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Prediction of Caffeine in Tablets Containing Acetylsalicylic Acid, Dipyrone, and Paracetamol by Near-Infrared Spectroscopy, Raman Scattering, and Partial Least Squares Regression
Two chemometric models drawing on diffuse reflectance near-infrared spectroscopy and Raman scattering are proposed to predict caffeine content in...
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Using Ordinary Least Squares in Higher Education Research: A Primer
This chapter serves as a primer in utilizing ordinary least squares (OLS) in higher education research, by providing an overview of this commonly...
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Weighted least squares for archetypal analysis with missing data
Archetypal analysis expresses observations in terms of a limited number of archetypes, defined as convex combinations of observed units. Such...
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An improved multi-task least squares twin support vector machine
In recent years, multi-task learning (MTL) has become a popular field in machine learning and has a key role in various domains. Sharing knowledge...
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Hybrid N-way Partial Least Squares and Random Forest Model for Brick Tea Identification Based on Excitation–emission Matrix Fluorescence Spectroscopy
Excitation-emission matrix fluorescence spectroscopy coupled with a hybrid N-way partial least squares and random forest (NPLS-RF) model was proposed...
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Green human resource management, competitive advantages, and green ambidexterity: using partial least squares structural equation modeling and necessary condition analysis
This study investigates the effect of green human resource management practices on green competitive advantage and the mediating role of competitive...
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Least Squares Estimators and Residuals Analysis
The main objective of this chapter is to introduce tools for analyzing the impact of the noise acting on the data sets, on the one hand, on the least...
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A New Partially-coupled Recursive Least Squares Algorithm for Multivariate Equation-error Systems
This paper focuses on the parameter estimation problems for multivariate pseudo-linear systems. Based on the parameters coupling characteristic of...
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Trend and Seasonality Model Learning with Least Squares
In this chapter, a specific attention is paid to the determination of parametric models of the time series deterministic components: the trend and...
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A within-subject voxel-wise constant-block partial least squares correlation method to explore MRI-based brain structure–function relationship
The brain structure–function relationship is crucial to how the human brain works under normal or diseased conditions. Exploring such a relationship...
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Total least squares estimation model based on uncertainty theory
Uncertain least squares estimation is one of the important methods to deal with imprecisely observed data, which can solve linear regression equation...
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The Use of Partial Least Squares Structural Equation Modeling and Complementary Methods in International Management Research
Research in international business and management (IM) is highly complex, contextual, and spans various subfields and related theoretical lenses....
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Fuzzy Least Squares Support Vector Machine with Fuzzy Hyperplane
This study uses fuzzy set theory for least squares support vector machines (LS-SVM) and proposes a novel formulation that is called a fuzzy...
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Robust optimal subsampling based on weighted asymmetric least squares
With the development of contemporary science, a large amount of generated data includes heterogeneity and outliers in the response and/or covariates....
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Least Squares and Related
This chapter begins with a review of least squares and Procrustes problems and continues with a discussion of least squares in the linear separable...
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Using Ordinary Least Squares in Higher Education Research: A Primer
This chapter serves as a primer in utilizing ordinary least squares (OLS) in higher education research, by providing an overview of this commonly...
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Global Least Squares Path Modeling: A Full-Information Alternative to Partial Least Squares Path Modeling
Partial least squares path modeling has been widely used for component-based structural equation modeling, where constructs are represented by...
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Numerical simulation of Volterra–Fredholm integral equations using least squares support vector regression
In this paper, a new method based on least squares support vector regression (LS-SVR) is presented as a numerical method for solving linear and...
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Integration of fingerprint-based similarity searching and kernel-based partial least squares analysis to predict inhibitory activity against CSK, HER2, JAK1, JAK2, and JAK3
Fingerprint-based similarity searching is an important strategy for virtual screening in drug discovery. In the present study, we carried out a...
