Principal Components Analysis: Difference between revisions

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:[[estimatefactors]] - Estimate number of significant factors in multivariate data.
:[[estimatefactors]] - Estimate number of significant factors in multivariate data.
:[[jmlimit]] - Confidence limits for Q residuals via Jackson-Mudholkar.
:[[jmlimit]] - Confidence limits for Q residuals via Jackson-Mudholkar.
:[[knnscoredistance]] - Calculate the average distance to the k-Nearest Neighbors in score space.
:[[manrotate]] - Graphical interface to manually rotate model loadings.
:[[manrotate]] - Graphical interface to manually rotate model loadings.
:[[mlpca]] - Maximum likelihood principal components analysis.
:[[mlpca]] - Maximum likelihood principal components analysis.

Latest revision as of 10:46, 28 August 2009

chilimit - Chi-squared confidence limits from sum-of-squares residuals.
datahat - Calculates the model estimate and residuals of the data.
estimatefactors - Estimate number of significant factors in multivariate data.
jmlimit - Confidence limits for Q residuals via Jackson-Mudholkar.
knnscoredistance - Calculate the average distance to the k-Nearest Neighbors in score space.
manrotate - Graphical interface to manually rotate model loadings.
mlpca - Maximum likelihood principal components analysis.
pca - Principal components analysis.
pcaengine - Principal Components Analysis computational engine.
pcapro - Projects new data on old principal components model.
plotloads - Extract and display loadings information from a model structure.
plotscores - Extract and display score information from a model.
residuallimit - Estimates confidence limits for sum squared residuals.
ssqtable - Displays variance captured table for model.
subgroupcl - Displays a confidence ellipse for points in a two-dimensional plot.
tsqlim - Confidence limits for Hotelling's T^2.
tsqmtx - Calculates matrix for T^2 contributions for PCA.
varcap - Variance captured for each variable in PCA model.
varimax - Orthogonal rotation of loadings.

(Sub topic of Categorical_Index)