Predict method for class `big_sp`

.

```
# S3 method for big_sp
predict(object, X, ind.row, ind.col, covar.row = NULL, ncores = 1, ...)
```

- object
Object of class

`big_sp`

.- X
An object of class FBM.

- ind.row
An optional vector of the row indices that are used. If not specified, all rows are used.

**Don't use negative indices.**- ind.col
An optional vector of the column indices that are used. If not specified, all columns are used.

**Don't use negative indices.**- covar.row
Matrix of covariables to be added in each model to correct for confounders (e.g. the scores of PCA), corresponding to

`ind.row`

. Default is`NULL`

and corresponds to only adding an intercept to each model. You can use`covar_from_df()`

to convert from a data frame.- ncores
Number of cores used. Default doesn't use parallelism. You may use nb_cores.

- ...
Not used.

A vector of scores, corresponding to `ind.row`

.

big_spLinReg and big_spLogReg.