# Class EotMode

### Description

Class EotMode

### Slots

`mode`

the number of the identified mode

`name`

the name of the mode

`eot`

the EOT (time series) at the identified base point. Note, this is a simple numeric vector

`coords_bp`

the coordinates of the identified base point

`cell_bp`

the cell number of the indeified base point

`cum_exp_var`

the cumulative explained variance of the considered EOT mode

`r_predictor`

the RasterLayer of the correlation coefficients between the base point and each pixel of the predictor domain

`rsq_predictor`

as above but for the coefficient of determination of the predictor domain

`rsq_sums_predictor`

as above but for the sums of coefficient of determination of the predictor domain

`int_predictor`

the RasterLayer of the intercept of the regression equation for each pixel of the predictor domain

`slp_predictor`

same as above but for the slope of the regression equation for each pixel of the predictor domain

`p_predictor`

the RasterLayer of the significance (p-value) of the the regression equation for each pixel of the predictor domain

`resid_predictor`

the RasterBrick of the reduced data for the predictor domain

`r_response`

the RasterLayer of the correlation coefficients between the base point and each pixel of the response domain

`rsq_response`

as above but for the coefficient of determination of the response domain

`int_response`

the RasterLayer of the intercept of the regression equation for each pixel of the response domain

`slp_response`

as above but for the slope of the regression equation for each pixel of the response domain

`p_response`

same the RasterLayer of the significance (p-value) of the the regression equation for each pixel of the response domain

`resid_response`

the RasterBrick of the reduced data for the response domain