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Using SIMCA statistical software package to apply orthogonal projections to latent structures modeling

dc.contributor.authorSadeghi-Bazargani, H
dc.contributor.authorBanani, A
dc.contributor.authorMohammadi, S
dc.date.accessioned2018-08-26T09:44:28Z
dc.date.available2018-08-26T09:44:28Z
dc.date.issued2010
dc.identifier.urihttp://dspace.tbzmed.ac.ir:8080/xmlui/handle/123456789/58671
dc.description.abstractSoft independent modeling of class analogy(SIMCA) has been the standard statistical modeling Umetrics has released SIMCA-P+ Version 12, which is a multivariate data analysis (MVDA)software that performs cluster analysis and partial least squares (PLS) regression with classification trees as well as recently developed modeling technique as well as orthogonal projections to latent structures. In this paper we will discuss briefly the general capabilities of the SIMCA software package and will get focused on PLS and OPLS statistical modeling techniques.
dc.language.isoEnglish
dc.relation.ispartof2010 World Automation Congress, WAC 2010
dc.relation.ispartof2010 World Automation Congress, WAC 2010
dc.subjectMegavariate analysis
dc.subjectMulti variate analysis
dc.subjectOrthogonal projection
dc.subjectPartial least square regression
dc.subjectSIMCA-P+12
dc.subjectStatistical software packages
dc.subjectCluster analysis
dc.subjectPackaging
dc.subjectPrincipal component analysis
dc.subjectRegression analysis
dc.subjectSoftware packages
dc.subjectStatistics
dc.subjectTrees (mathematics)
dc.subjectMultivariant analysis
dc.subjectComputer Programs
dc.subjectData Processing
dc.subjectMathematical Models
dc.subjectStatistical Analysis
dc.titleUsing SIMCA statistical software package to apply orthogonal projections to latent structures modeling
dc.typeReview
dc.citation.epage
dc.citation.indexScopus
dc.citation.URLhttps://ieeexplore.ieee.org/document/5665603/metrics#metrics


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