# `pp_robust_direct_standardization` — Robust Direct Standardization

_Group_: **Signal transforms** · _Binding_: `n4m.sklearn.RobustDirectStandardization` · _C ABI_: `n4m_pp_robust_direct_standardization_*`

## Description

Direct standardization with iterative residual trimming.

### Parameters

| Name | Type | Default |
|------|------|---------|
| `fit_intercept` | `bool` | `True` |
| `ridge` | `float` | `0.0` |
| `trim_quantile` | `float` | `0.9` |
| `max_iter` | `int` | `3` |

## Explanations

### Bibliographic source

_Standard spectroscopic operator — see the nirs4all preprocessing / augmentation handbook and the cited literature within the binding docstring._

### Mathematical principle

Direct standardization with iterative residual trimming.

### Implementation

C ABI `n4m_pp_robust_direct_standardization_*` in libn4m (create / apply / destroy lifecycle), wrapped by `n4m.sklearn.RobustDirectStandardization`. The same numerical kernel backs every language binding.

### Usage

```python
from n4m.sklearn import RobustDirectStandardization
op = RobustDirectStandardization()
X_transformed = op.fit_transform(X)
```

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_See also_: [methods index](index.md) · [interactive dashboard](../landing/dashboard.md)