diff --git a/README.md b/README.md
index 3159eff..f848761 100644
--- a/README.md
+++ b/README.md
@@ -28,6 +28,12 @@ pip install pip --upgrade
 pip install nrel.routee.powertrain
 ```
 
+If `pip` is unavailable, use `pip3`:
+```bash
+pip3 install pip --upgrade
+pip3 install nrel.routee.powertrain
+```
+
 (For more detailed instructions, see [here](https://nrel.github.io/routee-powertrain/installation.html))
 
 Then, you can import the package and use a pre-trained model from the RouteE model catalog:
@@ -80,9 +86,9 @@ print(model)
 # Predict energy consumption for a set of road links
 links_df = pd.DataFrame(
     {
-        "miles": [0.1, 0.2, 0.3], # miles
+        "distance": [0.1, 0.2, 0.3], # miles
         "speed_mph": [30, 40, 50], # mph
-        "grade_dec": [-0.05, 0, 0.05], # decimal
+        "grade_percent": [-0.5, 0, 0.5], # percent
     }
 )
 
diff --git a/docs/installation.md b/docs/installation.md
index f60ff1c..6db5ca0 100644
--- a/docs/installation.md
+++ b/docs/installation.md
@@ -1,4 +1,5 @@
 # Installation
+(In case `pip` is unavailable, use `pip3`)
 
 ## From PyPI
 
@@ -38,7 +39,15 @@ This should support usage of the following trainers:
 ### Rust Smartcore
 
 The rust smartcore training pipeline requires a rust compiler to be installed on your system.
-One way to do this is to use Anaconda:
+One way to do this is to use [Anaconda](https://docs.anaconda.com/anaconda/install/):
+
+Create a conda virtual environment as `routee`:
+
+```bash
+conda create --name routee
+conda init
+conda activate routee
+```
 
 ```bash
 conda install rust
diff --git a/rust/pyproject.toml b/rust/pyproject.toml
index c10caf7..4b8de50 100644
--- a/rust/pyproject.toml
+++ b/rust/pyproject.toml
@@ -4,6 +4,7 @@ build-backend = "maturin"
 
 [project]
 name = "powertrain_rust"
+version = "1.1.1"
 requires-python = ">=3.8"
 classifiers = [
     "Programming Language :: Rust",