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Journal articles on the topic 'Partial Least Square (PLS)'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 July 2025

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1

Kumar, Keshav. "Partial Least Square (PLS) Analysis." Resonance 26, no. 3 (2021): 429–42. http://dx.doi.org/10.1007/s12045-021-1140-1.

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Mukhaiyar, Utriweni, Karina Ayudhia Sasmito, and Muh Qodri Alfairus. "Metode Response Based Unit Segmentation Partial Least Square pada Model Partial Least Square Path Modeling." Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi 11, no. 1 (2023): 124–35. http://dx.doi.org/10.34312/euler.v11i1.20105.

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Education is an important factor that can affect the development of a country and is a basic human need. To ensure the continuous progress of education, it is necessary to pay attention to the results and achievements of education in Indonesia. In this research model, Partial Least Square Path Modeling (PLS PM) is used to explain the relationship between education outcomes and achievements and the quality dimensions of provincial education in Indonesia. However, because there is heterogeneity in the population unit, the Response Based Unit Segmentation Partial Least Square (REBUS PLS) algorith

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Zulkifli, Raudhah, Nazim Aimran, Sayang Mohd Deni, and Fatin Najihah Badarisam. "A comparative study on the performance of maximum likelihood, generalized least square, scale-free least square, partial least square and consistent partial least square estimators in structural equation modeling." International Journal of Data and Network Science 6, no. 2 (2022): 391–400. http://dx.doi.org/10.5267/j.ijdns.2021.12.015.

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Structural equation modeling offers various estimation methods for estimating parameters. The most used method in covariance-based structural equation modeling (CB-SEM) is the maximum likelihood (ML) estimator. The ML estimator is typically used when fitting models with normally distributed data. The growth of partial least squares path modeling (PLS-PM), including consistent partial least squares (PLSc), has also been noticed by researchers in the SEM fields. The PLSc has elevated interest in the scholastic setting in measuring the performance of various estimation methods in structural equat

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Wibisono, Aryo, R. Amilia Destryana, and Ahmad Ghufrony. "Pelatihan Partial Least Square (PLS) Bagi Mahasiswa." Jurnal ABDIRAJA 4, no. 2 (2021): 24–30. http://dx.doi.org/10.24929/adr.v4i2.1542.

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Mahasiswa setiap di akhir masa perkuliahan di wajibkan untuk melakukan suatu penelitian, dimana penelitian ini dilakukan untuk melihat seberapa paham mahasiswa dalam menguasai teori yang sudah diajarkan oleh Dosennya. Dan pada saat melakukan penelitian atau yang biasa di sebut dengan skripsi terdapat dua metode yaitu metode kualitatif dan kuantitatif. Untuk penelitian kuantitatif sendiri memiliki beberapa alternatif dalam penyelesaiannya bisa menggunakan SPSS, Smart PLS, E-views, dll. Nah dalam rangka pengabdian saat ini, dilakukan pelatihan tentang penggunaan aplikasi Smart PLS. Dimana Smart

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Kurniawan, Arif, Loekito Loekito, and Solimun Solimun. "Power Of Test Path Analysis and Partial Least Square Analysis." CAUCHY 4, no. 3 (2016): 112. http://dx.doi.org/10.18860/ca.v4i3.3593.

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Path analysis Analysis and Partial Least Square (PLS) was used to analyze many variables. Both methods use the least squares method (OLS) that can be compared between the two to determine the best method in a study to get an assessment of the behavior of civil servants in the Government of Kediri.<br /> The purpose of this study is: comparing path analysis Analysis with Partial Least Square (PLS) on the power of the test and the valueR<sup>2</sup>.Path method is able to provide the value of R2 higher than Analysis of Partial Least Square (PLS) but the value of the test power

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Sahita, Panji Priya, ulianus Hutabarat, and Nelly Budiharti. "Quality of Service Using Partial Least Square (PLS)." International Journal of Innovative Science and Research Technology 5, no. 7 (2020): 1324–26. http://dx.doi.org/10.38124/ijisrt20jul709.

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Service quality is very closely related to customer satisfaction, the higher the quality of service provided, the higher the level of customer satisfaction obtained. The problem in this research is the presence of complaints from various customers of elevator maintenance service users which results in not achieving customer satisfaction. The purpose of this study is to find out what are the expectations needed by the customer to achieve customer satisfaction assisted by the PLS program.Questionnairedistributed the five objects of the research site then conducted the RSquare, Q-Square, F-Square

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Lee, Ke Hwa, and Shih Chih Che. "Introduction to Partial Least Square: Common Criteria and Practical Considerations." Advanced Materials Research 779-780 (September 2013): 1766–69. http://dx.doi.org/10.4028/www.scientific.net/amr.779-780.1766.

