Title :
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
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;
Conference_Titel :
World Automation Congress (WAC), 2010
Conference_Location :
Kobe
Print_ISBN :
978-1-4244-9673-0
Electronic_ISBN :
2154-4824
