.html#collinearity.section">collinearity section</a>.</p>
<pre><code>data {
  int N;
  real y[N];
}
parameters {
  real lambda1;
  real lambda2;
  real&lt;lower=0&gt; sigma;
}
transformed parameters {
  real mu;
  mu = lambda1 + lambda2;
}
model {
  y ~ normal(mu, sigma);
}</code></pre>
<p>The second adds priors to the model block for <code>lambda1</code> and
<code>lambda2</code> to the previous model.</p>
<pre><code>  lambda1 ~ normal(0, 10);
  lambda2 ~ normal(0, 10);</code></pre>
<p>The third involves a 