data_cleaned_mlpca_d

<p>A dataset where the values are estimated after mlpca_d is applied.</p>

datasets

R implementation of Maximum Likelihood Principal Component Analysis
The main idea of this package is to have an alternative way of PCA for
subspace modeling that considers measurement errors.
More details can be found in Peter D. Wentzell (2009)
<doi:10.1016/B978-0-444-64165-6.03029-9>.

Renan Santos Barbosa

RMLPCA

Maximum Likelihood Principal Component Analysis

data_cleaned_mlpca_d function

<p>A matrix with 300 rows and 20 columns</p>

data_cleaned_mlpca_d: Cleaned dataset after applied MLPCA D used for tests only

Description

Usage

Arguments

Format

References