plotresprm
(Package: chemometrics) :
Plot residuals from repeated DCV of PRM
Generate plot showing residuals for Repeated Double Cross Validation for Partial Robust M-regression
● Data Source:
CranContrib
● Keywords: multivariate
● Alias: plotresprm
●
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svmEval
(Package: chemometrics) :
Support Vector Machine evaluation by CV
Evaluation for Support Vector Machines (SVM) by cross-validation
● Data Source:
CranContrib
● Keywords: multivariate
● Alias: svmEval
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prm_dcv
(Package: chemometrics) :
Repeated double-cross-validation for robust PLS
Performs a careful evaluation by repeated double-CV for robust PLS, called PRM (partial robust M-estimation).
● Data Source:
CranContrib
● Keywords: multivariate
● Alias: prm_dcv
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pcaCV
(Package: chemometrics) :
Determine the number of PCA components with repeated cross validation
By splitting data into training and test data repeatedly the number of principal components can be determined by inspecting the distribution of the explained variances.
● Data Source:
CranContrib
● Keywords: multivariate
● Alias: pcaCV
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plotpredprm
(Package: chemometrics) :
Plot predictions from repeated DCV of PRM
Generate plot showing predicted values for Repeated Double Cross Validation of Partial Robust M-regression
● Data Source:
CranContrib
● Keywords: multivariate
● Alias: plotpredprm
●
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sd_trim
(Package: chemometrics) :
Trimmed standard deviation
The trimmed standard deviation as a robust estimator of scale is computed.
● Data Source:
CranContrib
● Keywords: manip
● Alias: sd_trim
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plotpredmvr
(Package: chemometrics) :
Plot predictions from repeated DCV
Generate plot showing predicted values for Repeated Double Cross Validation
● Data Source:
CranContrib
● Keywords: multivariate
● Alias: plotpredmvr
●
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pls_eigen
(Package: chemometrics) :
Eigenvector algorithm for PLS
Computes the PLS solution by eigenvector decompositions.
● Data Source:
CranContrib
● Keywords: multivariate
● Alias: pls_eigen
●
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lmCV
(Package: chemometrics) :
Repeated Cross Validation for lm
Repeated Cross Validation for multiple linear regression: a cross-validation is performed repeatedly, and standard evaluation measures are returned.
● Data Source:
CranContrib
● Keywords: multivariate
● Alias: lmCV
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Performs cross-validation (CV) for Lasso regression and plots the results in order to select the optimal Lasso parameter.
● Data Source:
CranContrib
● Keywords: multivariate
● Alias: lassoCV
●
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providing 
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