Predict method for class `big_sp`

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

## Arguments

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. |

... |
Not used. |

## Value

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

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## See also