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

Author

Sadeghi-Bazargani, Homayoun ; Banani, Armita ; Mohammadi, Sadollah

Author_Institution

PHS Dept., Karolinska Inst., Stockholm, Sweden

fYear

2010

Firstpage

1

Lastpage

9

Abstract

Soft 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.

Keywords

data analysis; least mean squares methods; pattern clustering; regression analysis; software packages; software tools; tree data structures; SIMCA statistical software package; SIMCA-P+ Version 12; Umetrics; class analogy; cluster analysis; latent structure modeling; multivariate data analysis software; orthogonal projection; partial least squares regression; soft independent modeling; Analytical models; Megavariate analysis; Multivariate analysis; Orthogonal Projections to Latent Structures; Partial least square regression; SIMCA-P+12; statistical software package;

fLanguage

English

Publisher

ieee

Conference_Titel

World Automation Congress (WAC), 2010

Conference_Location

Kobe

ISSN

2154-4824

Print_ISBN

978-1-4244-9673-0

Electronic_ISBN

2154-4824

Type

conf

Filename

5665603