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In the social science research area, there are two important statistical methodologies, one is covariance-based structural equation modeling (CBSEM), and the other one is variance-based partial least square (PLS). Compared with CBSEM, PLS lacks comparatively the reference books and full applications. The main purpose of this study is to develop a paradigm to demonstrate how to assess the reliability, convergent validity, discriminant validity, and path analysis in a proposed research model by using Smart PLS. We hope this study’s result can offer some correct steps when using PLS.

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Mahramyari, Shiva, Eslam Pourbasheer, Alireza Banaei, Mohammad Reza Ganjali, and Parviz Norouzi. "Simultaneous spectrophotometric determination of ceftazidime and sulbactam using multivariate calibration methods." RSC Adv. 4, no. 77 (2014): 41039–44. http://dx.doi.org/10.1039/c4ra05562d.

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The simultaneous spectrophotometric determination of ceftazidime (CTZ) and sulbactam (SBT) in the presence of the overlapping spectra were accomplished with the partial least squares (PLS) and genetic algorithm-partial least square (GA-PLS) approaches.

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KUSUMA, PANDE PUTU BUDI, and I. GUSTI AYU MADE SRINADI. "PREDIKSI WAKTU KETAHANAN HIDUP DENGAN METODE PARTIAL LEAST SQUARE." E-Jurnal Matematika 2, no. 1 (2013): 49. http://dx.doi.org/10.24843/mtk.2013.v02.i01.p028.

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Coronary heart disease is caused due to an accumulation of fat on the inside walls of blood vessels of the heart (coronary arteries). The factors that had led to the occurrence of coronary heart disease is dominated by unhealthy lifestyle of patients, and the survival times of different patients. This research objective is to predict the survival time of patients with coronary heart disease by taking into account the explanatory variables were analyzed by the method of Partial Least Square (PLS). PLS method is used to resolve the multiple regression analysis when the specific problems of multi

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Jin, Xi, Xing Zhang, Kaifeng Rao, Liang Tang, and Qiwei Xie. "Semi-supervised partial least squares." International Journal of Wavelets, Multiresolution and Information Processing 18, no. 03 (2020): 2050014. http://dx.doi.org/10.1142/s0219691320500149.

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Traditional supervised dimensionality reduction methods can establish a better model often under the premise of a large number of samples. However, in real-world applications where labeled data are scarce, traditional methods tend to perform poorly because of overfitting. In such cases, unlabeled samples could be useful in improving the performance. In this paper, we propose a semi-supervised dimensionality reduction method by using partial least squares (PLS) which we call semi-supervised partial least squares (S2PLS). To combine the labeled and unlabeled samples into a S2PLS model, we first

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Sofyani, Hafiez. "Penggunaan Teknik Partial Least Square (PLS) dalam Riset Akuntansi Berbasis Survei." Reviu Akuntansi dan Bisnis Indonesia 9, no. 1 (2025): 80–94. https://doi.org/10.18196/rabin.v9i1.26199.

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Latar Belakang: Dalam satu dekade terkahir metodologi survei dengan teknik analisis data berbasis metode Partial Least Square telah semakin populer digunakan dalam riset akuntansi, khususnya pada bidang akuntansi sektor publik, akuntansi manajemen, pengauditan, dan sistem informasi akuntansi. Namun demikian, kaidah dan pedoman penggunakan metode ini belum banyak dikupas oleh akademisi akuntansi Indonesia. Tujuan: Makalah ini bertujuan untuk menutupi celah literatur terkait metode Partial Least Square pada riset akuntansi berbasis survei. Secara spesifik makalah ini menjelaskan metode Partial L

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Macire KANTE, Christopher Chepken, and Robert Oboko. "Partial least square structural equation modellingâ' use in information systems." Kabarak Journal of Research & Innovation 6, no. 1 (2018): 49–67. http://dx.doi.org/10.58216/kjri.v6i1.125.

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The purpose of many studies in the field of Information Systems (IS) research is to analyse causal relationship between variables. Structural Equation Modelling (SEM) is a statistical technique for testing and estimating those causal relationship based on statistical data and qualitative causal assumption. Partial Least Square Structural Equation Modelling (PLS-SEM) is the technique that is mostly used in IS research. It has been subject to many reviews either in confirmatory or exploratory settings. However, it has recently emerged that PLS occupies the middle ground of exploratory and confir

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Lenggogeni, Sari. "Why Is The Partial Least Square Important For Tourism Studies." International Journal of Tourism, Heritage and Recreation Sport 1, no. 2 (2019): 7–15. http://dx.doi.org/10.24036/ijthrs.v1i2.27.

