Description Details Note Author(s) Examples
GPCAiteration
S3 class returned by GPCA_iteration
x_prev
Previous set of random variable, x_prev
input variable of GPCA_iteration
x_gauss_prev
Marginal Gaussianization of x_prev
obtained through normalizeGaussian_severalstations
B_prev
rotation matrix (i. e. eigenvector matrix of the covariance matrix of x_gauss_prev
)
x_next
results obtained by multiplying B_prev
by x_gauss_prev
(see equation 1 of the reference in GPCA_iteration
)
Formal definition with setOldClass
for the S3 class GPCAiteration
Emanuele Cordano
1 2 3 | showClass("GPCAiteration")
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