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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