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Although the multiple regression method has been applied to exploratory research on most tourism studies, there is lack of understanding on studies that present a well-justified rationale in choosing a robust statistical tool for data analysis. This research note aims to review why tourism researchers are encouraged to use the Partial Least Squares Structural Equation Modelling (PLS-SEM) method to address this research problem. This article provides rationale, comparisons among techniques for multiple regression-based papers and suggestions for tourism researchers to justify why PLS-SEM is imp

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Sadiq, Maryam, Alanazi Talal Abdulrahman, Randa Alharbi, Dalia Kamal Fathi Alnagar, and Syed Masroor Anwar. "Modeling the Ranked Antenatal Care Visits Using Optimized Partial Least Square Regression." Computational and Mathematical Methods in Medicine 2022 (March 14, 2022): 1–8. http://dx.doi.org/10.1155/2022/2868885.

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The frequency and timing of antenatal care visits are observed to be the significant factors of infant and maternal morbidity and mortality. The present research is conducted to determine the risk factors of reduced antenatal care visits using an optimized partial least square regression model. A data set collected during 2017-2018 by Pakistan Demographic and Health Surveys is used for modeling purposes. The partial least square regression model coupled with rank correlation measures are introduced for improved performance to address ranked response. The proposed models included PLS ρ s , PLS

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Fan, Shu Kai S., and Yuan Jung Chang. "Advanced Process Control Using Partial Least Squares." Advanced Materials Research 542-543 (June 2012): 124–27. http://dx.doi.org/10.4028/www.scientific.net/amr.542-543.124.

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This paper applies the partial least squares (PLS) technique to the multiple-input multiple-output (MIMO) semiconductor processes under the paradigm of the Advanced Process Control (APC). First, we present a controller called the PLS-MIMO double exponentially weighted moving average (PLS-MIMO DEWMA) controller. It uses the PLS method as the model building/estimation technique to help the EWMA controller to produce more consistent and robust control outputs than purely using the conventional EWMA controller. To cope with metrology delays, the proposed controller uses the pre-process metrology d

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Peng, Dan, and Qing Chen Nie. "A Consensus Partial Least Squares Regression for Analysis of Near-Infrared Spectroscopy." Advanced Materials Research 765-767 (September 2013): 528–31. http://dx.doi.org/10.4028/www.scientific.net/amr.765-767.528.

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To improve the prediction performance of partial least square regression algorithm (PLS), the consensus strategy was applied to develop the multivariate regression model using near-infrared (NIR) spectra and named as C-PLS. Coupled with the consensus strategy, this algorithm can take the advantage of reducing dependence on single model to obtain prediction precision and stability by randomly changing the calibration set. Through an optimization of the parameters involved in the model including criterion threshold and number of sub-models, a successful model was achieved by effectively combinin

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Ginanjar, Arief, and Awan Setiawan. "Analisis Partial Least Square Menghasilkan Output Alternatif Antarmuka Tambahan Dari Kansei Engineering." Jurnal TIARSIE 17, no. 2 (2020): 67. http://dx.doi.org/10.32816/tiarsie.v17i2.78.

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Ketika menggunakan Kansei Engineering dalam mencari kandidat terbaik untuk menentukan model perancangan antarmuka website, peneliti menggunakan metode analisis Partial Least Square (PLS) yang dilakukan secara berulang hingga ditemukan elemen terbaik yang dapat diimplementasikan. PLS sebagai alat bantu untuk menentukan nilai terbaik antara elemen website. Output perbandingan yang dihasilkan akan dikelompokkan berdasarkan Kansei Word sebagaimana yang telah ditentukan dalam rencana awal implementasi Kansei Engineering, output perbandingan PLS iterasi pertama mempunyai kemungkinan mendapatkan nila

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Sarrafi, Amir H. M., Elahe Konoz, and Maryam Ghiyasvand. "Simultaneous Detemination of Atorvastatin Calcium and Amlodipine Besylate by Spectrophotometry and Multivariate Calibration Methods in Pharmaceutical Formulations." E-Journal of Chemistry 8, no. 4 (2011): 1670–79. http://dx.doi.org/10.1155/2011/292346.

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Resolution of binary mixture of atorvastatin (ATV) and amlodipine (AML) with minimum sample pretreatment and without analyte separation has been successfully achieved using a rapid method based on partial least square analysis of UV–spectral data. Multivariate calibration modeling procedures, traditional partial least squares (PLS-2), interval partial least squares (iPLS) and synergy partial least squares (siPLS), were applied to select a spectral range that provided the lowest prediction error in comparison to the full-spectrum model. The simultaneous determination of both analytes was possib

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Pangastuti, Sinta Septi, Tri Murniati, Alhassan Sessay, and Heri Kuswanto. "Partial Least Square Analysis for University Student Satisfaction." Proceeding International Conference on Science and Engineering 3 (April 30, 2020): 653–60. http://dx.doi.org/10.14421/icse.v3.581.

