title: [Principal components analysis].
abstract: OBJECTIVE
  This study wants to identify factors or components latent besides health indicators from Spanish regions, and its graphic output.
  
  
  METHODS
  Observational study.
  
  
  METHODS
  Twenty eight indicators from regions were used: mortality, morbidity, communicable and no-communicable diseases, diet, dwelling and sanitary resources. Measurement was made between 1980-1988.
  
  
  METHODS
  Principal component analysis has been applied to the indicators, reducing data dimension.
  
  
  RESULTS
  Eight factors have been extracted, which explain 90% of the original information. This analysis, as can be seen from communnalities, represents correctly the set of original variables. The factors with more easily interpretation were: shortage sanitary resources, develop diet, mortality, chronic diseases and accidental.
  
  
  CONCLUSIONS
  Only reduction data dimension could be justify the use of principal component analysis. Behind the agrupation of variables is mostly the socioeconomic background.
authors.affiliation: Unidad Docente de Medicinia Familiar y Comunitaria de Zaragoza.
authors.forename: J A
authors.initials: JA
authors.lastname: López del Val
authors.forename: J P
authors.initials: JP
authors.lastname: Alonso Pérez de Agreda
mesh_terms: D006305:Health Status Indicators; D011320:Primary Health Care / Q000706:statistics & numerical data*; D013030:Spain
vernacular_title: Análisis de componentes principales.