{"id":"https://openalex.org/W1992689270","doi":"https://doi.org/10.1016/s0005-1098(99)00210-1","title":"A weighted view on the partial least-squares algorithm","display_name":"A weighted view on the partial least-squares algorithm","publication_year":2000,"publication_date":"2000-06-01","ids":{"openalex":"https://openalex.org/W1992689270","doi":"https://doi.org/10.1016/s0005-1098(99)00210-1","mag":"1992689270"},"language":"en","primary_location":{"id":"doi:10.1016/s0005-1098(99)00210-1","is_oa":false,"landing_page_url":"https://doi.org/10.1016/s0005-1098(99)00210-1","pdf_url":null,"source":{"id":"https://openalex.org/S51360982","display_name":"Automatica","issn_l":"0005-1098","issn":["0005-1098","1873-2836"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Automatica","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008076356","display_name":"David Di Ruscio","orcid":null},"institutions":[{"id":"https://openalex.org/I4210120483","display_name":"Telemark Research Institute","ror":"https://ror.org/02jjgkb92","country_code":"NO","type":"facility","lineage":["https://openalex.org/I4210120483"]}],"countries":["NO"],"is_corresponding":true,"raw_author_name":"David Di Ruscio","raw_affiliation_strings":["Department of Process Automation, Telemark Institute of Technology, N-3914 Porsgrunn, Norway","Department of Process Automation, Telemark Institute of Technology, N-3914 Porsgrunn, Norway#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Process Automation, Telemark Institute of Technology, N-3914 Porsgrunn, Norway","institution_ids":["https://openalex.org/I4210120483"]},{"raw_affiliation_string":"Department of Process Automation, Telemark Institute of Technology, N-3914 Porsgrunn, Norway#TAB#","institution_ids":["https://openalex.org/I4210120483"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5008076356"],"corresponding_institution_ids":["https://openalex.org/I4210120483"],"apc_list":{"value":3500,"currency":"USD","value_usd":3500},"apc_paid":null,"fwci":7.01,"has_fulltext":false,"cited_by_count":47,"citation_normalized_percentile":{"value":0.97346644,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"36","issue":"6","first_page":"831","last_page":"850"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13487","display_name":"Statistical and numerical algorithms","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13487","display_name":"Statistical and numerical algorithms","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9919999837875366,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.7646030187606812},{"id":"https://openalex.org/keywords/qr-decomposition","display_name":"QR decomposition","score":0.6377242207527161},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.5395905375480652},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5284160375595093},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.4943969249725342},{"id":"https://openalex.org/keywords/polynomial","display_name":"Polynomial","score":0.4577133059501648},{"id":"https://openalex.org/keywords/least-squares-function-approximation","display_name":"Least-squares function approximation","score":0.4173102378845215},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.4147323966026306},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.4143100082874298},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.13826507329940796},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.12547126412391663},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11217045783996582}],"concepts":[{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.7646030187606812},{"id":"https://openalex.org/C188060507","wikidata":"https://www.wikidata.org/wiki/Q653242","display_name":"QR decomposition","level":3,"score":0.6377242207527161},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.5395905375480652},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5284160375595093},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.4943969249725342},{"id":"https://openalex.org/C90119067","wikidata":"https://www.wikidata.org/wiki/Q43260","display_name":"Polynomial","level":2,"score":0.4577133059501648},{"id":"https://openalex.org/C9936470","wikidata":"https://www.wikidata.org/wiki/Q6510405","display_name":"Least-squares function approximation","level":3,"score":0.4173102378845215},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.4147323966026306},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.4143100082874298},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.13826507329940796},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.12547126412391663},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11217045783996582},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/s0005-1098(99)00210-1","is_oa":false,"landing_page_url":"https://doi.org/10.1016/s0005-1098(99)00210-1","pdf_url":null,"source":{"id":"https://openalex.org/S51360982","display_name":"Automatica","issn_l":"0005-1098","issn":["0005-1098","1873-2836"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Automatica","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1595300985","https://openalex.org/W1848386137","https://openalex.org/W1966089218","https://openalex.org/W1976251851","https://openalex.org/W1978491237","https://openalex.org/W1979612645","https://openalex.org/W2015071882","https://openalex.org/W2030255580","https://openalex.org/W2033242948","https://openalex.org/W2034362174","https://openalex.org/W2049403614","https://openalex.org/W2052635053","https://openalex.org/W2058382695","https://openalex.org/W2059586807","https://openalex.org/W2079775628","https://openalex.org/W2087883561","https://openalex.org/W2097897435","https://openalex.org/W2104606180","https://openalex.org/W2107357525","https://openalex.org/W2128889010","https://openalex.org/W2160333357","https://openalex.org/W2166446427","https://openalex.org/W2169200817","https://openalex.org/W2798909945","https://openalex.org/W2913465992","https://openalex.org/W4206428854","https://openalex.org/W6675436802","https://openalex.org/W6721056942","https://openalex.org/W6750968397"],"related_works":["https://openalex.org/W3046517157","https://openalex.org/W2114458102","https://openalex.org/W2035885121","https://openalex.org/W2059421710","https://openalex.org/W2539577420","https://openalex.org/W2150953077","https://openalex.org/W2064184637","https://openalex.org/W2028213769","https://openalex.org/W4377371530","https://openalex.org/W2770973630"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}