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A university needs to identify and analyse their students’ satisfaction to be able to compete with others. There are five dimensions to identify students’ satisfaction, such as reliability, assurance, empathy, responsiveness, and tangibles. Related to randomness of the data, primary data collected from stratified sampling tend to violate multivariate normality test. Therefore, partial least square (PLS) might be one alternative solution since it ignores multivariate normal and multicollinearity assumptions. As a result, tangible, assurance and empathy affect student satisfaction and student sa

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Vidaurre, Diego, Marcel A. J. van Gerven, Concha Bielza, Pedro Larrañaga, and Tom Heskes. "Bayesian Sparse Partial Least Squares." Neural Computation 25, no. 12 (2013): 3318–39. http://dx.doi.org/10.1162/neco_a_00524.

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Partial least squares (PLS) is a class of methods that makes use of a set of latent or unobserved variables to model the relation between (typically) two sets of input and output variables, respectively. Several flavors, depending on how the latent variables or components are computed, have been developed over the last years. In this letter, we propose a Bayesian formulation of PLS along with some extensions. In a nutshell, we provide sparsity at the input space level and an automatic estimation of the optimal number of latent components. We follow the variational approach to infer the paramet

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Samosir, Ravika Dewi, Deiby Tineke Salaki, and Yohanes Langi. "Comparison of Partial Least Squares Regression and Principal Component Regression for Overcoming Multicollinearity in Human Development Index Model." Operations Research: International Conference Series 3, no. 1 (2022): 1–7. http://dx.doi.org/10.47194/orics.v3i1.126.

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One of the assumptions in ordinary least squares (OLS) in estimating regression parameter is lack of multicollinearity. If the multicollinearity exists, Partial Least Square (PLS) and Principal Component Regression (PCR) can be used as alternative approaches to solve the problem. This research intends to compare those methods in modeling factors that influence the Human Development Index (HDI) of North Sumatra Province in 2019 obtained from the Central Bureau of Statistics. The result indicates that the PLS outperforms the PCR in term of the coefficient of determination and squared error

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Berutu, Trisnawati Gusnawita, Abdul Hoyyi, and Sugito Sugito. "ANALISIS KEPUASAN DAN LOYALITAS PELANGGAN DALAM PEMESANAN TIKET PESAWAT SECARA ONLINE MENGGUNAKAN PENDEKATAN PARTIAL LEAST SQUARE (PLS)." Jurnal Gaussian 7, no. 4 (2018): 361–72. http://dx.doi.org/10.14710/j.gauss.v7i4.28863.

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Technology advances are bring rapid changes, thus bringing the world to the information society. From this technological progress thus e-commerce emerged, as a means to meet the needs of goods and services through internet access (online). This is what the airlines utilized by cooperating with various internet service providers (online), to provide convenience and comfort of airplane passengers in buying tickets without having to come directly to the place and through intermediaries. To provide the best service, need to know what factors that influence customer satisfaction in ordering airline

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Rosmaidah, Rika, and Suwandi Suwandi. "Pengaruh Produktivitas dan Lingkungan Kerja terhadap Kinerja Rumah Sakit dengan Remunerasi sebagai Variabel Moderating." Journal of Culture Accounting and Auditing 2, no. 1 (2023): 40. http://dx.doi.org/10.30587/jcaa.v2i1.5521.

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Peran manusia begitu penting dalam pencapaian tujuan sebuah organisasi, pencapaian tujuan organisasi dapat mudah dicapai jika organisasi memiliki sumberdaya manusia yang berpengalaman dan handal dalam bidangnya. Teknik pengumpulan data yang digunakan dalam menunjang penelitian ini adalah kuesioner, yaitu sejumlah pertanyaan tertulis yang diberikan kepada responden untuk memperoleh. Pengaruh Produktivitas terhadap variabel Kinerja Rumah Sakit dengan taraf nyata (probabilitas) = 10% = 0,10 dan dari hasil Regresi Partial Least Square (PLS) diperoleh t-hitung = 4,44. Pengujian Pengaruh Lingkungan

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Gil, Juan A., and Rosario Romera. "On robust partial least squares (PLS) methods." Journal of Chemometrics 12, no. 6 (1998): 365–78. http://dx.doi.org/10.1002/(sici)1099-128x(199811/12)12:6<365::aid-cem519>3.0.co;2-g.

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Sulkiah. "PENGARUH LITERASI DAN PENGELOLAAN KEUANGAN TERHADAP KESEJAHTERAAN FINANSIAL RUMAH TANGGA NELAYAN LABUHAN HAJI." Jurnal Akuntansi dan Keuangan Syariah - ALIANSI 6, no. 2 (2023): 86–93. http://dx.doi.org/10.54712/aliansi.v6i1.278.

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This research aims to determine the influence of financial literacy on financial well-being, the influence of financial literacy on family financial management, and the influence of financial literacy on financial well-being mediated by family financial management. The analytical tool used in this research is PLS (Partial Least Square). Data analysis in this research uses the Partial least squares (PLS) approach. The research results show that financial literacy has a positive and significant effect on financial well-being, financial literacy has a positive and significant effect on family fin

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Wang, Zhuo, Jian Feng Xu, and Ran Hu. "Explore Medicine Using Compression and Partial Least Square Discriminate Analysis Method." Applied Mechanics and Materials 220-223 (November 2012): 2694–97. http://dx.doi.org/10.4028/www.scientific.net/amm.220-223.2694.

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The aim to explore the different medicine have different or similar effect, the paper put forward explore medicine using compression and partial least square discriminate analysis method. First of these to data preprocessing using wavelet compression ,the second to classify and train the sample of medicine based on PLS-DA,the third to discriminate the medicine which unknown type. The result indicate that the different medicine have different or similar effect ,the new medicine may classify based on effect using PLS-DA. The method was proved to be feasible and effective after tested with 8 kind

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Marliana, Reny Rian. "PARTIAL LEAST SQUARE-STRUCTURAL EQUATION MODELING PADA HUBUNGAN ANTARA TINGKAT KEPUASAN MAHASISWA DAN KUALITAS GOOGLE CLASSROOM BERDASARKAN METODE WEBQUAL 4.0." Jurnal Matematika, Statistika dan Komputasi 16, no. 2 (2019): 174. http://dx.doi.org/10.20956/jmsk.v16i2.7851.

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AbstractThis paper studied a relationship between the quality of google classroom and student satisfaction. The quality of google classroom measured based on the Webqual 4.0 which is consists of four variables i.e. information quality, service interaction quality, user interface quality and usability. The relationship modeling between these latent variables and the student satisfaction was done by using the Partial Least Square-Structural Equation Modeling (PLS-SEM). Estimation parameters of the model used PLS-SEM algorithm and Ordinary Least Square (OLS) method. Data was collected using a que

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F. Hair Jr, Joe, Marko Sarstedt, Lucas Hopkins, and Volker G. Kuppelwieser. "Partial least squares structural equation modeling (PLS-SEM)." European Business Review 26, no. 2 (2014): 106–21. http://dx.doi.org/10.1108/ebr-10-2013-0128.

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Purpose – The authors aim to present partial least squares (PLS) as an evolving approach to structural equation modeling (SEM), highlight its advantages and limitations and provide an overview of recent research on the method across various fields. Design/methodology/approach – In this review article, the authors merge literatures from the marketing, management, and management information systems fields to present the state-of-the art of PLS-SEM research. Furthermore, the authors meta-analyze recent review studies to shed light on popular reasons for PLS-SEM usage. Findings – PLS-SEM has exper

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Miftahuddin, Miftahuddin, Retno Wahyuni Putri, Ichsan Setiawan, and Rina Suryani Oktari. "MODELING OF SEA SURFACE TEMPERATURE BASED ON PARTIAL LEAST SQUARE - STRUCTURAL EQUATION." MEDIA STATISTIKA 14, no. 2 (2021): 170–82. http://dx.doi.org/10.14710/medstat.14.2.170-182.

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Variability of Sea Surface Temperature (SST) is one of the climatic features that influence global and regional climate dynamics. Missing data (gaps) in the SST dataset are worth investigating since they may statistically alter the value of the SST change. The partial least square-structural equation modeling (PLS-SEM) approach is used in this work to estimate the causality relationships between exogenous and endogenous latent variables. The findings of this study, which are significant indicators that have a loading factor value > 0.7 are as follows: i) sea surface temperature (oC) as a me

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PURBA, PRISCELLA, G. K. GANDHIADI, and MADE SUSILAWATI. "ANALISIS FAKTOR-FAKTOR YANG MEMENGARUHI KINERJA PEGAWAI MENGGUNAKAN PARTIAL LEAST SQUARE." E-Jurnal Matematika 13, no. 1 (2024): 14. http://dx.doi.org/10.24843/mtk.2024.v13.i01.p436.

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Partial least squares (PLS) is a powerful analytical technique that may be utilised across all data scales, without the need for numerous assumptions and without the requirement of a large sample size. In this study, the PLS method was utilized to determine the elements influencing the performance of employees of PT Pegadaian (Persero) Medan Region I office. The elements employed in this study are: leadership, work environment, discipline, remuneration and work motivation. The results showed that work motivation has a positive and significant effect on employee performance with an effect of 0.

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Mohd Idrus, Mohd Nazrul Effendy, and Kim Seng Chia. "Artificial neural network and partial least square in predicting blood hemoglobin using near-infrared spectrum." Indonesian Journal of Electrical Engineering and Computer Science 16, no. 2 (2019): 701. http://dx.doi.org/10.11591/ijeecs.v16.i2.pp701-708.

