCA, predicted with multivariable regression model and ( c ) Comparison of mean absolute errors with 95% CI confidence intervals; NNR = neural network regression and MLR = multivariable linear regression; ns = not significant.

Journal: Sensors (Basel, Switzerland)

Article Title: Gait Characteristics and Cognitive Function in Middle-Aged Adults with and without Type 2 Diabetes Mellitus: Data from ENBIND

doi: 10.3390/s22155710

Figure Lengend Snippet: Validation of regression models; ( a ) Actual vs. prediction MoCA, predicted with neural network regression model and ( b ) Actual vs. prediction MoCA, predicted with multivariable regression model and ( c ) Comparison of mean absolute errors with 95% CI confidence intervals; NNR = neural network regression and MLR = multivariable linear regression; ns = not significant.

Article Snippet: The multivariable linear regression (Least Squares) was performed in GraphPad Prism 9.0.1.

Techniques: Biomarker Discovery, Comparison

Confidence intervals of parameter estimates from the  multivariable regression  model.

Journal: Sensors (Basel, Switzerland)

Article Title: Gait Characteristics and Cognitive Function in Middle-Aged Adults with and without Type 2 Diabetes Mellitus: Data from ENBIND

doi: 10.3390/s22155710

Figure Lengend Snippet: Confidence intervals of parameter estimates from the multivariable regression model.

Article Snippet: The multivariable linear regression (Least Squares) was performed in GraphPad Prism 9.0.1.

Techniques: