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Shows linear fit line for data points.
● Data Source:
CranContrib
● Keywords:
● Alias: mdaplot.showRegressionLine
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regcoeffs.getStat
(Package: mdatools) :
Confidence intervals and p-values for regression coeffificents
calculates confidence intervals and t-test based p-values for regression coefficients based on jack-knifing procedure
● Data Source:
CranContrib
● Keywords:
● Alias: regcoeffs.getStat
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Sensitivity plot
● Data Source:
CranContrib
● Keywords:
● Alias: plotSensitivity
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Shows a plot with Q residuals vs. Hotelling T2 values for PLS decomposition of x data.
● Data Source:
CranContrib
● Keywords:
● Alias: plotXResiduals.plsres
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Get data, used for calibration of the PCA model
● Data Source:
CranContrib
● Keywords:
● Alias: getCalibrationData.pca
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plotVariance.ldecomp
(Package: mdatools) :
Explained variance plot for linear decomposition
Shows a plot with explained variance values vs. number of components.
● Data Source:
CranContrib
● Keywords:
● Alias: plotVariance.ldecomp
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summary.simcam
(Package: mdatools) :
Summary method for SIMCAM model object
Shows performance statistics for the model.
● Data Source:
CranContrib
● Keywords:
● Alias: summary.simcam
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Returns a matrix with model performance statistics for PLS-DA results
● Data Source:
CranContrib
● Keywords:
● Alias: as.matrix.plsdares
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as.matrix.regcoeffs
(Package: mdatools) :
as.matrix method for regression coefficients class
returns matrix with regression coeffocoents for given response number and amount of components
● Data Source:
CranContrib
● Keywords:
● Alias: as.matrix.regcoeffs
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Applies PCA model to a new data
● Data Source:
CranContrib
● Keywords:
● Alias: predict.pca
●
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providing 
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