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<p>Predictive models is crucial in near-infrared (NIR) spectroscopic analysis. Partial least square - artificial neural network (PLS-ANN) is a hybrid method that may improve the performance of prediction in NIR spectroscopic analysis. This study investigates the advantage of PLS-ANN over the well-known modelling in spectroscopy analysis that is partial least square (PLS) and artificial neural network (ANN). The results show that ANN that coupled with first order SG derivatives achieved the best prediction with root mean square error of prediction (RMSEP) of 0.3517 gd/L and coefficient of

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Setia, Lutfiyah Dwi. "PARTIAL LEAST SQUARE PADA PENGUKURAN USABILITAS APLIKASI SIMKOPSYAH." Jurnal AKSI (Akuntansi dan Sistem Informasi) 1, no. 1 (2017): 1–2. http://dx.doi.org/10.32486/aksi.v1i1.97.

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Pembuatan suatu aplikasi harus dilakukan dengan memperhatikan faktor kemudahan penggunaan (usability). Usability aplikasi penting untuk diperhatikan agar pengguna yang mengimplementasikan aplikasi tersebut merasa mudah untuk menggunakannya, memperoleh informasi yang diperlukan, dan tertarik untuk masuk lebih dalam pada aplikasi. Penelitian ini dilakukan untuk menganalisis apakah aplikasi SIMKOPSYAH memiliki akseptabilitas berdasarkan kriteria usability aplikasi. Penelitian dilakukan dengan menggunakan kuesioner sebagai instrumen penelitian. Kuesioner penelitian yang disebar terdiri atas 45 per

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Shi, Qiang, Jian Tang, and Li Jie Zhao. "Feature Selection Approach based on Mutual Information and Partial Least Squares." Advanced Materials Research 875-877 (February 2014): 2025–29. http://dx.doi.org/10.4028/www.scientific.net/amr.875-877.2025.

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Feature selection technology can improve the modeling accuracy and reduce model’s complexity, especially for the high dimensional spectral data. Aim at this problem, feature selection approach based on mutual information (MI) and partial least square (PLS) is proposed in this paper. MI values between features and responsible variable are calculated, and the threshold value using to select final features is optimal selected based on PLS algorithm. The numbers of the latent values of the PLS and the threshold value of MI are selected according the modeling performance simultaneously. The experim

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Hair, Joseph F., Marko Sarstedt, and Christian M. Ringle. "Rethinking some of the rethinking of partial least squares." European Journal of Marketing 53, no. 4 (2019): 566–84. http://dx.doi.org/10.1108/ejm-10-2018-0665.

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PurposePartial least squares structural equation modeling (PLS-SEM) is an important statistical technique in the toolbox of methods that researchers in marketing and other social sciences disciplines frequently use in their empirical analyses. The purpose of this paper is to shed light on several misconceptions that have emerged as a result of the proposed “new guidelines” for PLS-SEM. The authors discuss various aspects related to current debates on when or when not to use PLS-SEM, and which model evaluation metrics to apply. In addition, this paper summarizes several important methodological

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Ketterlinus, Robert D., Fred L. Bookstein, Paul D. Sampson, and Michael E. Lamb. "Partial least squares analysis in developmental psychopathology." Development and Psychopathology 1, no. 4 (1989): 351–71. http://dx.doi.org/10.1017/s0954579400000523.

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AbstractDespite extensive theoretical and empirical advances in the last two decades, little attention has been paid to the development of statistical techniques suited for the analysis of data gathered in studies of developmental psychopathology. As in most other studies of developmental processes, research in this area often involves complex constructs, such as intelligence and antisocial behavior, measured indirectly using multiple observed indicators. Relations between pairs of such constructs are sometimes reported in terms of latent variables (LVs): linear combinations of the indicators

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Cheng, Hao. "Comparison of partial least square algorithms in hierarchical latent variable model with missing data." SIMULATION 96, no. 10 (2020): 825–39. http://dx.doi.org/10.1177/0037549720944467.

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Missing data is almost inevitable for various reasons in many applications. For hierarchical latent variable models, there usually exist two kinds of missing data problems. One is manifest variables with incomplete observations, the other is latent variables which cannot be observed directly. Missing data in manifest variables can be handled by different methods. For latent variables, there exist several kinds of partial least square (PLS) algorithms which have been widely used to estimate the value of latent variables. In this paper, we not only combine traditional linear regression type PLS

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Xin, Jin, Chi Qinghua, Liu Kangling, and Liang Jun. "An Improved Generalized Predictive Control in a Robust Dynamic Partial Least Square Framework." Mathematical Problems in Engineering 2015 (2015): 1–14. http://dx.doi.org/10.1155/2015/923584.

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To tackle the sensitivity to outliers in system identification, a new robust dynamic partial least squares (PLS) model based on an outliers detection method is proposed in this paper. An improved radial basis function network (RBFN) is adopted to construct the predictive model from inputs and outputs dataset, and a hidden Markov model (HMM) is applied to detect the outliers. After outliers are removed away, a more robust dynamic PLS model is obtained. In addition, an improved generalized predictive control (GPC) with the tuning weights under dynamic PLS framework is proposed to deal with the i

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Guo, Qiaozhen, Huanhuan Wu, Huiyi Jin, Guang Yang, and Xiaoxu Wu. "Remote Sensing Inversion of Suspended Matter Concentration Using a Neural Network Model Optimized by the Partial Least Squares and Particle Swarm Optimization Algorithms." Sustainability 14, no. 4 (2022): 2221. http://dx.doi.org/10.3390/su14042221.

