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robust multivariate principal component analysis (rpca)  (SAS institute)
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SAS institute robust multivariate principal component analysis (rpca)
Robust principal component analysis of equilibrium molar abundances of minerals produced. Symbol shape indicates protolith: circles, ALH77005; diamonds, Chassigny; squares, Nakhla; triangle pointing up, Máaz; triangle pointing down, Séítah. Colors of symbols reflect water type. Scree plot shows eigenvalues and percentage of eigenvector influence. See embedded legend. Eigenvalues are based on data covariances.
Robust Multivariate Principal Component Analysis (Rpca), supplied by SAS institute, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Robust principal component analysis of equilibrium molar abundances of minerals produced. Symbol shape indicates protolith: circles, ALH77005; diamonds, Chassigny; squares, Nakhla; triangle pointing up, Máaz; triangle pointing down, Séítah. Colors of symbols reflect water type. Scree plot shows eigenvalues and percentage of eigenvector influence. See embedded legend. Eigenvalues are based on data covariances.

Journal: Life

Article Title: Mineral Indicators of Geologically Recent Past Habitability on Mars

doi: 10.3390/life13122349

Figure Lengend Snippet: Robust principal component analysis of equilibrium molar abundances of minerals produced. Symbol shape indicates protolith: circles, ALH77005; diamonds, Chassigny; squares, Nakhla; triangle pointing up, Máaz; triangle pointing down, Séítah. Colors of symbols reflect water type. Scree plot shows eigenvalues and percentage of eigenvector influence. See embedded legend. Eigenvalues are based on data covariances.

Article Snippet: SAS Institute Inc., Cary, NC, USA, 1989–2023, applying robust multivariate principal component analysis (RPCA) to cleaned data [ , , , ].

Techniques: Produced