wine                  package:gclus                  R Documentation

_W_i_n_e _r_e_c_o_g_n_i_t_i_o_n _d_a_t_a

_D_e_s_c_r_i_p_t_i_o_n:

     Data from the machine learning repository. A chemical analysis of
     178 Italian wines from three different cultivars yielded 13 
     measurements. This dataset is often used to test and compare the
     performance of various classification algorithms.

_U_s_a_g_e:

     data(wine)

_F_o_r_m_a_t:

     This data frame contains the following columns:

     _C_l_a_s_s: There are 3 classes

     _A_l_c_o_h_o_l: Alcohol

     _M_a_l_i_c: Malic acid

     _A_s_h: Ash

     _A_l_c_a_l_i_n_i_t_y: Alcalinity of ash

     _M_a_g_n_e_s_i_u_m: Magnesium

     _P_h_e_n_o_l_s: Total phenols

     _F_l_a_v_a_n_o_i_d_s: Flavanoids

     _N_o_n_f_l_a_v_a_n_o_i_d: Nonflavanoid phenols

     _P_r_o_a_n_t_h_o_c_y_a_n_i_n_s: Proanthocyanins

     _I_n_t_e_n_s_i_t_y: Color intensity

     _H_u_e: Hue

     _O_D_2_8_0: OD280/OD315 of diluted wines

     _P_r_o_l_i_n_e: Proline

_S_o_u_r_c_e:

     Forina, M. et al, PARVUS - An Extendible Package for Data
     Exploration, Classification and Correlation. Institute of
     Pharmaceutical and Food Analysis and Technologies, Via Brigata
     Salerno,  16147 Genoa, Italy.