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Suspended matter concentration is an important index for the assessment of a water environment and it is also one of the core parameters for remote sensing inversion of water color. Due to the optical complexity of a water body and the interaction between different water quality parameters, the remote sensing inversion accuracy of suspended matter concentration is currently limited. To solve this problem, based on the remote sensing images from Gaofen-2 (GF-2) and the field-measured suspended matter concentration, taking a section of the Haihe River as the study area, this study establishes a

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Perdana, Petrolis Nusa, Diah Armeliza, Hera Khairunnisa, and Hafifah Nasution. "Research Data Processing Through Structural Equation Model-Partial Least Square (SEM-PLS) Method." Jurnal Pemberdayaan Masyarakat Madani (JPMM) 7, no. 1 (2023): 44–50. http://dx.doi.org/10.21009/jpmm.007.1.05.

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Structural Equation Modeling (SEM) is one type of multivariate analysis in the social sciences. Multivariate analysis is the application of statistical methods to analyze several research variables simultaneously. This community service activity was held and aimed at the academic community (lecturers and students) from partner campuses of the Faculty of Economics, State University of Jakarta, they are FEB UHAMKA, STIE Indonesia, and Tempo Polytechnic with the aim of providing knowledge about research methodologies, especially the Structural Equation Modeling method (SEM) – Partial Least Square

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Nitzl, Christian, Jose L. Roldan, and Gabriel Cepeda. "Mediation analysis in partial least squares path modeling." Industrial Management & Data Systems 116, no. 9 (2016): 1849–64. http://dx.doi.org/10.1108/imds-07-2015-0302.

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Purpose Indirect or mediated effects constitute a type of relationship between constructs that often occurs in partial least squares (PLS) path modeling. Over the past few years, the methods for testing mediation have become more sophisticated. However, many researchers continue to use outdated methods to test mediating effects in PLS, which can lead to erroneous results. One reason for the use of outdated methods or even the lack of their use altogether is that no systematic tutorials on PLS exist that draw on the newest statistical findings. The paper aims to discuss these issues. Design/met

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Hedi, Hedi. "PENAKSIRAN PARAMETER PLS DENGAN METODE ALGORITMA NIPALS MENGGUNAKAN BAHASA PEMROGRAMAN STATISTICA." Sigma-Mu 9, no. 2 (2017): 9–15. http://dx.doi.org/10.35313/sigmamu.v9i2.971.

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Prediksi nilai variabel respon didasarkan pada beberapa variabel prediktor dinamakan analisis regresi. Dalam praktiknya, permasalahan yang sering muncul adalah variabel-variabel prediktor yang saling berkorelasi (multikolinieritas). Untuk mengatasi masalah tersebut diterapkan metode Partial Least Squares Regression (PLS). Penaksiran parameter pada PLS diperoleh dengan menggunakan algoritma NIPALS (Non Linier Iterative Least Square) yang langkah-lanngkah perhitungannya ditentukan dengan bahasa pemrograman STATISTICA

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Jiao, Long, Shan Bing, Xiaofeng Zhang, and Hua Li. "Interval partial least squares and moving window partial least squares in determining the enantiomeric composition of tryptophan by using UV-Vis spectroscopy." Journal of the Serbian Chemical Society 81, no. 2 (2016): 209–18. http://dx.doi.org/10.2298/jsc150227065j.

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The application of interval partial least squares (IPLS) and moving window partial least squares (MWPLS) to the enantiomeric analysis of tryptophan (Trp) was investigated. A UV-Vis spectroscopy method for determining the enantiomeric composition of Trp was developed. The calibration model was built by using partial least squares (PLS), IPLS and MWPLS respectively. Leave-one-out cross validation and external test validation were used to assess the prediction performance of the established models. The validation result demonstrates the established full-spectrum PLS model is impractical for quant

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M. Fikri Andika Kurniawan, Isni Dwitiniardi, Meta Kallista, and Ashri Dinimaharawati. "PENGARUH IKLIM TERHADAP KASUS DEMAM BERDARAH DENGUE MENGGUNAKAN ALGORITMA PARTIAL LEAST SQUARE." Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer 3, no. 1 (2023): 11–20. http://dx.doi.org/10.51903/juritek.v3i1.626.

