diff --git a/light-curve/Cargo.lock b/light-curve/Cargo.lock
index b2c95f02..07ef3a3c 100644
--- a/light-curve/Cargo.lock
+++ b/light-curve/Cargo.lock
@@ -1033,9 +1033,9 @@ dependencies = [
 
 [[package]]
 name = "light-curve-feature"
-version = "0.7.0"
+version = "0.7.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "fd670fd925f27b3913c05c4bbc311ceb3b6ef1298ec314ef9d81e57330e690a8"
+checksum = "30cc95c1765fd65fc08cc324ef4120781f53bcaa2b7571276c17f93eb08eb5e9"
 dependencies = [
  "GSL",
  "ceres-solver",
diff --git a/light-curve/Cargo.toml b/light-curve/Cargo.toml
index e0c0adbb..c4b04783 100644
--- a/light-curve/Cargo.toml
+++ b/light-curve/Cargo.toml
@@ -56,5 +56,5 @@ version = "0.7.1"
 features = ["serde"]
 
 [dependencies.light-curve-feature]
-version = "0.7.0"
+version = "0.7.1"
 default_features = false
diff --git a/light-curve/src/features.rs b/light-curve/src/features.rs
index 2fa6cdca..262f6b79 100644
--- a/light-curve/src/features.rs
+++ b/light-curve/src/features.rs
@@ -1793,6 +1793,8 @@ Examples
 
 evaluator!(ReducedChi2, lcf::ReducedChi2, StockTransformer::Ln1p);
 
+evaluator!(Roms, lcf::Roms, StockTransformer::Identity);
+
 evaluator!(Skew, lcf::Skew, StockTransformer::Arcsinh);
 
 evaluator!(
diff --git a/light-curve/src/lib.rs b/light-curve/src/lib.rs
index 683e6475..f3b0c63e 100644
--- a/light-curve/src/lib.rs
+++ b/light-curve/src/lib.rs
@@ -95,6 +95,7 @@ fn light_curve(py: Python, m: Bound<PyModule>) -> PyResult<()> {
     m.add_class::<f::PercentDifferenceMagnitudePercentile>()?;
     m.add_class::<f::Periodogram>()?;
     m.add_class::<f::ReducedChi2>()?;
+    m.add_class::<f::Roms>()?;
     m.add_class::<f::Skew>()?;
     m.add_class::<f::StandardDeviation>()?;
     m.add_class::<f::StetsonK>()?;
diff --git a/light-curve/tests/test_w_bench.py b/light-curve/tests/test_w_bench.py
index b4ce33af..154e90de 100644
--- a/light-curve/tests/test_w_bench.py
+++ b/light-curve/tests/test_w_bench.py
@@ -579,6 +579,10 @@ def naive(self, t, m, sigma):
         return np.sum(np.square(m - np.average(m, weights=w)) * w) / (m.size - 1)
 
 
+class TestRoms(_Test):
+    name = "Roms"
+
+
 class TestSkew(_Test):
     name = "Skew"