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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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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Quantitative determination of polyphosphate in sediments using Attenuated Total Reflectance-Fourier Transform Infrared (ATR-FTIR) spectroscopy and partial least squares regression

The Analyst ◽

10.1039/c2an35289c ◽

2012 ◽

Vol 137 (16) ◽

pp. 3704 ◽

Author(s):

Aazam Khoshmanesh ◽

Perran L. M. Cook ◽

Bayden R. Wood

Keyword(s):

Fourier Transform ◽

Quantitative Determination ◽

Ftir Spectroscopy ◽

Least Squares ◽

Partial Least Squares ◽

Partial Least Squares Regression ◽

Attenuated Total Reflectance ◽

Least Squares Regression ◽

Total Reflectance

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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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Multivariate determination of cloud point in palm oil using partial least squares and principal component regression based on FTIR spectroscopy

Journal of the American Oil Chemists Society ◽

10.1007/s11746-004-0852-4 ◽

2004 ◽

Vol 81 (1) ◽

pp. 7-11 ◽

Author(s):

G. Setiowaty ◽

Y. B. Che Man

Keyword(s):

Ftir Spectroscopy ◽

Least Squares ◽

Partial Least Squares ◽

Cloud Point ◽

Palm Oil ◽

Principal Component Regression ◽

Principal Component

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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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Micro-FTIR spectroscopy and partial least-squares regression for rapid determination of moisture content of nanogram-scaled heat-treated wood

Journal of Wood Science ◽

10.1186/s10086-020-1848-7 ◽

2020 ◽

Vol 66 (1) ◽

Author(s):

Hanmeng Yuan ◽

Shiyao Tang ◽

Qiuyan Luo ◽

Teng Xiao ◽

Wenlei Wang ◽

...

Keyword(s):

Moisture Content ◽

Ftir Spectroscopy ◽

Least Squares ◽

Partial Least Squares ◽

Partial Least Squares Regression ◽

Rapid Determination ◽

Treated Wood ◽

Least Squares Regression ◽

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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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Simultaneous Determination of Multicomponents in Air Toxic Organic Compounds with Partial Least-Squares Method Using FTIR Spectroscopy

Spectroscopy Letters ◽

10.1080/00387019808003283 ◽

1998 ◽

Vol 31 (5) ◽

pp. 1053-1063 ◽

Author(s):

Binghe Gu ◽

Junde Wang

Keyword(s):

Ftir Spectroscopy ◽

Least Squares ◽

Simultaneous Determination ◽

Partial Least Squares ◽

Organic Compounds ◽

Least Squares Method ◽

Partial Least Squares Method ◽

Toxic Organic Compounds

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