title: Interpretation of an lmer output
body: <p>I'm new here, I've tried to run a lmer model:</p>
  <pre><code>lmer = lmer(RI ~ SET + LOG_VP + (1|API) + (1|ODOUR), data = a)
  </code></pre>
  <p>Could someone help me interpret the output?</p>
  <pre><code>  Linear mixed model fit by REML ['lmerMod'] 
  Formula: RI ~ SET + LOG_VP + (1 | API) + (1 | ODOUR)
  Data: a
  REML criterion at convergence: -349.9
  Scaled residuals: 
  Min      1Q  Median      3Q     Max 
  -2.6167 -0.4719 -0.0357  0.5053  8.4850 
  Random effects:
  Groups   Name        Variance Std.Dev.
  API      (Intercept) 0.01431  0.11964 
  ODOUR    (Intercept) 0.00415  0.06442 
  Residual             0.00778  0.08820 
  Number of obs: 238, groups:  API, 34; ODOUR, 14
  Fixed effects:
               Estimate Std. Error t value
  (Intercept)  0.15716    0.08792   1.787
  SET          0.08180    0.05490   1.490
  LOG_VP       0.03527    0.01968   1.792
  Correlation of Fixed Effects:
          (Intr) SET   
  SET    -0.950       
  LOG_VP  0.083 -0.049
  </code></pre>
  <p>Thank you!</p>