The relation between breeding management and 305-day milk production, determined via principal components regression and partial least squares

Livestock Production Science ◽

10.1016/s0301-6226(00)00156-1 ◽

2000 ◽

Vol 66 (1) ◽

pp. 71-83 ◽

Author(s):

C.W. Rougoor ◽

R. Sundaram ◽

J.A.M. van Arendonk

Keyword(s):

Least Squares ◽

Partial Least Squares ◽

Milk Production ◽

Principal Components ◽

Principal Components Regression ◽

Breeding Management

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Corrigendum: Continuum Regression: Cross-Validated Sequentially Constructed Prediction Embracing Ordinary Least Squares, Partial Least Squares and Principal Components Regression

Journal of the Royal Statistical Society Series B (Methodological) ◽

10.1111/j.2517-6161.1992.tb01463.x ◽

1992 ◽

Vol 54 (3) ◽

pp. 906-907

Author(s):

M. Stone ◽

R. J. Brooks

Keyword(s):

Least Squares ◽

Partial Least Squares ◽

Principal Components ◽

Ordinary Least Squares ◽

Principal Components Regression ◽

Continuum Regression

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Comparison of principal components regression and partial least squares regression through generic simulations of complex mixtures

Chemometrics and Intelligent Laboratory Systems ◽

10.1016/s0169-7439(02)00138-7 ◽

2003 ◽

Vol 65 (2) ◽

pp. 257-279 ◽

Author(s):

Peter D. Wentzell ◽

Lorenzo Vega Montoto

Keyword(s):

Least Squares ◽

Partial Least Squares ◽

Principal Components ◽

Partial Least Squares Regression ◽

Complex Mixtures ◽

Least Squares Regression ◽

Principal Components Regression

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Comparison between use of the Partial Least Squares Regression (PLSR) and Principal Components Regression (PCR) in the factors influencing cement expansion

JOURNAL OF EDUCATION AND SCIENCE ◽

10.33899/edusj.2012.59139 ◽

2012 ◽

Vol 25 (2) ◽

pp. 201-220

Author(s):

Elham Hussein

Keyword(s):

Least Squares ◽

Partial Least Squares ◽

Principal Components ◽

Partial Least Squares Regression ◽

Least Squares Regression ◽

Principal Components Regression ◽

Factors Influencing

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Comparison of Partial Least Squares Regression (PLSR) and Principal Components Regression (PCR) Methods for Protein and Hardness Predictions using the Near-Infrared (NIR) Hyperspectral Images of Bulk Samples of Canadian Wheat

Food and Bioprocess Technology ◽

10.1007/s11947-014-1381-z ◽

2014 ◽

Vol 8 (1) ◽

pp. 31-40 ◽

Author(s):

S. Mahesh ◽

D. S. Jayas ◽

J. Paliwal ◽

N. D. G. White

Keyword(s):

Least Squares ◽

Partial Least Squares ◽

Principal Components ◽

Partial Least Squares Regression ◽

Near Infrared ◽

Hyperspectral Images ◽

Least Squares Regression ◽

Principal Components Regression

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Continuum Regression: Cross-Validated Sequentially Constructed Prediction Embracing Ordinary Least Squares, Partial Least Squares and Principal Components Regression

Journal of the Royal Statistical Society Series B (Methodological) ◽

10.1111/j.2517-6161.1990.tb01786.x ◽

1990 ◽

Vol 52 (2) ◽

pp. 237-258 ◽

Author(s):

M. Stone ◽

R. J. Brooks

Keyword(s):

Least Squares ◽

Partial Least Squares ◽

Principal Components ◽

Ordinary Least Squares ◽

Principal Components Regression ◽

Continuum Regression

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Multiple Regression, Principal Components Regression and Partial Least Squares Regression

Statistics for Sensory and Consumer Science ◽

10.1002/9780470669181.ch15 ◽

2010 ◽

pp. 227-247

Keyword(s):

Least Squares ◽

Multiple Regression ◽

Partial Least Squares ◽

Principal Components ◽

Partial Least Squares Regression ◽

Least Squares Regression ◽

Principal Components Regression

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Comparison of principal components regression, partial least squares regression, multi-block partial least squares regression, and serial partial least squares regression algorithms for the analysis of Fe in iron ore using LIBS

Journal of Analytical Atomic Spectrometry ◽

10.1039/c1ja10164a ◽

2012 ◽

Vol 27 (1) ◽

pp. 92-98 ◽

Author(s):

P. Yaroshchyk ◽

D. L. Death ◽

S. J. Spencer

Keyword(s):

Least Squares ◽

Partial Least Squares ◽

Principal Components ◽

Iron Ore ◽

Partial Least Squares Regression ◽

Least Squares Regression ◽

Principal Components Regression ◽

Regression Algorithms

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Continuum regression: cross-validated sequentially constructed prediction embracing ordinary least squares, partial least squares and principal components regression

Deep Sea Research Part B Oceanographic Literature Review ◽

10.1016/s0198-0254(06)80522-4 ◽

1990 ◽

Vol 37 (12) ◽

pp. 1130

Keyword(s):

Least Squares ◽

Partial Least Squares ◽

Principal Components ◽

Ordinary Least Squares ◽

Principal Components Regression ◽

Continuum Regression

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Determination of Phenolic Hydroxyl Group Contents in Milled Wood Lignins by FTIR Spectroscopy Applying Partial Least-Squares (PLS) and Principal Components Regression (PCR)

Holzforschung ◽

10.1515/hfsg.1993.47.1.45 ◽

1993 ◽

Vol 47 (1) ◽

pp. 45-49 ◽

Author(s):

O. Faix ◽

J.H. Böttcher

Keyword(s):

Ftir Spectroscopy ◽

Least Squares ◽

Partial Least Squares ◽

Principal Components ◽

Phenolic Hydroxyl ◽

Hydroxyl Group ◽

Principal Components Regression

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Reducing the Dimension in Regressions with Multicollinear Inputs: Principal Components Regression and Partial Least Squares

Data Mining and Business Analytics with R ◽

10.1002/9781118596289.ch18 ◽

2013 ◽

pp. 247-257

Keyword(s):

Least Squares ◽

Partial Least Squares ◽

Principal Components ◽

Principal Components Regression

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