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Demam Berdarah Dengue (DBD) sering menjadi penyakit yang endemis di setiap wilayah tropis dan di Sebagian wilayah subtropis. Virus ini disebarkan dalam suatu wilayah dengan cepat melalui gigitan nyamuk Aedes aegypti. Ratusan ribu penderita DBD yang disebabkan oleh nyamuk Aedes aegypti di tahun 2016. Keberlangsungan hidup nyamuk dapat dipengaruhi beberapa faktor, salah satunya adalah perubahan iklim yang dapat berpengaruh pada pola infeksi penyakit yang disebar sehingga menyebabkan risiko tinggi untuk penyebaran penyakit di suatu wilayah. Penelitian ini dilakukan untuk menemukan pengaruh

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Panji Yudha, Rivo, and Novi Andriyati Noza. "Analisis Faktor Fasilitas Pendidikan Anak Usia Dini dengan Metode Structural Partial Least Square." Jurnal Pelita PAUD 7, no. 2 (2023): 350–58. http://dx.doi.org/10.33222/pelitapaud.v7i2.3005.

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Fasilitas pendidikan dalam proses pembelajaran di sekolah diyakini mampu meningkatkan prestasi dan kualitas siswa. Dengan fasilitas sekolah yang mendukung siswa untuk belajar mandiri dan tidak hanya mengandalkan proses belajar mengajar di sekolah. Penulis melakukan penelitian ini untuk mengetahui apakah ada hubungan antara ketersediaan fasilitas pendidikan, kondisi fisik, kebutuhan siswa dan juga kebutuhan tenaga pendidik di fasilitas pendidikan. Metode yang dapat digunakan dalam penelitian ini adalah dengan menggunakan analisis Structural Equation Modeling (SEM) berdasarkan varian yaitu Parti

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Land, Walker H., William Ford, Jin-Woo Park, et al. "Partial Least Squares (PLS) Applied to Medical Bioinformatics." Procedia Computer Science 6 (2011): 273–78. http://dx.doi.org/10.1016/j.procs.2011.08.051.

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Cramer, Richard D. "Partial Least Squares (PLS): Its strengths and limitations." Perspectives in Drug Discovery and Design 1, no. 2 (1993): 269–78. http://dx.doi.org/10.1007/bf02174528.

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Joo, Jihyuk. "Exploring relationships among Korean Children's Depression, Smartphone Addiction, and School Life Satisfaction: Focusing on Partial Least Square (PLS) Path Modeling." Journal of Digital Policy and Management 11, no. 12 (2013): 49–60. http://dx.doi.org/10.14400/jdpm.2013.11.12.49.

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Janik, L. J., J. O. Skjemstad, K. D. Shepherd, and L. R. Spouncer. "The prediction of soil carbon fractions using mid-infrared-partial least square analysis." Soil Research 45, no. 2 (2007): 73. http://dx.doi.org/10.1071/sr06083.

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This paper describes the application of mid-infrared (MIR) spectroscopy and partial least-squares (PLS) analysis to predict the concentration of organic carbon fractions present in soil. The PLS calibrations were derived from a standard set of soils that had been analysed for total organic carbon (TOC), particulate organic carbon (POC), and charcoal carbon (char-C) using physical and chemical means. PLS calibration models from this standard set of soils allowed the prediction of TOC, POC, and char-C fractions with a coefficient of determination (R2) of measured v. predicted data ranging betwee

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Pei, Yanling, Zhisheng Wu, Xinyuan Shi, Xiaoning Pan, Yanfang Peng, and Yanjiang Qiao. "NIR assignment of isopsoralen by 2D-COS technology and model application in Yunkang Oral Liquid." Journal of Innovative Optical Health Sciences 08, no. 06 (2015): 1550023. http://dx.doi.org/10.1142/s1793545815500236.

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Near infrared (NIR) assignment of Isopsoralen was performed using deuterated chloroform solvent and two-dimensional correlation spectroscopy (2D-COS) technology. Yunkang Oral Liquid was applied to study Isopsoralen, the characteristic bands by spectral assignment as well as the bands by interval partial least squares (iPLS) and synergy interval partial least squares (siPLS) were used to establish partial least squares (PLS) model. The coefficient of determination in calibration [Formula: see text] were 0.9987, 0.9970 and 0.9982. The coefficient of determination in cross validation [Formula: se

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Ohyver, Margaretha. "Penerapan Partial Least Squares Pada Data Gingerol." ComTech: Computer, Mathematics and Engineering Applications 1, no. 1 (2010): 39. http://dx.doi.org/10.21512/comtech.v1i1.2166.

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Multivariate calibration model aims to predict the expensive measures obtained by using the measures of a cheap and easy. There are several problems that often occur in the model calibration, among others, and multikolinear. To overcome these problems we used partial least squares method (PLS). The study was conducted to apply the PLS method on the data gingerol. Based on research conducted with the two components of the model obtained with the diversity of variable Y at 83.8032% and the diversity of variable X equal to 100%, and obtained for R2 = 83.8% and RMSE = 0.100891 calibration data gro

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