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Multivariate Exploratory Comparative Analysis of LaLiga Teams: Principal Component Analysis

2021

The use of principal component analysis (PCA) provides information about the main characteristics of teams, based on a set of indicators, instead of displaying individualized information for each of these indicators. In this work we have considered reducing an extensive data matrix to improve interpretation, using PCA. Subsequently, with new components and with multiple linear regression, we have carried out a comparative analysis between the best and bottom teams of LaLiga. The sample consisted of the matches corresponding to the 2015/16, 2016/17 and 2017/18 seasons. The results showed that the best teams were characterized and differentiated from bottom teams in the realization of a great…

Multivariate statisticsMultivariate analysisComputer scienceprincipal component analysisHealth Toxicology and MutagenesisFootballPrincipal component analysiselite footballlcsh:MedicineSample (statistics)FootballAthletic Performance050105 experimental psychologyArticle5899 Otras Especialidades Pedagógicas03 medical and health sciences0302 clinical medicineStatisticsSoccerLaLigaAnàlisi multivariable0501 psychology and cognitive sciencesperformance analysisEspanyaSet (psychology)05 social scienceslcsh:RPerformance analysisPublic Health Environmental and Occupational HealthOffensiveElite footballEquips de futbol030229 sport sciencesmultivariate analysisFutbolMultivariate analysisSpainPrincipal component analysisPerformance indicatorSoccer team
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