{"id":"https://openalex.org/W2967216837","doi":"https://doi.org/10.1007/s11634-019-00370-x","title":"Connecting the multivariate partial least squares with canonical analysis: a path-following approach","display_name":"Connecting the multivariate partial least squares with canonical analysis: a path-following approach","publication_year":2019,"publication_date":"2019-08-16","ids":{"openalex":"https://openalex.org/W2967216837","doi":"https://doi.org/10.1007/s11634-019-00370-x","mag":"2967216837"},"language":"en","primary_location":{"id":"doi:10.1007/s11634-019-00370-x","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11634-019-00370-x","pdf_url":null,"source":{"id":"https://openalex.org/S4210175730","display_name":"Advances in Data Analysis and Classification","issn_l":"1862-5347","issn":["1862-5347","1862-5355"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Data Analysis and Classification","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/A5024372805","display_name":"Luk\u00e1\u0161 Malec","orcid":"https://orcid.org/0000-0002-5586-4397"},"institutions":[{"id":"https://openalex.org/I2801355324","display_name":"University of Business in Prague","ror":"https://ror.org/04rgg2p32","country_code":"CZ","type":"education","lineage":["https://openalex.org/I2801355324"]}],"countries":["CZ"],"is_corresponding":true,"raw_author_name":"Luk\u00e1\u0161 Malec","raw_affiliation_strings":["Department of Information Technologies and Analytical Methods, University College of Business, Prague, Czech Republic"],"raw_orcid":"https://orcid.org/0000-0002-5586-4397","affiliations":[{"raw_affiliation_string":"Department of Information Technologies and Analytical Methods, University College of Business, Prague, Czech Republic","institution_ids":["https://openalex.org/I2801355324"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023565456","display_name":"Vladim\u00edr Janovsk\u00fd","orcid":"https://orcid.org/0000-0003-2311-381X"},"institutions":[{"id":"https://openalex.org/I21250087","display_name":"Charles University","ror":"https://ror.org/024d6js02","country_code":"CZ","type":"education","lineage":["https://openalex.org/I21250087"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Vladim\u00edr Janovsk\u00fd","raw_affiliation_strings":["Department of Numerical Analysis, Faculty of Mathematics and Physics, Charles University, Prague, Czech Republic"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Numerical Analysis, Faculty of Mathematics and Physics, Charles University, Prague, Czech Republic","institution_ids":["https://openalex.org/I21250087"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5024372805"],"corresponding_institution_ids":["https://openalex.org/I2801355324"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":0.1444,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.44233207,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"14","issue":"3","first_page":"589","last_page":"609"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9987000226974487,"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":0.9987000226974487,"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":0.9947999715805054,"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"}},{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9916999936103821,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/canonical-correlation","display_name":"Canonical correlation","score":0.7833662033081055},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6889398694038391},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.6427261829376221},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.5976525545120239},{"id":"https://openalex.org/keywords/canonical-form","display_name":"Canonical form","score":0.5417308211326599},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.5269939303398132},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.5135786533355713},{"id":"https://openalex.org/keywords/continuation","display_name":"Continuation","score":0.486316055059433},{"id":"https://openalex.org/keywords/least-squares-function-approximation","display_name":"Least-squares function approximation","score":0.48245149850845337},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.4819190800189972},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.46684250235557556},{"id":"https://openalex.org/keywords/partial-derivative","display_name":"Partial derivative","score":0.4551118016242981},{"id":"https://openalex.org/keywords/chebyshev-filter","display_name":"Chebyshev filter","score":0.45080631971359253},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.4182981848716736},{"id":"https://openalex.org/keywords/partial-least-squares-regression","display_name":"Partial least squares regression","score":0.4119933545589447},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.41041770577430725},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.25304627418518066},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.2421669363975525},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2367827594280243},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.10567659139633179}],"concepts":[{"id":"https://openalex.org/C153874254","wikidata":"https://www.wikidata.org/wiki/Q115542","display_name":"Canonical correlation","level":2,"score":0.7833662033081055},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6889398694038391},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.6427261829376221},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.5976525545120239},{"id":"https://openalex.org/C204707403","wikidata":"https://www.wikidata.org/wiki/Q1152398","display_name":"Canonical form","level":2,"score":0.5417308211326599},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.5269939303398132},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.5135786533355713},{"id":"https://openalex.org/C88626702","wikidata":"https://www.wikidata.org/wiki/Q1128903","display_name":"Continuation","level":2,"score":0.486316055059433},{"id":"https://openalex.org/C9936470","wikidata":"https://www.wikidata.org/wiki/Q6510405","display_name":"Least-squares function approximation","level":3,"score":0.48245149850845337},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.4819190800189972},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.46684250235557556},{"id":"https://openalex.org/C53846429","wikidata":"https://www.wikidata.org/wiki/Q186475","display_name":"Partial derivative","level":2,"score":0.4551118016242981},{"id":"https://openalex.org/C21424316","wikidata":"https://www.wikidata.org/wiki/Q718621","display_name":"Chebyshev filter","level":2,"score":0.45080631971359253},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.4182981848716736},{"id":"https://openalex.org/C22354355","wikidata":"https://www.wikidata.org/wiki/Q422009","display_name":"Partial least squares regression","level":2,"score":0.4119933545589447},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.41041770577430725},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.25304627418518066},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.2421669363975525},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2367827594280243},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.10567659139633179},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s11634-019-00370-x","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11634-019-00370-x","pdf_url":null,"source":{"id":"https://openalex.org/S4210175730","display_name":"Advances in Data Analysis and Classification","issn_l":"1862-5347","issn":["1862-5347","1862-5355"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Data Analysis and Classification","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:spr:advdac:v:14:y:2020:i:3:d:10.1007_s11634-019-00370-x","is_oa":false,"landing_page_url":"http://link.springer.com/10.1007/s11634-019-00370-x","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5099999904632568,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W253307310","https://openalex.org/W1557899381","https://openalex.org/W1575147392","https://openalex.org/W1576898078","https://openalex.org/W1880968486","https://openalex.org/W1967827763","https://openalex.org/W1968206427","https://openalex.org/W1975277883","https://openalex.org/W2000351871","https://openalex.org/W2014725748","https://openalex.org/W2017634446","https://openalex.org/W2018720956","https://openalex.org/W2058609948","https://openalex.org/W2068117795","https://openalex.org/W2073300221","https://openalex.org/W2081696580","https://openalex.org/W2098290597","https://openalex.org/W2129703904","https://openalex.org/W2130694104","https://openalex.org/W2133946066","https://openalex.org/W2148150708","https://openalex.org/W2253078065","https://openalex.org/W2339393786","https://openalex.org/W2798909945","https://openalex.org/W2963261555","https://openalex.org/W4205462863","https://openalex.org/W4236848741","https://openalex.org/W4300657400","https://openalex.org/W4301807748"],"related_works":["https://openalex.org/W2352275403","https://openalex.org/W2159885618","https://openalex.org/W1968846550","https://openalex.org/W2182589214","https://openalex.org/W2079181692","https://openalex.org/W2155481293","https://openalex.org/W2120081959","https://openalex.org/W4251602300","https://openalex.org/W207577366","https://openalex.org/W2525150876"],"abstract_inverted_index":null,"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}