# output of print.PLADMM is correct

    Call: pladmm(rankings = salad_rankings, formula = ~acetic + gluconic, 
        data = features, rho = 8)
    
    Coefficients:
    (Intercept)       acetic     gluconic  
        -4.8410       3.2743       0.2739  

# output of print.summary.PLADMM is correct

    Call: pladmm(rankings = salad_rankings, formula = ~acetic + gluconic, 
        data = features, rho = 8)
    
    Coefficients:
                Estimate Std. Error z value Pr(>|z|)    
    (Intercept) -4.84097         NA      NA       NA    
    acetic       3.27431    0.57650   5.680 1.35e-08 ***
    gluconic     0.27392    0.04505   6.081 1.20e-09 ***
    ---
    Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
    
    Residual deviance:  152.9 on 190 degrees of freedom
    AIC:  156.9 
    Number of iterations: 14

