{"id":"https://openalex.org/W2076156192","doi":"https://doi.org/10.1137/0915015","title":"A Reformulation of the Partial Least Squares Regression Algorithm","display_name":"A Reformulation of the Partial Least Squares Regression Algorithm","publication_year":1994,"publication_date":"1994-01-01","ids":{"openalex":"https://openalex.org/W2076156192","doi":"https://doi.org/10.1137/0915015","mag":"2076156192"},"language":"en","primary_location":{"id":"doi:10.1137/0915015","is_oa":false,"landing_page_url":"https://doi.org/10.1137/0915015","pdf_url":null,"source":{"id":"https://openalex.org/S165512578","display_name":"SIAM Journal on Scientific Computing","issn_l":"1064-8275","issn":["1064-8275","1095-7197"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320508","host_organization_name":"Society for Industrial and Applied Mathematics","host_organization_lineage":["https://openalex.org/P4310320508"],"host_organization_lineage_names":["Society for Industrial and Applied Mathematics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIAM Journal on Scientific Computing","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/A5022907687","display_name":"P. Young","orcid":"https://orcid.org/0000-0002-2565-1964"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"P. J. Young","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5022907687"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4057,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.56897982,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"15","issue":"1","first_page":"225","last_page":"230"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9976999759674072,"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"}},"topics":[{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9976999759674072,"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/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9897000193595886,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"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/T13487","display_name":"Statistical and numerical algorithms","score":0.9879999756813049,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.7567747235298157},{"id":"https://openalex.org/keywords/partial-least-squares-regression","display_name":"Partial least squares regression","score":0.7011844515800476},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6678040027618408},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5507972836494446},{"id":"https://openalex.org/keywords/interpretation","display_name":"Interpretation (philosophy)","score":0.5427657961845398},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.5286952257156372},{"id":"https://openalex.org/keywords/total-least-squares","display_name":"Total least squares","score":0.4717696011066437},{"id":"https://openalex.org/keywords/least-squares-function-approximation","display_name":"Least-squares function approximation","score":0.42362940311431885},{"id":"https://openalex.org/keywords/current","display_name":"Current (fluid)","score":0.423267126083374},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.34948310256004333},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2594100832939148},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.1806974709033966}],"concepts":[{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.7567747235298157},{"id":"https://openalex.org/C22354355","wikidata":"https://www.wikidata.org/wiki/Q422009","display_name":"Partial least squares regression","level":2,"score":0.7011844515800476},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6678040027618408},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5507972836494446},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.5427657961845398},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.5286952257156372},{"id":"https://openalex.org/C169241690","wikidata":"https://www.wikidata.org/wiki/Q7828122","display_name":"Total least squares","level":3,"score":0.4717696011066437},{"id":"https://openalex.org/C9936470","wikidata":"https://www.wikidata.org/wiki/Q6510405","display_name":"Least-squares function approximation","level":3,"score":0.42362940311431885},{"id":"https://openalex.org/C148043351","wikidata":"https://www.wikidata.org/wiki/Q4456944","display_name":"Current (fluid)","level":2,"score":0.423267126083374},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.34948310256004333},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2594100832939148},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.1806974709033966},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1137/0915015","is_oa":false,"landing_page_url":"https://doi.org/10.1137/0915015","pdf_url":null,"source":{"id":"https://openalex.org/S165512578","display_name":"SIAM Journal on Scientific Computing","issn_l":"1064-8275","issn":["1064-8275","1095-7197"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320508","host_organization_name":"Society for Industrial and Applied Mathematics","host_organization_lineage":["https://openalex.org/P4310320508"],"host_organization_lineage_names":["Society for Industrial and Applied Mathematics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIAM Journal on Scientific Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1979612645","https://openalex.org/W1983071150","https://openalex.org/W2034362174","https://openalex.org/W2060462041","https://openalex.org/W2104969279","https://openalex.org/W2160333357","https://openalex.org/W2166446427","https://openalex.org/W4292023222"],"related_works":["https://openalex.org/W1986698577","https://openalex.org/W2359803370","https://openalex.org/W2034819163","https://openalex.org/W2352570898","https://openalex.org/W2125225254","https://openalex.org/W2043225268","https://openalex.org/W2429686810","https://openalex.org/W2021174884","https://openalex.org/W2394208570","https://openalex.org/W2192745683"],"abstract_inverted_index":{"A":[0],"new":[1,27],"algorithm":[2,28],"for":[3],"partial":[4],"least":[5],"squares":[6],"regression":[7],"is":[8,11,38,47],"introduced":[9],"that":[10],"shown":[12],"to":[13],"be":[14],"equivalent":[15],"to,":[16],"and":[17,37],"more":[18],"efficient":[19],"than,":[20],"the":[21,26,34,45],"current":[22],"algorithms.":[23],"In":[24],"addition,":[25],"works":[29],"explicitly":[30],"in":[31],"terms":[32],"of":[33,44],"factor":[35],"loadings":[36],"therefore":[39],"particularly":[40],"useful":[41],"when":[42],"interpretation":[43],"factors":[46],"required.":[48]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2014,"cited_by_count":14},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
